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Jouvenot G, Courbon G, Lefort M, Rollot F, Casey R, Le Page E, Michel L, Edan G, de Seze J, Kremer L, Bigaut K, Vukusic S, Mathey G, Ciron J, Ruet A, Maillart E, Labauge P, Zephir H, Papeix C, Defer G, Lebrun-Frenay C, Moreau T, Laplaud DA, Berger E, Stankoff B, Clavelou P, Thouvenot E, Heinzlef O, Pelletier J, Al-Khedr A, Casez O, Bourre B, Cabre P, Wahab A, Magy L, Camdessanché JP, Doghri I, Moulin S, Ben-Nasr H, Labeyrie C, Hankiewicz K, Neau JP, Pottier C, Nifle C, Collongues N, Kerbrat A. High-Efficacy Therapy Discontinuation vs Continuation in Patients 50 Years and Older With Nonactive MS. JAMA Neurol 2024:2816799. [PMID: 38526462 DOI: 10.1001/jamaneurol.2024.0395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/26/2024]
Abstract
Importance A recent randomized clinical trial concluded that discontinuing medium-efficacy therapy might be a reasonable option for older patients with nonactive multiple sclerosis (MS), but there is a lack of data on discontinuing high-efficacy therapy (HET). In younger patients, the discontinuation of natalizumab and fingolimod is associated with a risk of rebound of disease activity. Objective To determine whether discontinuing HET in patients 50 years and older with nonactive MS is associated with an increased risk of relapse compared with continuing HET. Design, Setting, and Participants This observational cohort study used data from 38 referral centers from the French MS registry (Observatoire Français de la Sclérose en Plaques [OFSEP] database). Among 84704 patients in the database, data were extracted for 1857 patients 50 years and older with relapsing-remitting MS treated by HET and with no relapse or magnetic resonance imaging activity for at least 2 years. After verification of the medical records, 1620 patients were classified as having discontinued HET or having remained taking treatment and were matched 1:1 using a dynamic propensity score (including age, sex, disease phenotype, disability, treatment of interest, and time since last inflammatory activity). Patients were included from February 2008 to November 2021, with a mean (SD) follow-up of 5.1 (2.9) years. Data were extracted in June 2022. Exposures Natalizumab, fingolimod, rituximab, and ocrelizumab. Main Outcomes and Measures Time to first relapse. Results Of 1620 included patients, 1175 (72.5%) were female, and the mean (SD) age was 54.7 (4.8) years. Among the 1452 in the HET continuation group and 168 in the HET discontinuation group, 154 patients in each group were matched using propensity scores (mean [SD] age, 57.7 [5.5] years; mean [SD] delay since the last inflammatory activity, 5.6 [3.8] years; mean [SD] follow-up duration after propensity score matching, 2.5 [2.1] years). Time to first relapse was significantly reduced in the HET discontinuation group compared with the HET continuation group (hazard ratio, 4.1; 95% CI, 2.0-8.5; P < .001) but differed between HETs, with a hazard ratio of 7.2 (95% CI, 2.1-24.5; P = .001) for natalizumab, 4.5 (95% CI, 1.3-15.5; P = .02) for fingolimod, and 1.1 (95% CI, 0.3-4.8; P = .85) for anti-CD20 therapy. Conclusion and Relevance As in younger patients, in patients 50 years and older with nonactive MS, the risk of relapse increased significantly after stopping HETs that impact immune cell trafficking (natalizumab and fingolimod). There was no significant increase in risk after stopping HETs that deplete B-cells (anti-CD20 therapy). This result may inform decisions about stopping HETs in clinical practice.
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Affiliation(s)
- Guillaume Jouvenot
- Center for Clinical Investigation, INSERM U1434, Strasbourg, France
- Biopathology of Myelin, Neuroprotection and Therapeutic Strategy, INSERM U1119, Strasbourg, France
| | - Guilhem Courbon
- Department of Neurology, University Hospital of Rennes, Rennes, France
| | - Mathilde Lefort
- University of Rennes, EHESP, CNRS, INSERM, Arènes-UMR 6051, RSMS (Recherche sur les Services et Management en Santé)-U 1309, Rennes, France
| | - Fabien Rollot
- Université de Lyon, Université Claude Bernard, Lyon, France
- Department of Neurology, Hôpital Neurologique Pierre Wertheimer, Hospices Civils de Lyon, Sclérose en Plaques, Pathologies de la Myéline et Neuro-Inflammation, Bron, France
- Centre de Recherche en Neurosciences de Lyon, Observatoire Français de La Sclérose en Plaques, INSERM 1028 and CNRS UMR 5292, Lyon, France
- Eugène Devic EDMUS Foundation Against Multiple Sclerosis, State-Approved Foundation, Bron, France
| | - Romain Casey
- Université de Lyon, Université Claude Bernard, Lyon, France
- Department of Neurology, Hôpital Neurologique Pierre Wertheimer, Hospices Civils de Lyon, Sclérose en Plaques, Pathologies de la Myéline et Neuro-Inflammation, Bron, France
- Centre de Recherche en Neurosciences de Lyon, Observatoire Français de La Sclérose en Plaques, INSERM 1028 and CNRS UMR 5292, Lyon, France
- Eugène Devic EDMUS Foundation Against Multiple Sclerosis, State-Approved Foundation, Bron, France
| | - Emmanuelle Le Page
- Department of Neurology, University Hospital of Rennes, Rennes, France
- CIC-P 1414 INSERM, University Hospital of Rennes, Rennes, France
| | - Laure Michel
- Department of Neurology, University Hospital of Rennes, Rennes, France
- CIC-P 1414 INSERM, University Hospital of Rennes, Rennes, France
| | - Gilles Edan
- Department of Neurology, University Hospital of Rennes, Rennes, France
- CIC-P 1414 INSERM, University Hospital of Rennes, Rennes, France
| | - Jérome de Seze
- Center for Clinical Investigation, INSERM U1434, Strasbourg, France
- Biopathology of Myelin, Neuroprotection and Therapeutic Strategy, INSERM U1119, Strasbourg, France
- Department of Neurology, University Hospital of Strasbourg, Strasbourg, France
| | - Laurent Kremer
- Biopathology of Myelin, Neuroprotection and Therapeutic Strategy, INSERM U1119, Strasbourg, France
- Department of Neurology, University Hospital of Strasbourg, Strasbourg, France
| | - Kevin Bigaut
- Biopathology of Myelin, Neuroprotection and Therapeutic Strategy, INSERM U1119, Strasbourg, France
- Department of Neurology, University Hospital of Strasbourg, Strasbourg, France
| | - Sandra Vukusic
- Université de Lyon, Université Claude Bernard, Lyon, France
- Department of Neurology, Hôpital Neurologique Pierre Wertheimer, Hospices Civils de Lyon, Sclérose en Plaques, Pathologies de la Myéline et Neuro-Inflammation, Bron, France
- Centre de Recherche en Neurosciences de Lyon, Observatoire Français de La Sclérose en Plaques, INSERM 1028 and CNRS UMR 5292, Lyon, France
- Eugène Devic EDMUS Foundation Against Multiple Sclerosis, State-Approved Foundation, Bron, France
| | - Guillaume Mathey
- Department of Neurology, Nancy University Hospital, Nancy, France
- Université de Lorraine, APEMAC, Nancy, France
| | - Jonathan Ciron
- CRC-SEP, Department of Neurology, CHU de Toulouse, Toulouse, France
| | - Aurélie Ruet
- Department of Neurology, CHU de Bordeaux, CIC Bordeaux CIC1401, Bordeaux, France
| | - Elisabeth Maillart
- Département de Neurologie, Hôpital Pitié-Salpêtrière, APHP, Centre de Ressources et de Compétences SEP, Paris, France
| | | | | | - Caroline Papeix
- Department of Neurology, Fondation Rothschild, Paris, France
| | - Gilles Defer
- Department of Neurology, MS Expert Centre, CHU de Caen, Caen, France
| | - Christine Lebrun-Frenay
- Neurology, UR2CA-URRIS, Centre Hospitalier Universitaire Pasteur2, Université Nice Côte d'Azur, Nice, France
| | | | - David Axel Laplaud
- Department of Neurology, CHU de Nantes, Nantes, France
- Nantes Université, CHU Nantes, INSERM, CIC 14131413, Center for Research in Translational Immunology, UMR 1064, Nantes, France
| | - Eric Berger
- Service de Neurologie, CHU de Besançon, Besançon, France
| | - Bruno Stankoff
- Department of Neurology, AP-HP, Saint-Antoine Hospital, Paris, France
| | - Pierre Clavelou
- Department of Neurology, CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - Eric Thouvenot
- Department of Neurology, Nimes University Hospital, Nimes, France
| | | | - Jean Pelletier
- Service de Neurologie, APHM, Hôpital de la Timone, Pôle de Neurosciences Cliniques, Marseille, France
| | | | - Olivier Casez
- CHU Grenoble Alpes, Department of Neurology, Neurology MS Clinic Grenoble, Grenoble Alpes University Hospital, Grenoble, France
| | | | - Philippe Cabre
- Department of Neurology, CHU de la Martinique, Fort-de-France, France
| | - Abir Wahab
- Department of Neurology, APHP, Hôpital Henri Mondor, Créteil, France
| | - Laurent Magy
- Department of Neurology, CHU de Limoges, Hôpital Dupuytren, Limoges, France
| | | | - Ines Doghri
- Department of Neurology, CHU de Tours, Hôpital Bretonneau, Tours, France
| | - Solène Moulin
- Department of Neurology, CHU de Reims, CRC-SEP, Reims, France
| | - Haifa Ben-Nasr
- Hôpital Sud Francilien, Department of Neurology, Corbeil-Essonnes, France
| | - Céline Labeyrie
- Department of Neurology, CHU Bicêtre, Le Kremlin-Bicêtre, France
| | - Karolina Hankiewicz
- Department of Neurology, Hôpital Pierre Delafontaine, Centre Hospitalier de Saint-Denis, Saint-Denis, France
| | - Jean-Philippe Neau
- Department of Neurology, CHU La Milétrie, Hôpital Jean Bernard, Poitiers, France
| | - Corinne Pottier
- Department of Neurology, CH de Pontoise, Hôpital René Dubos, Pontoise, France
| | - Chantal Nifle
- Departement of Neurology, Centre Hospitalier de Versailles, Le Chesnay, France
| | - Nicolas Collongues
- Center for Clinical Investigation, INSERM U1434, Strasbourg, France
- Biopathology of Myelin, Neuroprotection and Therapeutic Strategy, INSERM U1119, Strasbourg, France
- Department of Neurology, University Hospital of Strasbourg, Strasbourg, France
- Department of Pharmacology, Addictology, Toxicology and Therapeutics, Strasbourg University, Strasbourg, France
| | - Anne Kerbrat
- Department of Neurology, University Hospital of Rennes, Rennes, France
- CIC-P 1414 INSERM, University Hospital of Rennes, Rennes, France
- Empenn U1228, University of Rennes, Inria, CNRS, INSERM, IRISA UMR 6074, Rennes, France
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Benallegue N, Rollot F, Wiertlewski S, Casey R, Debouverie M, Kerbrat A, De Seze J, Ciron J, Ruet A, Labauge P, Maillart E, Zephir H, Papeix C, Defer G, Lebrun-Frenay C, Moreau T, Berger E, Stankoff B, Clavelou P, Heinzlef O, Pelletier J, Thouvenot E, Al Khedr A, Bourre B, Casez O, Cabre P, Wahab A, Magy L, Vukusic S, Laplaud DA. Highly Effective Therapies as First-Line Treatment for Pediatric-Onset Multiple Sclerosis. JAMA Neurol 2024; 81:273-282. [PMID: 38345791 PMCID: PMC10862269 DOI: 10.1001/jamaneurol.2023.5566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 12/07/2023] [Indexed: 02/15/2024]
Abstract
Importance Moderately effective therapies (METs) have been the main treatment in pediatric-onset multiple sclerosis (POMS) for years. Despite the expanding use of highly effective therapies (HETs), treatment strategies for POMS still lack consensus. Objective To assess the real-world association of HET as an index treatment compared with MET with disease activity. Design, Setting, and Participants This was a retrospective cohort study conducted from January 1, 2010, to December 8, 2022, until the last recorded visit. The median follow-up was 5.8 years. A total of 36 French MS centers participated in the Observatoire Français de la Sclérose en Plaques (OFSEP) cohort. Of the total participants in OFSEP, only treatment-naive children with relapsing-remitting POMS who received a first HET or MET before adulthood and at least 1 follow-up clinical visit were included in the study. All eligible participants were included in the study, and none declined to participate. Exposure HET or MET at treatment initiation. Main Outcomes and Measures The primary outcome was the time to first relapse after treatment. Secondary outcomes were annualized relapse rate (ARR), magnetic resonance imaging (MRI) activity, time to Expanded Disability Status Scale (EDSS) progression, tertiary education attainment, and treatment safety/tolerability. An adapted statistical method was used to model the logarithm of event rate by penalized splines of time, allowing adjustment for effects of covariates that is sensitive to nonlinearity and interactions. Results Of the 3841 children (5.2% of 74 367 total participants in OFSEP), 530 patients (mean [SD] age, 16.0 [1.8] years; 364 female [68.7%]) were included in the study. In study patients, both treatment strategies were associated with a reduced risk of first relapse within the first 2 years. HET dampened disease activity with a 54% reduction in first relapse risk (adjusted hazard ratio [HR], 0.46; 95% CI, 0.31-0.67; P < .001) sustained over 5 years, confirmed on MRI activity (adjusted odds ratio [OR], 0.34; 95% CI, 0.18-0.66; P = .001), and with a better tolerability pattern than MET. The risk of discontinuation at 2 years was 6 times higher with MET (HR, 5.97; 95% CI, 2.92-12.20). The primary reasons for treatment discontinuation were lack of efficacy and intolerance. Index treatment was not associated with EDSS progression or tertiary education attainment (adjusted OR, 0.51; 95% CI, 0.24-1.10; P = .09). Conclusions and Relevance Results of this cohort study suggest that compared with MET, initial HET in POMS was associated with a reduction in the risk of first relapse with an optimal outcome within the first 2 years and was associated with a lower rate of treatment switching and a better midterm tolerance in children. These findings suggest prioritizing initial HET in POMS, although long-term safety studies are needed.
