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2,880 results on '"Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL)"'

1. The Dial-a-Ride Problem with School Bell Time Adjustment

Author: Samuel Vercraene, Fabien Lehuédé, Thibaud Monteiro, Olivier Péton, Décision et Information pour les Systèmes de Production (DISP), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université Lumière - Lyon 2 (UL2), Institut National des Sciences Appliquées (INSA)-Université de Lyon, Département Automatique, Productique et Informatique (IMT Atlantique - DAPI), IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Systèmes Logistiques et de Production (SLP ), Laboratoire des Sciences du Numérique de Nantes (LS2N), Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université Lumière - Lyon 2 (UL2)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA), Modélisation, Optimisation et DEcision pour la Logistique, l'Industrie et les Services (LS2N - équipe MODELIS), Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-École Centrale de Nantes (Nantes Univ - ECN), Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes université - UFR des Sciences et des Techniques (Nantes univ - UFR ST), Nantes Université - pôle Sciences et technologie, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes Université - pôle Sciences et technologie, Nantes Université (Nantes Univ)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Nantes Université (Nantes Univ), IMT Atlantique (IMT Atlantique), and Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)
Subjects: healthcare logistics, large neighborhood search, paratransit, matheuristic, [INFO]Computer Science [cs], Transportation, school bell time adjustment, [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO], vehicle routing, dial-a-ride problem, Civil and Structural Engineering
Abstract: In this paper, we study a paratransit application in which children are transported every day from their homes to their special schools or medical-social establishments. To optimize this transportation system, the establishments collaborate to propose a joint transportation plan. We propose a new algorithm to jointly build vehicle routes that visit several establishments and simultaneously set the establishments’ opening hours. This algorithm combines a large neighborhood search, the resolution of a route-based model, and the progressive shrinkage of the planning window. It is applied to a real case from the area of Lyon in France, including 34 schools and 575 heterogeneous users served by a heterogeneous fleet of reconfigurable vehicles. On average, we show that in addition to the 10% of saving that can be expected by sharing vehicle routes between schools, 7% of additional savings can be achieved by school bell adjustment. This cost saving also decreases average user ride times and the number of vehicles required, creating longer routes that are more attractive for driver services. Funding: This work was supported by the European Union through the European Regional Development Fund [Grant RA0012500] and by the French Région Auvergne-Rhône-Alpes through the NOMAd project. Supplemental Material: The online appendices are available at https://doi.org/10.1287/trsc.2022.1160 .
Published: 2023

2. Requirements engineering and enterprise architecture-based software discovery and reuse

Author: Abdelhadi Belfadel, Jannik Laval, Chantal Bonner Cherifi, Nejib Moalla, Université Lumière - Lyon 2 (UL2), Décision et Information pour les Systèmes de Production (DISP), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Université Lumière - Lyon 2 (UL2)
Subjects: Enterprise architecture, Software reuse, 0202 electrical engineering, electronic engineering, information engineering, Capability profile, Requirements engineering, 020206 networking & telecommunications, 020207 software engineering, 02 engineering and technology, [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering, Service reuse, Software
Abstract: International audience; Organizations’ business processes need to be adapted in response to changing internal and external environments, which are becoming increasingly complex. We target in this research work the exploitation of a software capability profile based on requirements engineering and enterprise architecture to respond to stakeholder requirements and efficiently reuse existing technical solutions. We propose in this work an exploitation methodology based on the alignment of enterprise architecture actions with a requirement engineering process. These latter evolve together helping to investigate the highest compatibility of the desired functionalities and their related constraints. Our contribution aims to produce a ready-to-use application based on the defined requirements and the selected software capability profiles for accelerating business application development. Implementation and a case study are proposed to demonstrate the effectiveness of this approach.
Published: 2022

3. Regional myocardial function at preclinical disease stage of hypertrophic cardiomyopathy in female gene variant carriers

Author: Tjeerd Germans, Celine Seegers, Albert C. van Rossum, Pierre Croisille, Patrick Clarysse, Jolanda van der Velden, Rahana Y. Parbhudayal, Cardiology, ACS - Heart failure & arrhythmias, Physiology, Modeling & analysis for medical imaging and Diagnosis (MYRIAD), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), and Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE)
Subjects: Male, Cardiac function curve, medicine.medical_specialty, TNNT2, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Diastole, Magnetic Resonance Imaging, Cine, 030204 cardiovascular system & hematology, Asymptomatic, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, MYBPC3, MYH7, 0302 clinical medicine, Predictive Value of Tests, Internal medicine, medicine, Humans, Radiology, Nuclear Medicine and imaging, Cardiac imaging, Original Paper, medicine.diagnostic_test, business.industry, Myocardium, Hypertrophic cardiomyopathy, Heart, Tissue tagging, Magnetic resonance imaging, Cardiomyopathy, Hypertrophic, medicine.disease, Cardiology, Female, medicine.symptom, Cardiology and Cardiovascular Medicine, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract: We recently showed more severe diastolic dysfunction at the time of myectomy in female compared to male patients with obstructive hypertrophic cardiomyopathy. Early recognition of aberrant cardiac contracility using cardiovascular magnetic resonance (CMR) imaging may identify women at risk of cardiac dysfunction. To define myocardial function at an early disease stage, we studied regional cardiac function using CMR imaging with tissue tagging in asymptomatic female gene variant carriers. CMR imaging with tissue tagging was done in 13 MYBPC3, 11 MYH7 and 6 TNNT2 gene carriers and 16 age-matched controls. Regional peak circumferential strain was derived from tissue tagging images of the basal and midventricular segments of the septum and lateral wall. Left ventricular wall thickness and global function were comparable between MYBPC3, MYH7, TNNT2 carriers and controls. MYH7 gene variant carriers showed a different strain pattern as compared to the other groups, with higher septal peak circumferential strain at the basal segments compared to the lateral wall, whereas MYBPC3, TNNT2 carriers and controls showed higher strain at the lateral wall compared to the septum. Only subtle gene-specific changes in strain pattern occur in the myocardium preceding development of cardiac hypertrophy. Overall, our study shows that there are no major contractile deficits in asymptomatic females carrying a pathogenic gene variant, which would justify the use of CMR imaging for earlier diagnosis.
Published: 2021

4. Real Time Intraoperative Functional Brain Mapping Based on RGB Imaging

Author: C. Caredda, Michaël Sdika, Jacques Guyotat, Raphaël Sablong, Bruno Montcel, Laurent Mahieu-Williame, RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Plateforme d'Imagerie Multimodale LyonTech (PILoT), Centre Hospitalier Lyon Sud [CHU - HCL] (CHLS), Hospices Civils de Lyon (HCL), and Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL)
Subjects: [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Computer science, [SDV]Life Sciences [q-bio], 0206 medical engineering, Biomedical Engineering, Biophysics, 02 engineering and technology, Human brain, 020601 biomedical engineering, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Functional brain, 0302 clinical medicine, Optical imaging, medicine.anatomical_structure, Robustness (computer science), Cortex (anatomy), medicine, White light, RGB color model, Neuroscience, ComputingMilieux_MISCELLANEOUS, Electrical brain stimulation
Abstract: Intraoperative optical imaging is a localization technique for the functional areas of the human brain cortex during neurosurgical procedures. However, it still lacks robustness to be used as a clinical standard. In particular new biomarkers of brain functionality with improved sensitivity and specificity are needed. We present a method for the real time identification of the activated cortical areas based on the analysis of the cortical hemodynamic using a RGB camera and a white light source. We measure the quantitative oxy and deoxy-hemoglobin concentration changes in the human brain cortex with the modified Beer-Lambert law and Monte Carlo simulations. A functional model has been implemented to define in real time a binary biomarker of the cortical activation following neuronal activation by physiological stimuli. The results show a good correlation between the computed activation maps and the brain areas localized by electrical brain stimulation. We demonstrate that a RGB camera combined with a quantitative modeling of brain hemodynamics biomarkers can evaluate in real time the functional areas during neurosurgery and serve as a tool of choice to complement electrical brain stimulation.
Published: 2021

5. The mineral weathering ability of Collimonas pratensis PMB3(1) involves a Malleobactin‐mediated iron acquisition system

Author: Tiphaine Dhalleine, Stéphane Uroz, Marie-Pierre Turpault, Emmanuelle Morin, Philippe Oger, Laura Picard, Cédric Paris, Interactions Arbres-Microorganismes (IAM), Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité de recherche Biogéochimie des Ecosystèmes Forestiers (BEF), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire d'Ingénierie des Biomolécules (LIBio), Université de Lorraine (UL), Plateau d’Analyse Structurale et Métabolomique (PASM), Microbiologie, adaptation et pathogénie (MAP), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Microbiology of Extreme Environments (M2E), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Ministère de l’Enseignement Supérieur, EC2CO program of the CNRS, ANR-11-LABX-0002,ARBRE,Recherches Avancées sur l'Arbre et les Ecosytèmes Forestiers(2011), Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, and Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées de Lyon (INSA Lyon)
Subjects: Siderophore, Iron, [SDE.MCG]Environmental Sciences/Global Changes, Microorganism, Mutant, Siderophores, Mutagenesis (molecular biology technique), Weathering, Biology, Microbiology, 03 medical and health sciences, Oxalobacteraceae, [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology, Chelation, Weather, Ecology, Evolution, Behavior and Systematics, 030304 developmental biology, Minerals, 0303 health sciences, Strain (chemistry), 030306 microbiology, Hematite, Biochemistry, visual_art, visual_art.visual_art_medium, [SDE.BE]Environmental Sciences/Biodiversity and Ecology
Abstract: International audience; Mineral weathering by microorganisms is considered to occur through a succession of mechanisms based on acidification and chelation. While the role of acidification is established, the role of siderophores is difficult to disentangle from the effect of the acidification. We took advantage of the ability of strain Collimonas pratensis PMB3(1) to weather minerals but not to acidify depending on the carbon source to address the role of siderophores in mineral weathering. We identified a single non-ribosomal peptide synthetase responsible for siderophore biosynthesis in the PMB3(1) genome. By combining iron-chelating assays, targeted mutagenesis and chemical analyses (HPLC and LC-ESI-HRMS), we identified the siderophore produced as malleobactin X and how its production depends on the concentration of available iron. Comparison with the genome sequences of other collimonads evidenced that malleobactin production seems to be a relatively conserved functional trait, though some collimonads harbored other siderophore synthesis systems. We also revealed by comparing the wild-type strain and its mutant impaired in the production of malleobactin that the ability to produce this siderophore is essential to allow the dissolution of hematite under non-acidifying conditions. This study represents the first characterization of the siderophore produced by collimonads and its role in mineral weathering.
Published: 2021

6. Characterization of a novel type III alcohol dehydrogenase from Thermococcus barophilus Ch5

Author: Philippe Oger, Yuting Li, Qing Liu, Leilei Wu, Likui Zhang, Donghao Jiang, Kunming Dong, Yangzhou University, Microbiologie, adaptation et pathogénie (MAP), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Microbiology of Extreme Environments (M2E), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Oger, Phil M., Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, and Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées de Lyon (INSA Lyon)
Subjects: Protein Denaturation, Hot Temperature, [SDV.BIO]Life Sciences [q-bio]/Biotechnology, Amino Acid Motifs, Alcohol, 02 engineering and technology, Biochemistry, Genes, Archaeal, Substrate Specificity, chemistry.chemical_compound, Structural Biology, Hyperthermophilic Archaea, Conserved Sequence, Phylogeny, Thermostability, chemistry.chemical_classification, 0303 health sciences, biology, Circular Dichroism, General Medicine, Hydrogen-Ion Concentration, 021001 nanoscience & nanotechnology, Aldehyde Oxidoreductases, Recombinant Proteins, Thermococcus, Thermococcus barophilus, 0210 nano-technology, Stereochemistry, Archaeal Proteins, Divalent, 03 medical and health sciences, Cations, Amino Acid Sequence, Molecular Biology, 030304 developmental biology, Alcohol dehydrogenase, Ethanol, Base Sequence, Sequence Homology, Amino Acid, Biochemical characteristics, Acetaldehyde, Substrate (chemistry), biology.organism_classification, [SDV.MP.BAC]Life Sciences [q-bio]/Microbiology and Parasitology/Bacteriology, [SDV.BIO] Life Sciences [q-bio]/Biotechnology, Kinetics, chemistry, Alcohols, Mutagenesis, Site-Directed, biology.protein, Thermococcales, [SDV.MP.BAC] Life Sciences [q-bio]/Microbiology and Parasitology/Bacteriology, Sequence Alignment
Abstract: International audience; The genome of the hyperthermophilic and piezophilic euryarchaeaon Thermococcus barophilus Ch5 encodes three putative alcohol dehydrogenases (Tba ADHs). Herein, we characterized Tba ADH547 biochemically and probed its mechanism by mutational studies. Our data demonstrate that Tba ADH547 can oxidize ethanol and reduce acetaldehyde at high temperature with the same optimal temperature (75 o C) and exhibit similar thermostablilty for oxidization and reduction reactions. However, Tba ADH547 has different optimal pH for oxidation and reduction: 8.5 for oxidation and 7.0 for reduction. Tba ADH547 is dependent on a divalent ion for its oxidation activity, among which Mn 2+ is optimal. However, Tba ADH547 displays about 20% reduction activity without a divalent ion, and the maximal activity with Fe 2+. Furthermore, Tba ADH547 showcases a strong substrate preference for 1-butanol and 1-hexanol over ethanol and other alcohols. Similarly, Tba ADH547 prefers butylaldehyde to acetaldehyde as its reduction substrate. Mutational studies showed that the mutations of residues D195, H199, H262 and H234 to Ala result in the significant activity loss of Tba ADH547, suggesting that residues D195, H199, H262 and H234 are responsible for catalysis. Overall, Tba ADH547 is a thermoactive ADH with novel biochemical characteristics, thereby allowing this enzyme to be a potential biocatalyst.
Published: 2021

7. Impact of flexible work contracts and multi-skilled agents on a multi-objective workforce planning problem

Author: Minh Phuoc Doan, Valérie Botta-Genoulaz, Julien Fondrevelle, José Francisco Ribeiro, Décision et Information pour les Systèmes de Production (DISP), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université Lumière - Lyon 2 (UL2), and University of São Paulo (USP)
Subjects: [SPI.OTHER]Engineering Sciences [physics]/Other, 0209 industrial biotechnology, 021103 operations research, Process management, Strategy and Management, 0211 other engineering and technologies, [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO], 02 engineering and technology, Management Science and Operations Research, CUSTO ECONÔMICO, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, Industrial and Manufacturing Engineering, Preference satisfaction, [INFO.INFO-PF]Computer Science [cs]/Performance [cs.PF], 020901 industrial engineering & automation, Work (electrical), 8. Economic growth, [SHS.GESTION]Humanities and Social Sciences/Business administration, Workforce planning, Business, ComputingMilieux_MISCELLANEOUS
Abstract: This article studies the impact of flexible work contracts and multi-skilled agents on a multi-objective workforce planning problem. Each agent has a work contract with a weekly and daily work capa...
Published: 2021

8. Progressive multifocal leukoencephalopathy: MRI findings in HIV-infected patients are closer to rituximab- than natalizumab-associated PML

Author: Caroline Papeix, Elisabeth Maillart, Morgane Solis, Caroline Houillier, Philippe Kerschen, Manel Alleg, Jerome Tamburini Bonnefoy, Xavier Roussel, Bertrand Bourre, Céline Kennel, Stéphane Kremer, Jean-Pierre Marolleau, Philippe Agape, Guido Ahle, Adrien Chauchet, François Cotton, Alexis Caulier, Xavier Leclerc, Patrick Vermersch, Cécile Chabrot, Béatrice Claise, Guillaume Martin-Blondel, Sandra Malak, Samira Fafi-Kremer, Seyyid Baloglu, Jérôme De Seze, Fabrice Bonneville, Jean-Pierre Pruvo, Les Hôpitaux Universitaires de Strasbourg (HUS), Laboratoire de Virologie [Strasbourg], Centre Hospitalier Lyon Sud [CHU - HCL] (CHLS), Hospices Civils de Lyon (HCL), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre Hospitalier de Luxembourg [Luxembourg] (CHL), CHU Rouen, Normandie Université (NU), Service de Neurologie [Hôpitaux Civils de Colmar], Hôpitaux Civils Colmar, Lille Neurosciences & Cognition - U 1172 (LilNCog), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Departement de Neuroradiologie [Lille], Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Sorbonne Université (SU), CHU Clermont-Ferrand, Institut Curie - Saint Cloud (ICSC), Service Maladies infectieuses et tropicales [CHU Toulouse], Pôle Inflammation, infection, immunologie et loco-moteur [CHU Toulouse] (Pôle I3LM Toulouse), Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Centre de Physiopathologie Toulouse Purpan (CPTP), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Service Neuroradiologie Diagnostique et Thérapeutique [CHU Toulouse], Pôle imagerie médicale [CHU Toulouse], Laboratoire d'Hématologie [CHU Amiens], CHU Amiens-Picardie, AP-HP - Hôpital Cochin Broca Hôtel Dieu [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Institut de Cancérologie de l'Ouest [Angers/Nantes] (UNICANCER/ICO), UNICANCER, CHU Limoges, Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon), Hôpital de Hautepierre [Strasbourg], Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Lille Neurosciences & Cognition - U 1172 (LilNCog (ex-JPARC)), Service de neurologie 1 [CHU Pitié-Salpétrière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), Service de neurologie 2 [CHU Pitié-Salpêtrière], Institut Curie [Saint-Cloud], Service des maladies infectieuses et tropicales [Toulouse], Hôpital Purpan [Toulouse], CHU Toulouse [Toulouse]-CHU Toulouse [Toulouse]-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Service de neuroradiologie [CHU Toulouse], CHU Toulouse [Toulouse], Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Réseau nanophotonique et optique, Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Matériaux et nanosciences d'Alsace (FMNGE), Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université de Strasbourg (UNISTRA), Service de Radiologie (Hôpitaux Universitaires de Strasbourg), Laboratoire de Virologie Médicale [Strasbourg], CHU Strasbourg, Université de Lyon, Centre Hospitalier Universitaire de Rouen, University of Rouen, Rouen, France, University of Lille, Univ. Lille, Inserm, CHU Lille, U1172 - Lille Neurosciences & Cognition, F-59000 Lille, France, Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Lille, Sorbonne Université-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université, Sorbonne Université-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), CHU de Clermont-Ferrand, université Clermont-Auvergne, Service des maladies infectieuses et tropicales[Toulouse], Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-CHU Toulouse [Toulouse]-Hôpital Purpan [Toulouse], Service d'Hématologie Clinique [CHU Amiens], Centre Hospitalier Universitaire de Besançon (CHU Besançon), Service of Neurologie - Centres Mémoire de Ressources et de Recherche (Hôpitaux Universitaires de Strasbourg ) (CMRR), Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Matériaux et nanosciences d'Alsace, Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Strasbourg (UNISTRA), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Service de Neurologie [CHU Pitié-Salpêtrière], IFR70-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), and Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)
Subjects: MESH: Leukoencephalopathy, Progressive Multifocal* / diagnostic imaging, medicine.medical_specialty, Pathology, medicine.medical_treatment, [SDV]Life Sciences [q-bio], viruses, MESH: Natalizumab / adverse effects, HIV Infections, 030218 nuclear medicine & medical imaging, MESH: Magnetic Resonance Imaging, Lesion, 03 medical and health sciences, 0302 clinical medicine, Natalizumab, [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases, Progressive multifocal leukoencephalopathy, medicine, MESH: HIV Infections* / complications, Humans, Radiology, Nuclear Medicine and imaging, Neuroradiology, Retrospective Studies, Chemotherapy, MESH: Humans, business.industry, Leukoencephalopathy, Progressive Multifocal, virus diseases, Brain, Immunosuppression, MESH: Retrospective Studies, General Medicine, MESH: HIV Infections* / drug therapy, medicine.disease, Magnetic Resonance Imaging, MESH: Rituximab / adverse effects, 3. Good health, 030220 oncology & carcinogenesis, MESH: Leukoencephalopathy, Progressive Multifocal* / chemically induced, Rituximab, MESH: Brain / diagnostic imaging, Radiology, medicine.symptom, Neuro, Complication, business, medicine.drug
Abstract: To compare brain MRI findings in progressive multifocal leukoencephalopathy (PML) associated to rituximab and natalizumab treatments and HIV infection. In this retrospective, multicentric study, we analyzed brain MRI exams from 72 patients diagnosed with definite PML: 32 after natalizumab treatment, 20 after rituximab treatment, and 20 HIV patients. We compared T2- or FLAIR-weighted images, diffusion-weighted images, T2*-weighted images, and contrast enhancement features, as well as lesion distribution, especially gray matter involvement. The three PML entities affect U-fibers associated with low signal intensities on T2*-weighted sequences. Natalizumab-associated PML showed a punctuate microcystic appearance in or in the vicinity of the main PML lesions, a potential involvement of the cortex, and contrast enhancement. HIV and rituximab-associated PML showed only mild contrast enhancement, punctuate appearance, and cortical involvement. The CD4/CD8 ratio showed a trend to be higher in the natalizumab group, possibly mirroring a more efficient immune response. Imaging features of rituximab-associated PML are different from those of natalizumab-associated PML and are closer to those observed in HIV-associated PML. • Nowadays, PML is emerging as a complication of new effective therapies based on monoclonal antibodies. • Natalizumab-associated PML shows more inflammatory signs, a perivascular distribution “the milky way,” and more cortex involvement than rituximab- and HIV-associated PML. • MRI differences are probably related to higher levels of immunosuppression in HIV patients and those under rituximab therapy.
Published: 2020

