30 results on '"Carsin-Nicol, Béatrice"'
Search Results
2. Intracavernous Schwannoma Characterized With 18F-FDG, 68Ga-DOTATOC, and 18F-Choline PET
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Farce, Julien, Lecouillard, Isabelle, Carsin Nicol, Béatrice, Bretonnier, Maxime, and Girard, Antoine
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- 2022
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3. Pathologic and MRI analysis in acute atypical inflammatory demyelinating lesions
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Ayrignac, Xavier, Rigau, Valérie, Lhermitte, Benoit, Vincent, Thierry, de Champfleur, Nicolas Menjot, Carra-Dalliere, Clarisse, Charif, Mahmoud, Collongues, Nicolas, de Seze, Jérôme, Hebbadj, Sonia, Ahle, Guido, Oesterlé, Hélène, Cotton, François, Durand-Dubief, Françoise, Marignier, Romain, Vukusic, Sandra, Taithe, Frédéric, Cohen, Mikael, Guennoc, Anne-Marie, Kerbrat, Anne, Edan, Gilles, Carsin-Nicol, Béatrice, Allou, Thibaut, Sablot, Denis, Thouvenot, Eric, Ruet, Aurélie, Magy, Laurent, Boncoeur-Martel, Marie-Paule, Labauge, Pierre, and Kremer, Stéphane
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- 2019
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4. Cerebral perfusion using ASL in patients with COVID-19 and neurological manifestations: A retrospective multicenter observational study
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Ardellier, François-Daniel, primary, Baloglu, Seyyid, additional, Sokolska, Magdalena, additional, Noblet, Vincent, additional, Lersy, François, additional, Collange, Olivier, additional, Ferré, Jean-Christophe, additional, Maamar, Adel, additional, Carsin-Nicol, Béatrice, additional, Helms, Julie, additional, Schenck, Maleka, additional, Khalil, Antoine, additional, Gaudemer, Augustin, additional, Caillard, Sophie, additional, Pottecher, Julien, additional, Lefèbvre, Nicolas, additional, Zorn, Pierre-Emmanuel, additional, Matthieu, Muriel, additional, Brisset, Jean Christophe, additional, Boulay, Clotilde, additional, Mutschler, Véronique, additional, Hansmann, Yves, additional, Mertes, Paul-Michel, additional, Schneider, Francis, additional, Fafi-Kremer, Samira, additional, Ohana, Mickael, additional, Meziani, Ferhat, additional, Meyer, Nicolas, additional, Yousry, Tarek, additional, Anheim, Mathieu, additional, Cotton, François, additional, Jäger, Hans Rolf, additional, Kremer, Stéphane, additional, Bonneville, Fabrice, additional, Adam, Gilles, additional, Martin-Blondel, Guillaume, additional, Pariente, Jérémie, additional, Geeraerts, Thomas, additional, Oesterlé, Hélène, additional, Bolognini, Federico, additional, Messie, Julien, additional, Hmeydia, Ghazi, additional, Benzakoun, Joseph, additional, Oppenheim, Catherine, additional, Constans, Jean-Marc, additional, Metanbou, Serge, additional, Heintz, Adrien, additional, Bapst, Blanche, additional, Megdiche, Imen, additional, Jager, Lavinia, additional, Nesser, Patrick, additional, Mba, Yannick Talla, additional, Tourdias, Thomas, additional, Coutureau, Juliette, additional, Hemmert, Céline, additional, Feuerstein, Philippe, additional, Sebag, Nathan, additional, Carre, Sophie, additional, Alleg, Manel, additional, Lecocq, Claire, additional, Schmitt, Emmanuel, additional, Anxionnat, René, additional, Zhu, François, additional, Forestier, Géraud, additional, Rouchaud, Aymeric, additional, Comby, Pierre-Olivier, additional, Ricolfi, Frederic, additional, Thouant, Pierre, additional, Grand, Sylvie, additional, Krainik, Alexandre, additional, de Beaurepaire, Isaure, additional, Bornet, Grégoire, additional, Lacalm, Audrey, additional, Miailhes, Patrick, additional, Pique, Julie, additional, Boutet, Claire, additional, Fabre, Xavier, additional, Claise, Béatrice, additional, Mirafzal, Sonia, additional, Calvet, Laure, additional, Desal, Hubert, additional, Berge, Jérome, additional, Boulouis, Grégoire, additional, Kazemi, Apolline, additional, Pyatigorskaya, Nadya, additional, Lecler, Augustin, additional, Saleme, Suzana, additional, Edjlali-Goujon, Myriam, additional, Kerleroux, Basile, additional, Brisset, Jean-Christophe, additional, and Chenaf, Samir, additional
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- 2023
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5. The emerging role of brain Magnetic Resonance Imaging in decision-making for comatose type A acute aortic dissection.