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Affiliation(s)
- Nail Benallegue
- Department of Paediatric Neurology, Universitaire Angers, CHU Angers, Angers, France
- Nantes Université, CHU Nantes, Inserm, CIC 14131413, Center for Research in Transplantation and Translational Immunology, UMR 1064, Nantes, France
| | - Fabien Rollot
- Université de Lyon, Université Claude Bernard, Lyon 1, Lyon, France
- Department of Neurology, Hôpital Neurologique Pierre Wertheimer, Hospices Civils de Lyon, Sclérose en Plaques, Pathologies de la Myéline et Neuro-Infammation, Bron, France
- Centre de Recherche en Neurosciences de Lyon, Observatoire Français de La Sclérose en Plaques, Inserm 1028 et CNRS UMR 5292, Lyon, France
- EUGENE DEVIC EDMUS Foundation Against Multiple Sclerosis, State-Approved Foundation, Bron, France
| | - Sandrine Wiertlewski
- Nantes Université, CHU Nantes, Inserm, CIC 14131413, Center for Research in Transplantation and Translational Immunology, UMR 1064, Nantes, France
- Department of Neurology, CHU Nantes, Nantes, France
| | - Romain Casey
- Université de Lyon, Université Claude Bernard, Lyon 1, Lyon, France
- Department of Neurology, Hôpital Neurologique Pierre Wertheimer, Hospices Civils de Lyon, Sclérose en Plaques, Pathologies de la Myéline et Neuro-Infammation, Bron, France
- Centre de Recherche en Neurosciences de Lyon, Observatoire Français de La Sclérose en Plaques, Inserm 1028 et CNRS UMR 5292, Lyon, France
- EUGENE DEVIC EDMUS Foundation Against Multiple Sclerosis, State-Approved Foundation, Bron, France
| | - Marc Debouverie
- Department of Neurology, Centre Hospitalier Régional Et Universitaire de Nancy, Université de Lorraine, 4360 APEMAC Vandoeuvre-Lès-Nancy, EA, France
| | - Anne Kerbrat
- Rennes University, CHU Rennes, CRC-SEP Neurology Department, and EMPENN U 1228, Inserm, INRIA, CNRS, Rennes, France
| | - Jérôme De Seze
- Department of Neurology Et Centre d’Investigation Clinique, CHU de Strasbourg, INSERM 1434, Strasbourg, France
| | - Jonathan Ciron
- Department of Neurology, CRC-SEP, CHU de Toulouse, Hôpital Pierre-Paul Riquet, Toulouse, France
- Institut Toulousain Des Maladies Infectieuses Et Inflammatoires (Infinity), Inserm UMR 1291, CNRS UMR 5051, Université Toulouse III, Toulouse, France
| | - Aurelie Ruet
- Department of Neurology, CHU de Bordeaux, Bordeaux, France
- Université de Bordeaux, Inserm, Neurocentre Magendie, U1215 Bordeaux, France
| | - Pierre Labauge
- CRC SEP, Department of Neurology, Montpellier Universitary Hospital, Montpellier, France
| | | | - Helene Zephir
- Pôle Des Neurosciences Et de L’appareil Locomoteur, CRC-SEP, Hôpital Roger Salengro, Université de Lille, Inserm U1172, Lille, France
| | - Caroline Papeix
- Département of Neurology, Hôpital Fondation A.de Rothschild, Paris, France
| | - Gilles Defer
- Department of Neurology, Centre Expert SEP, CHU de Caen, Université Normandie, Caen, France
| | - Christine Lebrun-Frenay
- CRC-SEP Neurologie Pasteur 2, CHU de Nice, Université Cote d’Azur, UMR2CA (URRIS), Nice, France
| | | | - Eric Berger
- Department of Neurology, CHU de Besançon, Besançon, France
| | - Bruno Stankoff
- Department of Neurology, CHU Saint-Antoine, Paris, France
| | - Pierre Clavelou
- Department of Neurology, CHU de Clermont-Ferrand, Clermont-Ferrand, France
| | - Olivier Heinzlef
- Département de Neurologie, Centre Hospitalier de Poissy, St Germain, France
| | - Jean Pelletier
- Aix Marseille Univ, APHM, Hôpital de la Timone, Pôle de Neurosciences Cliniques, Service de Neurologie – MICeME, CRMBM CEMEREM UMR7339, Marseille, France
| | - Eric Thouvenot
- Department of Neurology, CHU de Nîmes, Nîmes, France
- IGF, University Montpellier, CNRS, Inserm, Montpellier, France
| | | | | | - Olivier Casez
- Department of Neurology, CHU de Grenoble, Grenoble, France
| | - Philippe Cabre
- Department of Neurology, CHU de Fort de France, Fort de France, France
| | - Abir Wahab
- Department of Neurology, Assistance Publique des Hôpitaux de Paris, Hôpital Henri Mondor, Université Paris Est, Créteil, France
| | - Laurent Magy
- Department of Neurology, CHU de Limoges, Limoges, France
| | - Sandra Vukusic
- Université de Lyon, Université Claude Bernard, Lyon 1, Lyon, France
- Department of Neurology, Hôpital Neurologique Pierre Wertheimer, Hospices Civils de Lyon, Sclérose en Plaques, Pathologies de la Myéline et Neuro-Infammation, Bron, France
- Centre de Recherche en Neurosciences de Lyon, Observatoire Français de La Sclérose en Plaques, Inserm 1028 et CNRS UMR 5292, Lyon, France
- EUGENE DEVIC EDMUS Foundation Against Multiple Sclerosis, State-Approved Foundation, Bron, France
| | - David-Axel Laplaud
- Nantes Université, CHU Nantes, Inserm, CIC 14131413, Center for Research in Transplantation and Translational Immunology, UMR 1064, Nantes, France
- Department of Neurology, CHU Nantes, Nantes, France
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Collongues N, Durand-Dubief F, Lebrun-Frenay C, Audoin B, Ayrignac X, Bensa C, Bigaut K, Bourre B, Carra-Dallière C, Ciron J, Defer G, Kwiatkowski A, Leray E, Maillart E, Marignier R, Mathey G, Morel N, Thouvenot E, Zéphir H, Boucher J, Boutière C, Branger P, Da Silva A, Demortière S, Guillaume M, Hebant B, Januel E, Kerbrat A, Manchon E, Moisset X, Montcuquet A, Pierret C, Pique J, Poupart J, Prunis C, Roux T, Schmitt P, Androdias G, Cohen M. Cancer and multiple sclerosis: 2023 recommendations from the French Multiple Sclerosis Society. Mult Scler 2024:13524585231223880. [PMID: 38357870 DOI: 10.1177/13524585231223880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2024]
Abstract
BACKGROUND Epidemiological data reveal that 45% of persons with multiple sclerosis (PwMS) in France are more than 50 years. This population more than 50 is more susceptible to cancer, and this risk may be increased by frequent use of immunosuppressive drugs. Consequently, concerns have arisen about the potential increased risk of cancer in PwMS and how patients should be screened and managed in terms of cancer risk. OBJECTIVE To develop evidence-based recommendations to manage the coexistence of cancer and multiple sclerosis (MS). METHODS The French Group for Recommendations in MS collected articles from PubMed and university databases covering the period January 1975 through June 2022. The RAND/UCLA method was employed to achieve formal consensus. MS experts comprehensively reviewed the full-text articles and developed the initial recommendations. A group of multidisciplinary health care specialists then validated the final proposal. RESULTS Five key questions were addressed, encompassing various topics such as cancer screening before or after initiating a disease-modifying therapy (DMT), appropriate management of MS in the context of cancer, recommended follow-up for cancer in patients receiving a DMT, and the potential reintroduction of a DMT after initial cancer treatment. A strong consensus was reached for all 31 recommendations. CONCLUSION These recommendations propose a strategic approach to managing cancer risk in PwMS.