9. Applications of refrigerant R1234yf in heating, air conditioning and refrigeration systems: A decade of researches

Author: Luiz Machado, Juan M. Belman-Flores, Rémi Revellin, Juan Jose Garcia Pabon, Ali Khosravi, Centre d'Energétique et de Thermique de Lyon (CETHIL), Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, Federal University of Itajubá, Energy efficiency and systems, University of Guanajuato, Universidade Federal de Minas Gerais, Department of Mechanical Engineering, Aalto-yliopisto, and Aalto University
Subjects: 0211 other engineering and technologies, 02 engineering and technology, HFO, 7. Clean energy, low GWP refrigerant, Refrigerant, 020401 chemical engineering, 021108 energy, 0204 chemical engineering, ComputingMilieux_MISCELLANEOUS, HACR systems, Waste management, business.industry, [SPI.FLUID]Engineering Sciences [physics]/Reactive fluid environment, Mechanical Engineering, Refrigeration, Building and Construction, review paper, 6. Clean water, 13. Climate action, Air conditioning, Environmental science, Kyoto Protocol, business, Global-warming potential, R1234yf
Abstract: HFC refrigerants as R134a, R404A, R407C and R410A are commonly used in heating, air conditioning and refrigeration (HACR) systems since Kyoto protocol. However, they are phased-out due to their high global warming potential (GWP). There are various options to replace high GWP refrigerants, among all hydrofluorolefin (HFO) fluids, such as R1234yf, represents an excellent alternative. With GWP
Published: 2020

10. Une forme de référence mutuelle pour la fusion et l'évaluation des méthodes de segmentation

Author: Jehan-Besson, S., Clouard, R., Tilmant, C., de Cesare, A., Lalande, A., Lebenberg, J., Clarysse, P., Sarry, L., Frouin, F., Garreau, M., Laboratoire d'Imagerie Translationnelle en Oncologie (LITO ), Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Curie [Paris], Equipe Image - Laboratoire GREYC - UMR6072, Groupe de Recherche en Informatique, Image et Instrumentation de Caen (GREYC), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS), Institut Pascal (IP), Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA)-Institut national polytechnique Clermont Auvergne (INP Clermont Auvergne), Université Clermont Auvergne (UCA)-Université Clermont Auvergne (UCA), Laboratoire d'Imagerie Biomédicale [Paris] (LIB), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Equipe IFTIM [ImViA - EA7535], Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon)-Centre Régional de Lutte contre le cancer Georges-François Leclerc [Dijon] (UNICANCER/CRLCC-CGFL), UNICANCER-UNICANCER-Imagerie et Vision Artificielle [Dijon] (ImViA), Université de Bourgogne (UB)-Université de Bourgogne (UB), Service NEUROSPIN (NEUROSPIN), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Image Science for Interventional Techniques (ISIT), Université d'Auvergne - Clermont-Ferrand I (UdA)-Clermont Université-Centre National de la Recherche Scientifique (CNRS), Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Normandie Université (NU)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-SIGMA Clermont (SIGMA Clermont)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Imagerie Biomédicale (LIB), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université d'Auvergne - Clermont-Ferrand I (UdA)-Centre National de la Recherche Scientifique (CNRS)-Clermont Université, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Rennes 1 (UR1), and Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)
Subjects: active contours, variational approaches, segmentation evaluation, shape gradients, [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT], Computer Science::Computer Vision and Pattern Recognition, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], Mutual shape, segmentation, shape optimization, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, segmentation fusion
Abstract: This paper proposes the estimation of a mutual shape from a set of different segmentation results using both active contours and information theory. The mutual shape is here defined as a consensus shape estimated from a set of different segmentations of the same object. In an original manner, such a shape is defined as the minimum of a criterion that benefits from both the mutual information and the joint entropy of the input segmentations. This energy criterion is justified using similarities between information theory quantities and area measures, and presented in a continuous variational framework. In order to solve this shape optimization problem, shape derivatives are computed for each term of the criterion and interpreted as an evolution equation of an active contour. A mutual shape is then estimated together with the sensitivity and specificity of each segmentation. Some synthetic examples allow us to cast the light on the difference between the mutual shape and an average shape. The applicability of our framework has also been tested for segmentation evaluation and fusion of different types of real images (natural color images, old manuscripts, medical images).
Published: 2022

11. Characterization and application of a family B DNA polymerase from the hyperthermophilic and radioresistant euryarchaeon Thermococcus gammatolerans

Author: Mai Wu, Philippe Oger, Donghao Jiang, Qi Gan, Zhihui Yang, Likui Zhang, Haoqiang Shi, Yangzhou University, Agricultural University of Hebei, Microbiologie, adaptation et pathogénie (MAP), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Microbiology of Extreme Environments (M2E), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, and Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées de Lyon (INSA Lyon)
Subjects: Exonuclease, congenital, hereditary, and neonatal diseases and abnormalities, Chemical Phenomena, DNA polymerase, Archaeal Proteins, Gene Expression, DNA-Directed DNA Polymerase, 02 engineering and technology, DNA replication, Radiation Tolerance, Biochemistry, Substrate Specificity, law.invention, 03 medical and health sciences, chemistry.chemical_compound, Structural Biology, law, AP site, Cloning, Molecular, Molecular Biology, Magnesium ion, Polymerase, 030304 developmental biology, 0303 health sciences, biology, Temperature, [SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Molecular biology, General Medicine, 021001 nanoscience & nanotechnology, Archaea, Recombinant Proteins, Enzyme Activation, Thermococcus, chemistry, biology.protein, Recombinant DNA, Routine PCR, 0210 nano-technology, DNA, Protein Binding
Abstract: International audience; Thermococcus gammatolerans is anaerobic euryarchaeon which grows optimally at 88 °C and its genome encodes a family B DNA polymerase (Tga PolB). Herein, we cloned the gene of Tga PolB, expressed and purified the gene product, and characterized the enzyme biochemically. The recombinant Tga PolB can efficiently synthesize DNA at high temperature, and retain 93% activity after heated at 95 °C for 1.0 h, suggesting that the enzyme is thermostable. Furthermore, the optimal pH for the enzyme activity was measured to be 7.0–9.0. Tga PolB activity is dependent on a divalent cation, among which magnesium ion is optimal. NaCl at low concentration stimulates the enzyme activity but at high concentration inhibits enzyme activity. Interestingly, Tga PolB is able to efficiently bypass uracil in DNA, which is distinct from other archaeal family B DNA pols. By contrast, Tga PolB is halted by an AP site in DNA, as observed in other archaeal family B DNA polymerases. Furthermore, Tga PolB extends the mismatched ends with reduced efficiencies. The enzyme possesses 3′-5′ exonuclease activity and this activity is inhibited by dNTPs. The DNA binding assays showed that Tga PolB can efficiently bind to ssDNA and primed DNA, and have a marked preference for primed DNA. Last, Tga PolB can be used in routine PCR.
Published: 2020

12. ERRα Expression in Bone Metastases Leads to an Exacerbated Antitumor Immune Response

Author: Soumaya El-Moghrabi, Martine Duterque-Coquillaud, Alexandra Lainé, Philippe Clézardin, Sandra Geraci, Cyril Boyault, Casina W.S. Kan, Emmanuelle Meugnier, Lamia Bouazza, Julien C. Marie, Yuji Yoshiko, Hector Hernandez-Vargas, Edith Bonnelye, Mathilde Proponnet-Guerault, Claire Benetollo, Mathilde Bouchet, Inflammasome NLRP3 – NLRP3 Inflammasome, Centre International de Recherche en Infectiologie (CIRI), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche en Cancérologie de Lyon (UNICANCER/CRCL), Centre Léon Bérard [Lyon]-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institute for Advanced Biosciences / Institut pour l'Avancée des Biosciences (Grenoble) (IAB), Centre Hospitalier Universitaire [Grenoble] (CHU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Etablissement français du sang - Auvergne-Rhône-Alpes (EFS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Régulations métaboliques, nutrition et diabètes (RMND), Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM), Cardiovasculaire, métabolisme, diabétologie et nutrition (CarMeN), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Physiopathologie, diagnostic et traitements des maladies osseuses / Pathophysiology, Diagnosis & Treatments of Bone Diseases (LYOS), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de recherche en neurosciences de Lyon - Lyon Neuroscience Research Center (CRNL), Institut de biologie de Lille - UMS 3702 (IBL), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche en Cancérologie et Immunologie Nantes-Angers (CRCINA), Université d'Angers (UA)-Université de Nantes (UN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre hospitalier universitaire de Nantes (CHU Nantes), ANR-10-LABX-0061,DEVWECAN,Development Cancer and Targeted Therapies(2010), Institut de Génomique Fonctionnelle de Lyon (IGFL), École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Etablissement français du sang - Auvergne-Rhône-Alpes (EFS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Universitaire [Grenoble] (CHU)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Cancer Heterogeneity, Plasticity and Resistance to Therapies - UMR 9020 - U 1277 (CANTHER), Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Centre National de la Recherche Scientifique (CNRS), Centre International de Recherche en Infectiologie - UMR (CIRI), Institut National de la Santé et de la Recherche Médicale (INSERM)-École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hospices Civils de Lyon (HCL), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Claude Bernard Lyon 1 (UCBL), Centre de recherche en neurosciences de Lyon (CRNL), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN)-Centre hospitalier universitaire de Nantes (CHU Nantes)-Centre National de la Recherche Scientifique (CNRS)-Université d'Angers (UA), Inserm UMR1069, Nutrition, croissance et cancer (U 1069) (N2C), Université de Tours-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Tours-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Lille-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Centre National de la Recherche Scientifique (CNRS), Médecine cellulaire et moléculaire (MCM), Université de Lille, Sciences et Technologies-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre Léon Bérard [Lyon], Université de Lyon-Université de Lyon-Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Bonnelye, Edith, Development Cancer and Targeted Therapies - - DEVWECAN2010 - ANR-10-LABX-0061 - LABX - VALID, Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Cardiovasculaire, métabolisme, diabétologie et nutrition [CarMeN], Institut de biologie de Lille - UMS 3702 [IBL], Médecine cellulaire et moléculaire [MCM], Institut National de la Santé et de la Recherche Médicale [INSERM], Institut de Génomique Fonctionnelle de Lyon [IGFL], Institute for Advanced Biosciences / Institut pour l'Avancée des Biosciences (Grenoble) [IAB], Physiopathologie, diagnostic et traitements des maladies osseuses / Pathophysiology, Diagnosis & Treatments of Bone Diseases [LYOS], and Cancer Heterogeneity, Plasticity and Resistance to Therapies - UMR 9020 - U 1277 [CANTHER]
Subjects: 0301 basic medicine, Cancer Research, Chemokine, T-Lymphocytes, [SDV]Life Sciences [q-bio], Apoptosis, Mice, 0302 clinical medicine, Tumor Cells, Cultured, Tumor Microenvironment, Cytotoxic T cell, ComputingMilieux_MISCELLANEOUS, Mice, Inbred BALB C, biology, Prognosis, Primary tumor, 3. Good health, Gene Expression Regulation, Neoplastic, Receptors, Estrogen, Oncology, 030220 oncology & carcinogenesis, [SDV.IMM]Life Sciences [q-bio]/Immunology, Female, Signal Transduction, [SDV.IMM] Life Sciences [q-bio]/Immunology, Mice, Nude, Bone Neoplasms, Breast Neoplasms, [SDV.CAN]Life Sciences [q-bio]/Cancer, [SDV.BC]Life Sciences [q-bio]/Cellular Biology, 03 medical and health sciences, Transforming Growth Factor beta3, Breast cancer, Immune system, [SDV.CAN] Life Sciences [q-bio]/Cancer, Biomarkers, Tumor, medicine, Animals, Humans, [SDV.BC] Life Sciences [q-bio]/Cellular Biology, Cell Proliferation, Chemokine CCL20, business.industry, medicine.disease, Xenograft Model Antitumor Assays, CCL20, 030104 developmental biology, Transforming growth factor, beta 3, biology.protein, Cancer research, Chemokine CCL17, business, Transforming growth factor
Abstract: Bone is the most common metastatic site for breast cancer. Although the estrogen-related receptor alpha (ERRα) has been implicated in breast cancer cell dissemination to the bone from the primary tumor, its role after tumor cell anchorage in the bone microenvironment remains elusive. Here, we reveal that ERRα inhibits the progression of bone metastases of breast cancer cells by increasing the immune activity of the bone microenvironment. Overexpression of ERRα in breast cancer bone metastases induced expression of chemokines CCL17 and CCL20 and repressed production of TGFβ3. Subsequently, CD8+ T lymphocytes recruited to bone metastases escaped TGFβ signaling control and were endowed with exacerbated cytotoxic features, resulting in significant reduction in metastases. The clinical relevance of our findings in mice was confirmed in over 240 patients with breast cancer. Thus, this study reveals that ERRα regulates immune properties in the bone microenvironment that contributes to decreasing metastatic growth. Significance: This study places ERRα at the interplay between the immune response and bone metastases of breast cancer, highlighting a potential target for intervention in advanced disease.
Published: 2020

13. National dose reference levels in computed tomography–guided interventional procedures—a proposal

Author: Patrick Baur, Olivier Rouvière, Arthur David, Robert Kovacs, Marie Eresue-Bony, Alexandre Malakhia, Romaric Dal, Olivier Andreani, Audrey Fohlen, Eric de Kerviler, Marie Faruch, Mathilde Demonchy, Eric Decoux, Laurie Cabrol-Faivre, Julien Le Roy, Lambros Tselikas, Célian Michel, Lucie Cassagnes, Frederic Lafay, Anthony Dohan, Claire Boutet, Emeline Bigand, Aurélie Vuillod, Christophe Teriitehau, Lama Hadid-Beurrier, Romain Gillet, Thierry Arnaud, Djamel Dabli, Yves Barbotteau, Rabih Alwan, J. Frandon, Bernard Woerly, Nathalie Bestion, Emilie Alonso, Xavier Stefanovic, Valérie Bousson, Simon Henry, Pierre Yves Brillet, Boris Guiu, Cynthia Majorel-Gouthain, Franck Couzon, Alexis Jacquier, Joël Greffier, Mélody Potel, F. Pilleul, Thibaut Jacques, Loic Boussel, Didier Defez, Aymeric Rauch, Nicolas Sans, Eric Pessis, Aurélie Moussier-Lherm, Marc Andre, Jean Paul Beregi, Olivier Ernst, Frederic Douane, Laurent Hennequin, Thomas Hebert, Romain Gautier, Gilbert Ferretti, Sylvie Monfraix, Bouchra Habib-Geryes, Julia Rousseau, Sébastien Aubry, David Boutteau, Marc Haberlay, Florian Magnier, RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), and Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Subjects: Adult, Male, medicine.medical_specialty, Percutaneous, Adolescent, Biopsy, Computed tomography, Radiation Dosage, Radiography, Interventional, 030218 nuclear medicine & medical imaging, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Reference Values, Surveys and Questionnaires, medicine, Humans, Radiology, Nuclear Medicine and imaging, In patient, ComputingMilieux_MISCELLANEOUS, Aged, Retrospective Studies, Neuroradiology, Aged, 80 and over, Vertebroplasty, medicine.diagnostic_test, business.industry, Reproducibility of Results, Interventional radiology, General Medicine, Middle Aged, Spine, 3. Good health, Quartile, Fluoroscopy, 030220 oncology & carcinogenesis, Total dose, Female, France, Radiology, Tomography, X-Ray Computed, business, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract: To establish national reference levels (RLs) in interventional procedures under CT guidance as required by the 2013/59/Euratom European Directive. Seventeen categories of interventional procedures in thoracic, abdominopelvic, and osteoarticular specialties (percutaneous infiltration, vertebroplasty, biopsy, drainage, tumor destruction) were analyzed. Total dose length product (DLP), number of helical acquisitions (NH), and total DLP for helical, sequential, or fluoroscopic acquisitions were recorded for 10 to 20 patients per procedure at each center. RLs were calculated as the 3rd quartiles of the distributions and target values for optimization process (TVOs) as the median. RLs and TVOs were compared with previously published studies. Results on 5001 procedures from 49 centers confirmed the great variability in patient dose for the same category of procedures. RLs were proposed for the DLPs and NHs in the seventeen categories. RLs in terms of DLP and NH were 375 mGy.cm and 2 NH for spinal or peri-spinal infiltration, 1630 mGy.cm and 3 NH for vertebroplasty, 845 mGy.cm and 4 NH for biopsy, 1950 mGy.cm and 8 NH for destruction of tumors, and 1090 mGy.cm and 5 NH for drainage. DLP and NH increased with the complexity of procedures. This study was the first nationwide multicentric survey to propose RLs for interventional procedures under CT guidance. Heterogeneity of practice in centers were found with different levels of patient doses for the same procedure. The proposed RLs will allow imaging departments to benchmark their practice with others and optimize their protocols. • National reference levels are proposed for 17 categories of interventional procedures under CT guidance. • Reference levels are useful for benchmarking practices and optimizing protocols. • Reference levels are proposed for dose length product and the number of helical acquisitions.
Published: 2020

