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1. Validation of a screening algorithm for hepatic fibrosis by Doppler ultrasound and elastography in a general population

Author

Anne-Sophie Renard, Anita Paisant, Victoire Cartier, Paul Calès, Mirela Goyet-Prelipcean, Edmond Geagea, Jean-Pierre Tasu, Christine Silvain, Mathilde Wagner, Aline Le Cleach, Valérie Vilgrain, Laurent Castera, Ivan Bricault, Thomas Decaens, Céline Savoye-Collet, Hélène Montialoux, Jean-Michel Correas, Anaïs Vallet-Pichard, Jérôme Boursier, Christophe Aubé, Centre Hospitalier Universitaire d'Angers (CHU Angers), PRES Université Nantes Angers Le Mans (UNAM), Hémodynamique, Interaction Fibrose et Invasivité tumorales Hépatiques (HIFIH), Université d'Angers (UA), CH Cholet, Centre hospitalier universitaire de Poitiers (CHU Poitiers), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Hôpital Beaujon [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Centre de recherche sur l'Inflammation (CRI (UMR_S_1149 / ERL_8252 / U1149)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), CHU Grenoble, Centre d'Investigation Clinique [Grenoble] (CIC Grenoble), CHU Grenoble-Hôpital Michallon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes (UGA), Université Grenoble Alpes (UGA), 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), Service de Radiologie [CHU Rouen], CHU Rouen, Normandie Université (NU)-Normandie Université (NU), Service d'Hépato-Gastroentérologie [CHU Rouen], Hôpital Charles Nicolle [Rouen], Normandie Université (NU)-Normandie Université (NU)-CHU Rouen, Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU), CHU Necker - Enfants Malades [AP-HP], Université Paris Descartes - Paris 5 (UPD5), Hôpital Cochin [AP-HP], Physiopathologie du système immunitaire (Inserm U1223), Institut Pasteur [Paris] (IP)-Institut National de la Santé et de la Recherche Médicale (INSERM), Département de Neuro-Radiologie [Angers] (DNR - Angers), and PRES Université Nantes Angers Le Mans (UNAM)-PRES Université Nantes Angers Le Mans (UNAM)

Subjects
Radiological and Ultrasound Technology, Radiology, Nuclear Medicine and imaging, General Medicine, [SHS]Humanities and Social Sciences
Abstract

Background Early detection can prevent the initial stages of fibrosis from progressing to cirrhosis. Purpose To evaluate an algorithm combining three echographic indicators and elastographic measurements to screen for hepatic fibrosis in an unselected population. Material and Methods From May 2017 to June 2018, all patients with no history and no known chronic liver disease who were referred for an ultrasound (US) were prospectively included in eight hospitals. The indicators being sought were liver surface irregularity, demodulation of hepatic veins, and spleen length >110 mm. Patients presenting at least one of these underwent elastography measurements with virtual touch quantification (VTQ) or supersonic shear imaging (SSI). If elastography was positive, patients were referred to hepatologist for fibrosis evaluation. Reference standard was obtained by FibroMeterVCTE or biopsy. A FibroMeterVCTE result >0.384 indicated a “necessary referral” to a hepatologist. Results Of the 1501 patients included, 504 (33.6%) were positive for at least one US indicator. All of them underwent US elastography, with 85 being positive. Of the patients, 58 (3.6%) had a consultation with a liver specialist: 21 had positive FibroMeterVCTE and nine had an indication of biopsy for suspicion of fibrosis. This screening algorithm made it possible to diagnose 1.6% of patients in our population with unknown fibrosis. Of the patients, 50% referred to the liver specialist were “necessary referrals.” Conclusion Our study suggests that three simple US indicators with no systematic elastographic measurement could be applied in day-to-day practice to look for hepatic fibrosis in an unsuspected population allowing relevant referrals to a hepatologist.

