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5. Artificial intelligence to predict clinical disability in patients with multiple sclerosis using FLAIR MRI

Author

Brochet, B., Casey, R., Cotton, F., De Sèze, J., Douek, P., Guillemin, F., Laplaud, D., Lebrun-Frenay, C., Mansuy, L., Moreau, T., Olaiz, J., Pelletier, J., Rigaud-Bully, C., Stankoff, B., Vukusic, S., Marignier, R., Debouverie, M., Edan, G., Ciron, J., Ruet, A., Collongues, N., Lubetzki, C., Vermersch, P., Labauge, P., Defer, G., Cohen, M., Fromont, A., Wiertlewsky, S., Berger, E., Clavelou, P., Audoin, B., Giannesini, C., Gout, O., Thouvenot, E., Heinzlef, O., Al-Khedr, A., Bourre, B., Casez, O., Cabre, P., Montcuquet, A., Créange, A., Camdessanché, J.-P., Faure, J., Maurousset, A., Patry, I., Hankiewicz, K., Pottier, C., Maubeuge, N., Labeyrie, C., Nifle, C., Ameli, R., Anxionnat, R., Attye, A., Bannier, E., Barillot, C., Ben Salem, D., Boncoeur-Martel, M.-P., Bonneville, F., Boutet, C., Brisset, J.-C., Cervenanski, F., Claise, B., Commowick, O., Constans, J.-M., Dardel, P., Desal, H., Dousset, Vincent, Durand-Dubief, F., Ferre, J.-C., Gerardin, E., Glattard, T., Grand, S., Grenier, T., Guillevin, R., Guttmann, C., Krainik, A., Kremer, S., Lion, S., Menjot de Champfleur, N., Mondot, L., Outteryck, O., Pyatigorskaya, N., Pruvo, J.-P., Rabaste, S., Ranjeva, J.-P., Roch, J.-A., Sadik, J.C., Sappey-Marinier, D., Savatovsky, J., Tanguy, J.-Y., Tourbah, A., Tourdias, T., Roca, P., Colas, L., Tucholka, A., Rubini, P., Cackowski, S., Ding, J., Budzik, J.-F., Renard, F., Doyle, S., Barbier, E.L., Bousaid, I., Lassau, N., and Verclytte, S.

Published
2020
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6. New OFSEP recommendations for MRI assessment of multiple sclerosis patients: Special consideration for gadolinium deposition and frequent acquisitions

Author

Ameli, R., Anxionnat, R., Audoin, B., Attye, A., Bannier, E., Barillot, C., Ben Salem, D., Boncoeur-Martel, M.-P., Bonhomme, G., Bonneville, F., Boutet, C., Brisset, J.C., Cervenanski, F., Claise, B., Commowick, O., Constans, J.-M., Cotton, F., Dardel, P., Desal, H., Dousset, V., Durand-Dubief, F., Ferre, J.-C., Gaultier, A., Gerardin, E., Glattard, T., Grand, S., Grenier, T., Guillevin, R., Guttmann, C., Krainik, A., Kremer, S., Lion, S., Champfleur, N. Menjot De, Mondot, L., Outteryck, O., Pyatigorskaya, N., Pruvo, J.-P., Rabaste, S., Ranjeva, J.-P., Roch, J.-A., Sadik, J.-C., Sappey-Marinier, D., Savatovsky, J., Stankoff, B., Tanguy, J.-Y., Tourbah, A., Tourdias, T., Brochet, B., Casey, R., De Sèze, J., Douek, P., Guillemin, F., Laplaud, D., Lebrun-Frenay, C., Mansuy, L., Moreau, T., Olaiz, J., Pelletier, J., Rigaud-Bully, C., Vukusic, S., Debouverie, M., Edan, G., Ciron, J., Lubetzki, C., Vermersch, P., Labauge, P., Defer, G., Berger, E., Clavelou, P., Gout, O., Thouvenot, E., Heinzlef, O., Al-Khedr, A., Bourre, B., Casez, O., Cabre, P., Montcuquet, A., Créange, A., Camdessanché, J.-P., Bakchine, S., Maurousset, A., Patry, I., De Broucker, T., Pottier, C., Neau, J.-P., Labeyrie, C., Nifle, C., Brisset, Jean-Christophe, Kremer, Stephane, Hannoun, Salem, Bonneville, Fabrice, Durand-Dubief, Francoise, Tourdias, Thomas, Barillot, Christian, Guttmann, Charles, Vukusic, Sandra, Dousset, Vincent, and Cotton, Francois

Published
2020
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10. Studying Secondary Ice Production from the perspective of hydrometeors dynamics

Author

Le Roy De Bonneville, F., Hoose, C., Uhlmann, M., and Leisner, T.