14. A stakeholder oriented approach to the optimization of transports of people with disabilities

Author: Samuel Vercraene, Fabien Lehuédé, Thibaud Monteiro, Olivier Péton, Geovanny Osorio Montoya, Laurent Daguet, Oscar Tellez, Décision et Information pour les Systèmes de Production (DISP), Université Lumière - Lyon 2 (UL2)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA), Département Automatique, Productique et Informatique (IMT Atlantique - DAPI), IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Systèmes Logistiques et de Production (SLP ), Laboratoire des Sciences du Numérique de Nantes (LS2N), Centre National de la Recherche Scientifique (CNRS)-École Centrale de Nantes (ECN)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Centrale de Nantes (ECN)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Ressourcial, NOMAd, Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université Lumière - Lyon 2 (UL2), Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA), and Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)
Subjects: passenger transport, Decision support system, Risk management plan, Process management, [SHS.INFO]Humanities and Social Sciences/Library and information sciences, 0211 other engineering and technologies, 02 engineering and technology, Management Science and Operations Research, Management of Technology and Innovation, 0502 economics and business, 11. Sustainability, Health care, Business and International Management, 050210 logistics & transportation, 021103 operations research, business.industry, 05 social sciences, Stakeholder, healthcare, [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO], transport sharing, Passenger transport, field study, business, optimization
Abstract: International audience; From 2010, the health transportation in France has become one of the top ten priorities of the risk management plan due to the increasing cost of these transports. For social and Medico-Social Institutions (MSI), this cost represents the second-biggest expense after that of the wages. In this context, the NOMAd project aims to improve the daily transportation service for people with disabilities between their home to MSI. To this end, we performed a field survey to identify the needs of the different stakeholders. This survey allows us to propose the transportation pooling among several MSIs on one side, and a global transport management process on the other side. This process makes possible to group and optimize routes on a given geographical area. The challenge is then to improve economic performance while maintaining social and environmental goals. A decision aiding tool for the transport optimization is proposed to tackle this problem.
Published: 2020

15. A Career in Catalysis: Odile Eisenstein

Author: David Balcells, Lionel Perrin, Feliu Maseras, Stuart MacGregor, Eric Clot, Department of Chemistry [Oslo], Faculty of Mathematics and Natural Sciences [Oslo], University of Oslo (UiO)-University of Oslo (UiO), Institut Charles Gerhardt Montpellier - Institut de Chimie Moléculaire et des Matériaux de Montpellier (ICGM ICMMM), Université Montpellier 2 - Sciences et Techniques (UM2)-Université Montpellier 1 (UM1)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM), Heriot-Watt University [Edinburgh] (HWU), Institute of Chemical Research of Catalonia (ICIQ), Interface Theory Experiment : Mechanism & Modeling (ITEMM), Institut de Chimie et Biochimie Moléculaires et Supramoléculaires (ICBMS), Centre National de la Recherche Scientifique (CNRS)-École Supérieure Chimie Physique Électronique de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-École Supérieure Chimie Physique Électronique de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon, Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut de Chimie du CNRS (INC)-École Supérieure Chimie Physique Électronique de Lyon-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut de Chimie du CNRS (INC)-École Supérieure Chimie Physique Électronique de Lyon-Centre National de la Recherche Scientifique (CNRS)
Subjects: Olefin metathesis, 010405 organic chemistry, Stereochemistry, Philosophy, catalytic oxidations 2, molecular orbitals, [CHIM.CATA]Chemical Sciences/Catalysis, General Chemistry, 010402 general chemistry, DFT, 01 natural sciences, Catalysis, 0104 chemical sciences, [CHIM.THEO]Chemical Sciences/Theoretical and/or physical chemistry, Associate editor, dihydrogen complexes, olefin metathesis, [CHIM]Chemical Sciences, Molecular orbital, [PHYS.PHYS.PHYS-CHEM-PH]Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph], Dihydrogen complex, s-bond metathesis, ComputingMilieux_MISCELLANEOUS
Abstract: International audience; On the occasion of Professor Odile Eisenstein's 70th birthday and her stepping down as Associate Editor of ACS Catalysis, we reflect on and highlight her distinguished career in computational chemistry and homogeneous catalysis. In this Account we present selected examples of her early work on the computational understanding of transition metal complexes, the evolution of the field towards the quantitative reproduction of these systems, with a final focus on her specific contributions to important catalytic processes including olefin metathesis, s-bond metathesis, and catalytic oxidations.
Published: 2019

16. Information Topological Characterization of Periodically Correlated Processes by Dilation Operators

Author: Mael Dugast, Guillaume Bouleux, Eric Marcon, Décision et Information pour les Systèmes de Production (DISP), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université Lumière - Lyon 2 (UL2), Université Lumière - Lyon 2 (UL2)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)
Subjects: Topological Data Analysis, Non-stationary Processes, Geometry, Signal Classification, 02 engineering and technology, Library and Information Sciences, Space (mathematics), Topology, Dilation (operator theory), 0202 electrical engineering, electronic engineering, information engineering, Betti numbers, Mathematics, Sequence, Persistent homology, Stochastic process, 020206 networking & telecommunications, Rotation matrix, Operator theory, persistent homology, Computer Science Applications, [MATH.MATH-DG]Mathematics [math]/Differential Geometry [math.DG], Dilation Theory, [MATH.MATH-AT]Mathematics [math]/Algebraic Topology [math.AT], [MATH.MATH-KT]Mathematics [math]/K-Theory and Homology [math.KT], Signal Analysis, Topological data analysis, Information Entropy, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [MATH.MATH-SP]Mathematics [math]/Spectral Theory [math.SP], Information Systems
Abstract: International audience; Giving process information through spectral considerations has been tackled for decades. We propose in this work a new way of dealing with such an objective by giving hidden information topology of the spectral measure of non-stationary and periodically correlated processes. We used first the Kolmogorov decomposition which is a natural extension of the Naimark operator theory to obtain a sequence of rotation matrices called the dilation matrices. These matrices carry all the spectral information of the process and belong to SO(n) or SU(n) with respect to respectively the real or complex nature of the periodically correlated processes studied. In order to give a topological interpretation of the positioning of these matrices on the space of rotation matrices, we have applied a persistent homology technique and next exposed fundamental attributes. We showed that different types of periodically correlated processes are endowed with a point cloud structure that can be easily discriminated by topological and information features.
Published: 2019

17. Modelling small-scale trigenerative advanced adiabatic compressed air energy storage for building application

Author: Rémi Revellin, Romuald Rullière, Ghady Dib, Philippe Haberschill, Centre d'Energétique et de Thermique de Lyon (CETHIL), Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon
Subjects: Compressed air energy storage, 020209 energy, Compressed air, Energy balance, 02 engineering and technology, 7. Clean energy, Turbine, Industrial and Manufacturing Engineering, Energy storage, Automotive engineering, [SPI]Engineering Sciences [physics], 0202 electrical engineering, electronic engineering, information engineering, 0601 history and archaeology, Electrical and Electronic Engineering, ComputingMilieux_MISCELLANEOUS, Civil and Structural Engineering, Wind power, 060102 archaeology, business.industry, Mechanical Engineering, 06 humanities and the arts, Building and Construction, Pollution, Electrical grid, General Energy, Environmental science, Grid energy storage, business
Abstract: The energy storage technology offers an energy balance by saving energy production for periods of higher customer demand. The present study concerns the development of a numerical model to simulate the trigeneration micro advanced adiabatic compressed air energy storage system (AA-CAES) coupled to building model and energy grids. Different design parameters are grouped and therefore an ideal prototype is proposed based on a global numerical sizing tool which in turn based on solving energy balance and heat transfer equations for each components (photovoltaic panels, wind turbines, compressor, turbine, reservoir). This study proposed two modes of operation depending on the electrical grid connection to the building (Autonomous and connected mode operation). From energy coverage point of view, it was noted that the connected mode operation scored more advantage points than the autonomous mode operation in most of the geographical scenarios. In best energetic case configuration the electrical coverage ratio scored 25.52%, the hot coverage ratio was equal to 20% and the cold coverage ratio scored 8% The trigeneration system efficiency was noticed to be a compromise between electrical coverage ratio, hot coverage ratio and cold coverage ratio.
Published: 2021

18. Brain virtual histology with X-ray phase-contrast tomography Part II: 3D morphologies of amyloid-β plaques in Alzheimer’s disease models

Author: Coralie Gislard, Marlène Wiart, David Meyronet, Ignacio Arganda-Carreras, Hugo Rositi, Matthieu Chourrout, David Legland, Nicolas Rama, Cécile Olivier, Françoise Peyrin, Margaux Roux, Hervé Boutin, Carlie Boisvert, Emmanuel Brun, Fabien Chauveau, Thierry Baron, Centre de recherche en neurosciences de Lyon (CRNL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), BioInformatique et BioStatistiques (BIBS), Centre International de Recherche en Infectiologie - UMR (CIRI), École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Universidad del Pais Vasco / Euskal Herriko Unibertsitatea [Espagne] (UPV/EHU), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), University of Manchester [Manchester], Centre de Recherche en Cancérologie de Lyon (UNICANCER/CRCL), Centre Léon Bérard [Lyon]-Université Claude Bernard Lyon 1 (UCBL), Agence nationale de sécurité sanitaire de l'alimentation, de l'environnement et du travail (ANSES), Hospices Civils de Lyon (HCL), Synchrotron Radiation for Biomedicine (STROBE), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Institut Pascal (IP), Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA)-Institut national polytechnique Clermont Auvergne (INP Clermont Auvergne), Université Clermont Auvergne (UCA)-Université Clermont Auvergne (UCA), Cardiovasculaire, métabolisme, diabétologie et nutrition (CarMeN), Université de Lyon-Université de Lyon-Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Chauveau, Fabien, Imagerie de l'inflammation cérébrale dans l'AVC ischémique : développement d'une sonde nanoparticulaire multimodale & méthodes d'imagerie cérébrale - - NanoBrain2015 - ANR-15-CE18-0026 - AAPG2015 - VALID, European Synchrotron Research Facility - ESRF - LS2292 - INCOMING, European Synchotron Research Facility - ESRF - MD1018 - INCOMING, European Synchrotron Research Facility - ESRF - IN1041 - INCOMING, ANR-11-LABX-0063 - INCOMING, ANR-11-IDEX-0007 - INCOMING, Centre de recherche en neurosciences de Lyon - Lyon Neuroscience Research Center (CRNL), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Unité de recherche sur les Biopolymères, Interactions Assemblages (BIA), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Imagerie Tomographique et Radiothérapie, Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre Léon Bérard [Lyon], Université de Lyon, Laboratoire de Lyon [ANSES], Université de Lyon-Agence nationale de sécurité sanitaire de l'alimentation, de l'environnement et du travail (ANSES), Synchrotron Radiation for Biomedicine = Rayonnement SynchroTROn pour la Recherche BiomédicalE (STROBE), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes (UGA), ANR-15-CE18-0026,NanoBrain,Imagerie de l'inflammation cérébrale dans l'AVC ischémique : développement d'une sonde nanoparticulaire multimodale & méthodes d'imagerie cérébrale(2015), European Project: LS2292,ESRF, European Project: MD1018,ESRF, European Project: IN1041,ESRF, European Project, Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Unité Maladies Neuro-Dégénératives (MND), and Université de Lyon-Agence nationale de sécurité sanitaire de l'alimentation, de l'environnement et du travail (ANSES)-Université de Lyon-Agence nationale de sécurité sanitaire de l'alimentation, de l'environnement et du travail (ANSES)
Subjects: Genetically modified mouse, Pathology, medicine.medical_specialty, Amyloid β, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, 3d analysis, PROPAGATION, 03 medical and health sciences, Myelin, 0302 clinical medicine, medicine, COMPUTED-TOMOGRAPHY, [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], FLUORESCENCE, IMAGE-ANALYSIS, A-BETA, IN-VIVO, TANGLES, 030304 developmental biology, 0303 health sciences, Phase contrast tomography, Chemistry, INDUCTION, Histology, MOUSE MODEL, 3. Good health, MICE, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, medicine.anatomical_structure, Immunohistochemistry, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Signal intensity, 030217 neurology & neurosurgery
Abstract: While numerous transgenic mouse strains have been produced to model the formation of amyloid-β (Aβ) plaques in the brain, efficient methods for whole-brain 3D analysis of Aβ deposits are lacking. Moreover, standard immunohistochemistry performed on brain slices precludes any shape analysis of Aβ plaques. The present study shows how in-line (propagation-based) X-ray phase-contrast tomography (XPCT) combined with ethanol-induced brain sample dehydration enables hippocampus-wide detection and morphometric analysis of Aβ plaques. Performed in three distinct Alzheimer mouse strains, the proposed workflow identified differences in signal intensity and 3D shape parameters: 3xTg displayed a different type of Aβ plaques, with a larger volume and area, greater elongation, flatness and mean breadth, and more intense average signal than J20 and APP/PS1. As a label-free non-destructive technique, XPCT can be combined with standard immunohistochemistry. XPCT virtual histology could thus become instrumental in quantifying the 3D spreading and the morphological impact of seeding when studying prion-like properties of Aβ aggregates in animal models of Alzheimer’s disease. This is Part II of a series of two articles reporting the value of in-line XPCT for virtual histology of the brain; Part I shows how in-line XPCT enables 3D myelin mapping in the whole rodent brain and in human autopsy brain tissue.HighlightsX-ray phase-contrast tomography (XPCT) enables whole brain detection of Aβ plaquesMorphometric parameters of Aβ plaques may be readily retrieved from XPCT dataNew shape parameters were successfully extracted from three Alzheimer’s disease modelsA Fiji-based “biologist-friendly” analysis workflow is proposed and sharedXPCT is a powerful virtual histology tool that requires minimal sample preparationGraphical abstract
Published: 2021

19. 3D denoised completion network for deep single-pixel reconstruction of hyperspectral images

Author: Nicolas Ducros, Françoise Peyrin, Juan F. P. J. Abascal, Valeriya Pronina, Dmitry V. Dylov, Antonio Lorente Mur, Skolkovo Institute of Science and Technology [Moscow] (Skoltech), Imagerie Tomographique et Radiothérapie, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), ANR-17-CE19-0003,Armoni,Acquisition Rapide d'images biomédicales par caméra MONo-pIxel(2017), Ducros, Nicolas, and Acquisition Rapide d'images biomédicales par caméra MONo-pIxel - - Armoni2017 - ANR-17-CE19-0003 - AAPG2017 - VALID
Subjects: [SPI.OPTI] Engineering Sciences [physics]/Optics / Photonic, Underdetermined system, Computer science, Multispectral image, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 02 engineering and technology, Iterative reconstruction, 01 natural sciences, Grayscale, Convolution, 010309 optics, Tikhonov regularization, Optics, 0103 physical sciences, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, ComputingMilieux_MISCELLANEOUS, business.industry, Hyperspectral imaging, Pattern recognition, Inverse problem, 021001 nanoscience & nanotechnology, Atomic and Molecular Physics, and Optics, [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], Computer Science::Computer Vision and Pattern Recognition, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic, Artificial intelligence, 0210 nano-technology, business
Abstract: Single-pixel imaging acquires an image by measuring its coefficients in a transform domain, thanks to a spatial light modulator. However, as measurements are sequential, only a few coefficients can be measured in the real-time applications. Therefore, single-pixel reconstruction is usually an underdetermined inverse problem that requires regularization to obtain an appropriate solution. Combined with a spectral detector, the concept of single-pixel imaging allows for hyperspectral imaging. While each channel can be reconstructed independently, we propose to exploit the spectral redundancy between channels to regularize the reconstruction problem. In particular, we introduce a denoised completion network that includes 3D convolution filters. Contrary to black-box approaches, our network combines the classical Tikhonov theory with the deep learning methodology, leading to an explainable network. Considering both simulated and experimental data, we demonstrate that the proposed approach yields hyperspectral images with higher quantitative metrics than the approaches developed for grayscale images.
Published: 2021

