Search

Your search keyword '"François-Daniel Ardellier"' showing total 10 results
Start Over Author "François-Daniel Ardellier"
10 results on '"François-Daniel Ardellier"'

1. CNS tumors with PLAGL1-fusion: beyond ZFTA and YAP1 in the genetic spectrum of supratentorial ependymomas

Author

Arnault Tauziède-Espariat, Yvan Nicaise, Philipp Sievers, Felix Sahm, Andreas von Deimling, Delphine Guillemot, Gaëlle Pierron, Mathilde Duchesne, Myriam Edjlali, Volodia Dangouloff-Ros, Nathalie Boddaert, Alexandre Roux, Edouard Dezamis, Lauren Hasty, Benoît Lhermitte, Edouard Hirsch, Maria Paola Valenti Hirsch, François-Daniel Ardellier, Mélodie-Anne Karnoub, Marie Csanyi, Claude-Alain Maurage, Karima Mokhtari, Franck Bielle, Valérie Rigau, Thomas Roujeau, Marine Abad, Sébastien Klein, Michèle Bernier, Catherine Horodyckid, Clovis Adam, Petter Brandal, Pitt Niehusmann, Quentin Vannod-Michel, Corentin Provost, Nicolas Menjot de Champfleur, Lucia Nichelli, Alice Métais, Cassandra Mariet, Fabrice Chrétien, Thomas Blauwblomme, Kévin Beccaria, Johan Pallud, Stéphanie Puget, Emmanuelle Uro-Coste, Pascale Varlet, and RENOCLIP-LOC

Subjects
Ependymoma, PLAGL1, Subependymoma, DNA-methylation, Neurology. Diseases of the nervous system, RC346-429
Abstract

Abstract A novel methylation class, “neuroepithelial tumor, with PLAGL1 fusion” (NET-PLAGL1), has recently been described, based on epigenetic features, as a supratentorial pediatric brain tumor with recurrent histopathological features suggesting an ependymal differentiation. Because of the recent identification of this neoplastic entity, few histopathological, radiological and clinical data are available. Herein, we present a detailed series of nine cases of PLAGL1-fused supratentorial tumors, reclassified from a series of supratentorial ependymomas, non-ZFTA/non-YAP1 fusion-positive and subependymomas of the young. This study included extensive clinical, radiological, histopathological, ultrastructural, immunohistochemical, genetic and epigenetic (DNA methylation profiling) data for characterization. An important aim of this work was to evaluate the sensitivity and specificity of a novel fluorescent in situ hybridization (FISH) targeting the PLAGL1 gene. Using histopathology, immunohistochemistry and electron microscopy, we confirmed the ependymal differentiation of this new neoplastic entity. Indeed, the cases histopathologically presented as “mixed subependymomas-ependymomas” with well-circumscribed tumors exhibiting a diffuse immunoreactivity for GFAP, without expression of Olig2 or SOX10. Ultrastructurally, they also harbored features reminiscent of ependymal differentiation, such as cilia. Different gene partners were fused with PLAGL1: FOXO1, EWSR1 and for the first time MAML2. The PLAGL1 FISH presented a 100% sensitivity and specificity according to RNA sequencing and DNA methylation profiling results. This cohort of supratentorial PLAGL1-fused tumors highlights: 1/ the ependymal cell origin of this new neoplastic entity; 2/ benefit of looking for a PLAGL1 fusion in supratentorial cases of non-ZFTA/non-YAP1 ependymomas; and 3/ the usefulness of PLAGL1 FISH.

Published
2024
Full Text
View/download PDF

2. How and why do French medical students choose the specialty of infectious and tropical diseases? A national cross-sectional study

Author

Nathan Peiffer-Smadja, François-Daniel Ardellier, Pauline Thill, Anne-Lise Beaumont, Gaud Catho, Lindsay Osei, Vincent Dubée, Alexandre Bleibtreu, Adrien Lemaignen, and Michaël Thy

Subjects
Career choice, Infectious diseases education, Perception of infectious diseases, Residency, Special aspects of education, LC8-6691, Medicine
Abstract