Published
2023
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2. Predictors of Unexplained Early Neurological Deterioration After Endovascular Treatment for Acute Ischemic Stroke

Author

Jean-Baptiste Girot, Sébastien Richard, Florent Gariel, Igor Sibon, Julien Labreuche, Maéva Kyheng, Benjamin Gory, Cyril Dargazanli, Benjamin Maier, Arturo Consoli, Benjamin Daumas-Duport, Bertrand Lapergue, Romain Bourcier, Michel Piotin, Raphael Blanc, Hocine Redjem, Simon Escalard, Jean-Philippe Desilles, Gabriele Ciccio, Stanislas Smajda, Mikael Mazighi, Mikael Obadia, Candice Sabben, Roxanne Peres, Ovide Corabianu, Thomas de Broucker, Didier Smadja, Sonia Alamowitch, Olivier Ille, Eric Manchon, Pierre-Yves Garcia, Guillaume Taylor, Malek Ben Maacha, Adrien Wang, Serge Evrard, Maya Tchikviladze, Nadia Ajili, David Weisenburger, Lucas Gorza, Géraldine Buard, Oguzhan Coskun, Federico Di Maria, Georges Rodesh, Sergio Zimatore, Morgan Leguen, Julie Gratieux, Fernando Pico, Haja Rakotoharinandrasana, Philippe Tassan, Roxanna Poll, Sylvie Marinier, Norbert Nighoghossian, Roberto Riva, Omer Eker, Francis Turjman, Laurent Derex, Tae-Hee Cho, Laura Mechtouff, Anne Claire Lukaszewicz, Frédéric Philippeau, Serkan Cakmak, Karine Blanc-Lasserre, Anne-Evelyne Vallet, Gaultier Marnat, Xavier Barreau, Jérôme Berge, Louis Veunac, Patrice Menegon, Ludovic Lucas, Stéphane Olindo, Pauline Renou, Sharmila Sagnier, Mathilde Poli, Sabrina Debruxelles, Thomas Tourdias et Jean-Sebastien Liegey, Lili Detraz, Pierre-Louis Alexandre, Monica Roy, Cédric Lenoble, Vincent L’allinec, Hubert Desal, Benoît Guillon, Solène de Gaalon, Cécile Preterre, Serge Bracard, René Anxionnat, Marc Braun, Anne-Laure Derelle, Romain Tonnelet, Liang Liao, François Zhu, Emmanuelle Schmitt, Sophie Planel, Lisa Humbertjean, Gioia Mione, Jean-Christophe Lacour, Mathieu Bonnerot, Nolwenn Riou-Comte, Francisco Macian-Montoro, Suzanna Saleme, Charbel Mounayer, Aymeric Rouchaud, Vincent Costalat, Caroline Arquizan, Grégory Gascou, Pierre-Henri Lefèvre, Imad Derraz, Carlos Riquelme, Nicolas Gaillard, Isabelle Mourand, Lucas Corti, Eugene Francois, Stéphane Vannier, Jean-Christophe Ferre, Helene Raoult, Thomas Ronziere, Maria Lassale, Christophe Paya, Jean-Yves Gauvrit, Clément Tracol, Sophie Langnier-Lemercier, Yves Samson, Charlotte Rosso, Anne Leger, Sandrine Deltour, Frederic Clarencon, Eimad Shotar, Laurent Spelle, Christian Denier, Olivier Chassin, Vanessa Chalumeau, Jildaz Caroff, Laura Venditti, Guillaume Turc, Glivier Naggara, Gregoire Boulouis, Waghih Ben Hassen, Pierre Seners, Alain Viguier, Christophe Cognard, Anne Christine Januel, Jean-Marc Olivot, Nicolas Raposo, Fabrice Bonneville, Emmanuel Touze, Charlotte Barbier, Romain Schneckenburger, Marion Boulanger, Julien Cogez, Sophie Guettier, Département de Neuro-Radiologie [Angers] (DNR - Angers), Centre Hospitalier Universitaire d'Angers (CHU Angers), PRES Université Nantes Angers Le Mans (UNAM)-PRES Université Nantes Angers Le Mans (UNAM), Département de Neuroradiologie [St Herblain], Hôpital Guillaume-et-René-Laennec [Saint-Herblain], 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), Centre d'investigation clinique plurithématique Pierre Drouin [Nancy] (CIC-P), Centre d'investigation clinique [Nancy] (CIC), Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Département de Neuro-Radiologie [Bordeaux] (DNR - Bordeaux), CHU Bordeaux [Bordeaux], Service de neurologie [Bordeaux], CHU Bordeaux [Bordeaux]-Groupe hospitalier Pellegrin, Evaluation des technologies de santé et des pratiques médicales - ULR 2694 (METRICS), Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), 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), Département de Neuroradiologie[Montpellier], 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), Hôpital de la Fondation Ophtalmologique Adolphe de Rothschild [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Hôpital Foch [Suresnes], Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Université de Montpellier (UM), Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Hôpital Gui de Chauliac [Montpellier]-Université de Montpellier (UM), and Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)