20. Apprentissage statistique des interactions entre forme et déformation cardiaques

Author: Di Folco, Maxime, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Modeling & analysis for medical imaging and Diagnosis (MYRIAD), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon - INSA Lyon, Patrick Clarysse(patrick.clarysse@creatis.insa-lyon.fr), and Nicolas Duchateau
Subjects: Manifold learning, Apprentissage de variétés, Myocardial deformation, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Imagerie cardiaque, Forme cardiaque, Déformation myocardique, Cardiac imaging, Dimensionality reduction, Shape analysis, Réduction de dimensions
Abstract: In clinical routine, medical imaging allows to extract descriptors or scalars characterizing the cardiac function and to establish a diagnosis. In heart failure, cardiac remodeling often occurs and several aspects of morphology and function are affected during this phenomenon, which can include shape and deformation abnormalities. In addition, interactions between these two aspects have been demonstrated structurally or related to certain cardiac pathologies. These interactions are difficult to analyze by simple scalar indices that generally describe a global behavior. Medical imaging is able to provide high-dimensional representations of these descriptors, i.e., regional/local information at several instants of the cardiac cycle. However, they are not exploited in clinical routine because of the lack of time, the lack of consensus, and the difficulty of their analysis. In this manuscript, we explore approaches to further characterize the partially-known link between cardiac shape and deformation via high-dimensional representations of both aspects. Computational anatomy or manifold learning methods allow to exploit these individual high-dimensional representations and generalize the analysis to a population. However, these methods generally consider only one aspect of cardiac function at a time, whereas several of them can interact. Methods incorporating multiple descriptors usually do not explicitly consider the possible link between them.This work has three main contributions. First, we propose a strategy to characterize the interactions between cardiac shape and deformation assessed by high-dimensional descriptors and demonstrate its relevance for several right ventricular pathologies. This strategy is based on a non-linear learning method (Multiple Manifold Alignment) and is used here to characterize a partially-known link, whereas it has been applied so far to descriptors belonging to the same manifold, and for which the link naturally exists. Secondly, we evaluated the benefit of taking into account the link between descriptors by studying the differences with an approach that considers each descriptor individually and other approaches that consider several descriptors jointly. Finally, the study of the influence of shape/deformation descriptors and normalization strategies on our approach has highlighted a possible bias introduced by the choices made and shown that the appropriate choice depends on the targeted application.This thesis shows the relevance of using manifold alignment to consider the partially-known link between shape and cardiac deformation by illustrating it in the comparative study of several right ventricular diseases. These analyses open the door to the exploitation of these coherent latent spaces for more applicative challenges such as risk quantification.; En routine clinique, les méthodes d'imagerie permettent d'extraire des descripteurs ou indices caractérisant la fonction cardiaque et d'établir un diagnostic. Dans le cas de l'insuffisance cardiaque, un remodelage cardiaque se produit très souvent. Plusieurs aspects de la morphologie et de la fonction sont affectés lors de ce phénomène, notamment des anomalies de forme et de déformation peuvent apparaître. De plus, des interactions entre ces deux aspects ont été mises en évidence structurellement ou reliées à certaines pathologies cardiaques. Ces interactions peuvent être difficilement analysées par de simples indices scalaires qui décrivent généralement un comportement global. L'imagerie médicale est en mesure de fournir des représentations de hautes dimensions de ces descripteurs, c'est-à-dire une information régionale/locale et à plusieurs instants du cycle cardiaque ; elles sont cependant non exploitées en routine clinique par manque de temps, de consensus et de la difficulté de leur analyse. Dans ce manuscrit, nous explorons des approches de caractérisation plus fine du lien partiellement connu entre la forme et la déformation cardiaques via des représentations hautes dimensions de ces deux aspects. Des méthodes d'anatomie computationnelle ou d'apprentissage de variétés permettent d'exploiter ces représentations hautes dimensions individuelles et de généraliser l'analyse à une population. Néanmoins, ces méthodes ne considèrent généralement qu'un aspect de la fonction cardiaque à la fois alors que plusieurs interagissent. Les méthodes intégrant plusieurs descripteurs ne prennent habituellement pas explicitement en compte le lien possible entre eux.Ce travail comporte trois principales contributions. Premièrement, nous proposons une stratégie pour caractériser les interactions entre la forme et la déformation cardiaques évaluées par des descripteurs hautes dimensions et démontrons sa pertinence pour plusieurs pathologies du ventricule droit. Cette stratégie est basée sur une méthode d'apprentissage non-linéaire (alignement de variétés multiples) et utilisée ici pour caractériser un lien partiellement connu alors qu'elle a été jusqu'à présent appliquée à des descripteurs évoluant dans la même variété, et pour lesquels le lien existe naturellement. Deuxièmement, nous avons évalué le bénéfice de prendre en compte le lien entre les descripteurs en étudiant les différences avec une approche qui considère chaque descripteur individuellement et d'autres approches prenant en compte plusieurs descripteurs. Pour finir, l'étude de l'influence des descripteurs de forme/déformation et de stratégies de normalisation sur notre approche a mis en valeur un possible biais introduit par les choix faits et montré que le choix approprié dépend de l'application visée.Cette thèse montre la pertinence d'utiliser l'alignement de variétés pour considérer le lien partiellement connu entre forme et déformation cardiaques en l'illustrant dans l'étude comparée de plusieurs pathologies du ventricule droit. Ces analyses ouvrent la porte à l'exploitation de ces espaces cohérents pour des challenges plus applicatifs comme la quantification de risques.
Published: 2021

21. Dosimetric comparison between planning SPECT and monitoring PET for 90Y-radioembolisation

Author: Labour, Joey, Baudier, Thomas, Martino, Sandrine Parisse-Di, Khayi, F, Sarrut, David, Badel, J, Imagerie Tomographique et Radiothérapie, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), and Centre Léon Bérard [Lyon]
Subjects: [PHYS.PHYS.PHYS-MED-PH]Physics [physics]/Physics [physics]/Medical Physics [physics.med-ph]
Abstract: International audience; Aim/Introduction:This study analysed different workflows to compare dosimetry computed from SPECT99m Tc-MAA images and PET treatment monitoring images following 90Y-radioembolisation.Materials and Methods:A cohort of 20 patients iscurrently being studied. For each patient, 99m-Tc-MAA SPECT/CT images were acquired, reconstructed with attenuation- and diffusion-corrections, and calibrated in MBq.mL-1. Treatment monitoring was performed with a digital PET/CT using reconstruction parameters [1] optimised with dose-volume histograms (DVHs). The whole liver (WL) and total tumour (T total) were contoured on the CT acquired during the workup session and propagated to the SPECT images. The perfused liver volume (PLV) was defined using a 5% threshold on the SPECT. Contours were propagated to PET images with four registration methods, rigid global, deformable global, rigid local and rigid local,functional. The two firsts consider CT (SPECT) to CT (PET) rigid/deformable (BSpline) transformations. The third uses a rigid transformation between the two CTs, centred on the live ronly. The last one considers rigid local registration between SPECT and PET images with a rigid local transformation centred on the liver. Absorbed dose distributions were calculated using Voxel S-values convolution. The predictive and treatment follow-up DVHs were compared using the mean absorbed dose (D mean) and absorbed dose at 2% volume (D 2%).Results:For the first patients, D mean were within 5.4% and 6.4% and D2% were within 2.0% and 2.1% for the WL and PLV whatever the registration method, respectively. However, for Ttotal, the range was larger. For example, for patient #3, the SPECT-predicted Dmean was125.4 Gy while it was 39.07, 43.6, 30.7 and 168.3 Gy from the PET images for all methods, respectively. In that case, only locally rigid registration between functional images (SPECT and PET) instead of CT images provided comparable DVHs. This might be due to inaccurate location of the lesions due to respiratory motion and internal organ movements between work up and treatment sessions. Even if liver CT contours were well registered, the activity measured from SPECT and PET, integrated over a longer acquisition duration than CT (12.5 min/bed for SPECT, 10 min/bed for PET) mismatchemismatched.Conclusion:rigid local,functional method is recommended in addition to other CT registration methods to propagate contours from SPECT/CT to PET/CT. The analysis on the entire cohort will be presented at the conference.References:[1] Labour, J. et al. "Yttrium-90Quantitative Phantom Study Using Digital Photon Counting PET." EJNMMI Physics, in revision, (2021).
Published: 2021

22. Patient-specific dosimetric workflow with a reduced number of time-points for 177Lu treatments

Author: Vergnaud, Laure, Giraudet, A., Moreau, A., Baudier, Thomas, Badel, J.N., Sarrut, David, Imagerie Tomographique et Radiothérapie, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Léon Bérard [Lyon], and Rayet, Béatrice
Subjects: [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, [PHYS.PHYS.PHYS-MED-PH] Physics [physics]/Physics [physics]/Medical Physics [physics.med-ph], [SDV.CAN] Life Sciences [q-bio]/Cancer, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [PHYS.PHYS.PHYS-MED-PH]Physics [physics]/Physics [physics]/Medical Physics [physics.med-ph], [SDV.CAN]Life Sciences [q-bio]/Cancer
Abstract: International audience; Aim/Introduction: Patients with unresectable neuroendocrine tumors can be treated by internal radiation therapy administrating 7.4 GBq of Lu177-labeled somatostatin analog. Image-based absorbed dose estimation to organs requires several time-points acquisitions but their number is limited by clinical and logistical constraints. The goal of this work was to propose an adaptive dosimetric workflow for estimating absorbed doses from a reduced number of acquisitionacquisitionMaterials and Methods: Thirteen patients with neuroendocrine tumors received four injections of 7.4 GBq of 177Lu-DOTATATE except one patient because of haematological toxicity. Three SPECT/CT acquisitions were performed after the first cycle at 1h, 24h and 96h or 144h and a single acquisition after three latter cycles at 24h for estimating absorbed doses by kidneys, liver and intrahepatic tumors, spleen and bone marrow. Monte Carlo simulations were used to estimate dose rates for each acquisition to take into account self- and cross- doses. These dose rates were then integrated at the organ level (ODR). Time dose rate curves (TDC) were fitted with a tri-exponential function to respect the patients' physiology. For cycles with less than three acquisitions, three methods were proposed and evaluated. If the acquisition at 24h of cycle 1 was missing, the ODR was approximated by the next first ODR at 24h scaled according to the injected activities at each cycle. When only one acquisition was available, two cases were distinguished. Absorbed doses were estimated from the TDC of a previous cycle for the samepatient scaled to the ODR available. Otherwise, TDC of other patients were scaled to the ODR and their integrals were averaged to obtain absorbed doses as proposed by Jackson and al. (1) with time activity curvesResults: Estimated errors when the ODR at 24h was replaced was inferior to 15.9% except for one patient. With only one acquisition, the lowest error was obtained for acquisitions at 96h or 144h with two methods: less than 11% for liver and spleen and less than 20% for kidneys. Thesemethods are being tested for bone marrow dose estimation. Absorbed doses estimated with this workflow were: 2⼟.50.9 Gy (left kidney), 2.7⼟1.2 Gy (right kidney), 2.8⼟1.7 Gy (liver) and 3.4⼟1.6 Gy (spleen) all cycles taken together. Conclusion: The proposed workflow allows the estimation of organ doses from a reduced number of acquisitions for patients treated with 177Lu. References: (1) Jackson and al. JNM 2020
Published: 2021

23. Comparison of intraoperative functional brain map obtained with RGB imaging with preoperative functional brain map obtained with functional magnetic Resonance imaging

Author: Josset, Anne, Caredda, C., Van Reeth, Eric, Mahieu-Williame, L., Sablong, Raphaël, Sdika, Michaël, Schneider, Fabien C., Guyotat, Jacques, Montcel, Bruno, RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Plateforme d'Imagerie Multimodale LyonTech (PILoT), Modeling & analysis for medical imaging and Diagnosis (MYRIAD), Centre Hospitalier Universitaire de Saint-Etienne (CHU de Saint-Etienne), Hospices Civils de Lyon (HCL), Caredda, Charly, Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), and Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Subjects: [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2021

24. Biomechanical and functional comparison of moulded and 3D printed medical silicones

Author: Christophe, Marquette, Zühlke, Alexandra, Gasik, Michael, Vrana, Nihal Engin, Muller, Celine Blandine, Barthes, Julien, Bilotsky, Yevgen, Courtial, Edwin, Marquette, Christophe, Institut de Chimie et Biochimie Moléculaires et Supramoléculaires (ICBMS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut de Chimie du CNRS (INC)-École Supérieure Chimie Physique Électronique de Lyon-Centre National de la Recherche Scientifique (CNRS), Protip medical, Laboratoire Interdisciplinaire Carnot de Bourgogne [Dijon] (LICB), Université de Bourgogne (UB)-Université de Technologie de Belfort-Montbeliard (UTBM)-Centre National de la Recherche Scientifique (CNRS), Department of Chemical and Metallurgical Engineering, Materials Processing and Powder Metallurgy, Spartha Medical SAS, Institut National de la Sante et de la Recherche Medicale (Inserm), Seqvera, 3dFAB, Aalto-yliopisto, Aalto University, Centre National de la Recherche Scientifique (CNRS)-École Supérieure Chimie Physique Électronique de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon
Subjects: Materials science, [SDV.BIO]Life Sciences [q-bio]/Biotechnology, Biocompatibility, Biomedical Engineering, Silicones, 3D printing, Mechanical properties, 02 engineering and technology, Biomaterials, Medical grade silicone, 03 medical and health sciences, Mechanobiology, chemistry.chemical_compound, 0302 clinical medicine, Silicone, In vitro, In vivo, Surface roughness, Implants, [SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Biochemistry [q-bio.BM], [SDV.IB.BIO]Life Sciences [q-bio]/Bioengineering/Biomaterials, Microscale chemistry, ComputingMilieux_MISCELLANEOUS, business.industry, TRACHEA, MECHANOTRANSDUCTION, POLYMER, 030206 dentistry, Prostheses and Implants, 021001 nanoscience & nanotechnology, MECHANOBIOLOGY, chemistry, Mechanics of Materials, TISSUE, Printing, Three-Dimensional, Implant, IMPLANTATION, 0210 nano-technology, business, Biomedical engineering
Abstract: openaire: EC/H2020/760921/EU//PANBioRA This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 760921 (“PANBioRA”; A.Z., M.G., N.E.V., J.B.) and from the “FUI-FASSIL” project (J.B., C.B.M., N.E.V.) Modern 3D printing of implantable devices provides an important opportunity for the development of personalized implants with good anatomical fit. Nevertheless, 3D printing of silicone has been challenging and the recent advances in technology are provided by the systems which can print medical grade silicone via extrusion. However, the potential impacts of the 3D printing process of silicone on its biomechanical properties has not been studied in sufficient detail. Therefore, the present study compares 3D printed and moulded silicone structures for their cytotoxicity, surface roughness, biomechanical properties, and in vivo tissue reaction. The 3D printing process creates increased nanoscale roughness and noticeably changes microscale topography. Neither the presence of these features nor the differences in processes were found to result in an increase in cytotoxicity or tissue reaction for 3D printed structures, exhibiting limited inflammatory reaction and cell viability above the threshold values. On the contrary, the biomechanical properties have demonstrated significant differences in static and dynamic conditions, and in thermal expansion. Our results demonstrate that 3D printing can be used for establishing a better biomechanical microenvironment for the surrounding tissue of the implant particularly for fragile soft tissue like epithelial mucosa without having any negative effect on the cytotoxicity or in vivo reaction to silicone. For engineering of the implants, however, one must consider the differences in mechanical properties to result in correct and personalized geometry and proper physical interaction with tissues.
Published: 2021

25. MSSEG-2 challenge proceedings: Multiple sclerosis new lesions segmentation challenge using a data management and processing infrastructure

Author: Commowick, Olivier, Cervenansky, Frédéric, Cotton, François, Dojat, Michel, Neuroimagerie: méthodes et applications (Empenn), Institut National de la Santé et de la Recherche Médicale (INSERM)-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE (IRISA-D5), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre Hospitalier Lyon Sud [CHU - HCL] (CHLS), Hospices Civils de Lyon (HCL), [GIN] Grenoble Institut des Neurosciences (GIN), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes (UGA), ANR-11-INBS-0006,FLI,France Life Imaging(2011), ANR-10-COHO-0002,OFSEP,Observatoire Français de la Sclérose en Plaques(2010), Empenn, Université de Bretagne Sud (UBS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-CentraleSupélec-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Bretagne Sud (UBS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Commowick, Olivier, Infrastructures - France Life Imaging - - FLI2011 - ANR-11-INBS-0006 - INBS - VALID, Cohortes - Observatoire Français de la Sclérose en Plaques - - OFSEP2010 - ANR-10-COHO-0002 - COHO - VALID, and Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL)
Subjects: [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging
Abstract: International audience; This proceedings book gathers methodological papers describing the segmenta-tion methods evaluated at the second MICCAI Challenge on Multiple Sclerosisnew lesions segmentation challenge using a data management and processinginfrastructure. This challenge took place as part of an effort of the OFSEP1(French registry on multiple sclerosis aiming at gathering, for research purposes,imaging data, clinical data and biological samples from the French populationof multiple sclerosis subjects) and FLI2(France Life Imaging, devoted to setupa national distributed e-infrastructure to manage and process medical imagingdata). These joint efforts are directed towards automatic segmentation of MRIscans of MS patients to help clinicians in their daily practice. This challengetook place at the MICCAI 2021 conference, on September 23rd 2021.More precisely, the problem addressed in this challenge is as follows. Con-ventional MRI is widely used for disease diagnosis, patient follow-up, monitoringof therapies, and more generally for the understanding of the natural history ofMS. A growing literature is interested in the delineation of new MS lesions onT2/FLAIR by comparing one time point to another. This marker is even morecrucial than the total number and volume of lesions as the accumulation of newlesions allows clinicians to know if a given anti-inflammatory DMD (disease mod-ifying drug) works for the patient. The only indicator of drug efficacy is indeedthe absence of new T2 lesions within the central nervous system. Performingthis new lesions count by hand is however a very complex and time consumingtask. Automating the detection of these new lesions would therefore be a majoradvance for evaluating the patient disease activity.Based on the success of the first MSSEG challenge, we have organized aMICCAI sponsored online challenge, this time on new MS lesions detection3.This challenge has allowed to 1) estimate the progress performed during the2016 - 2021 period, 2) extend the number of patients, and 3) focus on the newlesions crucial clinical marker. We have performed the evaluation task on a largedatabase (100 patients, each with two time points) compiled from the OFSEPcohort with 3D FLAIR images from different centers and scanners. As in ourprevious challenge, we have conducted the evaluation on a dedicated platform(FLI-IAM) to automate the evaluation and remove the potential biases due tochallengers seeing the images on which the evaluation is made.
Published: 2021