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PLUCHON, Kevin, primary, BORCHIELLINI, Paul, additional, CARSIN-NICOL, Béatrice, additional, DOLLFUS, Apolline, additional, and Anselmi, Amedeo, additional
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- 2022
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6. UTILITÉ D'UN OUTIL DE FUSION D'IMAGE AVEC CODAGE COULEUR AUTOMATISÉ (FIACC) POUR LE SUIVI DES MODIFICATIONS DES MÉNINGIOMES INTRACRÂNIENS IRRADIÉS À L'AIDE D'UNE SÉQUENCE PONDÉRÉE T1 INJECTÉE AVEC SATURATION DE LA GRAISSE.
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VOISIN, Steven, LASSALLE, Nicolas, LECOUILLARD, Isabelle, FEUNTEUN, Marine LE, CARSIN-NICOL, Béatrice, and FERRE, Jean-Christophe
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- 2024
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7. Intracavernous Schwannoma Characterized With 18F-FDG, 68Ga-DOTATOC, and 18F-Choline PET
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Farce, Julien, primary, Lecouillard, Isabelle, additional, Carsin Nicol, Béatrice, additional, Bretonnier, Maxime, additional, and Girard, Antoine, additional
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- 2021
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8. Primary gliomatosis cerebri involving gray matter in pediatrics: a distinct entity? A multicenter study of 14 cases
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Chappé, Céline, Riffaud, Laurent, Tréguier, Catherine, Carsin-Nicol, Béatrice, Veillard, David, Chiforeanu, Dan Cristian, Grill, Jacques, Frappaz, Didier, André, Nicolas, Millot, Fréderic, Vinchon, Matthieu, Sirvent, Nicolas, and Edan, Christine
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- 2013
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9. Neurologic and neuroimaging findings in patients with COVID-19
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Kremer, Stéphane, primary, Lersy, François, additional, Anheim, Mathieu, additional, Merdji, Hamid, additional, Schenck, Maleka, additional, Oesterlé, Hélène, additional, Bolognini, Federico, additional, Messie, Julien, additional, Khalil, Antoine, additional, Gaudemer, Augustin, additional, Carré, Sophie, additional, Alleg, Manel, additional, Lecocq, Claire, additional, Schmitt, Emmanuelle, additional, Anxionnat, René, additional, Zhu, François, additional, Jager, Lavinia, additional, Nesser, Patrick, additional, Mba, Yannick Talla, additional, Hmeydia, Ghazi, additional, Benzakoun, Joseph, additional, Oppenheim, Catherine, additional, Ferré, Jean-Christophe, additional, Maamar, Adel, additional, Carsin-Nicol, Béatrice, additional, Comby, Pierre-Olivier, additional, Ricolfi, Frédéric, additional, Thouant, Pierre, additional, Boutet, Claire, additional, Fabre, Xavier, additional, Forestier, Géraud, additional, de Beaurepaire, Isaure, additional, Bornet, Grégoire, additional, Desal, Hubert, additional, Boulouis, Grégoire, additional, Berge, Jérome, additional, Kazémi, Apolline, additional, Pyatigorskaya, Nadya, additional, Lecler, Augustin, additional, Saleme, Suzana, additional, Edjlali-Goujon, Myriam, additional, Kerleroux, Basile, additional, Constans, Jean-Marc, additional, Zorn, Pierre-Emmanuel, additional, Mathieu, Muriel, additional, Baloglu, Seyyid, additional, Ardellier, François-Daniel, additional, Willaume, Thibault, additional, Brisset, Jean-Christophe, additional, Caillard, Sophie, additional, Collange, Olivier, additional, Mertes, Paul Michel, additional, Schneider, Francis, additional, Fafi-Kremer, Samira, additional, Ohana, Mickael, additional, Meziani, Ferhat, additional, Meyer, Nicolas, additional, Helms, Julie, additional, and Cotton, François, additional
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- 2020
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10. Histiocytose d’Erdheim Chester à révélation neurologique
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Daelman, Laure, primary, Carsin-Nicol, Béatrice, additional, and Lorléac’h, Aurélien, additional
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- 2019
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11. CT angiography for one-year follow-up of intracranial aneurysms treated with the WEB device: Utility in evaluating aneurysm occlusion and WEB compression at one year