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Affiliation(s)
- Nicolas Collongues
- Department of Neurology, University Hospital of Strasbourg, Strasbourg, France
- Center for Clinical Investigation, INSERM U1434, Strasbourg, France
- Biopathology of Myelin, Neuroprotection and Therapeutic Strategy, INSERM U1119, Strasbourg, France
- Department of Pharmacology, Addictology, Toxicology, and Therapeutics, Strasbourg University, Strasbourg, France
| | - Françoise Durand-Dubief
- Service de Sclérose en Plaques, Pathologies de la Myéline et Neuro-Inflammation, Hôpital Neurologique Pierre Wertheimer, Bron, France
| | - Christine Lebrun-Frenay
- Department of Neurology, CHU Nice, Nice, France
- Université Côte d'Azur, UMR2CA-URRIS, Nice, France
| | - Bertrand Audoin
- Department of Neurology, CRMBM, APHM, Aix-Marseille University, Marseille, France
| | - Xavier Ayrignac
- Department of Neurology, Montpellier University Hospital, Montpellier, France
- University of Montpellier, Montpellier, France
- INM, INSERM, Montpellier, France
| | - Caroline Bensa
- Department of Neurology, Hôpital Fondation Adolphe de Rothschild, Paris, France
| | - Kévin Bigaut
- Department of Neurology, University Hospital of Strasbourg, Strasbourg, France
- Biopathology of Myelin, Neuroprotection and Therapeutic Strategy, INSERM U1119, Strasbourg, France
| | | | | | - Jonathan Ciron
- CHU de Toulouse, CRC-SEP, Department of Neurology, Toulouse, France
- Université Toulouse III, Infinity, INSERM UMR1291-CNRS UMR5051, Toulouse, France
| | - Gilles Defer
- Department of Neurology, Caen University Hospital, Caen, France
| | - Arnaud Kwiatkowski
- Department of Neurology, Lille Catholic University, Lille Catholic Hospitals, Lille, France
| | - Emmanuelle Leray
- Université de Rennes, EHESP, CNRS, INSERM, ARENES-UMR 6051, RSMS-U1309, Rennes, France
| | | | - Romain Marignier
- Service de Sclérose en Plaques, Pathologies de la Myéline et Neuro-Inflammation, Hôpital Neurologique Pierre Wertheimer, Bron, France
| | - Guillaume Mathey
- Department of Neurology, Nancy University Hospital, Nancy, France
| | - Nathalie Morel
- Service de Neurologie, Centre Hospitalier Annecy Genevois, Epagny-Metz-Tessy, France
| | - Eric Thouvenot
- Service de Neurologie, CHU de Nîmes, Nîmes, France
- Institut de Génomique Fonctionnelle, Université de Montpellier, CNRS, INSERM, Montpellier, France
| | - Hélène Zéphir
- University of Lille, INSERM U1172, CHU de Lille, Lille, France
| | - Julie Boucher
- Department of Neurology, CHU de Lille, Lille, France
| | - Clémence Boutière
- Department of Neurology, University Hospital of Marseille, Marseille, France
| | - Pierre Branger
- Service de Neurologie, CHU de Caen Normandie, Caen, France
| | - Angélique Da Silva
- Breast Cancer Unit, Centre François Baclesse, Institut Normand du Sein, Caen, France
| | - Sarah Demortière
- Department of Neurology, CRMBM, APHM, Aix-Marseille University, Marseille, France
| | | | | | - Edouard Januel
- Sorbonne Université, Paris, France/Institut Pierre Louis d'Epidémiologie et de Santé Publique, AP-HP, Hôpital Pitié Salpêtrière, Département de Santé Publique, Paris, France
- Département de Neurologie, Hôpital Pitié Salpêtrière, AP-HP, Paris, France
| | - Anne Kerbrat
- Service de Neurologie, CHU de Rennes, France
- EMPENN U1228, INSERM-INRIA, Rennes, France
| | - Eric Manchon
- Service de Neurologie, Centre Hospitalier de Gonesse, Gonesse, France
| | - Xavier Moisset
- Université Clermont Auvergne, CHU Clermont-Ferrand, INSERM, Neuro-Dol, Clermont-Ferrand, France
| | | | - Chloé Pierret
- Université de Rennes, EHESP, CNRS, INSERM, ARENES-UMR 6051, RSMS U-1309, Rennes, France
| | - Julie Pique
- Service de Sclérose en Plaques, Pathologies de la Myéline et Neuro-Inflammation, Hôpital Neurologique Pierre Wertheimer, Bron, France
| | - Julien Poupart
- Department of Neurology and U995-LIRIC-Lille Inflammation Research International Center, INSERM, University of Lille, CHU Lille, Lille, France
| | - Chloé Prunis
- Department of Neurology, Nancy University Hospital, Nancy, France
| | - Thomas Roux
- Hôpital La Pitié-Salpêtrière, Service de Neurologie, Paris, France
- CRC-SEP Paris. Centre des maladies inflammatoires rares du cerveau et de la moelle de l'enfant et de l'adulte (Mircem)
| | | | - Géraldine Androdias
- Service de Sclérose en Plaques, Pathologies de la Myéline et Neuro-Inflammation, Service de Neurologie, Hôpital Neurologique Pierre Wertheimer, Bron, France
- Clinique de la Sauvegarde-Ramsay Santé, Lyon, France
| | - Mikael Cohen
- Department of Neurology, CHU Nice, Nice, France/Université Côte d'Azur, UMR2CA-URRIS, Nice, France
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Merkler B, Masson A, Ferré JC, Bajeux E, Edan G, Michel L, Page EL, Leclercq M, Pegat B, Lamy S, Corre GL, Ahrweiler K, Zagnoli F, Maréchal D, Combès B, Kerbrat A. Impact of automatic tools for detecting new lesions on therapeutic strategies offered to patients with MS by neurologists. Mult Scler Relat Disord 2023; 80:105064. [PMID: 37866026 DOI: 10.1016/j.msard.2023.105064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 09/16/2023] [Accepted: 10/08/2023] [Indexed: 10/24/2023]
Abstract
BACKGROUND Automatic tools for detecting new lesions in patients with MS between two MRI scans are now available to clinicians. They have been assessed from the radiologist's point of view, but their impact on the therapeutic strategies that neurologists offer their patients has not yet been documented. OBJECTIVES To compare neurologist's decisions according to whether a lesion detection support system had been used and describe variability between neurologists on decision-making for the same clinical cases. METHODS We submitted 28 clinical cases associated with pairs of MRI images and radiological reports (produced by the same radiologist without vs. with the help of a system to detect new lesions) to 10 neurologists who regularly follow patients with MS. They examined each clinical case twice (without vs. with support system) in two sessions several weeks apart, and their patient management decisions were recorded. RESULTS There was considerable variability between neurologists on decision-making (both with and without support system). When the support system had been used, neurologists more often made changes to patient management (75 % vs. 68 % of cases, p = 0.01) and spent significantly less time analyzing the clinical cases (249 s vs. 216 s, p == 3.10-4). CONCLUSION The use of a lesion detection support system has an impact not only on radiologists' reports, but also on neurologists' subsequent decision-making. This observation constitutes another strong argument for promoting the wider use of such systems in clinical routine. However, despite their use, there is still considerable variability in decision-making across neurologists, which should encourage us to refine the guidelines.
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Affiliation(s)
| | - Arthur Masson
- EMPENN research team, IRISA, CNRS‑INSERM‑INRIA, Rennes University, France
| | - Jean Christophe Ferré
- EMPENN research team, IRISA, CNRS‑INSERM‑INRIA, Rennes University, France; Radiology Department, Rennes University Hospital, Rennes, France
| | - Emma Bajeux
- Public Health and Epidemiology Department, Rennes University Hospital, Rennes, France
| | - Gilles Edan
- EMPENN research team, IRISA, CNRS‑INSERM‑INRIA, Rennes University, France; Neurology Department, Rennes University Hospital, Rennes, France
| | - Laure Michel
- Neurology Department, Rennes University Hospital, Rennes, France
| | | | - Marion Leclercq
- Neurology Department, Rennes University Hospital, Rennes, France
| | - Benoit Pegat
- Neurology Department, Vannes Hospital, Vannes, France
| | - Simon Lamy
- Neurology Department, Rennes University Hospital, Rennes, France
| | | | - Kevin Ahrweiler
- Neurology Department, Saint Malo Hospital, Saint Malo, France
| | - Fabien Zagnoli
- Private neurology office, 22 Rue d'Aiguillon Brest, France
| | - Denis Maréchal
- Neurology Department, Brest University Hospital, Brest, France
| | - Benoît Combès
- EMPENN research team, IRISA, CNRS‑INSERM‑INRIA, Rennes University, France
| | - Anne Kerbrat
- EMPENN research team, IRISA, CNRS‑INSERM‑INRIA, Rennes University, France; Neurology Department, Rennes University Hospital, Rennes, France.
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5
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Snoussi H, Cohen‐Adad J, Combès B, Bannier É, Tounekti S, Kerbrat A, Barillot C, Caruyer E. Effectiveness of regional diffusion MRI measures in distinguishing multiple sclerosis abnormalities within the cervical spinal cord. Brain Behav 2023; 13:e3159. [PMID: 37775975 PMCID: PMC10636413 DOI: 10.1002/brb3.3159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 07/03/2023] [Accepted: 07/06/2023] [Indexed: 10/01/2023] Open
Abstract
INTRODUCTION Multiple sclerosis (MS) is an inflammatory disorder of the central nervous system. Although conventional magnetic resonance imaging (MRI) is widely used for MS diagnosis and clinical follow-up, quantitative MRI has the potential to provide valuable intrinsic values of tissue properties that can enhance accuracy. In this study, we investigate the efficacy of diffusion MRI in distinguishing MS lesions within the cervical spinal cord, using a combination of metrics extracted from diffusion tensor imaging and Ball-and-Stick models. METHODS We analyzed spinal cord data acquired from multiple hospitals and extracted average diffusion MRI metrics per vertebral level using a collection of image processing methods and an atlas-based approach. We then performed a statistical analysis to evaluate the feasibility of these metrics for detecting lesions, exploring the usefulness of combining different metrics to improve accuracy. RESULTS Our study demonstrates the sensitivity of each metric to underlying microstructure changes in MS patients. We show that selecting a specific subset of metrics, which provide complementary information, significantly improves the prediction score of lesion presence in the cervical spinal cord. Furthermore, the Ball-and-Stick model has the potential to provide novel information about the microstructure of damaged tissue. CONCLUSION Our results suggest that diffusion measures, particularly combined measures, are sensitive in discriminating abnormal from healthy cervical vertebral levels in patients. This information could aid in improving MS diagnosis and clinical follow-up. Our study highlights the potential of the Ball-and-Stick model in providing additional insights into the microstructure of the damaged tissue.
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Affiliation(s)
- Haykel Snoussi
- Univ Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, Empenn ERL U 1228, Rennes, FranceUniversité de Rennes, CNRS, Inria, Inserm, IRISA UMR 6074RennesFrance
- Department of RadiologyBoston Children's Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Julien Cohen‐Adad
- NeuroPoly LabInstitute of Biomedical Engineering, Polytechnique MontrealMontrealQuebecCanada
- Functional Neuroimaging UnitCRIUGM, Université de MontréalMontréalQuebecCanada
- Mila – Quebec AI InstituteMontréalQuebecCanada
| | - Benoît Combès
- Univ Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, Empenn ERL U 1228, Rennes, FranceUniversité de Rennes, CNRS, Inria, Inserm, IRISA UMR 6074RennesFrance
| | - Élise Bannier
- Univ Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, Empenn ERL U 1228, Rennes, FranceUniversité de Rennes, CNRS, Inria, Inserm, IRISA UMR 6074RennesFrance
- Department of RadiologyRennes University HospitalRennesFrance
| | - Slimane Tounekti
- Department of RadiologyThomas Jefferson UniversityPhiladelphiaPennsylvaniaUSA
| | - Anne Kerbrat
- Departement of NeurologyRennes University HospitalRennesFrance
| | - Christian Barillot
- Univ Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, Empenn ERL U 1228, Rennes, FranceUniversité de Rennes, CNRS, Inria, Inserm, IRISA UMR 6074RennesFrance
| | - Emmanuel Caruyer
- Univ Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, Empenn ERL U 1228, Rennes, FranceUniversité de Rennes, CNRS, Inria, Inserm, IRISA UMR 6074RennesFrance
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6
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Chappuis M, Rousseau C, Bajeux E, Wiertlewski S, Laplaud D, Le Page E, Michel L, Edan G, Kerbrat A. Discontinuation of second- versus first-line disease-modifying treatment in middle-aged patients with multiple sclerosis. J Neurol 2023; 270:413-422. [PMID: 36121558 DOI: 10.1007/s00415-022-11341-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 08/09/2022] [Accepted: 08/17/2022] [Indexed: 01/07/2023]
Abstract
BACKGROUND AND PURPOSE There has been scant research on the consequences of discontinuing second-line disease-modifying treatment (DMT) in middle-aged patients with multiple sclerosis (MS). The objective was therefore to examine the occurrence of focal inflammatory activity after the discontinuation of second versus first-line DMT in patients over 45 years. METHODS Patients who had been treated for at least 6 months with second (natalizumab, fingolimod, anti CD20) or first-line DMT and who stopped their DMT were retrospectively included. Kaplan-Meier survival curves were used to study the occurrence of relapse and MRI activity according to the type of DMT stopped. Proportional hazard Cox models were calculated to identify factors associated with focal inflammatory activity. The annualized relapse rate was calculated under treatment and for every 3 months after DMT discontinuation. RESULTS We included 232 patients (median age: 52.8 years), 49 of whom stopped second-line DMT. The probability of having a relapse within the year following discontinuation was 6% for first-line DMT, 9% for fingolimod and 43% for natalizumab. In multivariate analysis, the probability of relapse after DMT discontinuation was significantly increased with natalizumab compared to first-line DMT (HR = 3.24; 95% CI [1.52; 6.90]). A peak of relapse was observed at 0-3 months after stopping natalizumab or fingolimod. CONCLUSION Our study suggests that the risk of inflammatory activity is greater after discontinuation of natalizumab compared to other DMT even in middle-aged patients. As for younger patients, natalizumab discontinuation should only be considered if there is an adequate substitution of a different therapy. .