Abstract

Ice formation in clouds has long been studied through field measurements and in laboratories under controlled conditions in cloud chambers. It has been observed that the concentration of ice particles exceeds the concentration of suitable ice nuclei particles by several orders of magnitude. This apparent contradiction may be explained by secondary ice production (SIP) via different mechanisms. Up to date, in situ observations and laboratory experiments have been inconclusive in identifying the importance of each of these mechanisms. Therefore, ice multiplication is only very crudely included in cloud models. Another key characteristic of clouds is their turbulent nature. It is already known that turbulence plays a major role in the droplets growth (Grabowski, 2013) but it could also be important for SIP-mechanisms as it affects the hydrometeors dynamics. In this work, direct numerical simulations (DNS) of homogeneous-isotropic turbulence at low Reynolds numbers with point-particle tracking are used to deepen our understanding on SIP. In DNS, the Navier-Stokes equations are solved numerically without any sub-grid turbulence model which means the whole range of spatial and temporal scales of the turbulence is resolved. We focus on SIP mechanisms that involve collisions between particles. Therefore particles characteristics, such as their diameter and concentration, as well as the turbulence intensity, are crucial in describing their movement, their collision rate and whether clusters can form. These information are decisive to estimate the feasibility of the studied mechanism.Reference : Grabowski and Wang (2013). Growth of cloud droplets in a turbulent environment. Annual review of fluid mechanics, The 28th IUGG General Assembly (IUGG2023) (Berlin 2023)

Published
2023
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14. L’injection systématique de gadolinium est-elle nécessaire au cours de la surveillance IRM des macroadénomes hypophysaires non fonctionnels (MHNF) ?

Author

Villemaire, A., primary, Adam, G., additional, Fayolle, H., additional, Cognard, C., additional, Darcourt, J., additional, Roques, M., additional, Patsoura, S., additional, Catalaa, I., additional, Grunenwald, S., additional, Mouly, C., additional, Sol, J.C., additional, Caron, P., additional, and Bonneville, F., additional

Published
2022
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16. Management of Cerebral Venous Thrombosis Due to Adenoviral COVID-19 Vaccination

Author

Scutelnic, A., Krzywicka, K., Mbroh, J., Munckhof, A. van de, Kammen, M.S.V., Sousa, D.A. de, Lindgren, E., Jood, K., Günther, A., Hiltunen, S., Putaala, J., Tiede, A., Maier, F., Kern, R., Bartsch, T., Althaus, K., Ciccone, A., Wiedmann, M., Skjelland, M., Medina, A., Cuadrado-Godia, E., Cox, T., Aujayeb, A., Raposo, N., Garambois, K., Payen, J.F., Vuillier, F., Franchineau, G., Timsit, S., Bougon, D., Dubois, M.C., Tawa, A., Tracol, C., Maistre, E. De, Bonneville, F., Vayne, C., Mengel, A., Michalski, D., Pelz, J., Wittstock, M., Bode, F., Zimmermann, J., Schouten, J., Buture, A., Murphy, S., Palma, V., Negro, A., Gutschalk, A., Nagel, S., Schoenenberger, S., Frisullo, G., Zanferrari, C., Grillo, F., Giammello, F., Martin, M.M., Cervera, A., Burrow, J., Esperon, C.G., Chew, B.L.A., Kleinig, T.J., Soriano, C., Zimatore, D.S., Petruzzellis, M., Elkady, A., Miranda, M.S., Fernandes, J., Vogel, A., Johansson, E., Philip, A.P., Coutts, S.B., Bal, S., Buck, B., Legault, C., Blacquiere, D., Katzberg, H.D., Field, T.S., Dizonno, V., Gattringer, T., Jacobi, C., Devroye, A., Lemmens, R., Kristoffersen, E.S., Poggio, M.B. di, Ghiasian, M., Karapanayiotides, T., Chatterton, S., Wronski, M., Ng, K., Kahnis, R., Geeraerts, T., Reiner, P., Cordonnier, C., Middeldorp, S., Levi, M., Gorp, E.C. van, Beek, D van, Brodard, J., Kremer Hovinga, J.A., Kruip, M., Tatlisumak, T., Poli, S., Heldner, M.R., Scutelnic, A., Krzywicka, K., Mbroh, J., Munckhof, A. van de, Kammen, M.S.V., Sousa, D.A. de, Lindgren, E., Jood, K., Günther, A., Hiltunen, S., Putaala, J., Tiede, A., Maier, F., Kern, R., Bartsch, T., Althaus, K., Ciccone, A., Wiedmann, M., Skjelland, M., Medina, A., Cuadrado-Godia, E., Cox, T., Aujayeb, A., Raposo, N., Garambois, K., Payen, J.F., Vuillier, F., Franchineau, G., Timsit, S., Bougon, D., Dubois, M.C., Tawa, A., Tracol, C., Maistre, E. De, Bonneville, F., Vayne, C., Mengel, A., Michalski, D., Pelz, J., Wittstock, M., Bode, F., Zimmermann, J., Schouten, J., Buture, A., Murphy, S., Palma, V., Negro, A., Gutschalk, A., Nagel, S., Schoenenberger, S., Frisullo, G., Zanferrari, C., Grillo, F., Giammello, F., Martin, M.M., Cervera, A., Burrow, J., Esperon, C.G., Chew, B.L.A., Kleinig, T.J., Soriano, C., Zimatore, D.S., Petruzzellis, M., Elkady, A., Miranda, M.S., Fernandes, J., Vogel, A., Johansson, E., Philip, A.P., Coutts, S.B., Bal, S., Buck, B., Legault, C., Blacquiere, D., Katzberg, H.D., Field, T.S., Dizonno, V., Gattringer, T., Jacobi, C., Devroye, A., Lemmens, R., Kristoffersen, E.S., Poggio, M.B. di, Ghiasian, M., Karapanayiotides, T., Chatterton, S., Wronski, M., Ng, K., Kahnis, R., Geeraerts, T., Reiner, P., Cordonnier, C., Middeldorp, S., Levi, M., Gorp, E.C. van, Beek, D van, Brodard, J., Kremer Hovinga, J.A., Kruip, M., Tatlisumak, T., Poli, S., and Heldner, M.R.