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Raoult, Hélène, primary, Eugène, François, additional, Le Bras, Anthony, additional, Mineur, Géraldine, additional, Carsin-Nicol, Béatrice, additional, Ferré, Jean-Christophe, additional, and Gauvrit, Jean-Yves, additional
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- 2018
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12. Comparaison de la séquence sagittale Phase-Sensitive T1 Inversion Recovery (PSIR) avec la séquence sagittale Spin Echo T2 en IRM médullaire à 3 T dans la sclérose en plaques : étude multi-centrique
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Rojat-Rieul, Gabrielle, primary, Carsin-Nicol, Béatrice, additional, Bannier, lise, additional, Bajeux, Emma, additional, Hamonic, Stéphanie, additional, Kerbrat, Anne, additional, and Ferré, Jean-Christophe, additional
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- 2018
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13. Brain MRI Findings in Severe COVID-19: A Retrospective Observational Study
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Kremer, Stéphane, Lersy, François, Sèze, Jérome de, Ferré, Jean-Christophe, Maamar, Adel, Carsin-Nicol, Béatrice, Collange, Olivier, Bonneville, Fabrice, Adam, Gilles, Martin-Blondel, Guillaume, Rafiq, Marie, Geeraerts, Thomas, Delamarre, Louis, Grand, Sylvie, and Krainik, Alexandre
- Abstract
Eight distinctive neuroradiologic patterns (excluding ischemic infarcts) were identified in patients with severe coronavirus disease 2019 infection and abnormal brain MRI findings.
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- 2020
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14. Diagnostic Value of Fractal Analysis for the Differentiation of Brain Tumors Using 3-Tesla Magnetic Resonance Susceptibility-Weighted Imaging
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Di Ieva, Antonio, primary, Le Reste, Pierre-Jean, additional, Carsin-Nicol, Béatrice, additional, Ferre, Jean-Christophe, additional, and Cusimano, Michael D., additional
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- 2016
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15. Acute Neurologic Disorder from an Inhibitor of Fatty Acid Amide Hydrolase
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Kerbrat, Anne, primary, Ferré, Jean-Christophe, additional, Fillatre, Pierre, additional, Ronzière, Thomas, additional, Vannier, Stéphane, additional, Carsin-Nicol, Béatrice, additional, Lavoué, Sylvain, additional, Vérin, Marc, additional, Gauvrit, Jean-Yves, additional, Le Tulzo, Yves, additional, and Edan, Gilles, additional
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- 2016
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16. Supra-aortic arteries: Three-dimensional time-resolved k-t BLAST contrast-enhanced MRA using a nondedicated body coil at 3 tesla in acute ischemic stroke
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Ferré, Jean-Christophe, Raoult, Hélène, Breil, Stéphane, Carsin-Nicol, Béatrice, Ronzière, Thomas, Gauvrit, Jean-Yves, 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), 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), Service de radiologie et imagerie médicale [Rennes] = Radiology [Rennes], CHU Pontchaillou [Rennes], Philips Healthcare, Hôpital Foch [Suresnes], Service de Neurologie [Rennes] = Neurology [Rennes], 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), and Ferré, Jean-Christophe
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Adult ,Brain Infarction ,Male ,Contrast Media ,contrast-enhanced MRA ,time-resolved ,Aortography ,Sensitivity and Specificity ,Imaging, Three-Dimensional ,Meglumine ,Image Interpretation, Computer-Assisted ,Organometallic Compounds ,Humans ,Carotid Stenosis ,[SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC] ,Prospective Studies ,ComputingMilieux_MISCELLANEOUS ,Aged ,Aged, 80 and over ,Middle Aged ,Image Enhancement ,stroke ,Cerebral Angiography ,MRA ,Female ,[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC] ,Magnetic Resonance Angiography - Abstract