Subjects
Male, medicine.medical_specialty, [SDV.IB.MN]Life Sciences [q-bio]/Bioengineering/Nuclear medicine, 030204 cardiovascular system & hematology, Brain Ischemia, Brain ischemia, 03 medical and health sciences, 0302 clinical medicine, Fibrinolytic Agents, Risk Factors, Internal medicine, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Medicine, Humans, In patient, Prospective Studies, Registries, Endovascular treatment, Stroke, Acute ischemic stroke, Aged, Thrombectomy, Advanced and Specialized Nursing, Aged, 80 and over, business.industry, Endovascular Procedures, Middle Aged, medicine.disease, Combined Modality Therapy, 3. Good health, Blood pressure, Treatment Outcome, Ischemic stroke, Cardiology, Female, Neurology (clinical), Cardiology and Cardiovascular Medicine, business, 030217 neurology & neurosurgery, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract

Background and Purpose: Although the efficacy of endovascular treatment (EVT) in patients with anterior circulation ischemic stroke (AIS) is well documented, early neurological deterioration after EVT remains a serious issue associated with poor outcome. Besides obvious causes, such as lack of reperfusion, procedural complications, or parenchymal hemorrhage, early neurological deterioration may remain unexplained (UnEND). Our aim was to investigate predictors of UnEND after EVT in patients with AIS. Methods: Patients who underwent EVT for AIS, with an initial National Institutes of Health Stroke Scale score >5, Alberta Stroke Program Early CT Score ≥6, and included in a multicenter prospective observational registry were analyzed. Predictors of UnEND, defined as ≥4-point increase in the National Institutes of Health Stroke Scale score between baseline and day 1 after EVT, were determined via center-adjusted analyses. Results: Among the 1925 included in the analysis, 128 UnEND (6.6%) were recorded. In multivariate analysis, predictors of UnEND were diabetes mellitus (odds ratio [OR], 2.17 [95% CI, 1.32–3.56]), prestroke modified Rankin Scale score ≥2 (OR, 2.22 [95% CI, 1.09–4.55]), general anesthesia (OR, 2.55 [95% CI, 1.51–4.30]), admission systolic blood pressure (OR, 1.10 [95% CI, 1.01–1.20]), age (OR, 1.38 [95% CI, 1.14–1.67]), number of passes (OR, 1.16 [95% CI, 1.04–1.28]), direct admission or not to a comprehensive stroke center (OR, 0.49 [95% CI, 0.30–0.81]), and initial National Institutes of Health Stroke Scale score (OR, 0.65 [95% CI, 0.52–0.81]). Conclusions: Severely impaired AIS patients with nonmodifiable factors are more likely to develop UnEND. Some modifiable predictors of UnEND such as the number of EVT passes could be the object of improvement in AIS management.