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Affiliation(s)
- Maëlle Chappuis
- Department of Neurology, University Hospital, Rennes, France.
| | - Chloé Rousseau
- Research Management Department, University Hospital, Rennes, France
| | - Emma Bajeux
- Department of Epidemiology and Public Health, University Hospital, Rennes, France
| | | | - David Laplaud
- Department of Neurology, University Hospital, Nantes, France
| | - Emmanuelle Le Page
- Department of Neurology, University Hospital, Rennes, France.,CIC-P 1414 Inserm, University Hospital, Rennes, France
| | - Laure Michel
- Department of Neurology, University Hospital, Rennes, France.,CIC-P 1414 Inserm, University Hospital, Rennes, France
| | - Gilles Edan
- Department of Neurology, University Hospital, Rennes, France.,CIC-P 1414 Inserm, University Hospital, Rennes, France
| | - Anne Kerbrat
- Department of Neurology, University Hospital, Rennes, France.,CIC-P 1414 Inserm, University Hospital, Rennes, France
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7
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Lescot L, Lefort M, Leguy S, Le Page E, Vukusic S, Edan G, Kerbrat A, Lebrun-Frenay C, De Sèze J, Laplaud DA, Wiertlewski S, Leray E, Michel L. Disease modifying therapies and disease activity during pregnancy and postpartum in a contemporary cohort of relapsing Multiple Sclerosis patients. Mult Scler Relat Disord 2022; 68:104122. [PMID: 36037756 DOI: 10.1016/j.msard.2022.104122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 08/14/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND In Multiple Sclerosis (MS) women, therapeutic management for pregnancy planning and during pregnancy still represents a challenge regarding timing of disease-modifying therapies (DMT) stop, risk of disease reactivation and potential fetal toxicity. The objective of this study was to describe disease activity during pregnancy and postpartum depending on treatment status before conception in women with MS. METHODS 339 MS patients who have achieved a pregnancy between 2007 and 2017 were included. Women were classified according to their exposure to DMT in the 18 months period prior to pregnancy (untreated / first- / second/third-line treatment). RESULTS 122 women were not exposed to DMT prior to conception, whereas 147 were exposed to first-line DMT and 70 to second/third line DMT (73% to natalizumab and 23% to fingolimod) before conception. In the first-line group, the ARR decreased from 0.39 during the year before conception to 0.21 during pregnancy, whereas it increased in the second/third-line group from 0.59 to 0.78. 47.1% of the second/third-line group faced at least one relapse during pregnancy and the time from conception to first relapse was significantly shorter in this group (p < 10-4). The risk of relapse during pregnancy and postpartum was associated with occurrence of pre-conception relapses and second/third line DMT exposure before pregnancy. CONCLUSION Careful consideration should be given to natalizumab and fingolimod exposed patients before conception as they are at higher risk of reactivation of MS during pregnancy.
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Affiliation(s)
- Lucile Lescot
- Neurology Department, CRCSEP, Rennes Clinical Investigation Centre CIC-P 1414, Service de Neurologie, CHU Pontchaillou, Rennes University Hospital Rennes University INSERM, Rennes 35033, France
| | - Mathilde Lefort
- EHESP, CNRS, Inserm, Arènes - UMR 6051, RSMS (Recherche sur les Services et Management en Santé) - U 1309, University Rennes, Rennes F-35000, France
| | - Soizic Leguy
- Neurology Department, CRCSEP, Rennes Clinical Investigation Centre CIC-P 1414, Service de Neurologie, CHU Pontchaillou, Rennes University Hospital Rennes University INSERM, Rennes 35033, France
| | - Emmanuelle Le Page
- Neurology Department, CRCSEP, Rennes Clinical Investigation Centre CIC-P 1414, Service de Neurologie, CHU Pontchaillou, Rennes University Hospital Rennes University INSERM, Rennes 35033, France
| | - Sandra Vukusic
- Service de neurologie, Sclérose en plaques, Pathologies de la myéline et neuro-inflammation et centre de recherche, Ressources et compétences sur la sclérose en plaques, Hospices civils de Lyon, Bron 69677, France; Inserm 1028 et CNRS UMR 5292, Observatoire français de la sclérose en plaques, Centre de recherche en neurosciences de Lyon, Lyon 69003, France; Université de Lyon, Université Claude-Bernard Lyon 1, Lyon 69000, France; Eugène Devic EDMUS Foundation against multiple sclerosis, State-approved foundation, Bron 69677, France
| | - Gilles Edan
- Neurology Department, CRCSEP, Rennes Clinical Investigation Centre CIC-P 1414, Service de Neurologie, CHU Pontchaillou, Rennes University Hospital Rennes University INSERM, Rennes 35033, France
| | - Anne Kerbrat
- Neurology Department, CRCSEP, Rennes Clinical Investigation Centre CIC-P 1414, Service de Neurologie, CHU Pontchaillou, Rennes University Hospital Rennes University INSERM, Rennes 35033, France
| | | | - Jérome De Sèze
- Centre d'investigation clinique, INSERM U1434, Centre Hospitalier Universitaire de Strasbourg, 1 Place de l'Hôpital, Strasbourg 67000, France
| | - David Axel Laplaud
- Centre de Recherche en Transplantation et Immunologie UMR1064, INSERM, Université de Nantes, Nantes, France
| | - Sandrine Wiertlewski
- Centre de Recherche en Transplantation et Immunologie UMR1064, INSERM, Université de Nantes, Nantes, France
| | - Emmanuelle Leray
- EHESP, CNRS, Inserm, Arènes - UMR 6051, RSMS (Recherche sur les Services et Management en Santé) - U 1309, University Rennes, Rennes F-35000, France
| | - Laure Michel
- Neurology Department, CRCSEP, Rennes Clinical Investigation Centre CIC-P 1414, Service de Neurologie, CHU Pontchaillou, Rennes University Hospital Rennes University INSERM, Rennes 35033, France; Microenvironment, Cell Differentiation, Immunology and Cancer unit, INSERM, Rennes I University, French Blood Agency, Rennes, France.
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8
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Ed‐driouch C, Chéneau F, Simon F, Pasquier G, Combès B, Kerbrat A, Le Page E, Limou S, Vince N, Laplaud D, Mars F, Dumas C, Edan G, Gourraud P. Multiple sclerosis clinical decision support system based on projection to reference datasets. Ann Clin Transl Neurol 2022; 9:1863-1873. [PMID: 36412095 PMCID: PMC9735373 DOI: 10.1002/acn3.51649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 07/08/2022] [Accepted: 07/27/2022] [Indexed: 11/23/2022] Open
Abstract
OBJECTIVE Multiple sclerosis (MS) is a multifactorial disease with increasingly complicated management. Our objective is to use on-demand computational power to address the challenges of dynamically managing MS. METHODS A phase 3 clinical trial data (NCT00906399) were used to contextualize the medication efficacy of peg-interferon beta-1a vs placebo on patients with relapsing-remitting MS (RRMS). Using a set of reference patients (PORs), selected based on adequate features similar to those of an individual patient, we visualize disease activity by measuring the percentage of relapses, accumulation of new T2 lesions on MRI, and worsening EDSS during the clinical trial. RESULTS We developed MS Vista, a functional prototype of clinical decision support system (CDSS), with a user-centered design and distributed infrastructure. MS Vista shows the medication efficacy of peginterferon beta-1a versus placebo for each individual patient with RRMS. In addition, MS Vista initiated the integration of a longitudinal magnetic resonance imaging (MRI) viewer and interactive dual physician-patient data display to facilitate communication. INTERPRETATION The pioneer use of PORs for each individual patient enables personalized analytics sustaining the dialog between neurologists, patients and caregivers with quantified evidence.
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Affiliation(s)
- Chadia Ed‐driouch
- Nantes Université, INSERM, CR2TI ‐ Center for Research in Transplantation and Translational ImmunologyF‐44000NantesFrance,Département Automatique, Productique et Informatique, IMT AtlantiqueCNRS, LS2N, UMR CNRS6004NantesFrance
| | - Florent Chéneau
- Département Automatique, Productique et Informatique, IMT AtlantiqueCNRS, LS2N, UMR CNRS6004NantesFrance
| | - Françoise Simon
- Nantes Université, INSERM, CR2TI ‐ Center for Research in Transplantation and Translational ImmunologyF‐44000NantesFrance,Mount Sinai School of Medicine and Columbia UniversityNew YorkNYUSA
| | | | - Benoit Combès
- Université de Rennes, Inria, CNRS, Inserm IRISA UMR 6074, Empenn ERL U 1228F‐35000RennesFrance
| | - Anne Kerbrat
- Université de Rennes, Inria, CNRS, Inserm IRISA UMR 6074, Empenn ERL U 1228F‐35000RennesFrance,CRC‐SEP, CICP 1414 INSERM, CHU Pontchaillou RennesRennesFrance
| | | | - Sophie Limou
- Nantes Université, INSERM, CR2TI ‐ Center for Research in Transplantation and Translational ImmunologyF‐44000NantesFrance,Ecole Centrale Nantes, Department of MathematicsComputer Sciences and BiologyF-44000NantesFrance
| | - Nicolas Vince
- Nantes Université, INSERM, CR2TI ‐ Center for Research in Transplantation and Translational ImmunologyF‐44000NantesFrance
| | - David‐Axel Laplaud
- Nantes Université, CRC‐SEP, CHU Nantes, CIC 1413, Centre de Recherche en Transplantation et Immunologie UMR 1064, INSERMNantesFrance
| | - Franck Mars
- Nantes Université, Centrale NantesCNRS, LS2N, UMR 6004F‐44000NantesFrance
| | - Cédric Dumas
- Département Automatique, Productique et Informatique, IMT AtlantiqueCNRS, LS2N, UMR CNRS6004NantesFrance
| | - Gilles Edan
- Université de Rennes, Inria, CNRS, Inserm IRISA UMR 6074, Empenn ERL U 1228F‐35000RennesFrance,CRC‐SEP, CICP 1414 INSERM, CHU Pontchaillou RennesRennesFrance
| | - Pierre‐Antoine Gourraud
- Nantes Université, CHU Nantes, Pôle Hospitalo‐Universitaire 11: Santé Publique, Clinique des données, INSERM CIC 1413F‐44000NantesFrance
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9
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Dot G, Schouman T, Chang S, Rafflenbeul F, Kerbrat A, Rouch P, Gajny L. Automatic 3-Dimensional Cephalometric Landmarking via Deep Learning. J Dent Res 2022; 101:1380-1387. [PMID: 35982646 DOI: 10.1177/00220345221112333] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
The increasing use of 3-dimensional (3D) imaging by orthodontists and maxillofacial surgeons to assess complex dentofacial deformities and plan orthognathic surgeries implies a critical need for 3D cephalometric analysis. Although promising methods were suggested to localize 3D landmarks automatically, concerns about robustness and generalizability restrain their clinical use. Consequently, highly trained operators remain needed to perform manual landmarking. In this retrospective diagnostic study, we aimed to train and evaluate a deep learning (DL) pipeline based on SpatialConfiguration-Net for automatic localization of 3D cephalometric landmarks on computed tomography (CT) scans. A retrospective sample of consecutive presurgical CT scans was randomly distributed between a training/validation set (n = 160) and a test set (n = 38). The reference data consisted of 33 landmarks, manually localized once by 1 operator(n = 178) or twice by 3 operators (n = 20, test set only). After inference on the test set, 1 CT scan showed "very low" confidence level predictions; we excluded it from the overall analysis but still assessed and discussed the corresponding results. The model performance was evaluated by comparing the predictions with the reference data; the outcome set included localization accuracy, cephalometric measurements, and comparison to manual landmarking reproducibility. On the hold-out test set, the mean localization error was 1.0 ± 1.3 mm, while success detection rates for 2.0, 2.5, and 3.0 mm were 90.4%, 93.6%, and 95.4%, respectively. Mean errors were -0.3 ± 1.3° and -0.1 ± 0.7 mm for angular and linear measurements, respectively. When compared to manual reproducibility, the measurements were within the Bland-Altman 95% limits of agreement for 91.9% and 71.8% of skeletal and dentoalveolar variables, respectively. To conclude, while our DL method still requires improvement, it provided highly accurate 3D landmark localization on a challenging test set, with a reliability for skeletal evaluation on par with what clinicians obtain.