Abstract

Contains fulltext : 282309.pdf (Publisher’s version ) (Open Access), OBJECTIVE: Cerebral venous thrombosis (CVT) caused by vaccine-induced immune thrombotic thrombocytopenia (VITT) is a rare adverse effect of adenovirus-based severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) vaccines. In March 2021, after autoimmune pathogenesis of VITT was discovered, treatment recommendations were developed. These comprised immunomodulation, non-heparin anticoagulants, and avoidance of platelet transfusion. The aim of this study was to evaluate adherence to these recommendations and its association with mortality. METHODS: We used data from an international prospective registry of patients with CVT after the adenovirus-based SARS-CoV-2 vaccination. We analyzed possible, probable, or definite VITT-CVT cases included until January 18, 2022. Immunomodulation entailed administration of intravenous immunoglobulins and/or plasmapheresis. RESULTS: Ninety-nine patients with VITT-CVT from 71 hospitals in 17 countries were analyzed. Five of 38 (13%), 11 of 24 (46%), and 28 of 37 (76%) of the patients diagnosed in March, April, and from May onward, respectively, were treated in-line with VITT recommendations (p < 0.001). Overall, treatment according to recommendations had no statistically significant influence on mortality (14/44 [32%] vs 29/55 [52%], adjusted odds ratio [OR] = 0.43, 95% confidence interval [CI] = 0.16-1.19). However, patients who received immunomodulation had lower mortality (19/65 [29%] vs 24/34 [70%], adjusted OR = 0.19, 95% CI = 0.06-0.58). Treatment with non-heparin anticoagulants instead of heparins was not associated with lower mortality (17/51 [33%] vs 13/35 [37%], adjusted OR = 0.70, 95% CI = 0.24-2.04). Mortality was also not significantly influenced by platelet transfusion (17/27 [63%] vs 26/72 [36%], adjusted OR = 2.19, 95% CI = 0.74-6.54). CONCLUSIONS: In patients with VITT-CVT, adherence to VITT treatment recommendations improved over time. Immunomodulation seems crucial for reducing mortality of VITT-CVT. ANN NEUROL

Published
2022

24. Characteristics and Outcomes of Patients With Cerebral Venous Sinus Thrombosis in SARS-CoV-2 Vaccine-Induced Immune Thrombotic Thrombocytopenia