Published
2020
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3. The ventral attention network: the mirror of the language network in the right brain hemisphere

Author

Aram Ter Minassian, Philippe Menei, Louis-Marie Leiber, Edouard Mazerand, Florian Bernard, Jean-Michel Lemée, Design and Application of Innovative Local Treatments in Glioblastoma (CRCINA-ÉQUIPE 17), Centre de Recherche en Cancérologie et Immunologie Nantes-Angers (CRCINA), 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)-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), Département de neurochirurgie [Angers], Centre Hospitalier Universitaire d'Angers (CHU Angers), PRES Université Nantes Angers Le Mans (UNAM)-PRES Université Nantes Angers Le Mans (UNAM), Département de Neuro-Radiologie [Angers] (DNR - Angers), Réanimation Médicale [CHU Angers], Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), Université d'Angers (UA), Bernardo, Elizabeth, 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)-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), and PRES Université Nantes Angers Le Mans (UNAM)

Subjects
0301 basic medicine, Adult, Histology, Temporoparietal junction, Inferior frontal gyrus, tractography, Context (language use), [SDV.CAN]Life Sciences [q-bio]/Cancer, Biology, Functional Laterality, 03 medical and health sciences, 0302 clinical medicine, [SDV.CAN] Life Sciences [q-bio]/Cancer, Supramarginal gyrus, Inferior temporal gyrus, medicine, Image Processing, Computer-Assisted, Arcuate fasciculus, Humans, Attention, Molecular Biology, resting state, Ecology, Evolution, Behavior and Systematics, Language, Superior longitudinal fasciculus, Precentral gyrus, Brain, Cell Biology, Anatomy, Original Papers, Magnetic Resonance Imaging, White Matter, ventral attention network, 030104 developmental biology, medicine.anatomical_structure, arcuate fasciculus, Nerve Net, 030217 neurology & neurosurgery, Developmental Biology
Abstract

International audience; Resting-state functional MRI (RfMRI) analyses have identified two anatomically separable fronto-parietal attention networks in the human brain: a bilateral dorsal attention network and a right-lateralised ventral attention network (VAN). The VAN has been implicated in visuospatial cognition and, thus, potentially in the unilateral spatial neglect associated with right hemisphere lesions. Its parietal, frontal and temporal endpoints are thought to be structurally supported by undefined white matter tracts. We investigated the white matter tract connecting the VAN. We used three approaches to study the structural anatomy of the VAN: (a) independent component analysis on RfMRI (50 subjects), defining the endpoints of the VAN, (b) tractography in the same 50 healthy volunteers, with regions of interest defined by the MNI coordinates of cortical areas involved in the VAN used in a seed-based approach and (c) dissection, by Klingler's method, of 20 right hemispheres, for ex vivo studies of the fibre tracts connecting VAN endpoints. The VAN includes the temporoparietal junction and the ventral frontal cortex. The endpoints of the superior longitudinal fasciculus in its third portion (SLF III) and the arcuate fasciculus (AF) overlap with the VAN endpoints. The SLF III connects the supramarginal gyrus to the ventral portion of the precentral gyrus and the pars opercularis. The AF connects the middle and inferior temporal gyrus and the middle and inferior frontal gyrus. We reconstructed the structural connectivity of the VAN and considered it in the context if the pathophysiology of unilateral neglect and right hemisphere awake brain surgery.

Published
2020
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4. (Re)organisation of the somatosensory system after early brain lesion: A lateralization index fMRI study

Author

Matthieu Labriffe, Pauline Ali, Eva Chinier, Jean-Michel Lemée, Aram Ter Minassian, Mickael Dinomais, Design and Application of Innovative Local Treatments in Glioblastoma (CRCINA-ÉQUIPE 17), Centre de Recherche en Cancérologie et Immunologie Nantes-Angers (CRCINA), 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)-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), Centre Hospitalier Universitaire d'Angers (CHU Angers), PRES Université Nantes Angers Le Mans (UNAM), Département de Neuro-Radiologie [Angers] (DNR - Angers), PRES Université Nantes Angers Le Mans (UNAM)-PRES Université Nantes Angers Le Mans (UNAM), Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), Université d'Angers (UA), and CCSD, Accord Elsevier