To assess the image quality and diagnostic performance achieved by using supra-aortic 3D-TR-CE-k-t BLAST MRA and a nondedicated body coil as compared with conventional CE-MRA in patients with acute ischemic stroke.In this prospective study, 36 consecutive patients with a suspected acute ischemic stroke underwent both k-t BLAST MRA and conventional CE-MRA. Image quality was assessed using visual and quantitative criteria and the techniques were compared. Both techniques were compared for degree of visual and quantitative measurement of carotid stenosis.Delineation of vessel lumen and overall diagnostic confidence were significantly better with CE-MRA, respectively 3.4 ± 0.5 and 3.3 ± 0.6 (mean score ± SD), than with k-t BLAST MRA, respectively 2.8 ± 0.4 and 2.9 ± 0.5 (P 0.02). SNR and CNR were significantly higher for k-t BLAST MRA, respectively 33.5 ± 19.3 and 27.9 ± 19.3, than for CE-MRA, respectively 25.7 ± 10 and 20.4 ± 8.4 (P 0.03). Intertechnique agreement was good for carotid stenosis characterization (κ = .763). For the 14 relevant stenosis, stenosis measurements were highly correlated between techniques (0.96; P 0.0001). The Bland-Altman plot showed a low bias in assessment of the degree of stenosis (mean bias 2.1% ± 7.7).k-t BLAST MRA using a nondedicated coil offering and dynamic information was a effective diagnostic tool for detection and characterization of carotid stenosis.
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- 2014
17. Spinal cord involvement in posterior reversible encephalopathy syndrome (PRES)
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Ract, Isabelle, primary, Poujade, Adrien, additional, Carsin-Nicol, Béatrice, additional, Mouriaux, Frédéric, additional, and Ferré, Jean-Christophe, additional
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- 2016
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18. Imagerie par résonance magnétique chez les patients porteurs de stimulateurs cardiaques et de défibrillateurs automatiques implantables : revue de la littérature. [Magnetic resonance imaging in patients with pacemakers and implantable cardioverter-defibrillators: a systematic review]
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Martins, Raphaël P, Baruteau, A.-E., Treguer, F., Césari, O., Carsin-Nicol, Béatrice, Langella, B., Leclercq, Christophe, Daubert, Jean-Claude, Mabo, Philippe, Laboratoire Traitement du Signal et de l'Image (LTSI), 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), Service de cardiologie et maladies vasculaires [Rennes] = Cardiac, Thoracic, and Vascular Surgery [Rennes], CHU Pontchaillou [Rennes], CIC-IT Rennes, Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de cardiologie [Angers], Centre Hospitalier Universitaire d'Angers (CHU Angers), PRES Université Nantes Angers Le Mans (UNAM)-PRES Université Nantes Angers Le Mans (UNAM), Service de radiologie et imagerie médicale [Rennes] = Radiology [Rennes], and Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)
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MESH: Humans ,Défibrillateur automatique implantable ,MESH: Cardiovascular Diseases ,Sécurité ,MESH: Risk Assessment ,MESH: Defibrillators, Implantable ,MESH: Electromagnetic Fields ,MESH: Equipment Safety ,Interférence électromagnétique ,MESH: Magnetic Resonance Imaging ,Stimulateur cardiaque ,[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing ,[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system ,MESH: Risk Factors ,Imagerie par résonance magnétique ,MESH: Pacemaker, Artificial ,MESH: Patient Selection ,[SDV.IB]Life Sciences [q-bio]/Bioengineering ,[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing ,MESH: Evidence-Based Medicine - Abstract
International audience; The presence of a pacemaker or an implantable cardioverter-defibrillator was historically considered a contraindication to magnetic resonance imaging (MRI), due to the risks for both patient and device: reed-switch closure responsible for asynchronous pacing, inhibition of pacing, rapid ventricular pacing, heating on the lead tip or even device displacement... However, many recent studies demonstrate that if MRI is crucial for the management of the patient, it can be performed under specific monitoring and scanning conditions and after device reprogramming. The growing implication of device constructors in constructing a MRI safety device will perhaps extend in the future the indications of this imaging modality in implanted patients.