Abstract Background Infectious and tropical diseases (ID) physicians are needed now more than ever to tackle existing and emerging global threats. However, in many countries, ID is not recognized as a qualifying specialty. The creation of ID residency in 2017 in France offers the opportunity to know how and why the specialty is chosen by medical students. Methods We first analyzed the choice of specialty of all French medical students in 2017 and 2018 according to their rank at the national exam that ends medical studies. A web questionnaire was then sent in January 2019 to all ID residents in France (n = 100) to assess the factors influencing their choice of specialty and their career plan. Results We analyzed the choice of 17,087 medical students. ID was the first-chosen specialty with a median national rank of 526/8539, followed by plastic surgery and ophthalmology. The questionnaire was completed by 90% of the French ID residents (n = 100). The most encouraging factors to choose ID were the multi-system approach of the specialty, the importance of diagnostic medicine and having done an internship in ID during medical school. The potential deterrents were the work-life balance, the workload and the salary. Conclusions The recent recognition of ID as a qualifying specialty in France can be considered a success insofar as the specialty is the most popular among all medical and surgical specialties. Individuals who choose ID are attracted by the intellectual stimulation of the specialty but express concerns about the working conditions and salaries.

Published
2020
Full Text
View/download PDF

3. Evolution of Neuroimaging Findings in Severe COVID-19 Patients with Initial Neurological Impairment: An Observational Study

Author

François Lersy, Caroline Bund, Mathieu Anheim, Mary Mondino, Vincent Noblet, Shirley Lazzara, Clelie Phillipps, Olivier Collange, Walid Oulehri, Paul-Michel Mertes, Julie Helms, Hamid Merdji, Maleka Schenck, Francis Schneider, Julien Pottecher, Céline Giraudeau, Agathe Chammas, François-Daniel Ardellier, Seyyid Baloglu, Khalid Ambarki, Izzie Jacques Namer, and Stéphane Kremer

Subjects
COVID-19, neuroimaging, follow-up, Microbiology, QR1-502
Abstract

Background and Objectives: Cerebral complications related to the COVID-19 were documented by brain MRIs during the acute phase. The purpose of the present study was to describe the evolution of these neuroimaging findings (MRI and FDG-PET/CT) and describe the neurocognitive outcomes of these patients. Methods: During the first wave of the COVID-19 outbreak between 1 March and 31 May 2020, 112 consecutive COVID-19 patients with neurologic manifestations underwent a brain MRI at Strasbourg University hospitals. After recovery, during follow-up, of these 112 patients, 31 (initially hospitalized in intensive care units) underwent additional imaging studies (at least one brain MRI). Results: Twenty-three men (74%) and eight women (26%) with a mean age of 61 years (range: 18–79) were included. Leptomeningeal enhancement, diffuse brain microhemorrhages, acute ischemic strokes, suspicion of cerebral vasculitis, and acute inflammatory demyelinating lesions were described on the initial brain MRIs. During follow-up, the evolution of the leptomeningeal enhancement was discordant, and the cerebral microhemorrhages were stable. We observed normalization of the vessel walls in all patients suspected of cerebral vasculitis. Four patients (13%) demonstrated new complications during follow-up (ischemic strokes, hypoglossal neuritis, marked increase in the white matter FLAIR hyperintensities with presumed vascular origin, and one suspected case of cerebral vasculitis). Concerning the grey matter volumetry, we observed a loss of volume of 3.2% during an average period of approximately five months. During follow-up, the more frequent FDG-PET/CT findings were hypometabolism in temporal and insular regions. Conclusion: A minority of initially severe COVID-19 patients demonstrated new complications on their brain MRIs during follow-up after recovery.

Published
2022
Full Text
View/download PDF

4. Cerebral perfusion using ASL in patients with COVID-19 and neurological manifestations: A retrospective multicenter observational study