26. Semi-supervised annotation of Transcranial Doppler ultrasound micro-embolic data

Author: Philippe Delachartre, Yamil Vindas, Marilys Almar, Blaise Kevin Guepie, Emmanuel Roux, Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Modélisation et Sûreté des Systèmes (LM2S), Laboratoire Informatique et Société Numérique (LIST3N), and Université de Technologie de Troyes (UTT)-Université de Technologie de Troyes (UTT)
Subjects: Computer science, business.industry, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Pattern recognition, Semi-supervised learning, Time saving, Transcranial Doppler, Projection (relational algebra), Annotation, Data information, ComputingMethodologies_PATTERNRECOGNITION, Manual annotation, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Spectrogram, Artificial intelligence, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS
Abstract: Transcranial Doppler (TCD) is a non-invasive ultrasound monitoring technique allowing real time measurements of the blood flow velocity mainly in the Middle Cerebral Artery. It is commonly used to monitor patients with stroke risk by detecting micro-emboli. This technique generates a considerable amount of data whose annotation is expensive and time-consuming. We propose a semi-supervised learning method to annotate a dataset of micro-embolic data with reduced requirements of manual annotation. First, we start by extracting features from TCD spectrograms in an unsupervised manner using an Auto-encoder. Then, we project those features in a 2D space using the t-SNE algorithm. Afterwards, the dataset is partially annotated by an expert based on the 2D projection and the overall data information. Finally, the labels of the annotated samples are propagated to a part of the unlabeled samples using a K-nearest-neighbors (KNN) strategy. We evaluate our annotation method through the annotation error and the percentage of labeled samples with respect to the unlabeled samples. Our results show that we are able to annotate all the unlabeled samples with an annotation error of 12 % in less than 1 second against around 2 hours for a human expert. This represents a time saving of a factor of 105, showing the interest of our method.
Published: 2021

27. Oral nomegestrol acetate and transdermal 17-beta-estradiol for preventing post-partum relapses in multiple sclerosis: The POPARTMUS study

Author: Martine El-Etr, Jérôme De Seze, Patrick Hautecoeur, Françoise Durand-Dubief, Jean Pelletier, Etienne-Emile Baulieu, Francesco Patti, David-Axel Laplaud, L. Gignoux, Maria Trojano, Emmanuelle Le Page, Sandra Vukusic, Pierre Clavelou, Luca Durelli, Iuliana Ionescu, David Brassat, Eric Berger, Catherine Cornu, Laurent Remontet, Nadine Bossard, Giovanni Castelnovo, Marc Debouverie, François Cotton, Olivier Heinzlef, Romain Marignier, Thibault Moreau, Christine Lebrun-Frenay, Centre de recherche en neurosciences de Lyon - Lyon Neuroscience Research Center (CRNL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Hôpital neurologique et neurochirurgical Pierre Wertheimer [CHU - HCL], Hospices Civils de Lyon (HCL), Observatoire Français de la Sclérose En Plaques [Lyon] (OFSEP), Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), Service Hospitalo-Universitaire de Pharmacologie et Toxicologie - Lyon (SHUPT Lyon), Service de Biostatistiques [Lyon], Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Département de Neuroradiologie [Centre Hospitalier Lyon Sud - HCL], Centre Hospitalier Lyon Sud [CHU - HCL] (CHLS), Hospices Civils de Lyon (HCL)-Hospices Civils de Lyon (HCL), Università degli studi di Torino = University of Turin (UNITO), Centre hospitalier universitaire de Nantes (CHU Nantes), Centre de Recherche en Transplantation et Immunologie (U1064 Inserm - CRTI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN), Service de Neurologie générale, vasculaire et dégénérative (CHU de Dijon), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Neuro-Dol (Neuro-Dol), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), CHU Strasbourg, Maladies chroniques, santé perçue, et processus d'adaptation (APEMAC), Université de Lorraine (UL), Centre de Physiopathologie Toulouse Purpan (CPTP), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Pôle Neurosciences [CHU Toulouse], Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Assistance Publique - Hôpitaux de Marseille (APHM), Unité de Recherche Clinique de la Côte d’Azur (URRIS UR2CA), Centre Hospitalier Universitaire de Nice (CHU Nice)-Université Côte d'Azur (UCA), Centre d'Investigation Clinique [Rennes] (CIC), Université de Rennes (UR)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Pontchaillou [Rennes], Service de Neurologie [CHU Nimes] (Pôle NIRR), Hôpital Universitaire Carémeau [Nîmes] (CHU Nîmes), Centre Hospitalier Universitaire de Nîmes (CHU Nîmes)-Centre Hospitalier Universitaire de Nîmes (CHU Nîmes), Service de Neurologie [CHRU Besançon], Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon), Département de neurologie [Lille], Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), CHI Poissy-Saint-Germain, Università degli studi di Bari Aldo Moro = University of Bari Aldo Moro (UNIBA), University of Catania [Italy], Petites Molécules de neuroprotection, neurorégénération et remyélinisation, Université Paris-Sud - Paris 11 (UP11)-Institut National de la Santé et de la Recherche Médicale (INSERM), Association Européenne contre les Leucodystrophies, Myelin Project, Fondation pour l'Aide à la Recherche sur la Sclérose en Plaques, Programme Hospitalier de Recherche Clinique 2005, Ministère des Affaires Sociales et de la Santé, Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Centre de recherche en neurosciences de Lyon (CRNL), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Università degli studi di Torino (UNITO), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Pôle neurosciences [Hôpital de Purpan - Toulouse], CHU Toulouse [Toulouse], Unité de Recherche Clinique de la Côte d’Azur [Nice] (URRIS UR2CA), Université Côte d'Azur (UCA), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), Département de neurologie[Lille], Université de Lille, Droit et Santé-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Università degli studi di Bari Aldo Moro (UNIBA), and Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL)
Subjects: Nomegestrol acetate, medicine.medical_specialty, relapses, Norpregnadienes, [SDV]Life Sciences [q-bio], Relapse rate, progesterone, Gastroenterology, sex hormones, Multiple sclerosis, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Pregnancy, Recurrence, Internal medicine, estradiol, Medicine, Humans, Post partum, Transdermal, business.industry, Postpartum Period, post-partum, Megestrol, medicine.disease, 17 beta estradiol, 3. Good health, Neurology, chemistry, Female, Neurology (clinical), business, 030217 neurology & neurosurgery, 030215 immunology
Abstract: Background: Sex steroids could explain the course of multiple sclerosis (MS) in pregnancy. Objective: To compare the annualized relapse rate (ARR) 12 weeks post-partum in women treated with nomegestrol acetate (NOMAc) and 17-beta-estradiol (E2) versus placebo. Methods: POPARTMUS is a randomized, proof-of-concept trial in women with MS, receiving oral NOMAc 10 mg/day and transdermal estradiol 75 µg/week, or placebo. Results: Recruitment was stopped prematurely due to slow inclusions ( n = 202). No treatment effect was observed on ARR after 12 weeks (sex steroids = 0.90 (0.58–1.39), placebo = 0.97 (0.63–1.50) ( p = 0.79)). Conclusion: POPARTMUS failed showing efficacy of a NOMAc–E2 combination in preventing post-partum relapses.
Published: 2021

28. Electromagnetic Simulation of Signal Distribution of Various RF Endoluminal Loop Geometries with Coil Orientation: Towards a Reconfigurable Design

Author: Olivier Beuf, Kevin Tse Ve Koon, Fraser Robb, Henri Souchay, Hamza Raki, RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), General Electric Medical Systems [Buc] (GE Healthcare), General Electric Medical Systems, General Electric Healthcare, Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), and Tse Ve Koon, Kevin
Subjects: Physics, Article Subject, Radiological and Ultrasound Technology, Orientation (computer vision), [SPI.ELEC] Engineering Sciences [physics]/Electromagnetism, Acoustics, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, Radius, Decoupling (cosmology), Signal, [SPI.TRON] Engineering Sciences [physics]/Electronics, Standard deviation, 030218 nuclear medicine & medical imaging, [SPI.TRON]Engineering Sciences [physics]/Electronics, 03 medical and health sciences, [SPI.ELEC]Engineering Sciences [physics]/Electromagnetism, 0302 clinical medicine, Sampling (signal processing), Region of interest, Electromagnetic coil, 030220 oncology & carcinogenesis, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Radiology, Nuclear Medicine and imaging, Physical and Theoretical Chemistry, Spectroscopy
Abstract: With the objective of improving MR endoluminal imaging of the colonic wall, electromagnetic simulations of different configurations of single-layer and double-layer, and double-turn endoluminal coil geometries were run. Indeed, during colon navigation, variations in coil orientation with respect to B0 are bound to occur, leading to impaired image acquisition due to a loss of signal uniformity. In this work, three typical coil orientations encountered during navigation were chosen and the resulting signal uniformity of the different geometries was investigated through the simulatedB1x,y/IRtvalues. Sampling this quantity over a circle of radius r enabled us to calculate the coefficient of variation (= standard deviation/mean) for this given distance. This procedure was repeated forr∈5;15 mm, which represents the region of interest in the colon. Our results show that single-loop and double-layer geometries could provide complementary solutions for improved signal uniformity. Finally, using four microelectromechanical system switches, we proposed the design of a reconfigurable endoluminal coil able to switch between those two geometries while also ensuring the active decoupling of the endoluminal coil during the RF transmission of an MR experiment.
Published: 2021

29. Region-of-Interest CT Reconstruction using One-Endpoint Hilbert Inversion in Optimized Directions

Author: Coussat, Aurélien, Rit, Simon, Defrise, Michel, Létang, Jean Michel, Létang, Jean, Imagerie Tomographique et Radiothérapie, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), and Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL)
Subjects: Computer Science::Computer Vision and Pattern Recognition, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging
Abstract: International audience; In computed tomography, scanning the entire object is sometimes impossible, causing truncated projection data. Reconstruction is however still possible: using differentiated backprojection, the Hilbert transform of the object can be calculated and inverted along line segments in the field-of-view. When two endpoints of the line segment are outside the object extent, a stable analytic reconstruction formula exists. When only one endpoint is outside the object extent, every pixel can be reconstructed, but no inversion formula is known yet. Uniqueness of the inverse Hilbert transform is nevertheless guaranteed along such segments, and a numerical inverse can be used. Most pixels of the field-of-view accept more than one "one-endpoint line segment" and one can choose the direction; we propose here to select the optimal direction based on an empirical criterion. Image quality improvement is assessed against a reconstruction that uses a single direction for every pixel.
Published: 2021

30. MODULATION ELECTRO-OPTIQUE POUR LA TRANSMISSION DU SIGNAL EN IRM PRECLINIQUE A 7T

Author: Nobre, Paul, Gaborit, Gwenaël, Sablong, Raphaël, Courjal, Nadège, Behague, Florent, Coste, Antoine, Godet, Adrien, Suarez, Miguel, Duvillaret, Lionel, Beuf, Olivier, RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de Microélectronique, Electromagnétisme et Photonique - Laboratoire d'Hyperfréquences et Caractérisation (IMEP-LAHC), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Kapteos SAS, Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) (FEMTO-ST), Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Franche-Comté (UFC), and Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre National de la Recherche Scientifique (CNRS)
Subjects: [SPI.ELEC]Engineering Sciences [physics]/Electromagnetism, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, capteur, [SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic, modulateur, Radiofréquence, IRM
Abstract: International audience; L'objectif de ces travaux est d'utiliser le principe de la conversion électro-optique pour remplacer des câbles coaxiaux en IRM. Cette étude présente une comparaison d'images obtenues par transmission optique ou galvanique du signal, puis les caractéristiques du modulateur utilisé ainsi que celles d'un modulateur sans tension de biais qui permettrait le développement d'un capteur passif à liaison optique avec modulateur embarqué.
Published: 2021

31. Multiplane deconvolution in underwater acoustics: Simultaneous estimations of source level and position

Author: Barbara Nicolas, Maxime Polichetti, Valentin Baron, Jerome Mars, GIPSA - Signal Images Physique (GIPSA-SIGMAPHY), GIPSA Pôle Sciences des Données (GIPSA-PSD), Grenoble Images Parole Signal Automatique (GIPSA-lab), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Grenoble Alpes (UGA), MicrodB, Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), ANR-10-LABX-0060,CeLyA,Lyon Acoustics Centre(2010), ANR-16-IDEX-0005,IDEXLYON,IDEXLYON(2016), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Nicolas, Barbara, Lyon Acoustics Centre - - CeLyA2010 - ANR-10-LABX-0060 - LABX - VALID, and IDEXLYON - - IDEXLYON2016 - ANR-16-IDEX-0005 - IDEX - VALID
Subjects: Pulmonary and Respiratory Medicine, Beamforming, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, Computer science, Plane (geometry), Acoustics, Signal Processing, Computer-Assisted, Source level, 01 natural sciences, 010305 fluids & plasmas, Noise, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Position (vector), 0103 physical sciences, Pediatrics, Perinatology and Child Health, Computer Simulation, 14. Life underwater, Deconvolution, Underwater, Underwater acoustics, 010301 acoustics, ComputingMilieux_MISCELLANEOUS
Abstract: International audience; In many acoustic imaging applications, conventional beamforming (CBF) cannot provide both accurate position and source level estimates simultaneously. Also, the CBF acoustic maps suffer from many artifacts due to the spreading of large point-spread-functions. An original CLEAN deconvolution procedure, including an additional plane containing out-of-plane interfering sources, is proposed here to achieve simultaneous localization, source level estimation, and de-noising. The approach is illustrated using experimental data mimicking a challenging deep-sea mining configuration: an underwater acoustic source of interest is located 700 m below the sea surface, tens of meters from a 3 m-length array, with boat noise as the disturbing source.
Published: 2021

32. Evaluation de l'impact dosimétrique des mouvements intrafraction de la prostate durant le traitement de radiothérapie en fonction des marges CTV-PTV utilisées

Author: Di Franco, F, Baudier, T, Gassa, F, Pommier, P, Sarrut, D, Biston, M, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Léon Bérard [Lyon], di Franco, Francesca, Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Subjects: [PHYS.PHYS.PHYS-MED-PH] Physics [physics]/Physics [physics]/Medical Physics [physics.med-ph], [PHYS.PHYS.PHYS-MED-PH]Physics [physics]/Physics [physics]/Medical Physics [physics.med-ph], ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2021

33. The time-consistent dial-a-ride problem

Author: Olivier Péton, Thibaud Monteiro, Samuel Vercraene, Fabien Lehuédé, Oscar Tellez, Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA), Décision et Information pour les Systèmes de Production (DISP), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université Lumière - Lyon 2 (UL2), Département Automatique, Productique et Informatique (IMT Atlantique - DAPI), IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Systèmes Logistiques et de Production (SLP ), Laboratoire des Sciences du Numérique de Nantes (LS2N), Université de Nantes - Faculté des Sciences et des Techniques, Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Nantes - Faculté des Sciences et des Techniques, European Regional Development Fund, RA0012500, Université Lumière - Lyon 2 (UL2)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS), Institut National des Sciences Appliquées (INSA)-Université de Lyon, Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), IMT Atlantique (IMT Atlantique), Modélisation, Optimisation et DEcision pour la Logistique, l'Industrie et les Services (LS2N - équipe MODELIS), Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-École Centrale de Nantes (Nantes Univ - ECN), Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes université - UFR des Sciences et des Techniques (Nantes univ - UFR ST), Nantes Université - pôle Sciences et technologie, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes Université - pôle Sciences et technologie, Nantes Université (Nantes Univ)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), and Nantes Université (Nantes Univ)
Subjects: Operations research, Computer Networks and Communications, Computer science, 0211 other engineering and technologies, Healthcare logistics, Context (language use), Time horizon, 02 engineering and technology, Set partitioning, Multi-objective optimization, 0502 economics and business, Vehicle routing problem, Dial-a-ride problem, Service (business), 050210 logistics & transportation, Transportation planning, Service quality, 021103 operations research, Quality of service, 05 social sciences, [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO], Vehicle routing, Large neighborhood search, Hardware and Architecture, Consistency, Software, Information Systems
Abstract: International audience; In the context of door-to-door transportation of people with disabilities, service quality considerations such as maximum ride time and service time-consistency are critical requirements. To identify a good trade-off between these considerations and economic objectives, we define a new variant of the multi-period dial-a-ride problem called the time-consistent dial-a-ride problem. A transportation planning is supposed to be time-consistent if for each passenger, the same service time is used all along the planning horizon. However, considering the numerous variations in transportation demands over a week, designing consistent plan for all users can be too expensive. It is therefore necessary to find a compromise solution between costs and time-consistency objectives. The time-consistent dial-a-ride problem is solved using an epsilon-constraint approach to illustrate the trade-off between these two objectives. It computes an approximation of the Pareto front, using a matheuristic framework that combines a large neighbourhood search with the solution of set partitioning problems. This approach is benchmarked on time-consistent vehicle routing problem literature instances. Experiments are also conducted in the context of door-to-door transportation for people with disabilities, using real data. These experiments support managerial insights regarding the inter-relatedness of costs and quality of service.
Published: 2021

34. Phase change dispersions: A literature review on their thermo-rheological performance for cooling applications

Author: Poppy O’Neill, Ludger Fischer, Rémi Revellin, Jocelyn Bonjour, Centre d'Energétique et de Thermique de Lyon (CETHIL), Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon
Subjects: Work (thermodynamics), Materials science, 020209 energy, Energy Engineering and Power Technology, 02 engineering and technology, Mechanics, Thermal energy storage, Phase-change material, Industrial and Manufacturing Engineering, [SPI]Engineering Sciences [physics], 020401 chemical engineering, Rheology, Latent heat, Heat transfer, Heat exchanger, 0202 electrical engineering, electronic engineering, information engineering, 0204 chemical engineering, Dispersion (chemistry), ComputingMilieux_MISCELLANEOUS
Abstract: Phase change dispersions are two-phase fluids that consist of a phase change material dispersed in a continuous phase and stabilised with the aid of surfactants. Due to the high thermal storage capacity, on accounts of the latent heat of phase change of the dispersed phase change material, phase change dispersions present as prospective heat transfer fluids in cooling applications. However, to implement phase change dispersions into cooling systems, for the design of heat exchanger and pipe geometries, detailed fundamental knowledge of the heat transfer and rheological behaviour needs to be understood. Alongside this, limitations encountered such as stability and supercooling need to be addressed. Within this work, a detailed review of the types of dispersion found in literature, their thermophysical, heat transfer and rheological properties are discussed. Current and past methods of improving formulations and overcoming the aforementioned problems are presented. Furthermore, potential figures of merit to evaluate the efficiency of phase change dispersion utilisation are presented and discussed. An outlook to the existing research gap is given.
Published: 2021