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Affiliation(s)
- G Dot
- Institut de Biomecanique Humaine Georges Charpak, Arts et Metiers Institute of Technology, Paris, France.,Universite Paris Cite, AP-HP, Hopital Pitie Salpetriere, Service de Medecine Bucco-Dentaire, Paris, France
| | - T Schouman
- Institut de Biomecanique Humaine Georges Charpak, Arts et Metiers Institute of Technology, Paris, France.,Medecine Sorbonne Universite, AP-HP, Hopital Pitie-Salpetriere, Service de Chirurgie Maxillo-Faciale, Paris, France
| | - S Chang
- Institut de Biomecanique Humaine Georges Charpak, Arts et Metiers Institute of Technology, Paris, France
| | - F Rafflenbeul
- Department of Dentofacial Orthopedics, Faculty of Dental Surgery, Strasbourg University, Strasbourg, France
| | - A Kerbrat
- Institut de Biomecanique Humaine Georges Charpak, Arts et Metiers Institute of Technology, Paris, France
| | - P Rouch
- Institut de Biomecanique Humaine Georges Charpak, Arts et Metiers Institute of Technology, Paris, France
| | - L Gajny
- Institut de Biomecanique Humaine Georges Charpak, Arts et Metiers Institute of Technology, Paris, France
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10
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Leguy S, Lefort M, Lescot L, Michaud A, Vukusic S, Le Page E, Edan G, Kerbrat A, Lebrun-Frenay C, De Sèze J, Laplaud DA, Wiertlewski S, Leray E, Michel L. COPP-MS: COrticosteroids during the Post-Partum in relapsing Multiple Sclerosis patients. J Neurol 2022; 269:5571-5581. [PMID: 35737108 DOI: 10.1007/s00415-022-11215-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 06/02/2022] [Accepted: 06/03/2022] [Indexed: 10/17/2022]
Abstract
BACKGROUND No specific treatment has demonstrated its effectiveness to prevent post-partum relapses for multiple sclerosis (MS) women. OBJECTIVE To assess the effectiveness of preventive high-dose corticosteroids in the post-partum period by comparing two strategies: (1) no preventive treatment and (2) standardized preventive treatment. METHODS We selected five French Multiple Sclerosis centers using the same post-partum strategy for their patients-either high-dose steroids (treating centers TC) or no treatment (non-treating centers NTC). We included relapsing-remitting multiple sclerosis women who delivered between January 2007 and January 2017. Our primary outcomes were the time from delivery to first relapse, EDSS progression and MRI activity between patients of treating centers and non-treating centers, after propensity-score weighting. RESULTS 350 patients were included (116 from treating centers, 234 from non-treating centers). For both groups, the annualized relapse rate decreased during pregnancy (0.28 in treating centers and 0.34 in non-treating centers during the third trimester) and increased during the first post-partum trimester (0.45 and 0.69, respectively) with 11% and 14% (NS) of patients facing at least one relapse, respectively. Our primary outcomes were not statistically different between both groups. CONCLUSION This study provides class III evidence that systematic high-dose corticosteroids are not associated with a reduced inflammatory activity during the post-partum period in multiple sclerosis patients.
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Affiliation(s)
- Soizic Leguy
- Neurology Department, CRC-SEP Rennes, Rennes Clinical Investigation Center, Rennes University Hospital Rennes University INSERM, CHU Pontchaillou, 35033, Rennes, France
| | - Mathilde Lefort
- EHESP, CNRS, Inserm, Arènes, UMR 6051, RSMS (Recherche sur les Services et Management en Santé), University Rennes, U 1309, 35000, Rennes, France.,CHU Rennes, Inserm, CIC 1414 [(Centre d'Investigation Clinique de Rennes)], University Rennes, 35000, Rennes, France
| | - Lucile Lescot
- Neurology Department, CRC-SEP Rennes, Rennes Clinical Investigation Center, Rennes University Hospital Rennes University INSERM, CHU Pontchaillou, 35033, Rennes, France
| | - Audrey Michaud
- EHESP, CNRS, Inserm, Arènes, UMR 6051, RSMS (Recherche sur les Services et Management en Santé), University Rennes, U 1309, 35000, Rennes, France
| | - Sandra Vukusic
- Service de Neurologie, Sclérose en Plaques, Pathologies de la Myéline et Neuro-Inflammation et Centre de Recherche, Ressources et Compétences sur la Sclérose en Plaques, Hospices Civils de Lyon, 69677, Bron, France.,Inserm 1028 et CNRS UMR 5292, Observatoire Français de la Sclérose en Plaques, Centre de Recherche en Neurosciences de Lyon, 69003, Lyon, France.,Université de Lyon, université Claude-Bernard Lyon 1, 69000, Lyon, France.,Eugène Devic EDMUS Foundation Against Multiple Sclerosis, state-approved foundation, 69677, Bron, France
| | - Emmanuelle Le Page
- Neurology Department, CRC-SEP Rennes, Rennes Clinical Investigation Center, Rennes University Hospital Rennes University INSERM, CHU Pontchaillou, 35033, Rennes, France.,CHU Rennes, Inserm, CIC 1414 [(Centre d'Investigation Clinique de Rennes)], University Rennes, 35000, Rennes, France
| | - Gilles Edan
- Neurology Department, CRC-SEP Rennes, Rennes Clinical Investigation Center, Rennes University Hospital Rennes University INSERM, CHU Pontchaillou, 35033, Rennes, France.,CHU Rennes, Inserm, CIC 1414 [(Centre d'Investigation Clinique de Rennes)], University Rennes, 35000, Rennes, France
| | - Anne Kerbrat
- Neurology Department, CRC-SEP Rennes, Rennes Clinical Investigation Center, Rennes University Hospital Rennes University INSERM, CHU Pontchaillou, 35033, Rennes, France.,CHU Rennes, Inserm, CIC 1414 [(Centre d'Investigation Clinique de Rennes)], University Rennes, 35000, Rennes, France
| | | | - Jérôme De Sèze
- CRCSEP, CHU de Nice Pasteur 2, Université Nice Côte d'Azur UR2CA URRIS, Nice, France.,Centre d'investigation Clinique, INSERM U1434, Centre Hospitalier Universitaire de Strasbourg, 1 Place de l'Hôpital, 67000, Strasbourg, France
| | - David-Axel Laplaud
- Centre de Recherche en Transplantation et Immunologie UMR1064, INSERM; Université de Nantes, CHU de Nantes France, Nantes, France
| | - Sandrine Wiertlewski
- Centre de Recherche en Transplantation et Immunologie UMR1064, INSERM; Université de Nantes, CHU de Nantes France, Nantes, France
| | - Emmanuelle Leray
- EHESP, CNRS, Inserm, Arènes, UMR 6051, RSMS (Recherche sur les Services et Management en Santé), University Rennes, U 1309, 35000, Rennes, France.,CHU Rennes, Inserm, CIC 1414 [(Centre d'Investigation Clinique de Rennes)], University Rennes, 35000, Rennes, France
| | - Laure Michel
- Neurology Department, CRC-SEP Rennes, Rennes Clinical Investigation Center, Rennes University Hospital Rennes University INSERM, CHU Pontchaillou, 35033, Rennes, France. .,CHU Rennes, Inserm, CIC 1414 [(Centre d'Investigation Clinique de Rennes)], University Rennes, 35000, Rennes, France. .,Microenvironment, Cell Differentiation, Immunology and Cancer Unit, INSERM, Rennes I University, French Blood Agency, Rennes, France.
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11
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Demuth S, Guillaume M, Bourre B, Ciron J, Zephir H, Sirejacob Y, Kerbrat A, Lebrun-Frenay C, Papeix C, Michel L, Laplaud D, Vukusic S, Maillart E, Cohen M, Audoin B, Marignier R, Collongues N. Treatment regimens for neuromyelitis optica spectrum disorder attacks: a retrospective cohort study. J Neuroinflammation 2022; 19:62. [PMID: 35236386 PMCID: PMC8892703 DOI: 10.1186/s12974-022-02420-2] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 02/21/2022] [Indexed: 11/29/2022] Open
Abstract
Background Neuromyelitis optica spectrum disorder (NMOSD) attacks require an urgent probabilistic anti-inflammatory therapeutic strategy. As inadequately treated attacks result in disability, there is a need to identify the optimal attack-treatment regimen. Our study aimed to identify predictors of outcome after a first attack in patients with an NMOSD presentation and propose the best treatment strategy. Methods We performed a retrospective cohort study on the French national NMOSD registry (NOMADMUS), a nested cohort of the French multiple sclerosis observatory (OFSEP) recruiting patients with NMOSD presentations in France. We studied the first attack for any independent locations of clinical core characteristic of NMOSD, in treatment-naïve patients. The primary outcome was the evolution of the Expanded Disability Status Scale (EDSS) score at 6 months, stratified in two ways to account for recovery (return to baseline EDSS score) and treatment response (classified as “good” if the EDSS score decreased by ≥ 1 point after a nadir EDSS score ≤ 3, or by ≥ 2 points after a nadir EDSS score > 3). We used ordinal logistic regression to infer statistical associations with the outcome. Results We included 211 attacks among 183 patients (104 with anti-AQP4 antibodies, 60 with anti-MOG antibodies, and 19 double seronegative). Attack treatment regimens comprised corticosteroids (n = 196), plasma exchanges (PE; n = 72) and intravenous immunoglobulins (n = 6). Complete recovery was reached in 40 attacks (19%) at 6 months. The treatment response was “good” in 134 attacks (63.5%). There was no improvement in EDSS score in 50 attacks (23.7%). MOG-antibody seropositivity and short delays to PE were significantly and independently associated with better recovery and treatment response. Conclusions We identified two prognostic factors: serostatus (with better outcomes among MOG-Ab-positive patients) and the delay to PE. We, therefore, argue for a more aggressive anti-inflammatory management of the first attacks suggesting an NMOSD presentation, with the early combination of PE with corticosteroids.