Author

François-Daniel Ardellier, Seyyid Baloglu, Magdalena Sokolska, Vincent Noblet, François Lersy, Olivier Collange, Jean-Christophe Ferré, Adel Maamar, Béatrice Carsin-Nicol, Julie Helms, Maleka Schenck, Antoine Khalil, Augustin Gaudemer, Sophie Caillard, Julien Pottecher, Nicolas Lefèbvre, Pierre-Emmanuel Zorn, Muriel Matthieu, Jean Christophe Brisset, Clotilde Boulay, Véronique Mutschler, Yves Hansmann, Paul-Michel Mertes, Francis Schneider, Samira Fafi-Kremer, Mickael Ohana, Ferhat Meziani, Nicolas Meyer, Tarek Yousry, Mathieu Anheim, François Cotton, Hans Rolf Jäger, Stéphane Kremer, Fabrice Bonneville, Gilles Adam, Guillaume Martin-Blondel, Jérémie Pariente, Thomas Geeraerts, Hélène Oesterlé, Federico Bolognini, Julien Messie, Ghazi Hmeydia, Joseph Benzakoun, Catherine Oppenheim, Jean-Marc Constans, Serge Metanbou, Adrien Heintz, Blanche Bapst, Imen Megdiche, Lavinia Jager, Patrick Nesser, Yannick Talla Mba, Thomas Tourdias, Juliette Coutureau, Céline Hemmert, Philippe Feuerstein, Nathan Sebag, Sophie Carre, Manel Alleg, Claire Lecocq, Emmanuel Schmitt, René Anxionnat, François Zhu, Géraud Forestier, Aymeric Rouchaud, Pierre-Olivier Comby, Frederic Ricolfi, Pierre Thouant, Sylvie Grand, Alexandre Krainik, Isaure de Beaurepaire, Grégoire Bornet, Audrey Lacalm, Patrick Miailhes, Julie Pique, Claire Boutet, Xavier Fabre, Béatrice Claise, Sonia Mirafzal, Laure Calvet, Hubert Desal, Jérome Berge, Grégoire Boulouis, Apolline Kazemi, Nadya Pyatigorskaya, Augustin Lecler, Suzana Saleme, Myriam Edjlali-Goujon, Basile Kerleroux, Jean-Christophe Brisset, Samir Chenaf, Les Hôpitaux Universitaires de Strasbourg (HUS), Hôpital de Hautepierre [Strasbourg], Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), University College of London [London] (UCL), Nouvel Hôpital Civil de Strasbourg, Département de Neuroradiology [Rennes], Neuroimagerie: méthodes et applications (EMPENN), Institut National de la Santé et de la Recherche Médicale (INSERM)-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-SIGNAL, IMAGE ET LANGAGE (IRISA-D6), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), CHU Pontchaillou [Rennes], Service de Médecine Intensive et Réanimation [Strasbourg], CHU Strasbourg, Département de Radiologie [Bichat] (DR- Bichat), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-AP-HP - Hôpital Bichat - Claude Bernard [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), AP-HP - Hôpital Bichat - Claude Bernard [Paris], Immuno-Rhumatologie Moléculaire, Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg (UNISTRA), Groupe d'Analyse des Itinéraires et des Niveaux Salariaux (GAINS), Le Mans Université (UM), Les Hôptaux universitaires de Strasbourg (HUS), Observatoire Français de la Sclérose En Plaques [Lyon] (OFSEP), Centre for Integrative Biology - CBI (Inserm U964 - CNRS UMR7104 - IGBMC), 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)-Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre Hospitalier Lyon Sud [CHU - HCL] (CHLS), Hospices Civils de Lyon (HCL), Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Hôpital Louis Pasteur [Colmar] (CH Colmar), Hôpital Sainte-Anne [Paris], CHU Amiens-Picardie, CHirurgie, IMagerie et REgénération tissulaire de l’extrémité céphalique - Caractérisation morphologique et fonctionnelle - UR UPJV 7516 (CHIMERE), Université de Picardie Jules Verne (UPJV), SFNR-COVID Group, CHU Henri Mondor [Créteil], Hôpital Marie Madeleine [Forbach] (CHIC Unisanté+), CHU de Bordeaux Pellegrin [Bordeaux], Centre Hospitalier Emile Muller [Mulhouse] (CH E.Muller Mulhouse), Groupe Hospitalier de Territoire Haute Alsace (GHTHA), Centre Hospitalier de Haguenau, Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Hôpital Dupuytren [CHU Limoges], Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Centre Hospitalier Universitaire [Grenoble] (CHU), Hôpital privé d’Antony, Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E), CHU Clermont-Ferrand, and Société Française de Neuroradiologie [Paris] (SFNR)

Subjects
Multicenter Study, Radiological and Ultrasound Technology, Cerebrovascular Circulation, COVID-19, Radiology, Nuclear Medicine and imaging, Neuroimaging, Neurology (clinical), Magnetic Resonance Imaging, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract

International audience; Background and purpose: Cerebral hypoperfusion has been reported in patients with COVID-19 and neurological manifestations in small cohorts. We aimed to systematically assess changes in cerebral perfusion in a cohort of 59 of these patients, with or without abnormalities on morphological MRI sequences.Methods: Patients with biologically-confirmed COVID-19 and neurological manifestations undergoing a brain MRI with technically adequate arterial spin labeling (ASL) perfusion were included in this retrospective multicenter study. ASL maps were jointly reviewed by two readers blinded to clinical data. They assessed abnormal perfusion in four regions of interest in each brain hemisphere: frontal lobe, parietal lobe, posterior temporal lobe, and temporal pole extended to the amygdalo-hippocampal complex.Results: Fifty-nine patients (44 men (75%), mean age 61.2 years) were included. Most patients had a severe COVID-19, 57 (97%) needed oxygen therapy and 43 (73%) were hospitalized in intensive care unit at the time of MRI. Morphological brain MRI was abnormal in 44 (75%) patients. ASL perfusion was abnormal in 53 (90%) patients, and particularly in all patients with normal morphological MRI. Hypoperfusion occurred in 48 (81%) patients, mostly in temporal poles (52 (44%)) and frontal lobes (40 (34%)). Hyperperfusion occurred in 9 (15%) patients and was closely associated with post-contrast FLAIR leptomeningeal enhancement (100% [66.4%-100%] of hyperperfusion with enhancement versus 28.6% [16.6%-43.2%] without, p=0.002). Studied clinical parameters (especially sedation) and other morphological MRI anomalies had no significant impact on perfusion anomalies.Conclusion: Brain ASL perfusion showed hypoperfusion in more than 80% of patients with severe COVID-19, with or without visible lesion on conventional MRI abnormalities.

Published
2023
Full Text
View/download PDF

5. Clinical Efficacy of Reduced-Dose Gadobutrol Versus Standard-Dose Gadoterate for Contrast-Enhanced MRI of the CNS: An International Multicenter Prospective Crossover Trial (LEADER-75)

Author

Pollice Saverio, Young Cheol Weon, Soenke Peters, Martin Rosenberg, Benjamin P Liu, Jan Endrikat, Annette Boeckenhoff, and François-Daniel Ardellier

Subjects
Male, CONTRAST ENHANCED MRI, Contrast Media, Gadolinium, Neuroimaging, Equivalence Trials as Topic, 030218 nuclear medicine & medical imaging, Gadobutrol, Lesion, 03 medical and health sciences, 0302 clinical medicine, Meglumine, Post-hoc analysis, medicine, Enhancing Lesion, Organometallic Compounds, Humans, Radiology, Nuclear Medicine and imaging, Prospective Studies, Aged, Cross-Over Studies, business.industry, Brain Neoplasms, General Medicine, Middle Aged, Reduced dose, Crossover study, Magnetic Resonance Imaging, Clinical trial, 030220 oncology & carcinogenesis, Female, medicine.symptom, Nuclear medicine, business, medicine.drug
Abstract

BACKGROUND. Gadobutrol and gadoterate are widely used macrocyclic gadolinium-based contrast agents. Given gadobutrol's higher T1 relaxivity, a reduced gadobutrol dose should achieve essentially equivalent diagnostic efficacy as a standard dose of gadoterate. OBJECTIVE. The purpose of our study was to show efficacy of a 25% reduced dose of gadobutrol is noninferior to 100% standard dose of gadoterate for contrast-enhanced MRI of the CNS. METHODS. In this international prospective multicenter open-label crossover trial (LEADER-75 [Lower Administered Dose With Higher Relaxivity: Gadovist vs Dotarem]), adult patients with known or suspected CNS pathology underwent contrast-enhanced brain MRI with standard-dose gadoterate (0.1 mmol/kg); if an enhancing lesion was identified, a second MRI with reduced-dose gadobutrol (0.075 mmol/kg) was performed within 15 days of the first MRI. Three radiologists independently reviewed images to score three primary efficacy measures: subjective lesion enhancement, lesion border delineation, lesion internal morphology. A noninferiority analysis used readers' mean scores of the primary efficacy measures. Noninferiority of reduced-dose gadobutrol to standard-dose gadoterate for primary efficacy measures was defined as the difference in score between reduced-dose gadobutrol images and unenhanced images achieving at least 80% of the difference in score between standard-dose gadoterate images and unenhanced images. A post hoc analysis was performed to directly compare contrast-enhanced images for equivalence. Secondary efficacy variables included the number of lesions detected, reader confidence, diagnostic performance for malignancy, and reader preference in side-by-side comparison. RESULTS. The efficacy analysis included 141 patients (78 men, 63 women; mean age, 58.5 ± 13.5 [SD] years). Improvement of reduced-dose gadobutrol over unenhanced images was noninferior to improvement of standard-dose gadoterate over unenhanced images using a 20% noninferiority margin for all three primary efficacy measures using mean readings (p ≤ .025). In the post hoc analysis, the mean reading for the three primary efficacy measures differed by less than 1% between reduced-dose gadobutrol and standard-dose gadoterate, supporting equivalence of all measures using a narrow ± 5% margin (p ≤ .025). The total number of lesions detected by mean reading was 301 for reduced-dose gadobutrol versus 291 for standard-dose gadoterate. Mean reader confidence was 3.3 ± 0.6 for reduced-dose gadobutrol versus 3.3 ± 0.6 for standard-dose gadoterate. Sensitivity (58.7%), specificity (91.8%), and accuracy (70.2%) for malignancy from majority reading were identical for reduced-dose gadobutrol and standard-dose gadoterate. Reader preference was not different (95% CI, -0.10 to 0.11). CONCLUSION. A 25% reduced dose of gadobutrol is noninferior to standard-dose gadoterate for contrast-enhanced brain MRI. CLINICAL IMPACT. Use of reduced-dose gadobutrol should be considered for brain MRI, particularly in patients undergoing multiple contrast-enhanced examinations. TRIAL REGISTRATION. ClinicalTrials.gov NCT03602339; EU Clinical Trials Register EudraCT 2018-00690-78.