Subjects
030506 rehabilitation, medicine.medical_specialty, Plasticity, [SDV]Life Sciences [q-bio], Sensory system, Thumb, Audiology, Significant negative correlation, Somatosensory system, Sensory function, Lateralization of brain function, Cerebral palsy, 03 medical and health sciences, 0302 clinical medicine, medicine, Humans, Orthopedics and Sports Medicine, Functional MRI, Cerebral Cortex, Lateralization index, business.industry, Cerebral Palsy, Rehabilitation, Somatosensory Cortex, medicine.disease, Magnetic Resonance Imaging, [SDV] Life Sciences [q-bio], medicine.anatomical_structure, Brain lesion, Brain lesions, 0305 other medical science, business, 030217 neurology & neurosurgery
Abstract

Objective To evaluate the relationship between neural (re)organization of the somatosensory cortex and impairment of sensory function (2-point discrimination [2PD]) in individuals with unilateral cerebral palsy. Methods We included 21 individuals with unilateral cerebral palsy. 2PD thresholds were evaluated on thumb pads, and activation of the somatosensory cortex was recorded by functional MRI (fMRI) during passive movements of the affected hand. A lateralization index (LI) was calculated for the primary sensory (S1) and secondary sensory (S2) cortices and the correlation between the LI and 2PD thresholds was analysed. Results We found a significant negative correlation between the 2PD thresholds and the S2 LI (r = −0.5, one-tailed P-value = 0.01) and a trend towards a negative correlation with the S1 LI (r = −0.4, one-tailed P-value = 0.05). Conclusion High levels of activation in the contralesional hemisphere were associated with high levels of sensory impairment in individuals with unilateral cerebral palsy. The interhemispheric (re)organization of the somatosensory system may not effectively compensate for somatosensory impairment.

Published
2019
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5. Brain Activity during Mental Imagery of Gait Versus Gait-Like Plantar Stimulation: A Novel Combined Functional MRI Paradigm to Better Understand Cerebral Gait Control

Author

Olivier Beauchet, Louis-Marie Leiber, Cédric Annweiler, Marc-Antoine Custaud, L.E. Amirova, Matthieu Labriffe, Aram Ter Minassian, Mickaël Dinomais, Guillemette Gauquelin-Koch, Département de Neuro-Radiologie [Angers] (DNR - Angers), Centre Hospitalier Universitaire d'Angers (CHU Angers), PRES Université Nantes Angers Le Mans (UNAM)-PRES Université Nantes Angers Le Mans (UNAM), Service de médecine interne et gérontologie clinique [Angers], Université d'Angers (UA)-Centre Hospitalier Universitaire d'Angers (CHU Angers), Biologie Neurovasculaire et Mitochondriale Intégrée (BNMI), Université d'Angers (UA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Russian Academy of Sciences [Moscow] (RAS), Centre National d'Études Spatiales [Toulouse] (CNES), Service d'anesthésie et réanimation chirurgicale, Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), Université d'Angers (UA), Département de Médecine Interne et Gérontologie clinique, PRES Université Nantes Angers Le Mans (UNAM), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université d'Angers (UA), and Gerard, Marie-Françoise

Subjects
Ventrolateral prefrontal cortex, Brain activity and meditation, [SDV]Life Sciences [q-bio], Precuneus, 050105 experimental psychology, Premotor cortex, 03 medical and health sciences, Behavioral Neuroscience, walking, 0302 clinical medicine, Gait (human), supplementary motor area, Neuroimaging, medicine, 0501 psychology and cognitive sciences, sensorimotor cortex, Biological Psychiatry, Original Research, mental imagery, Supplementary motor area, Secondary somatosensory cortex, 05 social sciences, [SDV] Life Sciences [q-bio], locomotion, Psychiatry and Mental health, Neuropsychology and Physiological Psychology, medicine.anatomical_structure, Neurology, Psychology, Neuroscience, human activities, 030217 neurology & neurosurgery
Abstract