Author

Sanchez van Kammen, M., Aguiar de Sousa, D., Poli, S., Cordonnier, C., Heldner, M.R., Munckhof, A. van de, Krzywicka, K., Haaps, T. van, Ciccone, A., Middeldorp, S., Levi, M.M., Hovinga, J.A. Kremer, Silvis, S., Hiltunen, S., Mansour, M., Arauz, A., Barboza, M.A., Field, T.S., Tsivgoulis, G., Nagel, S., Lindgren, E., Tatlisumak, T., Jood, K., Putaala, J., Ferro, J.M., Arnold, M., Coutinho, J.M., Sharma, A.R., Elkady, A., Negro, A., Günther, A., Gutschalk, A., Schönenberger, S., Buture, A., Murphy, S., Nunes, A., Tiede, A., Philip, A. Puthuppallil, Mengel, A., Medina, A., Vogel, Å. Hellström, Tawa, A., Aujayeb, A., Casolla, B., Buck, B., Zanferrari, C., Garcia-Esperon, C., Vayne, C., Legault, C., Pfrepper, C., Tracol, C., Soriano, C., Guisado-Alonso, D., Bougon, D., Zimatore, D.S., Michalski, D., Blacquiere, D., Johansson, E., Cuadrado-Godia, E., Maistre, E. De, Carrera, E., Vuillier, F., Bonneville, F., Giammello, F., Bode, F.J., Zimmerman, J., d'Onofrio, F., Grillo, F., Cotton, F., Caparros, F., Puy, L., Maier, F., Gulli, G., Frisullo, G., Polkinghorne, G., Franchineau, G., Cangür, H., Katzberg, H., Sibon, I., Baharoglu, I., Brar, J., Payen, J.F., Burrow, J., Fernandes, J., Schouten, J., Althaus, K., Garambois, K., Derex, L., Humbertjean, L., Hernandez, L. Herrera, Kellermair, L., Martin, M, Petruzzellis, M., Cotelli, M., Dubois, M.C., Carvalho, M., Wittstock, M., Miranda, M., Skjelland, M., Poggio, M., et al. Bandettini di, Sanchez van Kammen, M., Aguiar de Sousa, D., Poli, S., Cordonnier, C., Heldner, M.R., Munckhof, A. van de, Krzywicka, K., Haaps, T. van, Ciccone, A., Middeldorp, S., Levi, M.M., Hovinga, J.A. Kremer, Silvis, S., Hiltunen, S., Mansour, M., Arauz, A., Barboza, M.A., Field, T.S., Tsivgoulis, G., Nagel, S., Lindgren, E., Tatlisumak, T., Jood, K., Putaala, J., Ferro, J.M., Arnold, M., Coutinho, J.M., Sharma, A.R., Elkady, A., Negro, A., Günther, A., Gutschalk, A., Schönenberger, S., Buture, A., Murphy, S., Nunes, A., Tiede, A., Philip, A. Puthuppallil, Mengel, A., Medina, A., Vogel, Å. Hellström, Tawa, A., Aujayeb, A., Casolla, B., Buck, B., Zanferrari, C., Garcia-Esperon, C., Vayne, C., Legault, C., Pfrepper, C., Tracol, C., Soriano, C., Guisado-Alonso, D., Bougon, D., Zimatore, D.S., Michalski, D., Blacquiere, D., Johansson, E., Cuadrado-Godia, E., Maistre, E. De, Carrera, E., Vuillier, F., Bonneville, F., Giammello, F., Bode, F.J., Zimmerman, J., d'Onofrio, F., Grillo, F., Cotton, F., Caparros, F., Puy, L., Maier, F., Gulli, G., Frisullo, G., Polkinghorne, G., Franchineau, G., Cangür, H., Katzberg, H., Sibon, I., Baharoglu, I., Brar, J., Payen, J.F., Burrow, J., Fernandes, J., Schouten, J., Althaus, K., Garambois, K., Derex, L., Humbertjean, L., Hernandez, L. Herrera, Kellermair, L., Martin, M, Petruzzellis, M., Cotelli, M., Dubois, M.C., Carvalho, M., Wittstock, M., Miranda, M., Skjelland, M., and Poggio, M., et al. Bandettini di