Published
2021

6. Neurologic and neuroimaging findings in patients with COVID-19: A retrospective multicenter study

Author

Ghazi Hmeydia, Xavier Fabre, Géraud Forestier, Catherine Oppenheim, Manel Alleg, Julie Helms, Sophie Carré, Julien Messie, Muriel Mathieu, Grégoire Bornet, Claire Lecocq, M Edjlali-Goujon, R. Anxionnat, Jean-Christophe Brisset, Pierre-Emmanuel Zorn, Francis Schneider, Olivier Collange, Stéphane Kremer, Nadya Pyatigorskaya, François Cotton, Frédéric Ricolfi, François Lersy, Pierre-Olivier Comby, Nicolas Meyer, Jean-Christophe Ferré, Lavinia Jager, Augustin Lecler, Joseph Benzakoun, Béatrice Carsin-Nicol, Maleka Schenck, Suzana Saleme, Thibault Willaume, Emmanuelle Schmitt, Samira Fafi-Kremer, Pierre Thouant, Isaure de Beaurepaire, François Zhu, Seyyid Baloglu, Claire Boutet, Augustin Gaudemer, Federico Bolognini, Hubert Desal, Sophie Caillard, Mathieu Anheim, Jean-Marc Constans, Yannick Talla, Hélène Oesterlé, François-Daniel Ardellier, Hamid Merdji, Basile Kerleroux, Apolline Kazémi, Adel Maamar, Paul Michel Mertes, Antoine Khalil, Patrick Nesser, Mickaël Ohana, Ferhat Meziani, Jérôme Berge, Gregoire Boulouis, Les Hôptaux universitaires de Strasbourg (HUS), CHU Strasbourg, 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), Nanomédecine Régénérative (NanoRegMed), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Hôpitaux Civils de Colmar, AP-HP - Hôpital Bichat - Claude Bernard [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Centre hospitalier de Haguenau, Centre Hospitalier Universitaire de Nancy (CHU Nancy), Hôpital Marie-Madeleine [Forbach], Département de Radiologie [CHU de Rennes], Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), 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 Pontchaillou [Rennes], CHU Dijon, Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Centre Hospitalier Universitaire de Saint-Etienne (CHU de Saint-Etienne), Centre Hospitalier de Roanne (CH Roanne), CH de Roanne, CHU Limoges, Hôpital Privé d'Antony, Centre hospitalier universitaire de Nantes (CHU Nantes), CHU Bordeaux [Bordeaux], CHU Lille, CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), 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), CHirurgie, IMagerie et REgénération tissulaire de l’extrémité céphalique - Caractérisation morphologique et fonctionnelle - UR UPJV 7516 (CHIMERE), Université de Picardie Jules Verne (UPJV), Observatoire Français de la Sclérose En Plaques [Lyon] (OFSEP), Immuno-Rhumatologie Moléculaire, Nouvel Hôpital Civil de Strasbourg, Hospices Civils de Lyon (HCL), Ferré, Jean-Christophe, 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), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), 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), and Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E)