35. DNA sequence-directed cooperation between nucleoid-associated proteins

Author: Wayne Yang, Cees Dekker, Georgi Muskhelishvili, Aleksandre Japaridze, William Nasser, Microbiologie, adaptation et pathogénie (MAP), Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, Chromatine et Régulation de la Pathogénie bactérienne (CRP), and Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées de Lyon (INSA Lyon)
Subjects: 0301 basic medicine, Science, [SDV]Life Sciences [q-bio], 02 engineering and technology, Plasma protein binding, DNA-binding protein, Organizational Aspects of Cell Biology, Article, DNA sequencing, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Structural Biology, Nucleoid, Binding site, ComputingMilieux_MISCELLANEOUS, 030304 developmental biology, 0303 health sciences, Multidisciplinary, Circular bacterial chromosome, 030302 biochemistry & molecular biology, 021001 nanoscience & nanotechnology, Cell biology, Nucleoprotein, Crosstalk (biology), 030104 developmental biology, chemistry, Structural biology, 0210 nano-technology, 030217 neurology & neurosurgery, DNA
Abstract: Summary Nucleoid-associated proteins (NAPs) are a class of highly abundant DNA-binding proteins in bacteria and archaea. While both the composition and relative abundance of the NAPs change during the bacterial growth cycle, surprisingly little is known about their crosstalk in mutually binding and stabilizing higher-order nucleoprotein complexes in the bacterial chromosome. Here, we use atomic force microscopy and solid-state nanopores to investigate long-range nucleoprotein structures formed by the binding of two major NAPs, FIS and H-NS, to DNA molecules with distinct binding site arrangements. We find that spatial organization of the protein binding sites can govern the higher-order architecture of the nucleoprotein complexes. Based on sequence arrangement the complexes differed in their global shape and compaction as well as the extent of FIS and H-NS binding. Our observations highlight the important role the DNA sequence plays in driving structural differentiation within the bacterial chromosome., Graphical abstract, Highlights • The location of protein binding sites along DNA is important for 3D organization • FIS protein forms DNA loops while H-NS forms compact DNA plectonemes • FIS DNA loops inhibit H-NS from spreading over the DNA • FIS and H-NS competition creates regions of ‘open’ and ‘closed’ DNA, Organizational Aspects of Cell Biology;Structural Biology
Published: 2021

36. Non-Polar Lipids as Regulators of Membrane Properties in Archaeal Lipid Bilayer Mimics

Author: Nicholas J. Brooks, Marta Salvador-Castell, Judith Peters, Roland Winter, Philippe Oger, Microbiologie, adaptation et pathogénie (MAP), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Microbiology of Extreme Environments (M2E), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Imperial College London, Technische Universität Dortmund [Dortmund] (TU), Laboratoire Interdisciplinaire de Physique [Saint Martin d’Hères] (LIPhy ), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Engineering & Physical Science Research Council (EPSRC), Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, and Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées de Lyon (INSA Lyon)
Subjects: 0301 basic medicine, Hydrostatic pressure, Lipid Bilayers, 02 engineering and technology, Cell membrane, chemistry.chemical_compound, Squalane, Membrane fluidity, polyisoprenoids, Biology (General), Lipid bilayer, Spectroscopy, ComputingMilieux_MISCELLANEOUS, Liposome, Temperature, General Medicine, 021001 nanoscience & nanotechnology, Computer Science Applications, [SDV.BBM.BP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Biophysics, Chemistry, Membrane, medicine.anatomical_structure, lipids (amino acids, peptides, and proteins), fluorescence, 0210 nano-technology, Laurdan, Squalene, QH301-705.5, Membrane Fluidity, 0699 Other Biological Sciences, Catalysis, Article, Inorganic Chemistry, 03 medical and health sciences, 0399 Other Chemical Sciences, medicine, squalane, archaea, cell membrane, permeability, Physical and Theoretical Chemistry, Molecular Biology, QD1-999, 0604 Genetics, Chemical Physics, Organic Chemistry, Cell Membrane, Archaea, 030104 developmental biology, chemistry, Liposomes, Biophysics
Abstract: The modification of archaeal lipid bilayer properties by the insertion of apolar molecules in the lipid bilayer midplane has been proposed to support cell membrane adaptation to extreme environmental conditions of temperature and hydrostatic pressure. In this work, we characterize the insertion effects of the apolar polyisoprenoid squalane on the permeability and fluidity of archaeal model membrane bilayers, composed of lipid analogues. We have monitored large molecule and proton permeability and Laurdan generalized polarization from lipid vesicles as a function of temperature and hydrostatic pressure. Even at low concentration, squalane (1 mol%) is able to enhance solute permeation by increasing membrane fluidity, but at the same time, to decrease proton permeability of the lipid bilayer. The squalane physicochemical impact on membrane properties are congruent with a possible role of apolar intercalants on the adaptation of Archaea to extreme conditions. In addition, such intercalant might be used to cheaply create or modify chemically resistant liposomes (archeaosomes) for drug delivery.
Published: 2021

37. Characterisation of a synthetic Archeal membrane reveals a possible new adaptation route to extreme conditions

Author: Salvador-Castell, Marta, Golub, Maksym, Erwin, Nelli, Demé, Bruno, Brooks, Nicholas J., Winter, Roland, Peters, Judith, Oger, Philippe M., Engineering & Physical Science Research Council (EPSRC), Microbiologie, adaptation et pathogénie (MAP), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Microbiology of Extreme Environments (M2E), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Institut Laue-Langevin (ILL), Technische Universität Dortmund [Dortmund] (TU), Imperial College London, Laboratoire Interdisciplinaire de Physique [Saint Martin d’Hères] (LIPhy ), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Maison Asie-Pacifique (MAP), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), ANR-17-CE11-0012,ArchaeoMembranes,Des bicouches lipidiques stables au delà du point d'ébullition de l'eau(2017), Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), ILL, and Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)
Subjects: Models, Molecular, Squalene, Hot Temperature, QH301-705.5, Membrane Fluidity, [SDV]Life Sciences [q-bio], Acclimatization, Lipid Bilayers, Article, Permeability, Membrane biophysics, Extremophiles, Membrane Lipids, X-Ray Diffraction, Scattering, Small Angle, Pressure, Biology (General), ComputingMilieux_MISCELLANEOUS, Molecular Structure, Terpenes, technology, industry, and agriculture, Archaea, [SDV.BBM.BP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Biophysics, Neutron Diffraction, Spectrometry, Fluorescence, lipids (amino acids, peptides, and proteins), [PHYS.COND.CM-SCM]Physics [physics]/Condensed Matter [cond-mat]/Soft Condensed Matter [cond-mat.soft], Extreme Environments
Abstract: It has been proposed that adaptation to high temperature involved the synthesis of monolayer-forming ether phospholipids. Recently, a novel membrane architecture was proposed to explain the membrane stability in polyextremophiles unable to synthesize such lipids, in which apolar polyisoprenoids populate the bilayer midplane and modify its physico-chemistry, extending its stability domain. Here, we have studied the effect of the apolar polyisoprenoid squalane on a model membrane analogue using neutron diffraction, SAXS and fluorescence spectroscopy. We show that squalane resides inside the bilayer midplane, extends its stability domain, reduces its permeability to protons but increases that of water, and induces a negative curvature in the membrane, allowing the transition to novel non-lamellar phases. This membrane architecture can be transposed to early membranes and could help explain their emergence and temperature tolerance if life originated near hydrothermal vents. Transposed to the archaeal bilayer, this membrane architecture could explain the tolerance to high temperature in hyperthermophiles which grow at temperatures over 100 °C while having a membrane bilayer. The induction of a negative curvature to the membrane could also facilitate crucial cell functions that require high bending membranes., By studying the properties of a synthetic membrane mimicking an archaeal membrane and containing the apolar polyisoprenoid squalane, Salvador-Castell et al. show that lipid bilayer stability and functionality are shifted to higher temperatures under high pressure. These findings support the view that apolar lipids may constitute an adaptative route to high-temperature tolerance in archaeal hyperthermophiles.
Published: 2021

38. DEEP EXPECTATION-MAXIMIZATION FOR IMAGE RECONSTRUCTION FROMUNDER-SAMPLED POISSON DATA

Author: Nicolas Ducros, Françoise Peyrin, Paul Bataille, Antonio Lorente Mur, Imagerie Tomographique et Radiothérapie, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Lorente Mur, Antonio, Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), and Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Subjects: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], model-based optimization meth- ods, Computer science, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, convolutional neural network, Iterative reconstruction, Poisson distribution, 01 natural sciences, 030218 nuclear medicine & medical imaging, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], 010309 optics, 03 medical and health sciences, symbols.namesake, 0302 clinical medicine, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], Hadamard transform, 0103 physical sciences, Expectation–maximization algorithm, Maximum a posteriori estimation, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Poisson noise, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, Index Terms-Image reconstruction, Noise measurement, single-pixel imaging, Shot noise, deep learning, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], computational optics, expectation-maximization, Computer Science::Computer Vision and Pattern Recognition, Image reconstruction, symbols, Focus (optics), Algorithm, undersam- pled data, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract: International audience; We consider the reconstruction of an image from a sequence of a few linear measurements corrupted by Poisson noise. This generic problem has many biomedical applications, such as computerized tomography, positron emission tomogra-phy, and optical microscopy. Here, we focus on a computational optics problem where the setup acquires some coefficients of the Hadamard transform of the image of the scene. We formalize this problem in a Bayesian setting where we estimate the missing Hadamard coefficients from those acquired. Then, we propose a deep-learning network that consists of two fully connected layers (FCLs) that map data from the measurement domain to the image domain, followed by convolutional layers that act in the image domain. On the one hand, we set the FCLs so that they compute the best linear solution of the problem. While the first FCL denoises the raw measurements, the second FCL completes the missing measurements from the denoised measurements. The convolutional layers undergo learning through a training phase. We also describe a framework for training the network in the presence of Poisson noise. In particular, our approach includes an estimation of the image intensity, together with a normalization scheme that allows varying noise levels to be handled during training. We compare our network to linear reconstructors and to network variants that do not address the noise issue at all, or that address it implicitly. Finally, we present results from simulated and experimental acquisitions, considering varying noise levels. Our network yields higher reconstruction peak signal-to-noise ratios in scenarios where the actual noise level is higher than that expected and used during the training phase.
Published: 2021

39. Direct Comparison of Bayesian and Fermi Deconvolution Approaches for Myocardial Blood Flow Quantification: In silico and Clinical Validations

Author: Daviller, Clément, Boutelier, Timothé, Giri, Shivraman, Ratiney, Hélène, Jolly, Marie-Pierre, Vallée, Jean-Paul, Croisille, P., Viallon, Magalie, RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Olea Medical [La Ciotat], Siemens Medical Solution, Siemens Corporate Research [Princeton], Siemens Corporation - Corporate Technology, Geneva University Hospitals and Geneva University, Centre Hospitalier Universitaire de Saint-Etienne (CHU de Saint-Etienne), and ANR-11-LABX-0063,PRIMES,Physique, Radiobiologie, Imagerie Médicale et Simulation(2011)
Subjects: ischemic lesion, cardiovascular microcirculation, cardiovascular magnetic resonance, myocardial perfusion quantification, perfusion-weighted imaging, Physiology, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, heart disease, myocardial blood flow, Bayesian, Original Research
Abstract: International audience; Cardiac magnetic resonance myocardial perfusion imaging can detect coronary artery disease and is an alternative to single-photon emission computed tomography or positron emission tomography. However, the complex, non-linear MR signal and the lack of robust quantification of myocardial blood flow have hindered its widespread clinical application thus far. Recently, a new Bayesian approach was developed for brain imaging and evaluation of perfusion indexes ( Kudo et al., 2014 ). In addition to providing accurate perfusion measurements, this probabilistic approach appears more robust than previous approaches, particularly due to its insensitivity to bolus arrival delays. We assessed the performance of this approach against a well-known and commonly deployed model-independent method based on the Fermi function for cardiac magnetic resonance myocardial perfusion imaging. The methods were first evaluated for accuracy and precision using a digital phantom to test them against the ground truth; next, they were applied in a group of coronary artery disease patients. The Bayesian method can be considered an appropriate model-independent method with which to estimate myocardial blood flow and delays. The digital phantom comprised a set of synthetic time-concentration curve combinations generated with a 2-compartment exchange model and a realistic combination of perfusion indexes, arterial input dynamics, noise and delays collected from the clinical dataset. The myocardial blood flow values estimated with the two methods showed an excellent correlation coefficient ( r 2 > 0.9) under all noise and delay conditions. The Bayesian approach showed excellent robustness to bolus arrival delays, with a similar performance to Fermi modeling when delays were considered. Delays were better estimated with the Bayesian approach than with Fermi modeling. An in vivo analysis of coronary artery disease patients revealed that the Bayesian approach had an excellent ability to distinguish between abnormal and normal myocardium. The Bayesian approach was able to discriminate not only flows but also delays with increased sensitivity by offering a clearly enlarged range of distribution for the physiologic parameters.
Published: 2021

40. Biochemical characterization and mutational studies of the 8-oxoguanine DNA glycosylase from the hyperthermophilic and radioresistant archaeon Thermococcus gammatolerans

Author: Zhihui Yang, Yuting Li, Haoqiang Shi, Likui Zhang, Jianting Zheng, Dai Zhang, Philippe Oger, Yangzhou University, Peking University [Beijing], Agricultural University of Hebei, Microbiologie, adaptation et pathogénie (MAP), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Adaptation aux milieux extrêmes (AME), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, and Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées de Lyon (INSA Lyon)
Subjects: Guanine, DNA Mutational Analysis, Mutant, Enzyme Activators, Cleavage (embryo), Applied Microbiology and Biotechnology, DNA Glycosylases, 03 medical and health sciences, chemistry.chemical_compound, Enzyme Stability, Enzyme Inhibitors, ComputingMilieux_MISCELLANEOUS, 030304 developmental biology, chemistry.chemical_classification, 0303 health sciences, biology, 030306 microbiology, Chemistry, Temperature, Thermococcus gammatolerans, [SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Molecular biology, General Medicine, Base excision repair, Hydrogen-Ion Concentration, biology.organism_classification, Thermococcus, Enzyme, Biochemistry, DNA glycosylase, Mutant Proteins, DNA, Biotechnology
Abstract: 8-oxoguanine (GO) is a major lesion found in DNA that arises from guanine oxidation. The hyperthermophilic and radioresistant euryarchaeon Thermococcus gammatolerans encodes an archaeal GO DNA glycosylase (Tg-AGOG). Here, we characterized biochemically Tg-AGOG and probed its GO removal mechanism by mutational studies. Tg-AGOG can remove GO from DNA at high temperature through a β-elimination reaction. The enzyme displays an optimal temperature, ca.85–95 °C, and an optimal pH, ca.7.0–8.5. In addition, Tg-AGOG activity is independent on a divalent metal ion. However, both Co2+ and Cu2+ inhibit its activity. The enzyme activity is also inhibited by NaCl. Furthermore, Tg-AGOG specifically cleaves GO-containing dsDNA in the order: GO:C, GO:T, GO:A, and GO:G. Moreover, the temperature dependence of cleavage rates of the enzyme was determined, and from this, the activation energy for GO removal from DNA was first estimated to be 16.9 ± 0.9 kcal/mol. In comparison with the wild-type Tg-AGOG, the R197A mutant has a reduced cleavage activity for GO-containing DNA, whereas both the P193A and F167A mutants exhibit similar cleavage activities for GO-containing DNA. While the mutations of P193 and F167 to Ala lead to increased binding, the mutation of R197 to Ala had no significant effect on binding. These observations suggest that residue R197 is involved in catalysis, and residues P193 and F167 are flexible for conformational change.
Published: 2019

41. Pathologic and MRI analysis in acute atypical inflammatory demyelinating lesions

Author: Thierry Vincent, A.-M. Guennoc, Pierre Labauge, Anne Kerbrat, François Cotton, Stéphane Kremer, Béatrice Carsin-Nicol, Mahmoud Charif, Sandra Vukusic, Thibaut Allou, Jérôme De Seze, Aurélie Ruet, Laurent Magy, Nicolas Menjot de Champfleur, Clarisse Carra-Dalliere, Guido Ahle, Eric Thouvenot, Françoise Durand-Dubief, Hélène Oesterle, Valérie Rigau, Denis Sablot, Romain Marignier, Nicolas Collongues, Gilles Edan, Mikael Cohen, Sonia Hebbadj, Benoit Lhermitte, Frederic Taithe, M. P. Boncoeur-Martel, Xavier Ayrignac, Grelier, Elisabeth, Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Institut des Neurosciences de Montpellier (INM), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Service d'Anatomie Pathologique Générale, CHU Strasbourg-Hôpital de Hautepierre [Strasbourg], Département d’Immunologie, Département de neurologie [Montpellier], Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Hôpital Gui de Chauliac [Montpellier]-Université de Montpellier (UM), Service de Neurologie [Strasbourg], CHU Strasbourg-Hopital Civil, Service de radiologie [Strasbourg], Service de Neurologie [Hôpitaux Civils de Colmar], Hôpitaux Civils Colmar, Hôpitaux Civils de Colmar, Centre Hospitalier Lyon Sud [CHU - HCL] (CHLS), Hospices Civils de Lyon (HCL), RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Pierre Wertheimer, Département de Neurologie, Service de Neurologie [Lyon], CHU Lyon, Service de Neurologie [CHU Clermont-Ferrand], CHU Gabriel Montpied [Clermont-Ferrand], CHU Clermont-Ferrand-CHU Clermont-Ferrand-CHU Estaing [Clermont-Ferrand], CHU Clermont-Ferrand, Hôpital Pasteur [Nice] (CHU), Service de Neurologie [Tours], Centre Hospitalier Régional Universitaire de Tours (CHRU Tours)-Hôpital Bretonneau, Service de Neurologie [Rennes] = Neurology [Rennes], CHU Pontchaillou [Rennes], Service de neurologie [Rennes], Université de Rennes (UR), Service de neurochirurgie [Rennes] = Neurosurgery [Rennes], Centre Hospitalier Universitaire de Nîmes (CHU Nîmes), Service de Neurologie [CHU Nimes] (Pôle NIRR), Hôpital Universitaire Carémeau [Nîmes] (CHU Nîmes), Centre Hospitalier Universitaire de Nîmes (CHU Nîmes)-Centre Hospitalier Universitaire de Nîmes (CHU Nîmes), Neuroinflammation: imagerie et thérapie de la sclérose en plaques, Université Bordeaux Segalen - Bordeaux 2-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de Neurologie [CHU Limoges], CHU Limoges, Neuroépidémiologie Tropicale (NET), CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM), Service de Radiologie et Imagerie Médicale [CHU Limoges], Institut des Neurosciences de Montpellier - Déficits sensoriels et moteurs (INM), Hôpital Gui de Chauliac [Montpellier]-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Université Montpellier 1 (UM1)-Université de Montpellier (UM), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Hôpital Bretonneau-Centre Hospitalier Régional Universitaire de Tours (CHRU Tours), Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Hôpital Gui de Chauliac [CHU Montpellier], Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Université de Montpellier (UM), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Adult, Male, Atypical inflammatory demyelinating syndrome, medicine.medical_specialty, Pathology, Multiple Sclerosis, Histopathology, Context (language use), Immunopathology, Cohort Studies, Lesion, Young Adult, 03 medical and health sciences, 0302 clinical medicine, medicine, Humans, 030212 general & internal medicine, Pathological, Aged, Retrospective Studies, Neuroradiology, Aquaporin 4, medicine.diagnostic_test, business.industry, Multiple sclerosis, Brain biopsy, Neuromyelitis Optica, food and beverages, Magnetic resonance imaging, Middle Aged, medicine.disease, Atypical demyelinating lesions, Magnetic Resonance Imaging, 3. Good health, Neurology, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, Acute Disease, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Female, Neurology (clinical), medicine.symptom, business, Aquaporin-4, 030217 neurology & neurosurgery, Demyelinating Diseases
Abstract: The diagnosis of atypical inflammatory demyelinating lesions can be difficult. Brain biopsy is often required to exclude neoplasms. Moreover, the relationship between these lesions and multiple sclerosis and NMOSD is not clear. Our objectives were to describe radiological and pathological characteristics of patients with acute inflammatory demyelinating lesions. We retrospectively identified patients with brain biopsy performed for diagnostic uncertainty revealing a demyelinating lesion. A complete clinical, biological, radiological and pathological analysis was performed. Twenty patients (15 with a single lesion) were included. MRI disclosed a wide range of lesions including infiltrative lesions (40%), ring-like lesion (15%) Balo-like lesion (15%) and acute haemorrhagic leukoencephalitis (20%). In spite of a marked heterogeneity, some findings were common: a peripheral B1000 hyperintense rim (70%), a slight oedema with mild mass effect (75%) and an open-rim peripheral enhancement (75%). Histopathology revealed that all cases featured macrophages distributed throughout, extensive demyelination, axonal preservation and absence of haemorrhagic changes. In the majority of cases, macrophages were the predominant inflammatory infiltrate and astrocytes were reactive and dystrophic. Aquaporin-4 staining was systematically preserved. After a mean follow-up of 5 years (1–12), 16/20 patients had a diagnosis of monophasic acute atypical inflammatory demyelinating lesion. One patient was diagnosed with MS and 3 with AQP4 negative NMOSD. Although imaging findings in patients with atypical inflammatory demyelinating lesions are heterogeneous, some common features such as peripheral DWI hyperintense rim with open-rim enhancement and absence of oedema argue in favour of a demyelinating lesion and should preclude a brain biopsy. In this context, AQP4 staining is systematically preserved and argues against an AQP4-positive NMOSD. Moreover, long-term follow-up is characterized by low recurrence rate.
Published: 2019

