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223 results on '"Pyatigorskaya N"'

1. Multimodal assessment improves neuroprognosis performance in clinically unresponsive critical-care patients with brain injury

Author

Rohaut, B., Calligaris, C., Hermann, B., Perez, P., Faugeras, F., Raimondo, F., King, J-.R., Engemann, D., Marois, C., Le Guennec, L., Di Meglio, L., Sangaré, A., Munoz Musat, E., Valente, M., Ben Salah, A., Demertzi, A., Belloli, L., Manasova, D., Jodaitis, L., Habert, M. O., Lambrecq, V., Pyatigorskaya, N., Galanaud, D., Puybasset, L., Weiss, N., Demeret, S., Lejeune, F. X., Sitt, J. D., and Naccache, L.

Published
2024
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4. 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. Abnormal nigral iron progression in Parkinson’s disease and REM Sleep Behavior Disorder using quantitative magnetic resonance imaging

Author

Gaurav, R., primary, Lejeune, F.-X., additional, Valabrègue, R., additional, Santin, M.D., additional, Mao, Z., additional, Pyatigorskaya, N., additional, Mangone, G., additional, Leu-Semenescu, S., additional, Corvol, J.-C., additional, Vidailhet, M., additional, Arnulf, I., additional, and Lehéricy, S., additional

Published
2024
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10. Schisandrin and Schisantherin A in Multiphytoadaptogen for Preventive Oncology

Author

Bocharova, O. A., primary, Kazeev, I. V., additional, Shevchenko, V. E., additional, Ionov, N. S., additional, Sheichenko, O. P., additional, Bocharov, E. V., additional, Karpova, R. V., additional, Kucheryanu, V. G., additional, Lagunin, A. A., additional, Filimonov, D. A., additional, Kosorukov, V. S., additional, Poroikov, V. V., additional, Tutelyan, V. A., additional, and Pyatigorskaya, N. V., additional

Published
2023
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18. Computer‐aided Evaluation of Polyvalent Medications’ Pharmacological Potential. Multiphytoadaptogen as a Case Study

Author

Bocharova, O. A., primary, Ionov, N. S., additional, Kazeev, I. V., additional, Shevchenko, V. E., additional, Bocharov, E. V., additional, Karpova, R. V., additional, Sheychenko, O. P., additional, Aksyonov, A. A., additional, Chulkova, S. V., additional, Kucheryanu, V. G., additional, Revishchin, A. V., additional, Pavlova, G. V., additional, Kosorukov, V. S., additional, Filimonov, D. A., additional, Lagunin, A. A., additional, Matveev, V. B., additional, Pyatigorskaya, N. V., additional, Stilidi, I. S., additional, and Poroikov, V. V., additional

Published
2022
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22. Computer‐aided Evaluation of Polyvalent Medications' Pharmacological Potential. Multiphytoadaptogen as a Case Study.

Author

Bocharova, O. A., Ionov, N. S., Kazeev, I. V., Shevchenko, V. E., Bocharov, E. V., Karpova, R. V., Sheychenko, O. P., Aksyonov, A. A., Chulkova, S. V., Kucheryanu, V. G., Revishchin, A. V., Pavlova, G. V., Kosorukov, V. S., Filimonov, D. A., Lagunin, A. A., Matveev, V. B., Pyatigorskaya, N. V., Stilidi, I. S., and Poroikov, V. V.

Subjects
MALE reproductive organs, DRUGS, NATURAL products, PLANT extracts, MEDICAL research, NEUROPROTECTIVE agents
Abstract