Subjects
medicine.medical_specialty, business.industry, [SCCO.NEUR]Cognitive science/Neuroscience, [SCCO.NEUR] Cognitive science/Neuroscience, Meningoencephalitis, Retrospective cohort study, medicine.disease, 3. Good health, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Pneumonia, 0302 clinical medicine, Neurologic manifestation, Internal medicine, Corticospinal tract, Cohort, medicine, Neurology (clinical), Young adult, business, 030217 neurology & neurosurgery, Encephalitis
Abstract

ObjectiveTo describe neuroimaging findings and to report the epidemiologic and clinical characteristics of patients with coronavirus disease 2019 (COVID-19) with neurologic manifestations.MethodsIn this retrospective multicenter study (11 hospitals), we included 64 patients with confirmed COVID-19 with neurologic manifestations who underwent a brain MRI.ResultsThe cohort included 43 men (67%) and 21 women (33%); their median age was 66 (range 20–92) years. Thirty-six (56%) brain MRIs were considered abnormal, possibly related to severe acute respiratory syndrome coronavirus. Ischemic strokes (27%), leptomeningeal enhancement (17%), and encephalitis (13%) were the most frequent neuroimaging findings. Confusion (53%) was the most common neurologic manifestation, followed by impaired consciousness (39%), presence of clinical signs of corticospinal tract involvement (31%), agitation (31%), and headache (16%). The profile of patients experiencing ischemic stroke was different from that of other patients with abnormal brain imaging: the former less frequently had acute respiratory distress syndrome (p= 0.006) and more frequently had corticospinal tract signs (p= 0.02). Patients with encephalitis were younger (p= 0.007), whereas agitation was more frequent for patients with leptomeningeal enhancement (p= 0.009).ConclusionsPatients with COVID-19 may develop a wide range of neurologic symptoms, which can be associated with severe and fatal complications such as ischemic stroke or encephalitis. In terms of meningoencephalitis involvement, even if a direct effect of the virus cannot be excluded, the pathophysiology seems to involve an immune or inflammatory process given the presence of signs of inflammation in both CSF and neuroimaging but the lack of virus in CSF.ClinicalTrials.gov identifierNCT04368390.

Published
2020
Full Text
View/download PDF

7. Additional file 1 of How and why do French medical students choose the specialty of infectious and tropical diseases? A national cross-sectional study

Author

Peiffer-Smadja, Nathan, François-Daniel Ardellier, Thill, Pauline, Anne-Lise Beaumont, Gaud Catho, Osei, Lindsay, Dubée, Vincent, Bleibtreu, Alexandre, Lemaignen, Adrien, and Thy, Michaël

Subjects
ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, ComputingMilieux_COMPUTERSANDEDUCATION, Data_FILES, ComputerApplications_COMPUTERSINOTHERSYSTEMS
Abstract

Additional file 1. Supplementary material: map of participating programs.

Published
2020
Full Text
View/download PDF

9. How and why do medical students choose the specialty of Infectious and Tropical Diseases? A national cross-sectional study

Author

Nathan Peiffer-Smadja, François-Daniel Ardellier, Pauline Thill, Anne-Lise Beaumont, Gaud Catho, Lindsay Osei, Vincent Dubée, Alexandre Bleibtreu, Adrien Lemaignen, and Michaël Thy

Subjects
ComputingMilieux_THECOMPUTINGPROFESSION, education, ComputingMilieux_COMPUTERSANDEDUCATION
Abstract

Background Infectious diseases (ID) physicians are more needed than ever to tackle existing and emerging global threats. However, in the US approximately one quarter of the ID fellowship programs are unfilled every year. The creation of the ID residency in 2017 in France offers the opportunity to know how and why the specialty is chosen by medical students. Methods We first analyzed the choice of specialty of all French medical students in 2017 and 2018 according to their rank at the national exam that ends medical studies. A web questionnaire was then sent on January 2019 to all ID residents in France (n=100) to assess their professional project and the factors influencing their choice of specialty. Results We analyzed the choice of 17,087 medical students. ID was the first-chosen specialty with a median national rank of 526/8539, followed by plastic surgery and ophthalmology. The questionnaire was completed by 90% of the French ID residents. The most encouraging factors to choose ID were the multi-system approach of the specialty, the importance of diagnostic medicine and having done an internship in ID during medical school. The most dissuading factors were the work-life balance, the workload and the salary. Conclusions The recent recognition of ID as a qualifying specialty in France can be considered a success insofar as the specialty is the most popular among all medical and surgical specialties. Individuals who choose ID are attracted by the intellectual simulation of the specialty but express concerns about the working conditions and salaries.