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- 2010
19. [Imaging of subarachnoid hemorrhage]
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Gauvrit, Jean-Yves, Leclerc, Xavier, Ferre, Jean-Christophe, Taschner, Christian A., Carsin-Nicol, Béatrice, Auffray-Calvier, E., Morandi, Xavier, Carsin, Michel, Service de radiologie et imagerie médicale [Rennes] = Radiology [Rennes], CHU Pontchaillou [Rennes], 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), Departement de Neuroradiologie [Lille], Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Service de neurochirurgie [Rennes] = Neurosurgery [Rennes], Service de neurologie [Nantes], Université de Nantes (UN)-Centre hospitalier universitaire de Nantes (CHU Nantes)-Hôpital Guillaume-et-René-Laennec [Saint-Herblain], 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), and Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)
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[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH] ,cardiovascular system ,cardiovascular diseases ,nervous system diseases - Abstract
International audience; Even if acute subarachnoid hemorrhage (SAH) accounts for only 5% of strokes, its diagnosis is very important because its clinical consequences can be tragic. Recent technological advances in medical imaging have improved diagnostic and therapeutic management of patients with SAH. Nonenhanced CT of the head is the initial imaging modality in suspected SAH for the detection of ruptured intracranial aneurysms. Digital subtraction angiography (DSA) remains the reference exam. Multidetector row CT angiography may potentially replace DSA in the emergency setting, as it provides image data that allows evaluating aneurysmal morphology, the neck size or the visualization of vessels in the vicinity of the aneurysm. For SAH unrelated to aneurysm rupture (15% of cases), MRI and MRA can be added to the diagnostic work-up in order to exclude other differential diagnoses such as venous thrombosis or angiitis. Finally, transcranial color-coded duplex sonography, CT, or MRI are used in clinical practice in order to detect aggravating factors of SAH like hydrocephalus or vasospasm.
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- 2009
20. Intracavernous Schwannoma Characterized With 18 F-FDG, 68 Ga-DOTATOC, and 18 F-Choline PET.
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Farce, Julien, Lecouillard, Isabelle, Carsin Nicol, Béatrice, Bretonnier, Maxime, and Girard, Antoine
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- 2022
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- View/download PDF
21. Dural plasmacytoma revealing multiple myeloma. Case report.: Dural plasmacytoma revealing multiple myeloma. Case report
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Haegelen, Claire, Riffaud, Laurent, Bernard, Marc, Carsin-Nicol, Béatrice, Morandi, Xavier, Service de neurochirurgie [Rennes] = Neurosurgery [Rennes], CHU Pontchaillou [Rennes], 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), 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), 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), and Quentin, Aurore
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[SDV.IB] Life Sciences [q-bio]/Bioengineering ,musculoskeletal diseases ,MESH: Aged ,MESH: Peritonitis ,MESH: Humans ,MESH: Infant, Newborn ,MESH: Adult ,MESH: Amniotic Fluid ,MESH: Biopsy ,MESH: Pregnancy ,MESH: Erythroblastosis, Fetal ,MESH: Bilirubin ,MESH: Cranio ,MESH: Meconium ,MESH: Bone Marrow ,[SDV.IB]Life Sciences [q-bio]/Bioengineering ,MESH: Intestinal Perforation ,MESH: Prenatal Diagnosis ,MESH: Colon ,MESH: Diseases in Twins ,MESH: Intestinal Obstruction ,MESH: Female - Abstract
article clinique; The authors describe the case of a 72-year-old woman with dural plasmacytoma revealing an immunoglobulin (Ig) G-kappa multiple myeloma (MM). She presented with headaches and left hemiparesis. Magnetic resonance imaging demonstrated a right frontal extraaxial lesion arising from the dura mater, and biological studies revealed hypercalcemia, hyperproteinemia, and a serum gamma globulin peak. A diagnosis of IgG-kappa MM was based on microscopic examination and immunohistochemical analysis of the dural plasmacytoma as well as on signs of systemic myeloma after surgery. The patient died 3 years after the first symptoms of MM despite systemic chemotherapy and no recurrence of the dural plasmacytoma. Myelomatous involvement of the dura mater is a rare occurrence given that only three cases have been reported to date. Nevertheless, this pathological entity should be differentiated from solitary dural plasmacytoma (SDP) because the prognosis is radically different. Progression seems to be correlated with systemic disease in contrast to the long-term survival associated with SDP. Careful systemic evaluation should be made in such a presentation to rule out MM, which would require different management and has a different prognosis.