42. Modeling (and Learning from) Inventory Inaccuracies in E‐retailing/B2B contexts

Author: Aris A. Syntetos, Yacine Rekik, Christoph H. Glock, emlyon business school, Décision et Information pour les Systèmes de Production (DISP), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université Lumière - Lyon 2 (UL2), Centre for Operational Research and Applied Statistics, Salford Business School, University of Salford-University of Salford, Technische Universität Darmstadt (TU Darmstadt), and business school, emlyon
Subjects: Empirical data, Information Systems and Management, Operations research, Computer science, Strategy and Management, Supply chain, B2B, e-retailing, Management of Technology and Innovation, 0502 economics and business, Information system, Learning, inventory inaccuracies, [SHS.ECO] Humanities and Social Sciences/Economics and Finance, ComputingMilieux_MISCELLANEOUS, Stock (geology), Periodic inventory control, Inventory control, 05 social sciences, [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO], [SHS.ECO]Humanities and Social Sciences/Economics and Finance, General Business, Management and Accounting, E‐retailing, [SHS.GESTION]Humanities and Social Sciences/Business administration, 050211 marketing, Economic order quantity, [SHS.GESTION] Humanities and Social Sciences/Business administration, 050203 business & management
Abstract: International audience; Practical experience and scientific research show that there is scope for improving the performance of inventory control systems by taking into account the discrepancies between the actual physical inventory levels and those recorded in the information system (IS). Such discrepancies, which are often referred to as inventory (record) inaccuracies, are a major concern in contemporary supply chains where commitments to orders are usually made based on IS records only. Empirical data obtained in two case studies motivate the development of a multiperiod inventory control model that explicitly accounts for the differences between physical inventory levels and IS stock records. Numerical experiments help derive some key managerial insights. We find that previous important results on the behavior of the optimal order quantity in the retailing environment do not necessarily apply in an e‐retailing/Business‐To‐Business (B2B) context. We adjust and apply the zero balance walk technique to the e‐retailing/B2B case and deduce a simple and efficient learning mechanism about the errors’ distributions. We close with an agenda for further research in this area.
Published: 2019

43. On the impact of local microclimate on building performance simulation. Part I: Prediction of building external conditions

Author: Lucie Merlier, Frédéric Kuznik, Kévyn Johannes, Loïc Frayssinet, Centre d'Energétique et de Thermique de Lyon (CETHIL), Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, Bâtiment à Haute Efficacité Energétique (BHEE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-EDF R&D (EDF R&D), EDF (EDF)-EDF (EDF), Centre de Thermique de Lyon (CETHIL), and Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)
Subjects: 0211 other engineering and technologies, Microclimate, Building energy, 02 engineering and technology, Building and Construction, 7. Clean energy, Civil engineering, law.invention, [SPI]Engineering Sciences [physics], 13. Climate action, law, 021105 building & construction, 11. Sustainability, Thermal, Ventilation (architecture), Radiative transfer, Environmental science, 021108 energy, Boundary value problem, Envelope (mathematics), Reduction (mathematics), ComputingMilieux_MISCELLANEOUS, Energy (miscellaneous)
Abstract: To better predict the effective energy performance of buildings in cities, this study addresses the modelling of local external radiative, thermal and aeraulic conditions. After reviewing existing modelling approaches that are suitable for estimating the building boundary conditions in energy simulation, this paper analyses external conditions derived from a building energy model (BuildSysPro) or a microclimatic model (SOLENE microclimat). Comparisons are made for the different faces of a generic building standing alone or located in an urban environment, with or without a thermally efficient envelope. When the modelling approach is adjusted, the results highlight significant deviations on the estimated radiative temperatures and wind-based quantities around the isolated building. When accounting for surrounding buildings, the results show a substantial reduction in short-wave radiative fluxes, which is explained by an imbalance between solar masks and multireflections, and a reduction in the wind-driven ventilation potential.
Published: 2019

44. Relationships between brain perfusion and early recanalization after intravenous thrombolysis for acute stroke with large vessel occlusion

Author: Cyril Dargazanli, Yves Berthezène, Sébastien Richard, Vincent Costalat, Serge Bracard, Pierre Seners, Séverine Debiais, Ana-Paula Narata, Caroline Arquizan, Canan Ozsancak, Christophe Magni, Jean-Philippe Cottier, Jean-Louis Mas, Benjamin Gory, Laurence Legrand, Stéphanie Lion, Guillaume Turc, Jean-Claude Baron, Catherine Oppenheim, Norbert Nighoghossian, Tae-Hee Cho, Olivier Naggara, Institut de psychiatrie et neurosciences de Paris (IPNP - U1266 Inserm), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), Service de neuroradiologie [Tours], Centre Hospitalier Régional Universitaire de Tours (CHRU Tours), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Département de neurologie [Montpellier], Hôpital Gui de Chauliac [Montpellier]-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Université Montpellier 1 (UM1)-Université de Montpellier (UM), Imagerie Adaptative Diagnostique et Interventionnelle (IADI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Département de neuroradiologie diagnostique et thérapeutique [CHRU Nancy], Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Centre Hospitalier Régional d'Orléans (CHRO), Service de Neurologie [Tours], Centre Hospitalier Régional Universitaire de Tours (CHRU Tours)-Hôpital Bretonneau, Hôpital de la Croix-Rousse [CHU - HCL], Hospices Civils de Lyon (HCL), Département de Neuroradiologie[Montpellier], Service de neurologie [CHRU Nancy], Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Hôpital Gui de Chauliac [Montpellier]-Université de Montpellier (UM), Modeling & analysis for medical imaging and Diagnosis (MYRIAD), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Martinez Rico, Clara, Centre Hospitalier Régional Universitaire de Tours (CHRU TOURS), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), and Hôpital Bretonneau-Centre Hospitalier Régional Universitaire de Tours (CHRU Tours)
Subjects: Male, thrombolysis, medicine.medical_specialty, Mechanical Thrombolysis, [SDV]Life Sciences [q-bio], medicine.medical_treatment, Ischemia, Perfusion scanning, 030204 cardiovascular system & hematology, 03 medical and health sciences, 0302 clinical medicine, Cerebral perfusion, Internal medicine, ischemic stroke, medicine, Humans, magnetic resonance imaging, Prospective Studies, Registries, [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], cardiovascular diseases, Thrombus, Stroke, Aged, Retrospective Studies, Acute stroke, Aged, 80 and over, business.industry, Brain, Original Articles, Thrombolysis, Middle Aged, medicine.disease, Perfusion, [SDV] Life Sciences [q-bio], Diffusion Magnetic Resonance Imaging, Neurology, thrombectomy, Cardiology, Female, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Neurology (clinical), Cardiology and Cardiovascular Medicine, business, Magnetic Resonance Angiography, 030217 neurology & neurosurgery, Large vessel occlusion
Abstract: In large vessel occlusion (LVO) stroke, it is unclear whether severity of ischemia is involved in early post-thrombolysis recanalization over and above thrombus site and length. Here we assessed the relationships between perfusion parameters and early recanalization following intravenous thrombolysis administration in LVO patients. From a multicenter registry, we identified 218 thrombolysed LVO patients referred for thrombectomy with both (i) pre-thrombolysis MRI, including diffusion-weighted imaging (DWI), T2*-imaging, MR-angiography and dynamic susceptibility-contrast perfusion-weighted imaging (PWI); and (ii) evaluation of recanalization on first angiographic run or non-invasive imaging ≤ 3 h from thrombolysis start. Infarct core volume on DWI, PWI-DWI mismatch volume and hypoperfusion intensity ratio (HIR; defined as Tmax ≥ 10 s volume/ Tmax ≥ 6 s volume, low HIR indicating milder hypoperfusion) were determined using a commercially available software. Early recanalization occurred in 34 (16%) patients, and multivariable analysis was associated with lower HIR ( P = 0.006), shorter thrombus on T2*-imaging ( P
Published: 2019

45. Experimental study on the void fraction during two-phase flow of R1234yf in smooth horizontal tubes

Author: Ali Khosravi, Luiz Machado, Rémi Revellin, Leandro Cristino Oliveira Pereira, Juan Jose Garcia Pabon, Gleberson Marques Humia, Jocelyn Bonjour, Centre d'Energétique et de Thermique de Lyon (CETHIL), Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, Federal University of Itajubá, Universidade Federal de Minas Gerais, Department of Mechanical Engineering, Aalto-yliopisto, and Aalto University
Subjects: Materials science, 020209 energy, Mass flow, Flow (psychology), Void fraction, Fraction (chemistry), 02 engineering and technology, 01 natural sciences, Two-phase flow, 010305 fluids & plasmas, [SPI]Engineering Sciences [physics], Smooth horizontal tubes, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Adiabatic process, Porosity, ComputingMilieux_MISCELLANEOUS, Quick-closing valve(s) method, ta214, Mechanical Engineering, Building and Construction, Mechanics, R134a, Vapor quality, Saturation (chemistry), R1234yf
Abstract: Void fraction is an important parameter to design and simulate thermal systems involving two-phase flows. In this research, an experimental investigation of the void fraction in adiabatic two-phase flow of R1234yf in horizontal and smooth tubes with an internal diameter of 4.8 mm was carried out. For the experimental tests, the vapor quality ranges from 0.1 to 1 while two saturation temperatures (15 and 25 °C) and two mass flow rates (180 and 280 kg.m − 2s−1) are investigated. The quick-closing valve(s) method is used to measure the volumetric void fraction. Tests are also undertaken with R134a used as a reference in this study. The results highlight that the void fraction of R1234yf is 5% lower than that for R134a. In addition, the experimental data of R1234yf were compared against seven correlations from the literature: the Baroczy and the Hughmark correlations were shown to provide the best prediction, with a mean absolute error of 2% and 3.2%, respectively.
Published: 2019

46. Hydroxyurea therapy modulates sickle cell anemia red blood cell physiology: Impact on RBC deformability, oxidative stress, nitrite levels and nitric oxide synthase signalling pathway

Author: Elie Nader, Marc Romana, Nicolas Guillot, Philippe Connes, Cyril Martin, Céline Renoux, Philippe Joly, Romain Fort, Marijke Grau, Bianca Collins, Alexandra Gauthier, Solène Poutrel, Giovanna Cannas, Katja Walpurgis, Wilhelm Bloch, Arnaud Hot, Mario Thevis, Laboratoire Interuniversitaire de Biologie de la Motricité (LIBM ), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM), Laboratoire d'Excellence : Biogenèse et pathologies du globule rouge (Labex Gr-Ex), Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Hôpital Edouard Herriot [CHU - HCL], Hospices Civils de Lyon (HCL), Service de Médecine Interne, Hospices Civils de Lyon (HCL)-Hospices Civils de Lyon (HCL), Center for Preventive Doping Research, Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1)-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées, Pharmacogénétique et abords thérapeutiques des maladies héréditaires, Université des Antilles et de la Guyane (UAG)-Université Paris Diderot - Paris 7 (UPD7)-IFR2-Institut National de la Santé et de la Recherche Médicale (INSERM), Cardiovasculaire, métabolisme, diabétologie et nutrition (CarMeN), Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hospices Civils de Lyon (HCL), Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Institut National de la Recherche Agronomique (INRA)
Subjects: Adult, Male, Nitroprusside, 0301 basic medicine, Cancer Research, Erythrocytes, Physiology, Clinical Biochemistry, Anemia, Sickle Cell, Nitric Oxide, medicine.disease_cause, Biochemistry, Nitric oxide, 03 medical and health sciences, chemistry.chemical_compound, Erythrocyte Deformability, medicine, Humans, Hydroxyurea, Phosphorylation, Nitrites, chemistry.chemical_classification, Reactive oxygen species, biology, [SDV.MHEP.HEM]Life Sciences [q-bio]/Human health and pathology/Hematology, hemic and immune systems, medicine.disease, Sickle cell anemia, 3. Good health, Nitric oxide synthase, Oxidative Stress, Red blood cell, 030104 developmental biology, medicine.anatomical_structure, chemistry, biology.protein, Female, Sodium nitroprusside, Hemoglobin, Nitric Oxide Synthase, Reactive Oxygen Species, Proto-Oncogene Proteins c-akt, Oxidative stress, Signal Transduction, circulatory and respiratory physiology, medicine.drug
Abstract: International audience; Hydroxyurea (HU) has been suggested to act as a nitric oxide (NO) donor in sickle cell anemia (SCA). However, little is known about the HU NO-related effects on red blood cell (RBC) physiology and NO signalling pathway. Thirty-four patients with SCA (22 under HU treatment (HU+) and 12 without (HU-)) and 17 healthy subjects (AA) were included. RBC nitrite content, deformability and reactive oxygen species (ROS) levels were measured. RBC NO-synthase (RBC-NOS) signalling pathway was assessed by the measurement of RBC-NOS serine 1177 and RBC-AKT serine 473 phosphorylation. We also investigated the in vitro effects of Sodium Nitroprusside (SNP), a NO donor, on the same parameters in SCA RBC. RBC nitrite content was higher in HU+ than in HU-and AA. RBC deformability was decreased in SCA patients compared to AA but the decrease was more pronounced in HU-. RBC ROS level was increased in SCA compared to AA but the level was higher in HU-than in HU+. RBC-NOS serine 1177 and RBC-AKT serine 473 phosphorylation were decreased in HU+ compared to HU-and AA. SCA RBC treated with SNP showed increased deformability, reduced ROS content and a decrease in AKT and RBC-NOS phosphorylation. Our study suggests that HU, through its effects on foetal hemoglobin and possibly on NO delivery, would modulate RBC NO signalling pathway, RBC rheology and oxidative stress.
Published: 2018

47. Effectiveness of carbohydrates as a functional ingredient in glycemic control

Author: Julie-Anne Nazare, Eliana Bistriche Giuntini, Franco Maria Lajolo, Elizabete Wenzel de Menezes, Fabiana Andréa Hoffmann Sardá, Daniel König, Luciana Bahia, Universidade de São Paulo (USP), Universidade Federal de São Paulo, Cardiovasculaire, métabolisme, diabétologie et nutrition (CarMeN), Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National de la Recherche Agronomique (INRA), University of Freiburg [Freiburg], Universidade Federal do Estado do Rio de Janeiro (UNIRIO), ProdInra, Migration, Universidade de São Paulo = University of São Paulo (USP), Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Subjects: 0301 basic medicine, resistant starch, medicine.medical_treatment, [SDV]Life Sciences [q-bio], Population, aliment, lcsh:TX341-641, 03 medical and health sciences, Ingredient, Environmental health, lcsh:Technology (General), medicine, education, Glycemic, amidon, Plasma glucose, education.field_of_study, 030109 nutrition & dietetics, business.industry, Insulin, food, slowly available carbohydrates, fiber, 3. Good health, [SDV] Life Sciences [q-bio], Postprandial, fibre, lcsh:T1-995, glycémie, business, lcsh:Nutrition. Foods and food supply, Food Science, Biotechnology, Healthcare system
Abstract: International audience; High postprandial glycemia in the non-diabetic population is one of the known universal mechanisms for the progression of noncommunicable diseases (NCDs), which have impacted the finances of both individuals and of health systems. In order to highlight the role of carbohydrates in glycemic control and its implications on health, the International Life Sciences Institute Brazil held an international workshop on "Carbohydrates, Glycemia and Health". Carbohydrate digestion rate is related to glycemic response, which mainly depends on the quality and amount of carbohydrate ingested, and thus it may be modulated by intrinsic and extrinsic factors. These effects can be verified by using different methods which evidence how physiology adapts in the uptake of glucose. Consumers can be aided with the knowledge/awareness of the benefits of high postprandial glycemia control in non-diabetic subjects. Multisectorial actions can contribute to decrease the onset and worsening of NCDs. A strategy indicated to the public in general to expand the availability of products that do not result in a sudden increase of postprandial plasma glucose and/or insulin would be to use alternative ingredients and/or technology in addition to making the legally allowed communication of benefits, which are supported by scientific studies.
Published: 2018