Many human diseases including cancer, degenerative and autoimmune disorders, diabetes and others are multifactorial. Pharmaceutical agents acting on a single target do not provide their efficient curation. Multitargeted drugs exhibiting pleiotropic pharmacological effects have certain advantages due to the normalization of the complex pathological processes of different etiology. Extracts of medicinal plants (EMP) containing multiple phytocomponents are widely used in traditional medicines for multifactorial disorders' treatment. Experimental studies of pharmacological potential for multicomponent compositions are quite expensive and time‐consuming. In silico evaluation of EMP the pharmacological potential may provide the basis for selecting the most promising directions of testing and for identifying potential additive/synergistic effects. Multiphytoadaptogen (MPhA) containing 70 major phytocomponents of different chemical classes from 40 medicinal plant extracts has been studied in vitro, in vivo and in clinical researches. Antiproliferative and anti‐tumor activities have been shown against some tumors as well as evidence‐based therapeutic effects against age‐related pathologies. In addition, the neuroprotective, antioxidant, antimutagenic, radioprotective, and immunomodulatory effects of MPhA were confirmed. Analysis of the PASS profiles of the biological activity of MPhA phytocomponents showed that most of the predicted anti‐tumor and anti‐metastatic effects were consistent with the results of laboratory and clinical studies. Antimutagenic, immunomodulatory, radioprotective, neuroprotective and anti‐Parkinsonian effects were also predicted for most of the phytocomponents. Effects associated with positive effects on the male and female reproductive systems have been identified too. Thus, PASS and PharmaExpert can be used to evaluate the pharmacological potential of complex pharmaceutical compositions containing natural products [ABSTRACT FROM AUTHOR]

Published
2023
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25. Anticoagulant, anti-inflammatory, antiviral and antitumor properties of heparins

Author

Bitsadze, V. O., primary, Slukhanchuk, E. V., additional, Khizroeva, J. Kh., additional, Tretyakova, M. V., additional, Pyatigorskaya, N. V., additional, Akinshina, S. V., additional, Makatsariya, N. A., additional, Gotsiridze, K. E., additional, Babaeva, N. N., additional, Grigoreva, K. N., additional, Shkoda, A. S., additional, Elalamy, I., additional, Gris, J.-C., additional, and Shulman, S., additional

Published
2021
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26. International survey on residency programs in radiology: similarities and differences among 17 countries

Author

Sosna, J. Pyatigorskaya, N. Krestin, G. Denton, E. Stanislav, K. Morozov, S. Kumamaru, K.K. Jankharia, B. Mildenberger, P. Forster, B. Schouman-Clayes, E. Bradey, A. Akata, D. Brkljacic, B. Grassi, R. Plako, A. Papanagiotou, H. Maksimović, R. Lexa, F.

Abstract

Objective: With the initiative of the ACR International Economics Committee, a multinational survey was conducted to evaluate radiology residency programs around the world. Methods: A 31-question survey was developed. It included: economic issues, program size and length, resident's activities during daytime and call, academic aspects including syllabus and examinations. Data was tabulated using the forementioned thematic framework and was qualitatively analyzed. Results: Responses were received from all 17 countries that were invited to participate (France, Netherlands, Israel, UK, Russia, USA, Japan, India, Germany, Canada, Turkey, Croatia, Serbia, Italy, Ireland, Hungary, and Greece). Residency length varied between 2 and 5 years. The certificate of residency completion is provided by a local hospital [4/17 (23%)], University [6/17 (36%)], National Board [6/17 (36%)], and Ministry of Health [1/17 (6%)]. There was variability among the number of residency programs and residents per program ranging from 15 to 300 programs per nation with a 1–700 residents in each one respectively. Salaries varied significantly and ranged from 8000 to 75,000 USD equivalent. Exams are an integral part of training in all surveyed countries. Length of call varied between 5 and 26 h and the number of monthly calls ranged from 3 to 6. The future of radiology was judged as growing in [12/17 (70%)] countries and stagnant in [5/17 (30%)] countries. Discussion: Radiology residency programs worldwide have many similarities. The differences are in the structure of the residency programs. Stagnation and uncertainties need to be addressed to ensure the continued development of the next generation of radiologists. Summary statement: There are many similarities in the academic aims and approach to education and training of radiology residency programs worldwide. The differences are in the structure of the residency programs and payments to individual residents. © 2021 Elsevier Inc.

Published
2021

29. 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

31. 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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37. 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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39. ESR paper on structured reporting in radiology

Author

Neri, E., Brady, A. P., Gibaud, B., Visser, J., Nahum Goldberg, S., Pyatigorskaya, N., and European Society of Radiology

Subjects
Reporting, Imaging Informatics, Reporting, Radiology, Imaging Informatics, Radiology
Published
2018

45. What is your diagnosis?

Author

A. Gaston, Mekontso Dessap A, Pierre Brugières, Pyatigorskaya N, and Jérôme Hodel

Subjects
Radiological and Ultrasound Technology, business.industry, Nocardia abscessus, Medicine, Radiology, Nuclear Medicine and imaging, Neurology (clinical), business, Microbiology
Published
2010

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