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- 2006
22. Endoscopic third ventriculostomy for the treatment of obstructive hydrocephalus during pregnancy
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Riffaud, Laurent, Ferré, Jean-Christophe, Carsin-Nicol, Béatrice, Morandi, Xavier, Quentin, Aurore, Service de neurochirurgie [Rennes] = Neurosurgery [Rennes], CHU Pontchaillou [Rennes], 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), and 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)
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[SDV.IB] Life Sciences [q-bio]/Bioengineering ,MESH: Humans ,MESH: Hydrocephalus ,MESH: Adult ,MESH: Equipment Failure ,MESH: Pregnancy Outcome ,MESH: Seizures ,MESH: Ventriculos ,MESH: Endoscopy ,MESH: Magnetic Resonance Imaging ,MESH: Pregnancy ,MESH: Ventriculoperitoneal Shunt ,MESH: Pregnancy Complications ,MESH: Gestational Age ,[SDV.IB]Life Sciences [q-bio]/Bioengineering ,MESH: Female ,MESH: Third Ventricle ,MESH: Treatment Outcome - Abstract
BACKGROUND: Endoscopic third ventriculostomy is an effective procedure for treating obstructive (noncommunicating) hydrocephalus as an alternative to ventricular shunt placement. CASE: Five pregnant women undergoing endoscopic third ventriculostomy as treatment for newly diagnosed acute obstructive hydrocephalus (n=2) or in cases of malfunction of a preexisting ventriculoperitoneal shunt (n=3) are presented. CONCLUSION: Endoscopic third ventriculostomy may be preferred to ventricular shunt placement as the initial mode of treatment for pregnant patients with newly diagnosed obstructive hydrocephalus as well as in cases of malfunction of a preexisting shunt.
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- 2006
23. Segmentation automatique des lésions de sclérose en plaques sur des études longitudinales d'IRM multi-séquences
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Aït-Ali, Laure, Prima, Sylvain, Carsin-Nicol, Béatrice, Morissey, Sean, Carsin, Michel, Barillot, Christian, Edan, Gilles, 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 neurologie [Rennes], Université de Rennes (UR), 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), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Aït-Ali, Laure, 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)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-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)-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), and 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)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)
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[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] ,[SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging ,[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging ,[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] - Abstract
La sclérose en plaques (SEP) est une maladie inflammatoire auto-immune du système nerveux central. Des marqueurs cliniques sont utilisés aujourd'hui pour le diagnostic et pour l'évaluation thérapeutique. Cependant ces marqueurs sont subjectifs et sujets à une grande variabilité intra- et inter-observateur. L'imagerie par résonance magnétique (IRM) devient donc un examen complémentaire indispensable pour une meilleure compréhension de la maladie. Dans le but d'automatiser un processus long et fastidieux pour le neuroradiologue et le neurologue, nous proposons de segmenter de façon automatique les lésions de SEP au cours du temps dans des séquences longitudinales d'IRM multimodales. Dans un premier temps, nous modélisons le caractère spatio-temporel des distributions d'intensités des tissus sains dans un cadre statistique. Puis, nous estimons les paramètres de ce modèle de façon robuste. Dans le même temps, nous détectons les lésions comme étant des données atypique de ce modèle. Enfin, des connaissances a priori sur la forme des lésions en SEP et leurs manifestations en IRM sont introduites pour " filtrer " les régions pertinentes parmi les données atypiques. La méthode est validée quantitativement en utilisant des données avec vérité terrain (le simulateur BrainWeb). Puis l'algorithme est testé sur des données cliniques, trois modalités (T1 avec injection de gadolinium, T2 et densité de proton), quatre à cinq acquisitions au cours du temps selon le protocole. Des mesures quantitatives de similarité ont montré trois avancées majeures. Premièrement, l'utilisation d'une approche multi séquences donne de meilleurs résultats qu'une approche mono séquence. Deuxièmement, l'utilisation d'une approche longitudinale améliore la segmentation. Troisièmement, comparé aux méthodes de segmentation classiques sans réjection de données atypiques, notre algorithme donne de meilleurs résultats. Enfin, sur les données cliniques, notre méthode donne des résultats très prometteurs. Notre prochaine étape sera de validé quantitativement la segmentation sur données cliniques grâce à la segmentation manuelle d'un expert.