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Affiliation(s)
- Stanislas Demuth
- Department of Neurology, Strasbourg University Hospital, Strasbourg, France
| | | | - Bertrand Bourre
- CHU de Rouen / Rouen University Hospital, 76000, Rouen, France
| | - Jonathan Ciron
- Department of Neurology, CRC-SEP, CHU Toulouse, 31059, Toulouse Cedex 9, France.,Institut Toulousain des Maladies infectieuses et Inflammatoires (Infinity), INSERM UMR1291 - CNRS UMR5051, Université Toulouse III, Toulouse, France.,Department of Neurology, CHU Poitiers, 86021, Poitiers, France
| | - Hélène Zephir
- Department of Neurology, Inserm U 1172, University Hospital of Lille, University of Lille, Lille, France
| | - Yoann Sirejacob
- Department of Clinical Research, Rouen University Hospital, 76000, Rouen, France
| | - Anne Kerbrat
- Department of Neurology, Rennes University Hospital, 35033, Rennes, France
| | - Christine Lebrun-Frenay
- Department of Neurology, CHU de Nice, UR2CA-URRIS, Nice Côte d'Azur University, Nice, France
| | - Caroline Papeix
- Department of Neurology, AP-HP, Pitié-Salpêtrière Hospital, 75013, Paris, France
| | - Laure Michel
- Department of Neurology, Rennes University Hospital, 35033, Rennes, France.,CRTI-InsermU1064, Nantes, France.,CHU de Nantes, Université de Nantes, Nantes, France
| | | | - Sandra Vukusic
- Department of Neurology, Hôpital Neurologique, Hospices Civils de Lyon, Bron, France
| | - Elisabeth Maillart
- Department of Neurology, AP-HP, Pitié-Salpêtrière Hospital, 75013, Paris, France
| | - Mikael Cohen
- Department of Neurology, CHU de Nice, UR2CA-URRIS, Nice Côte d'Azur University, Nice, France
| | - Bertrand Audoin
- Department of Neurology, University Hospital of Marseille, Marseille, France.,Aix-Marseille University, CRMBM UMR 7339, CNRS, Marseille, France
| | - Romain Marignier
- Department of Neurology, Hôpital Wertheimer, HCL, Bron, France.,Service de neurologie, sclérose en plaques, pathologies de la myéline et neuro-inflammation, and Centre de Référence des Maladies Inflammatoires Rares du Cerveau et de la Moelle, Hôpital Neurologique Pierre Wertheimer, Hospices Civils de Lyon, 69677, Lyon/Bron, France.,INSERM 1028 et CNRS UMR5292, Centre Des Neurosciences de Lyon, 69003, Lyon, France.,Université Claude Bernard Lyon 1, 69000, Lyon, France
| | - Nicolas Collongues
- Department of Neurology, Strasbourg University Hospital, Strasbourg, France.
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12
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Kerbrat JB, Miskowiak C, Trost O, Kerbrat A. Osteogenic distraction to treat solitary median maxillary central incisor (SMMCI) syndrome: a case report. Int J Oral Maxillofac Surg 2022; 51:1469-1472. [DOI: 10.1016/j.ijom.2022.03.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 01/24/2022] [Accepted: 03/09/2022] [Indexed: 11/26/2022]
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13
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Lefort M, Le Corre G, Le Page E, Rizzato C, Le Port D, Michel L, Kerbrat A, Leray E, Edan G. Ten-year follow-up after mitoxantrone induction for early highly active relapsing-remitting multiple sclerosis: An observational study of 100 consecutive patients. Rev Neurol (Paris) 2022; 178:569-579. [PMID: 35181157 DOI: 10.1016/j.neurol.2021.11.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 11/19/2021] [Accepted: 11/23/2021] [Indexed: 10/19/2022]
Abstract
BACKGROUND Six monthly courses of mitoxantrone were approved in France in 2003 for patients with highly active multiple sclerosis (MS). OBJECTIVE To report the 10-year clinical follow-up and safety of mitoxantrone as an induction drug followed by maintenance therapy in patients with early highly active relapsing-remitting MS (RRMS) and an Expanded Disability Status Scale (EDSS) score<4, 12months prior to mitoxantrone initiation. METHODS In total, 100 consecutive patients with highly active RRMS from the Rennes EDMUS database received monthly mitoxantrone 20mg combined with methylprednisolone 1g for 3 (n=75) or 6months (n=25) followed by first-line disease-modifying drug (DMD). The 10-year clinical impact was studied through clinical activity, DMD exposure, and adverse events. RESULTS Twenty-four percent were relapse-free over 10years and the mean annual number of relapses was 0.2 at 10years. The mean EDSS score remained significantly improved for up to 10years, changing from 3.5 at mitoxantrone initiation to 2.7 at 10years. The probability of disability worsening and improvement from mitoxantrone initiation to 10years were respectively 27% and 58%, and 13% converted to secondary progressive MS. Patients only remained untreated or treated with a first-line maintenance DMD for 6.5years in average. In our cohort, mitoxantrone was generally safe. No leukemia was observed and six patients developed neoplasms, including 4 solid cancers. CONCLUSION Monthly mitoxantrone for 3 or 6months, followed by maintenance first-line treatment, may be an attractive therapeutic option for patients with early highly active RRMS, particularly in low-income countries.
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Affiliation(s)
- M Lefort
- Univ Rennes, EHESP, CNRS, ARENES - UMR 6051, 15 avenue du Professeur Léon Bernard, 35000 Rennes, France; Rennes Clinical Investigation Center, Rennes University, Rennes University Hospital, INSERM, Rennes, France
| | - G Le Corre
- Neurology Department, Pontchaillou University Hospital, Rennes, France
| | - E Le Page
- Rennes Clinical Investigation Center, Rennes University, Rennes University Hospital, INSERM, Rennes, France; Neurology Department, Pontchaillou University Hospital, Rennes, France
| | - C Rizzato
- Neurology Department, Pontchaillou University Hospital, Rennes, France
| | - D Le Port
- Neurology Department, Pontchaillou University Hospital, Rennes, France
| | - L Michel
- Rennes Clinical Investigation Center, Rennes University, Rennes University Hospital, INSERM, Rennes, France; Neurology Department, Pontchaillou University Hospital, Rennes, France
| | - A Kerbrat
- Rennes Clinical Investigation Center, Rennes University, Rennes University Hospital, INSERM, Rennes, France; Neurology Department, Pontchaillou University Hospital, Rennes, France
| | - E Leray
- Univ Rennes, EHESP, CNRS, ARENES - UMR 6051, 15 avenue du Professeur Léon Bernard, 35000 Rennes, France; Rennes Clinical Investigation Center, Rennes University, Rennes University Hospital, INSERM, Rennes, France
| | - G Edan
- Rennes Clinical Investigation Center, Rennes University, Rennes University Hospital, INSERM, Rennes, France; Neurology Department, Pontchaillou University Hospital, Rennes, France.
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14
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Combès B, Kerbrat A, Pasquier G, Commowick O, Le Bon B, Galassi F, L'Hostis P, El Graoui N, Chouteau R, Cordonnier E, Edan G, Ferré JC. A Clinically-Compatible Workflow for Computer-Aided Assessment of Brain Disease Activity in Multiple Sclerosis Patients. Front Med (Lausanne) 2021; 8:740248. [PMID: 34805206 PMCID: PMC8595265 DOI: 10.3389/fmed.2021.740248] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 09/30/2021] [Indexed: 11/21/2022] Open
Abstract
Over the last 10 years, the number of approved disease modifying drugs acting on the focal inflammatory process in Multiple Sclerosis (MS) has increased from 3 to 10. This wide choice offers the opportunity of a personalized medicine with the objective of no clinical and radiological activity for each patient. This new paradigm requires the optimization of the detection of new FLAIR lesions on longitudinal MRI. In this paper, we describe a complete workflow—that we developed, implemented, deployed, and evaluated—to facilitate the monitoring of new FLAIR lesions on longitudinal MRI of MS patients. This workflow has been designed to be usable by both hospital and private neurologists and radiologists in France. It consists of three main components: (i) a software component that allows for automated and secured anonymization and transfer of MRI data from the clinical Picture Archive and Communication System (PACS) to a processing server (and vice-versa); (ii) a fully automated segmentation core that enables detection of focal longitudinal changes in patients from T1-weighted, T2-weighted and FLAIR brain MRI scans, and (iii) a dedicated web viewer that provides an intuitive visualization of new lesions to radiologists and neurologists. We first present these different components. Then, we evaluate the workflow on 54 pairs of longitudinal MRI scans that were analyzed by 3 experts (1 neuroradiologist, 1 radiologist, and 1 neurologist) with and without the proposed workflow. We show that our workflow provided a valuable aid to clinicians in detecting new MS lesions both in terms of accuracy (mean number of detected lesions per patient and per expert 1.8 without the workflow vs. 2.3 with the workflow, p = 5.10−4) and of time dedicated by the experts (mean time difference 2′45″, p = 10−4). This increase in the number of detected lesions has implications in the classification of MS patients as stable or active, even for the most experienced neuroradiologist (mean sensitivity was 0.74 without the workflow and 0.90 with the workflow, p-value for no difference = 0.003). It therefore has potential consequences on the therapeutic management of MS patients.
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Affiliation(s)
- Benoit Combès
- Univ Rennes, Inria, CNRS, Inserm IRISA UMR 6074, Empenn ERL U 1228, Rennes, France
| | - Anne Kerbrat
- Univ Rennes, Inria, CNRS, Inserm IRISA UMR 6074, Empenn ERL U 1228, Rennes, France.,Neurology Department, Rennes University Hospital, Rennes, France
| | | | - Olivier Commowick
- Univ Rennes, Inria, CNRS, Inserm IRISA UMR 6074, Empenn ERL U 1228, Rennes, France
| | - Brandon Le Bon
- Univ Rennes, Inria, CNRS, Inserm IRISA UMR 6074, Empenn ERL U 1228, Rennes, France
| | - Francesca Galassi
- Univ Rennes, Inria, CNRS, Inserm IRISA UMR 6074, Empenn ERL U 1228, Rennes, France
| | | | - Nora El Graoui
- Univ Rennes, Inria, CNRS, Inserm IRISA UMR 6074, Empenn ERL U 1228, Rennes, France.,CHU Rennes, Department of Neuroradiology, Rennes, France
| | - Raphael Chouteau
- Neurology Department, Rennes University Hospital, Rennes, France
| | | | - Gilles Edan
- Univ Rennes, Inria, CNRS, Inserm IRISA UMR 6074, Empenn ERL U 1228, Rennes, France.,Neurology Department, Rennes University Hospital, Rennes, France
| | - Jean-Christophe Ferré
- Univ Rennes, Inria, CNRS, Inserm IRISA UMR 6074, Empenn ERL U 1228, Rennes, France.,CHU Rennes, Department of Neuroradiology, Rennes, France
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15
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Affiliation(s)
- Eva M M Strijbis
- MS Center Amsterdam, Amsterdam UMC, Location VUmc, Amsterdam, the Netherlands
| | - Anne Kerbrat
- Department of Neurology, Rennes University Hospital, Rennes, France
| | - John R Corboy
- Rocky Mountain Multiple Sclerosis Center at Anschutz Medical Campus, University of Colorado, Denver
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16
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Kerbrat A, Schouman T, Decressain D, Rouch P, Attali V. Interaction between posture and maxillomandibular deformity: a systematic review. Int J Oral Maxillofac Surg 2021; 51:104-112. [PMID: 34120792 DOI: 10.1016/j.ijom.2021.05.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 03/05/2021] [Accepted: 05/07/2021] [Indexed: 11/24/2022]
Abstract
Maxillomandibular deformity (MMD) and body posture appear to be correlated. However, no systematic literature review of the available evidence to support this correlation has been performed to date. The aim of this study was to conduct a systematic literature review on posture and MMD. This systematic literature review was registered in the PROSPERO database. Systematic searches of the MEDLINE, Scopus, Cochrane Library, and Web of Science databases were performed. In total, 13 clinical studies were included. Nine found a significant association between MMD and body posture or body balance: two studies showed a correlation between increased cervical lordosis and skeletal class III MMD, two studies showed an interaction between mandibular deviation and scoliosis, four studies demonstrated a significant association between lumbar column and pelvis anatomy and MMD, and one study found a correlation between displacement of the centre of mass and MMD. However, the level of evidence is low; the methods used to evaluate body posture and MMD were inconsistent. Orthognathic surgery could modify body posture. Although there seems to be an interaction between body posture and facial deformity, the number of studies is too small and the level of evidence too low to strongly support this association.