Published
2019
Full Text
View/download PDF

10. CT patterns of acute type A aortic arch dissection: longer, higher, more anterior

Author

Lucie Cassagnes, Emilie Dubots, Pascal Chabrot, Nicolas D'Ostrevy, Lemlih Ouchchane, Louis Boyer, Lionel Camilleri, François-Daniel Ardellier, chirurgie thoracique et cardio-vasculaire, CHU Clermont-Ferrand, Image Science for Interventional Techniques (ISIT), Université d'Auvergne - Clermont-Ferrand I (UdA)-Centre National de la Recherche Scientifique (CNRS)-Clermont Université, Laboratoire de Biostatistique, Informatique médicale et Technologies de la communication, CHU Clermont-Ferrand-Université d'Auvergne - Clermont-Ferrand I (UdA), Laboratoire Analyse, Géométrie et Applications (LAGA), Université Paris 8 Vincennes-Saint-Denis (UP8)-Centre National de la Recherche Scientifique (CNRS)-Institut Galilée-Université Paris 13 (UP13), Institut Pascal (IP), SIGMA Clermont (SIGMA Clermont)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), CHU Gabriel Montpied (CHU), Université d'Auvergne - Clermont-Ferrand I (UdA)-Clermont Université-Centre National de la Recherche Scientifique (CNRS), and Université Paris 8 Vincennes-Saint-Denis (UP8)-Université Paris 13 (UP13)-Institut Galilée-Centre National de la Recherche Scientifique (CNRS)

Subjects
Aortic arch, Male, False lumen, 030204 cardiovascular system & hematology, [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], Aortic arches, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], 03 medical and health sciences, 0302 clinical medicine, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], medicine.artery, medicine, Brachiocephalic artery, Humans, Radiology, Nuclear Medicine and imaging, Arch, ComputingMilieux_MISCELLANEOUS, Aged, Retrospective Studies, [STAT.AP]Statistics [stat]/Applications [stat.AP], [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], Aortic Aneurysm, Thoracic, Full Paper, business.industry, General Medicine, Anatomy, Middle Aged, Trunk, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], [MATH.MATH-PR]Mathematics [math]/Probability [math.PR], Aortic Dissection, [INFO.INFO-PF]Computer Science [cs]/Performance [cs.PF], medicine.anatomical_structure, 030228 respiratory system, Acute type, Descending aorta, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], Acute Disease, cardiovascular system, Female, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], business, Tomography, X-Ray Computed, [STAT.ME]Statistics [stat]/Methodology [stat.ME], [PHYS.PHYS.PHYS-DATA-AN]Physics [physics]/Physics [physics]/Data Analysis, Statistics and Probability [physics.data-an]
Abstract

This study analysed CT patterns of the acute dissected aortic arch using original biometric features along with comparison with normal aortas.The diagnostic CT scans of 57 patients (42 males, age (mean ± SD: 64.5 ± 13.8 years) admitted with acute Stanford type A dissection involving the aortic arch were analysed by semi-automatic detection protocol of the true lumen of the dissection. We measured the distances from the apex to the ascending and descending aorta, the curvilinear length of the entire arch and of its segments (especially between the brachiocephalic artery trunk and the left subclavian artery), as well as the surface area, angle, height and shift of the arch. These measurements were compared with results previously obtained in a healthy cohort in an analysis adjusted for age, sex and weight. The surface area and rotation of the false lumen were also analysed.Compared to normal aortic arches (N), dissected aortic arches (D) were longer (D: 155 ± 26 mm, N: 135 ± 25 mm, p = 0.002), higher (D: 51 ± 10 mm, N: 45 ± 9 mm, p = 0.04), and with a more anterior apex (shift: D: 1.19 ± 0.56, N: 1.40 ± 0.62, p = 0.007). False lumen occupied between 47-65% of the aorta, turned preferentially clockwise and its rotation decreased progressively along the arch.The morphology of the dissected aortic arch differs from that of the normal arch. Thus, our compilation of aortic arch measurements may help improve existing endovascular devices and/or design of new endoprostheses. Advances in knowledge: In this article, we provide a comprehensive set of measurements of the dissected aortic arch, and show that dissected aortic arches are longer, higher, and with a more anterior apex than normal arches.

Published
2017
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results