48. Brain virtual histology with X-ray phase-contrast tomography Part I: whole-brain myelin mapping in white-matter injury models

Author: Chourrout, Matthieu, Rositi, Hugo, Ong, Elodie, Hubert, Violaine, Paccalet, Alexandre, Foucault, Louis, Autret, Awen, Fayard, Barbara, Olivier, Cécile, Bolbos, Radu, Peyrin, Françoise, Crola-Da-Silva, Claire, Meyronet, David, Raineteau, Olivier, Elleaume, Hélène, Brun, Emmanuel, Chauveau, Fabien, Wiart, Marlène, Centre de recherche en neurosciences de Lyon - Lyon Neuroscience Research Center (CRNL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut Pascal (IP), Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA)-Institut national polytechnique Clermont Auvergne (INP Clermont Auvergne), Université Clermont Auvergne (UCA)-Université Clermont Auvergne (UCA), Cardiovasculaire, métabolisme, diabétologie et nutrition (CarMeN), Université de Lyon-Université de Lyon-Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut cellule souche et cerveau / Stem Cell and Brain Research Institute (U1208 Inserm - UCBL1 / SBRI - USC 1361 INRAE), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Novitom [Grenoble], Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre d'Etude et de Recherche Multimodal Et Pluridisciplinaire en imagerie du vivant (CERMEP - imagerie du vivant), Université de Lyon-Université de Lyon-CHU Grenoble-Hospices Civils de Lyon (HCL)-CHU Saint-Etienne-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Hospices Civils de Lyon (HCL), Université de Lyon, Synchrotron Radiation for Biomedicine = Rayonnement SynchroTROn pour la Recherche BiomédicalE (STROBE), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut cellule souche et cerveau / Stem Cell and Brain Research Institute (SBRI), Imagerie Tomographique et Radiothérapie, Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-CHU Grenoble-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes (UGA), ANR-15-CE18-0026,NanoBrain,Imagerie de l'inflammation cérébrale dans l'AVC ischémique : développement d'une sonde nanoparticulaire multimodale & méthodes d'imagerie cérébrale(2015), Centre de recherche en neurosciences de Lyon (CRNL), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), and Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL)
Subjects: 0303 health sciences, Pathology, medicine.medical_specialty, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, business.industry, Multiple sclerosis, White Matter Injury, Tissue Processing, Histology, Human brain, medicine.disease, Article, 03 medical and health sciences, Myelin, 0302 clinical medicine, medicine.anatomical_structure, medicine, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Tomography, business, 030217 neurology & neurosurgery, 030304 developmental biology, Diffusion MRI
Abstract: White-matter injury leads to severe functional loss in many neurological diseases. Myelin staining on histological samples is the most common technique to investigate white-matter fibers. However, tissue processing and sectioning may affect the reliability of 3D volumetric assessments. The purpose of this study was to propose an approach that enables myelin fibers to be mapped in the whole rodent brain with microscopic resolution and without the need for strenuous staining. With this aim, we coupled inline (propagation-based) X-ray phase-contrast tomography (XPCT) to ethanol-induced brain sample dehydration. We here provide the proof-of-concept that this approach enhances myelinated axons in rodent and human brain tissue. In addition, we demonstrated that white-matter injuries could be detected and quantified with this approach, using three animal models: ischemic stroke, premature birth and multiple sclerosis. Furthermore, in analogy to diffusion tensor imaging (DTI), we retrieved fiber directions and DTI-like diffusion metrics from our XPCT data to quantitatively characterize white-matter microstructure. Finally, we showed that this non-destructive approach was compatible with subsequent complementary brain sample analysis by conventional histology. In-line XPCT might thus become a novel gold-standard for investigating white-matter injury in the intact brain. This is Part I of a series of two articles reporting the value of in-line XPCT for virtual histology of the brain; Part II shows how in-line XPCT enables the whole-brain 3D morphometric analysis of amyloid-β (Aβ) plaques.HighlightsX-ray phase-contrast tomography (XPCT) enables myelin mapping of the whole brainXPCT detects and quantifies white-matter injuries in a range of diseasesFiber directions and anisotropy metrics can be retrieved from XPCT dataXPCT is compatible with subsequent conventional histology of brain samplesXPCT is a powerful virtual histology tool that requires minimal sample preparationGraphical Abstract
Published: 2021

49. Gain in net survival from hypertension control over the last half-century

Author: Muriel Rabilloud, Constance Debouzy-Berge, Pierre-Yves Courand, Benjamin Riche, Pierre Lantelme, M. O. Rial, Brahim Harbaoui, Jean Iwaz, Carine Mouly-Bertin, Chahinaz Moulayat, Cardiology Department, European Society of Hypertension Excellence Center, Hôpital de la Croix-Rousse [CHU - HCL], Hospices Civils de Lyon (HCL)-Hospices Civils de Lyon (HCL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, Service de Cardiologie [Hôpital Croix- Rousse, HCL] (Centre d'excellence de la Société européenne d'hypertension artérielle), Hospices Civils de Lyon (HCL)-Hôpital de la Croix-Rousse [CHU - HCL], Hospices Civils de Lyon (HCL), Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Département biostatistiques et modélisation pour la santé et l'environnement [LBBE], Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Biostatistiques santé, and Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE)
Subjects: Male, Epidemiology, [SDV]Life Sciences [q-bio], Population, Context (language use), Blood Pressure, 030204 cardiovascular system & hematology, 03 medical and health sciences, 0302 clinical medicine, Life Expectancy, Medicine, Humans, 030212 general & internal medicine, education, 10. No inequality, Net Survival, Survival analysis, Excess mortality, education.field_of_study, business.industry, Blood Pressure Determination, Middle Aged, Prognosis, Confidence interval, 3. Good health, Blood pressure, Hypertension, Life expectancy, Female, business, Cardiology and Cardiovascular Medicine, Demography
Abstract: Aims This study determined whether the improvements in hypertension management over the last five decades have influenced subjects’ prognosis. Methods and results The study considered 5693 eligible subjects seen January 1969 to February 1991 (follow-up until December 2003) or January 1995 to October 2014 (follow-up until July 2016) in an all-grade hypertension reference centre. Missing data or incomplete follow-ups led to exclude 1036 subjects (18%). The outcome was all-cause death. An adjusted modelling of the excess mortality rate assessed subjects’ net survival over five inclusion periods to allow for the increase in life expectancy of the general population during the same periods. The analysis of 4657 records (mean age: 47 years; 43.2% women) showed that the proportion of subjects with grade 3 hypertension decreased significantly from 43.3% (1142) to only 6.3% (22) over the five periods and that the net survival improved in men and women regardless of the hypertension grade; i.e. the gain in net survival at 15 years was estimated at 12.3% (95% confidence interval: 8.1–22.3). The 15-year restricted mean survival was estimated at 13 years over the first period and 14.8 years over the last period, which is nearly a 2-year gain in life expectancy at 15 years. Conclusion Since the 70s and the advent of modern management, the excess mortality of hypertensive subjects (vs. the general population) was markedly reduced. Within a context of trivialization of blood pressure measurement and reluctance to long-term treatments, physicians should consider this advantage and use it to promote blood pressure control.
Published: 2021

50. Modeling SARS-CoV-2 viral kinetics and association with mortality in hospitalized patients from the French COVID cohort

Author: Néant, N. (Nadège), Lingas, G. (Guillaume), Le Hingrat, Q. (Quentin), Ghosn, J. (Jade), Engelmann, I. (Ilka), Lepiller, Q. (Quentin), Gaymard, A. (Alexandre), Ferré, V. (Virginie), Hartard, C. (Cédric), Plantier, J-C. (Jean-Christophe), Thibault, V. (V.), Marlet, J. (Julien), Montes, B. (Brigitte), Bouiller, K. (Kevin), Lescure, F-X. (François-Xavier), Timsit, J-F. (Jean-François), Faure, E. (Emmanuel), Poissy, J. (Julien), Chidiac, C. (Christian), Raffi, F. (François), Kimmoun, A. (Antoine), Etienne, M. (Manuel), Richard, J-C. (Jean-Christophe), Tattevin, P. (Pierre), Garot, D. (Denis), Le Moing, V. (Vincent), Bachelet, D. (Delphine), Tardivon, C. (Coralie), Duval, X. (Xavier), Yazdanpanah, Y. (Yazdan), Mentré, F. (France), Laouénan, C. (Cédric), Visseaux, B. (Benoit), Guedj, J. (Jérémie), plantier, Infection, Anti-microbiens, Modélisation, Evolution (IAME (UMR_S_1137 / U1137)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Université Sorbonne Paris Nord, Services de Maladies Infectieuses et Tropicales [CHU Bichat], AP-HP - Hôpital Bichat - Claude Bernard [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Institut de Microbiologie [CHRU Lille], Pôle de Biologie Pathologie Génétique [CHU Lille], Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Carcinogénèse épithéliale : facteurs prédictifs et pronostiques - UFC (UR 3181) (CEF2P / CARCINO), Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon), Hospices Civils de Lyon (HCL), Centre hospitalier universitaire de Nantes (CHU Nantes), Laboratoire de Chimie Physique et Microbiologie pour les Matériaux et l'Environnement (LCPME), Institut de Chimie du CNRS (INC)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de virologie [Rouen], Hôpital Charles Nicolle [Rouen], CHU Rouen, Normandie Université (NU)-Normandie Université (NU)-CHU Rouen, Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU), CHU Pontchaillou [Rennes], Morphogénèse et antigénicité du VIH et du virus des Hépatites (MAVIVH - U1259 Inserm - CHRU Tours ), Centre Hospitalier Régional Universitaire de Tours (CHRU Tours)-Université de Tours (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Laboratoire Chrono-environnement (UMR 6249) (LCE), Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Service d'anesthésie - réanimation chirurgicale [CHU Bichat], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-AP-HP - Hôpital Bichat - Claude Bernard [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Cité (UPCité), Centre d’Infection et d’Immunité de Lille - INSERM U 1019 - UMR 9017 - UMR 8204 (CIIL), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Centre National de la Recherche Scientifique (CNRS), Unité de Glycobiologie Structurale et Fonctionnelle - UMR 8576 (UGSF), Université de Lille-Centre National de la Recherche Scientifique (CNRS), Service des maladies infectieuses et tropicales [CHU Lyon] (hôpital de la Croix-Rousse), Hôpital de la Croix-Rousse [CHU Lyon], Centre d’Investigation Clinique de Nantes (CIC Nantes), Université de Nantes (UN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre hospitalier universitaire de Nantes (CHU Nantes), Défaillance Cardiovasculaire Aiguë et Chronique (DCAC), Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Cardiovascular and Renal Clinical Trialists [Vandoeuvre-les-Nancy] (INI-CRCT), Institut Lorrain du Coeur et des Vaisseaux Louis Mathieu [Nancy], French-Clinical Research Infrastructure Network - F-CRIN [Paris] (Cardiovascular & Renal Clinical Trialists - CRCT ), Service de Réanimation Médicale [CHRU Nancy], Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Service des Maladies Infectieuses et Tropicales [Hôpital Charles Nicolle, Rouen], Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Modeling & analysis for medical imaging and Diagnosis (MYRIAD), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), ARN régulateurs bactériens et médecine (BRM), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Service de Médecine Intensive et Réanimation [Tours], Département Maladies Infectieuses et Tropicales, Hôpital Universitaire, Montpellier, France, Département d’Epidémiologie, de Biostatistique et de Recherche Clinique [AP-HP Hôpital Bichat - Claude Bernard] (DEBRC), Centre d'investigation Clinique [CHU Bichat] - Épidémiologie clinique (CIC 1425), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM), The study has received financial support from the National Research Agency (ANR) through the ANR-Flash call for COVID-19 (Grant ANR-20-COVI-0018) and the Bill and Melinda Gates Foundation under Grant Agreement INV-017335. The French cohort was supported by the REACTing consortium and by a grant from the French Ministry of Health (Grant PHRC 20-0424). The funders had no role in the study design, in the collection, analysis, and interpretation of data, in the writing of the report, and in the decision to submit the article for publication., ANR-20-COVI-0018,TheraCoV,Dynamique virale au niveau individuel et populationnel : implications pour l'optimisation des stratégies antivirales(2020), Normandie Université (NU)-Département de microbiologie : Bactério, Virologie, Parasito, Hygiène, Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), HAL UR1, Admin, Dynamique virale au niveau individuel et populationnel : implications pour l'optimisation des stratégies antivirales - - TheraCoV2020 - ANR-20-COVI-0018 - COVID-19 - VALID, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Université Sorbonne Paris Nord, Carcinogénèse épithéliale : facteurs prédictifs et pronostiques - UFC (EA 3181) (CEF2P / CARCINO), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon), Hôpital Charles Nicolle [Rouen]-CHU Rouen, Laboratoire Chrono-environnement - CNRS - UBFC (UMR 6249) (LCE), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université de Paris (UP), Centre National de la Recherche Scientifique (CNRS)-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Université de Lille-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), Unité de Glycobiologie Structurale et Fonctionnelle (UGSF), Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Hôpital Charles Nicolle [Rouen]-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Centre Hospitalier Régional Universitaire de Tours (CHRU Tours), Université de Tours-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Régional Universitaire de Tours (CHRU TOURS), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Centre Hospitalier Régional Universitaire de Tours (CHRU TOURS), Université de Lille, CNRS, Infection, Anti-microbiens, Modélisation, Evolution [IAME (UMR_S_1137 / U1137)], Pathogenèse virale du diabète de type 1 - ULR 3610, Carcinogénèse épithéliale : facteurs prédictifs et pronostiques - UFC (UR 3181) [CEF2P / CARCINO], Centre Hospitalier Régional Universitaire de Besançon [CHRU Besançon], Centre hospitalier universitaire de Nantes [CHU Nantes], Laboratoire de Chimie Physique et Microbiologie pour les Matériaux et l'Environnement [LCPME], Morphogénèse et antigénicité du VIH et du virus des Hépatites [MAVIVH - U1259 Inserm - CHRU Tours ], CHU Montpellier, Laboratoire Chrono-environnement (UMR 6249) [LCE], Service des maladies infectieuses et tropicales, Centre d’Infection et d’Immunité de Lille - INSERM U 1019 - UMR 9017 - UMR 8204 [CIIL], Unité de Glycobiologie Structurale et Fonctionnelle (UGSF) - UMR 8576, Unité de Glycobiologie Structurale et Fonctionnelle - UMR 8576 [UGSF], Service de Maladies Infectieuses et Tropicales [Hôpital de la Croix-Rousse - HCL], Centre d’Investigation Clinique de Nantes [CIC Nantes], Défaillance Cardiovasculaire Aiguë et Chronique [DCAC], Cardiovascular and Renal Clinical Trialists [Vandoeuvre-les-Nancy] [INI-CRCT], French-Clinical Research Infrastructure Network - F-CRIN [Paris] [Cardiovascular & Renal Clinical Trialists - CRCT ], Service des maladies infectieuses et tropicales [Rouen], Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé [CREATIS], ARN régulateurs bactériens et médecine [BRM], Centre Hospitalier Régional Universitaire de Tours [CHRU Tours], Département d'épidémiologie, biostatistique et recherche clinique, and Centre d'investigation Clinique [CHU Bichat] - Épidémiologie clinique [CIC 1425]
Subjects: Male, 0301 basic medicine, Medical Sciences, viruses, MESH: Hospitalization, Antibodies, Viral, 0302 clinical medicine, Risk Factors, MESH: Risk Factors, Nasopharynx, Epidemiology, MESH: COVID-19, Prospective Studies, 030212 general & internal medicine, MESH: Models, Theoretical, Prospective cohort study, MESH: Aged, education.field_of_study, [SDV.MHEP] Life Sciences [q-bio]/Human health and pathology, Multidisciplinary, MESH: Kinetics, Mortality rate, Biological Sciences, Viral Load, Prognosis, viral dynamics, 3. Good health, Hospitalization, Survival Rate, [SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology, MESH: RNA, Viral, Cohort, RNA, Viral, Female, France, MESH: Viral Load, Viral load, medicine.medical_specialty, MESH: Survival Rate, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Population, MESH: Prognosis, 03 medical and health sciences, Internal medicine, medicine, Humans, MESH: SARS-CoV-2, education, [SDV.MP] Life Sciences [q-bio]/Microbiology and Parasitology, Survival rate, Aged, MESH: Humans, SARS-CoV-2, business.industry, COVID-19, Models, Theoretical, mortality, MESH: Male, MESH: Nasopharynx, MESH: Prospective Studies, MESH: France, Kinetics, 030104 developmental biology, business, MESH: Female, MESH: Antibodies, Viral, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract: Significance A detailed characterization of viral load kinetics and its association with disease evolution is key to understand the virus pathogenesis, identify high-risk patients, and design better treatment strategies. We here analyze the mortality and the virological information collected in 655 hospitalized patients, including 284 with longitudinal measurements, and we build a mathematical model of virus dynamics and survival. We predict that peak viral load occurs 1 d before symptom onset, on average, and that dynamics of decline after peak is slower in older patients. Viral load dynamics after hospital admission is an independent predictor of the risk of death, suggesting that prolonged viral shedding of high quantities of virus is associated with poor outcome in this population., The characterization of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral kinetics in hospitalized patients and its association with mortality is unknown. We analyzed death and nasopharyngeal viral kinetics in 655 hospitalized patients from the prospective French COVID cohort. The model predicted a median peak viral load that coincided with symptom onset. Patients with age ≥65 y had a smaller loss rate of infected cells, leading to a delayed median time to viral clearance occurring 16 d after symptom onset as compared to 13 d in younger patients (P < 10−4). In multivariate analysis, the risk factors associated with mortality were age ≥65 y, male gender, and presence of chronic pulmonary disease (hazard ratio [HR] > 2.0). Using a joint model, viral dynamics after hospital admission was an independent predictor of mortality (HR = 1.31, P < 10−3). Finally, we used our model to simulate the effects of effective pharmacological interventions on time to viral clearance and mortality. A treatment able to reduce viral production by 90% upon hospital admission would shorten the time to viral clearance by 2.0 and 2.9 d in patients of age
Published: 2021

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