International audience; Human locomotion is a complex sensorimotor behavior whose central control remains difficult to explore using neuroimaging method due to technical constraints, notably the impossibility to walk with a scanner on the head and/or to walk for real inside current scanners. The aim of this functional Magnetic Resonance Imaging (fMRI) study was to analyze interactions between two paradigms to investigate the brain gait control network: (1) mental imagery of gait, and (2) passive mechanical stimulation of the plantar surface of the foot with the Korvit boots. The Korvit stimulator was used through two different modes, namely an organized ("gait like") sequence and a destructured (chaotic) pattern. Eighteen right-handed young healthy volunteers were recruited (mean age, 27 ± 4.7 years). Mental imagery activated a broad neuronal network including the supplementary motor area-proper (SMA-proper), pre-SMA, the dorsal premotor cortex, ventrolateral prefrontal cortex, anterior insula, and precuneus/superior parietal areas. The mechanical plantar stimulation activated the primary sensorimotor cortex and secondary somatosensory cortex bilaterally. The paradigms generated statistically common areas of activity, notably bilateral SMA-proper and right pre-SMA, highlighting the potential key role of SMA in gait control. There was no difference between the organized and chaotic Korvit sequences, highlighting the difficulty of developing a walking-specific plantar stimulation paradigm. In conclusion, this combined-fMRI paradigm combining mental imagery and gait-like plantar stimulation provides complementary information regarding gait-related brain activity and appears useful for the assessment of high-level gait control.

Published
2017
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6. Overestimation of moderate carotid stenosis assessed by both Doppler US and contrast enhanced 3D-MR angiography in the CARMEDAS study

Author

A. Pasco-Papon, Jean-Yves Gauvrit, Jean Michel Serfaty, Philippe Douek, Michel Nonent, J.-O. Fortrat, X. Papon, Valérie Buthion, C. Pachai, Y. Le Bras, A Badra, Luc Bressollette, D. Ben Salem, J.-P. Cottier, C. Rotaru, Jérôme Berge, Pierre Gouny, Groupe d'Etude de la Thrombose de Bretagne Occidentale (GETBO), Université de Brest (UBO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Brestois Santé Agro Matière (IBSAM), Université de Brest (UBO)-Université de Brest (UBO), Département de radiologie [Brest] (DR - Brest), Centre Hospitalier Régional Universitaire de Brest (CHRU Brest), Département de Radiologie [Bichat] (DR- 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), Health System Analysis Laboratory (GATE), Université de Lyon, Département de Neuro-Radiologie [Angers] (DNR - Angers), Centre Hospitalier Universitaire d'Angers (CHU Angers), PRES Université Nantes Angers Le Mans (UNAM)-PRES Université Nantes Angers Le Mans (UNAM), 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), Département de Médecine Interne et Pneumologie [Brest] (DMIP - Brest), Département de Chirurgie Vasculaire [Angers] (DCV - Angers), Bioclinica SAS (B SAS), Bioclinica SAS, Département d'Angiologie [Angers] (DA - Angers), Service de chirurgie thoracique et cardio vasculaire [Brest] (CCTV - Brest), Département de Neuro-Radiologie [Bordeaux] (DNR - Bordeaux), CHU Bordeaux [Bordeaux], Département de Radiologie [Niort] (DR - Niort), CH Niort, Vision, Action et Gestion d'informations en Santé (VisAGeS), 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)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-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)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-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)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Service de radiologie et imagerie médicale [Rennes] = Radiology [Rennes], CHU Pontchaillou [Rennes], Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE), 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 Brest (UBO)-Institut Brestois Santé Agro Matière (IBSAM), 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), 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), CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Université de Bretagne Sud (UBS)-Centre National de la Recherche Scientifique (CNRS)-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)-CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École normale supérieure - Rennes (ENS Rennes)-Université de Bretagne Sud (UBS)-Centre National de la Recherche Scientifique (CNRS)-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), and 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)