Abstract

Item does not contain fulltext, IMPORTANCE: Thrombosis with thrombocytopenia syndrome (TTS) has been reported after vaccination with the SARS-CoV-2 vaccines ChAdOx1 nCov-19 (Oxford-AstraZeneca) and Ad26.COV2.S (Janssen/Johnson & Johnson). OBJECTIVE: To describe the clinical characteristics and outcome of patients with cerebral venous sinus thrombosis (CVST) after SARS-CoV-2 vaccination with and without TTS. DESIGN, SETTING, AND PARTICIPANTS: This cohort study used data from an international registry of consecutive patients with CVST within 28 days of SARS-CoV-2 vaccination included between March 29 and June 18, 2021, from 81 hospitals in 19 countries. For reference, data from patients with CVST between 2015 and 2018 were derived from an existing international registry. Clinical characteristics and mortality rate were described for adults with (1) CVST in the setting of SARS-CoV-2 vaccine-induced immune thrombotic thrombocytopenia, (2) CVST after SARS-CoV-2 vaccination not fulling criteria for TTS, and (3) CVST unrelated to SARS-CoV-2 vaccination. EXPOSURES: Patients were classified as having TTS if they had new-onset thrombocytopenia without recent exposure to heparin, in accordance with the Brighton Collaboration interim criteria. MAIN OUTCOMES AND MEASURES: Clinical characteristics and mortality rate. RESULTS: Of 116 patients with postvaccination CVST, 78 (67.2%) had TTS, of whom 76 had been vaccinated with ChAdOx1 nCov-19; 38 (32.8%) had no indication of TTS. The control group included 207 patients with CVST before the COVID-19 pandemic. A total of 63 of 78 (81%), 30 of 38 (79%), and 145 of 207 (70.0%) patients, respectively, were female, and the mean (SD) age was 45 (14), 55 (20), and 42 (16) years, respectively. Concomitant thromboembolism occurred in 25 of 70 patients (36%) in the TTS group, 2 of 35 (6%) in the no TTS group, and 10 of 206 (4.9%) in the control group, and in-hospital mortality rates were 47% (36 of 76; 95% CI, 37-58), 5% (2 of 37; 95% CI, 1-18), and 3.9% (8 of 207; 95% CI, 2.

Published
2021

28. Brain MRI Findings in Severe COVID-19: A Retrospective Observational Study

Author

Kremer, S. (Stéphane), Boulay, C. (Clotilde), de Sèze, J. (Jérome), Ferré, J. (Jean-Christophe), Maamar, A. (Adel), Carsin-Nicol, B. (Béatrice), Collange, O. (Olivier), Bonneville, F. (Fabrice), Adam, G. (Gilles), Martin-Blondel, G. (Guillaume), Rafiq, M. (Marie), Geeraerts, T. (Thomas), Delamarre, L. (Louis), Grand, S. (Sylvie), Krainik, A. (Alexandre), Kremer, S. (Stephane), Alleg, M. (Manel), Anheim, M. (Mathieu), Anxionnat, R. (René), Ardellier, F. (François-Daniel), Baloglu, S. (Seyyid), Bapst, B. (Blanche), Benzakoun, J. (Joseph), Berge, J. (Jérome), Bolognini, F. (Federico), Bornet, G. (Grégoire), Boulouis, G. (Grégoire), Boutet, C. (Claire), Brisset, J. (Jean Christophe), Caillard-ohlmann, S. (Sophie), Carré, S. (Sophie), Comby, P. (Pierre-Olivier), Constans, J. (Jean Marc), David, J. (Jean-Stéphane), de Beaurepaire, I. (Isaure), De Seze, J. (Jerome), Desal, H. (Hubert), Edjlali-Goujon, M. (Myriam), Fabre, X. (Xavier), Fafi-Kremer, S. (Samira), Feuerstein, P. (Philippe), Henry Feugeas, M. (Marie-Cécile), Forestier, G. (Géraud), Gaudemer, A. (Augustin), Hansmann, Y. (Yves), Heintz, A. (Adrien), Boisrame, J. (Julie), Hemmert, C. (Céline), Hmeydia, G. (Ghazi), Jager, L. (Lavinia), Kazémi, A. (Apolline), Kerleroux, B. (Basile), Khalil, A. (Antoine), Lacalm, A. (Audrey), Lecler, A. (Augustin), Lecocq, C. (Claire), Lefebvre, N. (Nicolas), Lersy, F. (François), Matthieu, M. (Muriel), Megdiche, I. (Imen), Mertes, P. (Paul-michel), Messié, J. (Julien), Metanbou, S. (Serge), Meyer, N. (Nicolas), Meziani, F. (Ferhat), Mutschler, V. (Veronique), Nesser, P. (Patrick), Oesterlé, H. (Hélène), Ohana, M. (Mickaël), Oppenheim, C. (Catherine), Pyatigorskaya, N. (Nadya), Ricolfi, F. (Frédéric), Saleme, S. (Suzana), Schenck, M. (Maleka), Schmitt, E. (Emmanuelle), Schneider, F. (Francis), Sebag, N. (Nathan), Talla Mba, Y. (Yannick), Thouant, P. (Pierre), Willaume, T. (Thibault), Zhu, F. (François), Zorn, P. (Pierre-Emmanuel), Cotton, F. (François), Les Hôpitaux Universitaires de Strasbourg (HUS), Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), 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), Département de Radiologie [CHU de Rennes], Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Service des maladies infectieuses et réanimation médicale [Rennes] = Infectious Disease and Intensive Care [Rennes], CHU Pontchaillou [Rennes], CHU Toulouse [Toulouse], CHU Grenoble, Université Joseph Fourier - Grenoble 1 (UJF)-CHU Grenoble, Centre hospitalier de Haguenau, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre Hospitalier Universitaire de Nancy (CHU Nancy), CHU Henri Mondor, 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), CHU Bordeaux [Bordeaux], Hôpitaux Civils de Colmar, Hôpital Privé d'Antony, Centre Hospitalier Universitaire de Saint-Etienne (CHU de Saint-Etienne), Observatoire Français de la Sclérose En Plaques [Lyon] (OFSEP), Immuno-Rhumatologie Moléculaire, Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Dijon, Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), CHU Amiens-Picardie, Hospices Civils de Lyon (HCL), Centre hospitalier universitaire de Nantes (CHU Nantes), Centre Hospitalier de Roanne (CH Roanne), CH de Roanne, Groupe hospitalier de la région de Mulhouse Sud-Alsace (GHRMSA), AP-HP - Hôpital Bichat - Claude Bernard [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), CHU Limoges, CHU Strasbourg, Nouvel Hôpital Civil de Strasbourg, Université de Strasbourg (UNISTRA), Hôpital Marie-Madeleine [Forbach], CHU Lille, Hôpital de la Fondation Ophtalmologique Adolphe de Rothschild [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Les Hôptaux universitaires de Strasbourg (HUS), Nanomédecine Régénérative (NanoRegMed), Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-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), 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), 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 de Rennes (UR), Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), CHU Henri Mondor [Créteil], Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-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), Ferré, Jean-Christophe, 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
Adult, Male, medicine.medical_specialty, Sciences du Vivant [q-bio]/Neurosciences [q-bio.NC], Adolescent, Pneumonia, Viral, Gastroenterology, 030218 nuclear medicine & medical imaging, Temporal lobe, White matter, Cohort Studies, 03 medical and health sciences, symbols.namesake, Betacoronavirus, Young Adult, 0302 clinical medicine, Cerebrospinal fluid, Internal medicine, Intensive care, medicine, Humans, Radiology, Nuclear Medicine and imaging, 10. No inequality, Child, Pandemics, Fisher's exact test, Aged, Retrospective Studies, medicine.diagnostic_test, business.industry, SARS-CoV-2, [SCCO.NEUR]Cognitive science/Neuroscience, [SCCO.NEUR] Cognitive science/Neuroscience, Brain, COVID-19, Retrospective cohort study, Magnetic resonance imaging, Middle Aged, medicine.disease, Magnetic Resonance Imaging, 3. Good health, Venous thrombosis, medicine.anatomical_structure, Neuroradiology, 030220 oncology & carcinogenesis, symbols, Female, business, Coronavirus Infections
Abstract