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Affiliation(s)
- A Kerbrat
- Service de Chirurgie Maxillo-Faciale, Sorbonne Université, APHP, Hôpital Pitié-Salpêtrière, Paris, France; Arts et Métiers Sciences et Technologies, Institut de Biomécanique Humaine Georges Charpak, Paris, France.
| | - T Schouman
- Service de Chirurgie Maxillo-Faciale, Sorbonne Université, APHP, Hôpital Pitié-Salpêtrière, Paris, France; Arts et Métiers Sciences et Technologies, Institut de Biomécanique Humaine Georges Charpak, Paris, France
| | - D Decressain
- Service de Chirurgie Maxillo-Faciale, Sorbonne Université, APHP, Hôpital Pitié-Salpêtrière, Paris, France
| | - P Rouch
- Arts et Métiers Sciences et Technologies, Institut de Biomécanique Humaine Georges Charpak, Paris, France
| | - V Attali
- Arts et Métiers Sciences et Technologies, Institut de Biomécanique Humaine Georges Charpak, Paris, France; Groupe Hospitalier Universitaire APHP - Sorbonne Université, site Pitié-Salpêtrière, Service des Pathologies du Sommeil (Département R3S), Paris, France; Sorbonne Université, INSERM, UMRS1158 Neurophysiologie Respiratoire Expérimentale et Clinique, Paris, France
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17
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Kerbrat A, Vinuesa O, Lavergne F, Aversenq E, Graml A, Kerbrat JB, Trost O, Goudot P. Clinical impact of two types of mandibular retention devices - A CAD/CAM design and a traditional design - On upper airway volume in obstructive sleep apnea patients. J Stomatol Oral Maxillofac Surg 2021; 122:361-366. [PMID: 34118470 DOI: 10.1016/j.jormas.2021.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 05/16/2021] [Accepted: 06/07/2021] [Indexed: 11/18/2022]
Abstract
OBJECTIVE This pilot randomized crossover study evaluated the outcomes of two custom-made mandibular retention devices (MRDs), a computer-aided design (CAD)/computer-aided manufacturing (CAM) device (Narval CC™) and a non-CAD/CAM device (Narval™), on oropharyngeal airway volume in patients with obstructive sleep apnoea (OSA). METHODS 12 OSA patients were recruited from an University Hospital for MRD therapy with either CAD/CAM or non-CAD/CAM first. A cone-beam computed tomography evaluation (CBCT) and polysomnography assessment was performed during baseline assessment and at the end of each study period. RESULTS Upper airway volume increased significantly with the CAD/CAM device (7725 +/- 6540 mm3, p = 0.008) but not with the non-CAD/CAM device (3805 +/- 7806 mm3, p = 0.13). The CAD/CAM device was also associated with a significant decrease in AHI (mean AHI after treatment 9.4±6.7 events/h, p = 0.003) and oxygen desaturation index (mean ODI of ≥ 3%/h 11.9 ± 6.8, p = 0.011). Changes in AHI (14.7 +/- 11.7 events/h, p = 0.083) and ODI (15.5 +/- 19.2, p = 0.074) were not statistically significant with the non-CAD/CAM device. The vertical dimension of occlusion increased significantly following treatment with both MRD devices (both p = 0.003), but was significantly less pronounced with the CAD/CAM device (mean difference: -2.7 +/- 1.7 mm, p = 0.003). Final mandibular protrusion after titration was the same with both devices (85%, p = 0.317). CONCLUSION The CAD/CAM (Narval CCTM) device was associated with a significant increase in upper airway volume that may be caused by a lower degree of vertical separation between the jaws when compared to the non-CAD/CAM design.
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Affiliation(s)
- A Kerbrat
- Resident, Service de Stomatologie et de Chirurgie Maxillo-faciale de la Pitié Salpétrière, 81 Boulevard de l'hopital, 75013 Paris, France.
| | | | - F Lavergne
- ResMed Science center - Saint-Priest, France
| | - E Aversenq
- ResMed Science center - Saint-Priest, France
| | - A Graml
- ResMed Science center, Munich, Germany
| | - J B Kerbrat
- Chief of the department of Orthodontics, Service de Stomatologie et de Chirurgie Maxillo-faciale de la Pitié Salpétrière, France
| | - O Trost
- Professor,Chief of the Service de Stomatologie et de Chirurgie Maxillo-faciale du CHU de Rouen, France
| | - P Goudot
- Professor, Chief of the Service de Stomatologie et de Chirurgie Maxillo-faciale de la Pitié Salpétrière, France
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18
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Kerbrat A, Gros C, Badji A, Bannier E, Galassi F, Combès B, Chouteau R, Labauge P, Ayrignac X, Carra-Dalliere C, Maranzano J, Granberg T, Ouellette R, Stawiarz L, Hillert J, Talbott J, Tachibana Y, Hori M, Kamiya K, Chougar L, Lefeuvre J, Reich DS, Nair G, Valsasina P, Rocca MA, Filippi M, Chu R, Bakshi R, Callot V, Pelletier J, Audoin B, Maarouf A, Collongues N, De Seze J, Edan G, Cohen-Adad J. Multiple sclerosis lesions in motor tracts from brain to cervical cord: spatial distribution and correlation with disability. Brain 2020; 143:2089-2105. [PMID: 32572488 DOI: 10.1093/brain/awaa162] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2019] [Revised: 02/27/2020] [Accepted: 04/02/2020] [Indexed: 11/12/2022] Open
Abstract
Despite important efforts to solve the clinico-radiological paradox, correlation between lesion load and physical disability in patients with multiple sclerosis remains modest. One hypothesis could be that lesion location in corticospinal tracts plays a key role in explaining motor impairment. In this study, we describe the distribution of lesions along the corticospinal tracts from the cortex to the cervical spinal cord in patients with various disease phenotypes and disability status. We also assess the link between lesion load and location within corticospinal tracts, and disability at baseline and 2-year follow-up. We retrospectively included 290 patients (22 clinically isolated syndrome, 198 relapsing remitting, 39 secondary progressive, 31 primary progressive multiple sclerosis) from eight sites. Lesions were segmented on both brain (T2-FLAIR or T2-weighted) and cervical (axial T2- or T2*-weighted) MRI scans. Data were processed using an automated and publicly available pipeline. Brain, brainstem and spinal cord portions of the corticospinal tracts were identified using probabilistic atlases to measure the lesion volume fraction. Lesion frequency maps were produced for each phenotype and disability scores assessed with Expanded Disability Status Scale score and pyramidal functional system score. Results show that lesions were not homogeneously distributed along the corticospinal tracts, with the highest lesion frequency in the corona radiata and between C2 and C4 vertebral levels. The lesion volume fraction in the corticospinal tracts was higher in secondary and primary progressive patients (mean = 3.6 ± 2.7% and 2.9 ± 2.4%), compared to relapsing-remitting patients (1.6 ± 2.1%, both P < 0.0001). Voxel-wise analyses confirmed that lesion frequency was higher in progressive compared to relapsing-remitting patients, with significant bilateral clusters in the spinal cord corticospinal tracts (P < 0.01). The baseline Expanded Disability Status Scale score was associated with lesion volume fraction within the brain (r = 0.31, P < 0.0001), brainstem (r = 0.45, P < 0.0001) and spinal cord (r = 0.57, P < 0.0001) corticospinal tracts. The spinal cord corticospinal tracts lesion volume fraction remained the strongest factor in the multiple linear regression model, independently from cord atrophy. Baseline spinal cord corticospinal tracts lesion volume fraction was also associated with disability progression at 2-year follow-up (P = 0.003). Our results suggest a cumulative effect of lesions within the corticospinal tracts along the brain, brainstem and spinal cord portions to explain physical disability in multiple sclerosis patients, with a predominant impact of intramedullary lesions.
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Affiliation(s)
- Anne Kerbrat
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, Canada.,CHU Rennes, Neurology department, Empenn U 1128 Inserm, CIC1414 Inserm, Rennes, France
| | - Charley Gros
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, Canada
| | - Atef Badji
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, Canada.,Department of Neurosciences, Faculty of Medicine, Université de Montréal, QC, Canada
| | - Elise Bannier
- CHU Rennes, Radiology department, Rennes, France.,Univ Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Empenn U1128, Rennes, France
| | - Francesca Galassi
- Univ Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Empenn U1128, Rennes, France
| | - Benoit Combès
- Univ Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Empenn U1128, Rennes, France
| | - Raphaël Chouteau
- CHU Rennes, Neurology department, Empenn U 1128 Inserm, CIC1414 Inserm, Rennes, France
| | - Pierre Labauge
- MS Unit, Department of Neurology, CHU Montpellier, Montpellier, France
| | - Xavier Ayrignac
- MS Unit, Department of Neurology, CHU Montpellier, Montpellier, France
| | | | - Josefina Maranzano
- McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Canada.,University of Quebec in Trois-Rivieres, Quebec, Canada
| | - Tobias Granberg
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Russell Ouellette
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Leszek Stawiarz
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Jan Hillert
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Jason Talbott
- Department of Radiology and Biomedical Imaging, Zuckerberg San Francisco General Hospital, University of California, San Francisco, CA, USA
| | | | - Masaaki Hori
- Toho University Omori Medical Center, Tokyo, Japan
| | | | - Lydia Chougar
- Department of Neuroradiology, La Pitié Salpêtrière Hospital, Paris, France
| | - Jennifer Lefeuvre
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Maryland, USA
| | - Daniel S Reich
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Maryland, USA
| | - Govind Nair
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Maryland, USA
| | - Paola Valsasina
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, and Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, and Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, and Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | - Renxin Chu
- Brigham and Women's Hospital, Harvard Medical School, Boston, USA
| | - Rohit Bakshi
- Brigham and Women's Hospital, Harvard Medical School, Boston, USA
| | - Virginie Callot
- AP-HM, Pôle d'imagerie médicale, Hôpital de la Timone, CEMEREM, Marseille, France.,Aix-Marseille Univ, CNRS, CRMBM, Marseille, France
| | - Jean Pelletier
- Aix-Marseille Univ, CNRS, CRMBM, Marseille, France.,AP-HM, CHU Timone, Pôle de Neurosciences Cliniques, Department of Neurology, Marseille, France
| | - Bertrand Audoin
- Aix-Marseille Univ, CNRS, CRMBM, Marseille, France.,AP-HM, CHU Timone, Pôle de Neurosciences Cliniques, Department of Neurology, Marseille, France
| | - Adil Maarouf
- Aix-Marseille Univ, CNRS, CRMBM, Marseille, France.,AP-HM, CHU Timone, Pôle de Neurosciences Cliniques, Department of Neurology, Marseille, France
| | - Nicolas Collongues
- Biopathologie de la Myéline, Neuroprotection et Stratégies Thérapeutiques, INSERM U1119, Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Bâtiment 3 de la Faculté de Médecine, 67 000 Strasbourg, France.,Département de Neurologie, Centre Hospitalier Universitaire de Strasbourg, 67200 Strasbourg, France.,Centre d'investigation Clinique, INSERM U1434, Centre Hospitalier Universitaire de Strasbourg, 67000 Strasbourg, France
| | - Jérôme De Seze
- Biopathologie de la Myéline, Neuroprotection et Stratégies Thérapeutiques, INSERM U1119, Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Bâtiment 3 de la Faculté de Médecine, 67 000 Strasbourg, France.,Département de Neurologie, Centre Hospitalier Universitaire de Strasbourg, 67200 Strasbourg, France.,Centre d'investigation Clinique, INSERM U1434, Centre Hospitalier Universitaire de Strasbourg, 67000 Strasbourg, France
| | - Gilles Edan
- CHU Rennes, Neurology department, Empenn U 1128 Inserm, CIC1414 Inserm, Rennes, France
| | - Julien Cohen-Adad
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, Canada.,Functional Neuroimaging Unit, CRIUGM, University of Montreal, Montreal, Canada
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19
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Leguy S, Combès B, Bannier E, Kerbrat A. Prognostic value of spinal cord MRI in multiple sclerosis patients. Rev Neurol (Paris) 2020; 177:571-581. [PMID: 33069379 DOI: 10.1016/j.neurol.2020.08.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 08/04/2020] [Accepted: 08/05/2020] [Indexed: 11/19/2022]
Abstract
Multiple sclerosis [MS] is a common inflammatory, demyelinating and neurodegenerative disease of the central nervous system that affects both the brain and the spinal cord. In clinical practice, spinal cord MRI is performed far less frequently than brain MRI, mainly owing to technical limitations and time constraints. However, improvements of acquisition techniques, combined with a strong diagnosis and prognostic value, suggest an increasing use of spinal cord MRI in the near future. This review summarizes the current data from the literature on the prognostic value of spinal cord MRI in MS patients in the early and later stages of their disease. Both conventional and quantitative MRI techniques are discussed. The prognostic value of spinal cord lesions is clearly established at the onset of disease, underlining the interest of spinal cord conventional MRI at this stage. However, studies are currently lacking to affirm the prognostic role of spinal cord lesions later in the disease, and therefore the added value of regular follow-up with spinal cord MRI in addition to brain MRI. Besides, spinal cord atrophy, as measured by the loss of cervical spinal cord area, is also associated with disability progression, independently of other clinical and MRI factors including spinal cord lesions. Although potentially interesting, this measurement is not currently performed as a routine clinical procedure. Finally, other measures extracted from quantitative MRI have been established as valuable for a better understanding of the physiopathology of MS, but still remain a field of research.