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- 2006
24. Improving detection of ischemic lesions at 3Tesla with optimized diffusion-weighted magnetic resonance imaging
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Ract, Isabelle, primary, Ferré, Jean-Christophe, additional, Ronzière, Thomas, additional, Leray, Emmanuelle, additional, Carsin-Nicol, Béatrice, additional, and Gauvrit, Jean-Yves, additional
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- 2014
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25. Supra-aortic arteries: Three-dimensional time-resolved k-t BLAST contrast-enhanced MRA using a nondedicated body coil at 3 tesla in acute ischemic stroke
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Ferré, Jean-Christophe, primary, Raoult, Hélène, additional, Breil, Stéphane, additional, Carsin-Nicol, Béatrice, additional, Ronzière, Thomas, additional, and Gauvrit, Jean-Yves, additional
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- 2013
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26. Time-of-flight MR angiography at 3T versus digital subtraction angiography in the imaging follow-up of 51 intracranial aneurysms treated with coils
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Ferré, Jean-Christophe, primary, Carsin-Nicol, Béatrice, additional, Morandi, Xavier, additional, Carsin, Michel, additional, de Kersaint-Gilly, Axel, additional, Gauvrit, Jean-Yves, additional, and Desal, Hubert-Armand, additional
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- 2009
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27. Comparaison de la séquence sagittale Phase-Sensitive T1 Inversion Recovery (PSIR) avec la séquence sagittale Spin Echo T2 en IRM médullaire à 3T dans la sclérose en plaques : étude multi-centrique
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Rojat-Rieul, Gabrielle, Carsin-Nicol, Béatrice, Bannier, lise, Bajeux, Emma, Hamonic, Stéphanie, Kerbrat, Anne, and Ferré, Jean-Christophe
- Abstract
Comparer les séquences sagittale Phase-Sensitive T1 Inversion Recovery (PSIR) et sagittale Spin Echo T2 (T2SE) en IRM 3T pour la détection de lésions médullaires de sclérose en plaques (SEP), en multicentrique.
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- 2018
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28. Supra-aortic arteries: three-dimensional time-resolved k-t BLAST contrast-enhanced MRA using a nondedicated body coil at 3 tesla in acute ischemic stroke.
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Ferré JC, Raoult H, Breil S, Carsin-Nicol B, Ronzière T, and Gauvrit JY
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- Adult, Aged, Aged, 80 and over, Aortography instrumentation, Cerebral Angiography instrumentation, Female, Humans, Image Enhancement instrumentation, Image Interpretation, Computer-Assisted methods, Imaging, Three-Dimensional instrumentation, Magnetic Resonance Angiography instrumentation, Male, Middle Aged, Prospective Studies, Sensitivity and Specificity, Aortography methods, Brain Infarction diagnosis, Carotid Stenosis diagnosis, Cerebral Angiography methods, Contrast Media, Image Enhancement methods, Imaging, Three-Dimensional methods, Magnetic Resonance Angiography methods, Meglumine, Organometallic Compounds
- Abstract
Purpose: To assess the image quality and diagnostic performance achieved by using supra-aortic 3D-TR-CE-k-t BLAST MRA and a nondedicated body coil as compared with conventional CE-MRA in patients with acute ischemic stroke., Materials and Methods: In this prospective study, 36 consecutive patients with a suspected acute ischemic stroke underwent both k-t BLAST MRA and conventional CE-MRA. Image quality was assessed using visual and quantitative criteria and the techniques were compared. Both techniques were compared for degree of visual and quantitative measurement of carotid stenosis., Results: Delineation of vessel lumen and overall diagnostic confidence were significantly better with CE-MRA, respectively 3.4 ± 0.5 and 3.3 ± 0.6 (mean score ± SD), than with k-t BLAST MRA, respectively 2.8 ± 0.4 and 2.9 ± 0.5 (P < 0.02). SNR and CNR were significantly higher for k-t BLAST MRA, respectively 33.5 ± 19.3 and 27.9 ± 19.3, than for CE-MRA, respectively 25.7 ± 10 and 20.4 ± 8.4 (P < 0.03). Intertechnique agreement was good for carotid stenosis characterization (κ = .763). For the 14 relevant stenosis, stenosis measurements were highly correlated between techniques (0.96; P < 0.0001). The Bland-Altman plot showed a low bias in assessment of the degree of stenosis (mean bias 2.1% ± 7.7)., Conclusion: k-t BLAST MRA using a nondedicated coil offering and dynamic information was a effective diagnostic tool for detection and characterization of carotid stenosis., (© 2013 Wiley Periodicals, Inc.)