International audience; BackgroundBrain MRI parenchymal signal abnormalities have been associated with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).PurposeTo describe the neuroimaging findings (excluding ischemic infarcts) in patients with severe coronavirus disease 2019 (COVID-19) infection.Materials and MethodsThis was a retrospective study of patients evaluated from March 23, 2020, to April 27, 2020, at 16 hospitals. Inclusion criteria were (a) positive nasopharyngeal or lower respiratory tract reverse transcriptase polymerase chain reaction assays, (b) severe COVID-19 infection defined as a requirement for hospitalization and oxygen therapy, (c) neurologic manifestations, and (d) abnormal brain MRI findings. Exclusion criteria were patients with missing or noncontributory data regarding brain MRI or brain MRI showing ischemic infarcts, cerebral venous thrombosis, or chronic lesions unrelated to the current event. Categorical data were compared using the Fisher exact test. Quantitative data were compared using the Student t test or Wilcoxon test. P < .05 represented a significant difference.ResultsThirty men (81%) and seven women (19%) met the inclusion criteria, with a mean age of 61 years ± 12 (standard deviation) (age range, 8–78 years). The most common neurologic manifestations were alteration of consciousness (27 of 37, 73%), abnormal wakefulness when sedation was stopped (15 of 37, 41%), confusion (12 of 37, 32%), and agitation (seven of 37, 19%). The most frequent MRI findings were signal abnormalities located in the medial temporal lobe in 16 of 37 patients (43%; 95% confidence interval [CI]: 27%, 59%), nonconfluent multifocal white matter hyperintense lesions seen with fluid-attenuated inversion recovery and diffusion-weighted sequences with variable enhancement, with associated hemorrhagic lesions in 11 of 37 patients (30%; 95% CI: 15%, 45%), and extensive and isolated white matter microhemorrhages in nine of 37 patients (24%; 95% CI: 10%, 38%). A majority of patients (20 of 37, 54%) had intracerebral hemorrhagic lesions with a more severe clinical presentation and a higher admission rate in intensive care units (20 of 20 patients [100%] vs 12 of 17 patients without hemorrhage [71%], P = .01) and development of the acute respiratory distress syndrome (20 of 20 patients [100%] vs 11 of 17 patients [65%], P = .005). Only one patient had SARS-CoV-2 RNA in the cerebrospinal fluid.ConclusionPatients with severe coronavirus disease 2019 and without ischemic infarcts had a wide range of neurologic manifestations that were associated with abnormal brain MRI scans. Eight distinctive neuroradiologic patterns were described.