Subjects
Male, Contrast Media, MESH: Magnetic Resonance Angiography, Magnetic resonance angiography, 030218 nuclear medicine & medical imaging, 0302 clinical medicine, MESH: Aged, 80 and over, MESH: Carotid Stenosis, Contrast (vision), Carotid Stenosis, media_common, Aged, 80 and over, MESH: Aged, MESH: Middle Aged, Radiological and Ultrasound Technology, medicine.diagnostic_test, Middle Aged, MESH: Predictive Value of Tests, Predictive value of tests, cardiovascular system, Female, Radiology, medicine.medical_specialty, media_common.quotation_subject, MESH: Imaging, Three-Dimensional, Sensitivity and Specificity, 03 medical and health sciences, Imaging, Three-Dimensional, Predictive Value of Tests, MESH: Contrast Media, Image Interpretation, Computer-Assisted, medicine, Humans, Radiology, Nuclear Medicine and imaging, cardiovascular diseases, Aged, MESH: Humans, business.industry, Mr angiography, Ultrasonography, Doppler, Digital subtraction angiography, medicine.disease, MESH: Sensitivity and Specificity, MESH: Male, Stenosis, Angiography, MESH: Ultrasonography, Doppler, Neurology (clinical), Doppler ultrasound, business, MESH: Female, MESH: Image Interpretation, Computer-Assisted, Magnetic Resonance Angiography, 030217 neurology & neurosurgery, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract

International audience; PURPOSE: To evaluate the agreement and diagnostic accuracy of Contrast enhanced magnetic resonance angiography (CE-MRA), Doppler ultrasound (DUS) and Digital subtraction angiography (DSA) in the assessment of carotid stenosis. METHODS: DUS, CE-MRA and DSA were performed in 56 patients included in the Carotide-angiographie par résonance magnétique-échographie-doppler-angioscanner (CARMEDAS) multicenter study with a carotid stenosis ≥ 50%. Three readers evaluated stenoses on CE-MRA and DSA (NASCET criteria). Velocities criteria were used for stenosis estimation on DUS. RESULTS: CE-MRA had a sensitivity and specificity of 96-98% and 66-83% respectively for carotid stenoses ≥ 50% and a sensitivity and specificity of 94% and 76-84% respectively for carotid stenoses ≥ 70%. The interobserver agreement of CE-MRA was excellent, except for moderate stenoses (50-69%). DUS had a sensitivity and specificity of 88 and 75% respectively for carotid stenoses ≥ 50% and a sensitivity and specificity of 83 and 86% respectively for carotid stenoses ≥ 70%. Combined concordant CE-MRA and DUS had a sensitivity and specificity of 100 and 85-90% respectively for carotid stenoses ≥ 50% and a sensitivity and specificity of 96-100% and 80-87% respectively for carotid stenoses ≥ 70%. The positive predictive value of the association CE-MRA and DUS for carotid stenoses ≥ 70% is calculated between 77 and 82% while the negative predictive value is calculated between 97 and 100%. CE-MRA and DUS have concordant findings in 63-72%, and the overestimations cases were recorded only for carotid stenosis ≤ 69%. CONCLUSION: Combined DUS-CE-MRA is excellent for evaluation of severe stenosis but remains debatable in moderate stenosis (50-69%) due to the risk of overestimations.

Published
2011
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7. Concordance de la TEP au 18FDG double phase avec le grade histologique des tumeurs cérébrales

Author

Blaire, T., Jeanguillaume, Christian, Menei, P., Michalak, S., Delhaye, M., Morel, O., Metrard, Gilles, Pasco-Papon, A., Rakotonirina, H., Lejeune, J.J., Laboratoire d'Ingéniérie des Systèmes Automatisés (LISA), Université d'Angers (UA), Département d'Informatique [Bruxelles] (ULB), Faculté des Sciences [Bruxelles] (ULB), Université libre de Bruxelles (ULB)-Université libre de Bruxelles (ULB), Département de Neuro-Radiologie [Angers] (DNR - Angers), Centre Hospitalier Universitaire d'Angers (CHU Angers), PRES Université Nantes Angers Le Mans (UNAM)-PRES Université Nantes Angers Le Mans (UNAM), and Gerard, Marie-Françoise

Subjects
ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2006

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