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- 2014
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29. Improving detection of ischemic lesions at 3 Tesla with optimized diffusion-weighted magnetic resonance imaging.
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Ract I, Ferré JC, Ronzière T, Leray E, Carsin-Nicol B, and Gauvrit JY
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- Adult, Aged, Aged, 80 and over, Female, Humans, Male, Middle Aged, Observer Variation, Reproducibility of Results, Sensitivity and Specificity, Brain pathology, Brain Ischemia pathology, Diffusion Magnetic Resonance Imaging methods, Image Enhancement methods, Image Interpretation, Computer-Assisted methods
- Abstract
Background and Purpose: This study compared three different combinations of DWI parameters: three and six diffusion imaging directions (3dir and 6dir, respectively) using b=1000 or 2000 s/mm(2) (b1000 or b2000, respectively) to improve detection of recent ischemic lesions at 3 Tesla (3 T)., Materials and Methods: A total of 47 consecutive patients underwent three DWI scans: 3dir b1000; 6dir b1000; and 6dir b2000. Qualitative visual analysis was performed by three readers based on evaluation of the number of lesions, presence of artifacts and diagnostic confidence. Interobserver agreement, sensitivity, specificity, and positive and negative predictive values were calculated., Results: Forty-five lesions were detected by 3dir b1000, 52 by 6dir b1000 and 56 by 6dir b2000 in 30 patients. The additional lesions identified by 6dir b2000 were either small or located in the posterior fossa. Sensitivity with 6dir b2000 was significantly higher than with 3dir b1000 (98.1% vs 77.4%; P<0.05)., Conclusion: At 3 T, 6dir b2000 DWI detected more acute ischemic lesions than 3dir b1000, particularly small lesions and those located in the brain stem., (Copyright © 2013 Elsevier Masson SAS. All rights reserved.)
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- 2014
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30. Anatomical variations of the anterior cerebral arterial circle visualized by multidetector computed tomography angiography: comparison with 3D rotational angiography.
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Ferré JC, Niederberger E, Morandi X, Raoult H, Carsin-Nicol B, and Gauvrit JY
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- Adolescent, Adult, Aged, Aged, 80 and over, Algorithms, Female, Humans, Male, Middle Aged, Reproducibility of Results, Sensitivity and Specificity, Young Adult, Cerebral Angiography methods, Cerebral Arteries abnormalities, Cerebral Arteries diagnostic imaging, Imaging, Three-Dimensional methods, Radiographic Image Enhancement methods, Radiographic Image Interpretation, Computer-Assisted methods, Tomography, X-Ray Computed methods
- Abstract
Objectives: Multidetector computed tomography angiography (MD-CTA) has become the first-line screening technique for patients with subarachnoid hemorrhage not only for detecting aneurysms, but also for providing decisive angioarchitectural information. The anterior cerebral arterial circle (ACAC) is the most common location for anatomical variations and aneurysms. The aim of this study was to assess the diagnostic performance of 64-section MD-CTA in the detection and characterization of anatomical variations of the ACAC compared with three-dimensional rotational angiography (3DRA)., Material and Methods: In 104 patients, MD-CTA and 3DRA images of the internal carotid arteries were independently reviewed by two radiologists for variations, focusing on four arterial segments of the ACAC: the anterior communicating artery (ACoA); the A1 segments; the A2-A4 complexes; and the M1 segments. The percentages of variations detected by MD-CTA and 3DRA were compared using the chi-square test. Characterizations of the variations by MD-CTA compared with 3DRA were evaluated using the kappa statistic., Results: A total of 114 variations in 624 segments (18.3%) were detected by MD-CTA compared with 90 variations in 453 segments (19.9%) by 3DRA. The difference was not significant (P=0.56). In 453 selected segments analyzed with both techniques, 15 discordances in characterization were noted, mostly in the ACoA (10/15). However, the overall intertechnical κ was excellent. Sensitivity, specificity, positive predictive values and negative predictive values were all greater than 90%., Conclusion: The overall diagnostic performance of MD-CTA in detecting anatomical variations of the ACAC was excellent compared with 3DRA. However, its lower spatial resolution led to misclassifications, especially in the ACoA., (Copyright © 2012 Elsevier Masson SAS. All rights reserved.)
- Published
- 2013
- Full Text
- View/download PDF
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