Published
2020
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31. Parkinson's disease with camptocormia

Author

Bloch, F., Houeto, J.L., Tezenas du Montcel, S., Bonneville, F., Etchepare, F., Welter, M.L., Rivaud-Pechoux, S., Hahn-Barma, V., Maisonobe, T., Behar, C., Lazennec, J.Y., Kurys, E., Arnulf, I., Bonnet, A.M., and Agid, Y.

Subjects
Parkinson's disease -- Research, Parkinson's disease -- Health aspects, Posture disorders -- Research, Posture disorders -- Causes of, Posture disorders -- Physiological aspects, Health, Psychology and mental health
Published
2006

35. Épistaxis

Author

Clarençon, F., primary, Blanc, R., additional, and Bonneville, F., additional

Published
2010
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46. Artificial intelligence to predict clinical disability in patients with multiple sclerosis using FLAIR MRI

Author

Roca, P., primary, Attye, A., additional, Colas, L., additional, Tucholka, A., additional, Rubini, P., additional, Cackowski, S., additional, Ding, J., additional, Budzik, J.-F., additional, Renard, F., additional, Doyle, S., additional, Barbier, E.L., additional, Bousaid, I., additional, Casey, R., additional, Vukusic, S., additional, Lassau, N., additional, Verclytte, S., additional, Cotton, F., additional, Brochet, B., additional, De Sèze, J., additional, Douek, P., additional, Guillemin, F., additional, Laplaud, D., additional, Lebrun-Frenay, C., additional, Mansuy, L., additional, Moreau, T., additional, Olaiz, J., additional, Pelletier, J., additional, Rigaud-Bully, C., additional, Stankoff, B., additional, Marignier, R., additional, Debouverie, M., additional, Edan, G., additional, Ciron, J., additional, Ruet, A., additional, Collongues, N., additional, Lubetzki, C., additional, Vermersch, P., additional, Labauge, P., additional, Defer, G., additional, Cohen, M., additional, Fromont, A., additional, Wiertlewsky, S., additional, Berger, E., additional, Clavelou, P., additional, Audoin, B., additional, Giannesini, C., additional, Gout, O., additional, Thouvenot, E., additional, Heinzlef, O., additional, Al-Khedr, A., additional, Bourre, B., additional, Casez, O., additional, Cabre, P., additional, Montcuquet, A., additional, Créange, A., additional, Camdessanché, J.-P., additional, Faure, J., additional, Maurousset, A., additional, Patry, I., additional, Hankiewicz, K., additional, Pottier, C., additional, Maubeuge, N., additional, Labeyrie, C., additional, Nifle, C., additional, Ameli, R., additional, Anxionnat, R., additional, Bannier, E., additional, Barillot, C., additional, Ben Salem, D., additional, Boncoeur-Martel, M.-P., additional, Bonneville, F., additional, Boutet, C., additional, Brisset, J.-C., additional, Cervenanski, F., additional, Claise, B., additional, Commowick, O., additional, Constans, J.-M., additional, Dardel, P., additional, Desal, H., additional, Dousset, Vincent, additional, Durand-Dubief, F., additional, Ferre, J.-C., additional, Gerardin, E., additional, Glattard, T., additional, Grand, S., additional, Grenier, T., additional, Guillevin, R., additional, Guttmann, C., additional, Krainik, A., additional, Kremer, S., additional, Lion, S., additional, Menjot de Champfleur, N., additional, Mondot, L., additional, Outteryck, O., additional, Pyatigorskaya, N., additional, Pruvo, J.-P., additional, Rabaste, S., additional, Ranjeva, J.-P., additional, Roch, J.-A., additional, Sadik, J.C., additional, Sappey-Marinier, D., additional, Savatovsky, J., additional, Tanguy, J.-Y., additional, Tourbah, A., additional, and Tourdias, T., additional

Published
2020
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48. Un carcinome hypophysaire somatotrope

Author

Vialon, M., primary, Bernard, A., additional, Larrieu-Ciron, D., additional, Grunenwald, S., additional, Vezzosi, D., additional, Bennet, A., additional, Mouly, C., additional, Bonneville, F., additional, and Caron, P., additional

Published
2020
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49. New OFSEP recommendations for MRI assessment of multiple sclerosis patients: Special consideration for gadolinium deposition and frequent acquisitions

Author

Brisset, Jean-Christophe, primary, Kremer, Stephane, additional, Hannoun, Salem, additional, Bonneville, Fabrice, additional, Durand-Dubief, Francoise, additional, Tourdias, Thomas, additional, Barillot, Christian, additional, Guttmann, Charles, additional, Vukusic, Sandra, additional, Dousset, Vincent, additional, Cotton, Francois, additional, Ameli, R., additional, Anxionnat, R., additional, Audoin, B., additional, Attye, A., additional, Bannier, E., additional, Barillot, C., additional, Ben Salem, D., additional, Boncoeur-Martel, M.-P., additional, Bonhomme, G., additional, Bonneville, F., additional, Boutet, C., additional, Brisset, J.C., additional, Cervenanski, F., additional, Claise, B., additional, Commowick, O., additional, Constans, J.-M., additional, Cotton, F., additional, Dardel, P., additional, Desal, H., additional, Dousset, V., additional, Durand-Dubief, F., additional, Ferre, J.-C., additional, Gaultier, A., additional, Gerardin, E., additional, Glattard, T., additional, Grand, S., additional, Grenier, T., additional, Guillevin, R., additional, Guttmann, C., additional, Krainik, A., additional, Kremer, S., additional, Lion, S., additional, Champfleur, N. Menjot De, additional, Mondot, L., additional, Outteryck, O., additional, Pyatigorskaya, N., additional, Pruvo, J.-P., additional, Rabaste, S., additional, Ranjeva, J.-P., additional, Roch, J.-A., additional, Sadik, J.-C., additional, Sappey-Marinier, D., additional, Savatovsky, J., additional, Stankoff, B., additional, Tanguy, J.-Y., additional, Tourbah, A., additional, Tourdias, T., additional, Brochet, B., additional, Casey, R., additional, De Sèze, J., additional, Douek, P., additional, Guillemin, F., additional, Laplaud, D., additional, Lebrun-Frenay, C., additional, Mansuy, L., additional, Moreau, T., additional, Olaiz, J., additional, Pelletier, J., additional, Rigaud-Bully, C., additional, Vukusic, S., additional, Debouverie, M., additional, Edan, G., additional, Ciron, J., additional, Lubetzki, C., additional, Vermersch, P., additional, Labauge, P., additional, Defer, G., additional, Berger, E., additional, Clavelou, P., additional, Gout, O., additional, Thouvenot, E., additional, Heinzlef, O., additional, Al-Khedr, A., additional, Bourre, B., additional, Casez, O., additional, Cabre, P., additional, Montcuquet, A., additional, Créange, A., additional, Camdessanché, J.-P., additional, Bakchine, S., additional, Maurousset, A., additional, Patry, I., additional, De Broucker, T., additional, Pottier, C., additional, Neau, J.-P., additional, Labeyrie, C., additional, and Nifle, C., additional

Published
2020
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50. Advanced multiparametric magnetic resonance imaging of multinodular and vacuolating neuronal tumor

Author

Lecler, A., primary, Broquet, V., additional, Bailleux, J., additional, Carsin, B., additional, Adle‐Biassette, H., additional, Baloglu, S., additional, Forestier, G., additional, Bonneville, F., additional, Calvier, E., additional, Chauvet, D., additional, Comby, P. O., additional, Cottier, J. P., additional, Cotton, F., additional, Deschamps, R., additional, Diard‐Detoeuf, C., additional, Ducray, F., additional, Drissi, C., additional, Elmaleh, M., additional, Farras, J., additional, Aguilar Garcia, J., additional, Gerardin, E., additional, Grand, S., additional, Jianu, D. C., additional, Kremer, S., additional, Loiseau, H., additional, Magne, N., additional, Mejdoubi, M., additional, Moulignier, A., additional, Ollivier, M., additional, Nagi, S., additional, Rodallec, M., additional, Shor, N., additional, Tourdias, T., additional, Vandendries, C., additional, Anxionnat, R., additional, Duron, L., additional, and Savatovsky, J., additional

Published
2020
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