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Affiliation(s)
- S Leguy
- CHU de Rennes, Neurology department, 2, Rue Henri-le-Guilloux, 35000 Rennes, France; University Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Empenn U1228, Rennes, France
| | - B Combès
- University Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Empenn U1228, Rennes, France
| | - E Bannier
- University Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Empenn U1228, Rennes, France; CHU de Rennes, Radiology department, Rennes, France
| | - A Kerbrat
- CHU de Rennes, Neurology department, 2, Rue Henri-le-Guilloux, 35000 Rennes, France; University Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Empenn U1228, Rennes, France.
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20
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Lejeune F, Chatton A, Laplaud DA, Le Page E, Wiertlewski S, Edan G, Kerbrat A, Veillard D, Hamonic S, Jousset N, Le Frère F, Ouallet JC, Brochet B, Ruet A, Foucher Y, Michel L. SMILE: a predictive model for Scoring the severity of relapses in MultIple scLErosis. J Neurol 2020; 268:669-679. [PMID: 32902734 DOI: 10.1007/s00415-020-10154-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Revised: 07/21/2020] [Accepted: 08/10/2020] [Indexed: 11/25/2022]
Abstract
BACKGROUND In relapsing-remitting multiple sclerosis (RRMS), relapse severity and residual disability are difficult to predict. Nevertheless, this information is crucial both for guiding relapse treatment strategies and for informing patients. OBJECTIVE We, therefore, developed and validated a clinical-based model for predicting the risk of residual disability at 6 months post-relapse in MS. METHODS We used the data of 186 patients with RRMS collected during the COPOUSEP multicentre trial. The outcome was an increase of ≥ 1 EDSS point 6 months post-relapse treatment. We used logistic regression with LASSO penalization to construct the model, and bootstrap cross-validation to internally validate it. The model was externally validated with an independent retrospective French single-centre cohort of 175 patients. RESULTS The predictive factors contained in the model were age > 40 years, shorter disease duration, EDSS increase ≥ 1.5 points at time of relapse, EDSS = 0 before relapse, proprioceptive ataxia, and absence of subjective sensory disorders. Discriminative accuracy was acceptable in both the internal (AUC 0.82, 95% CI [0.73, 0.91]) and external (AUC 0.71, 95% CI [0.62, 0.80]) validations. CONCLUSION The predictive model we developed should prove useful for adapting therapeutic strategy of relapse and follow-up to individual patients.
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Affiliation(s)
- F Lejeune
- Neurology Department and CIC 0004, Nantes University Hospital, Nantes, France.,Centre de Recherche en Transplantation et Immunologie, INSERM U1064, Nantes, France
| | - A Chatton
- MethodS in Patient-Centred Outcomes and HEalth ResEarch (SPHERE) Unit, INSERM, Universities of Nantes and Tours, Nantes, France
| | - D-A Laplaud
- Neurology Department and CIC 0004, Nantes University Hospital, Nantes, France.,Centre de Recherche en Transplantation et Immunologie, INSERM U1064, Nantes, France
| | - E Le Page
- Clinical Neuroscience Centre, CIC_P1414 INSERM, Rennes University Hospital, Rennes University, Rennes, France
| | - S Wiertlewski
- Neurology Department and CIC 0004, Nantes University Hospital, Nantes, France.,Centre de Recherche en Transplantation et Immunologie, INSERM U1064, Nantes, France
| | - G Edan
- Clinical Neuroscience Centre, CIC_P1414 INSERM, Rennes University Hospital, Rennes University, Rennes, France
| | - A Kerbrat
- Clinical Neuroscience Centre, CIC_P1414 INSERM, Rennes University Hospital, Rennes University, Rennes, France
| | - D Veillard
- Epidemiology and Public Health Department, Rennes University Hospital, Rennes, France
| | - S Hamonic
- Epidemiology and Public Health Department, Rennes University Hospital, Rennes, France
| | - N Jousset
- Nantes Clinical Investigation Centre, Nantes University Hospital, Nantes, France
| | - F Le Frère
- Nantes Clinical Investigation Centre, Nantes University Hospital, Nantes, France
| | - J-C Ouallet
- Neurology Department, Magendie Neurocentre, Bordeaux University Hospital, INSERM U1215, Bordeaux, France
| | - B Brochet
- Neurology Department, Magendie Neurocentre, Bordeaux University Hospital, INSERM U1215, Bordeaux, France
| | - A Ruet
- Neurology Department, Magendie Neurocentre, Bordeaux University Hospital, INSERM U1215, Bordeaux, France
| | - Y Foucher
- MethodS in Patient-Centred Outcomes and HEalth ResEarch (SPHERE) Unit, INSERM, Universities of Nantes and Tours, Nantes, France.,Nantes University Hospital, Nantes, France
| | - Laure Michel
- Clinical Neuroscience Centre, CIC_P1414 INSERM, Rennes University Hospital, Rennes University, Rennes, France. .,Microenvironment, Cell Differentiation, Immunology and Cancer Unit, INSERM, Rennes I University, French Blood Agency, Rennes, France. .,Neurology Department, Rennes University Hospital, Rennes, France.
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21
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Metzger-Peter K, Kremer LD, Edan G, Loureiro De Sousa P, Lamy J, Bagnard D, Mensah-Nyagan AG, Tricard T, Mathey G, Debouverie M, Berger E, Kerbrat A, Meyer N, De Seze J, Collongues N. The TOTEM RRMS (Testosterone Treatment on neuroprotection and Myelin Repair in Relapsing Remitting Multiple Sclerosis) trial: study protocol for a randomized, double-blind, placebo-controlled trial. Trials 2020; 21:591. [PMID: 32600454 PMCID: PMC7322908 DOI: 10.1186/s13063-020-04517-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 06/15/2020] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Central nervous system damage in multiple sclerosis (MS) is responsible for serious deficiencies. Current therapies are focused on the treatment of inflammation; however, there is an urgent need for innovative therapies promoting neuroregeneration, particularly myelin repair. It is demonstrated that testosterone can act through neural androgen receptors and several clinical observations stimulated an interest in the potential protective effects of testosterone treatment for MS. Here, we sought to demonstrate the effects of a testosterone supplementation in testosterone-deficient men with relapsing-remitting MS. METHODS/DESIGN This report presents the rationale and methodology of TOTEM RRMS, a French, phase 2, multicenter, randomized, placebo-controlled, and double-blind trial, which aims to prevent the progression of MS in men with low testosterone levels by administration of testosterone undecanoate, who were kept under natalizumab (Tysabri®) to overcome the anti-inflammatory effect of testosterone. Forty patients will be randomized into two groups receiving either a testosterone treatment (Nebido®) or a matching placebo. The intervention period for each group will last 66 weeks (treatment will be injected at baseline, week 6, and then every 12 weeks). The main objective is to determine the neuroprotective and remyelinating effects of testosterone using tensor diffusion imaging techniques and thalamic atrophy analyses. As secondary objectives, impacts of the testosterone supplementation will be studied using other conventional and unconventional MRI parameters and with clinical outcomes. DISCUSSION The action of testosterone is observed in different experimental autoimmune encephalomyelitis models and epidemiological studies in humans. However, despite several preclinical data and some small clinical trials in MS, clear evidence for a therapeutic effect of hormone therapy is still missing. Therefore, our goal is to demonstrate the effects of testosterone therapies in MS. As there is no effective treatment currently available on fatigue in MS, careful attention should also be paid to secondary endpoints: fatigue, cognitive functions, and other symptoms that may improve life quality. Assuming a positive outcome of the trial, this treatment could be considered as a new neuroprotective and remyelinating therapy in relapsing-remitting MS and could be applicable to other demyelinating diseases. TRIAL REGISTRATION ClinicalTrials.gov NCT03910738. Registered on 10 April 2019.
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Affiliation(s)
| | - Laurent Daniel Kremer
- Departement of Neurology, Hôpital de Hautepierre, University Hospital of Strasbourg, Strasbourg, France
| | - Gilles Edan
- Departement of Neurology, Hôpital Pontchaillou, University Hospital of Rennes, Rennes, France
| | - Paulo Loureiro De Sousa
- Laboratory of Engineering Sciences, Computer Science and Imagery (ICube), CNRS, Institute of Biological Physics, University of Strasbourg, Strasbourg, France
| | - Julien Lamy
- Laboratory of Engineering Sciences, Computer Science and Imagery (ICube), CNRS, Institute of Biological Physics, University of Strasbourg, Strasbourg, France
| | - Dominique Bagnard
- Departement of Myelin Biopathology, Neuroprotection and Therapeutic Strategies, UMR_S Inserm 1119, Strasbourg, France
| | - Ayikoe-Guy Mensah-Nyagan
- Departement of Myelin Biopathology, Neuroprotection and Therapeutic Strategies, UMR_S Inserm 1119, Strasbourg, France
| | - Thibault Tricard
- Departement of Urological Surgery, Nouvel Hôpital Civil, University Hospital of Strasbourg, Strasbourg, France
| | - Guillaume Mathey
- Departement of Neurology, Hôpital Central, University Hospital of Nancy, Nancy, France
| | - Marc Debouverie
- Departement of Neurology, Hôpital Central, University Hospital of Nancy, Nancy, France
| | - Eric Berger
- Departement of Neurology, Hôpital Jean Minjoz, University Hospital of Besançon, Besançon, France
| | - Anne Kerbrat
- Department of Neurology, Hôpital de Pontchaillou, University Hospital of Rennes, Rennes, France
| | - Nicolas Meyer
- Departement of Public Health, GMRC University Hospital of Strasbourg, Strasbourg, France
| | - Jérôme De Seze
- Centre d᾿Investigation Clinique INSERM 1434, Strasbourg, France.,Departement of Neurology, Hôpital de Hautepierre, University Hospital of Strasbourg, Strasbourg, France
| | - Nicolas Collongues
- Centre d᾿Investigation Clinique INSERM 1434, Strasbourg, France.,Departement of Neurology, Hôpital de Hautepierre, University Hospital of Strasbourg, Strasbourg, France
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22
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Eden D, Gros C, Badji A, Dupont SM, De Leener B, Maranzano J, Zhuoquiong R, Liu Y, Granberg T, Ouellette R, Stawiarz L, Hillert J, Talbott J, Bannier E, Kerbrat A, Edan G, Labauge P, Callot V, Pelletier J, Audoin B, Rasoanandrianina H, Brisset JC, Valsasina P, Rocca MA, Filippi M, Bakshi R, Tauhid S, Prados F, Yiannakas M, Kearney H, Ciccarelli O, Smith SA, Andrada Treaba C, Mainero C, Lefeuvre J, Reich DS, Nair G, Shepherd TM, Charlson E, Tachibana Y, Hori M, Kamiya K, Chougar L, Narayanan S, Cohen-Adad J. Spatial distribution of multiple sclerosis lesions in the cervical spinal cord. Brain 2020; 142:633-646. [PMID: 30715195 DOI: 10.1093/brain/awy352] [Citation(s) in RCA: 61] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2018] [Revised: 10/25/2018] [Accepted: 11/20/2018] [Indexed: 12/12/2022] Open
Abstract
Spinal cord lesions detected on MRI hold important diagnostic and prognostic value for multiple sclerosis. Previous attempts to correlate lesion burden with clinical status have had limited success, however, suggesting that lesion location may be a contributor. Our aim was to explore the spatial distribution of multiple sclerosis lesions in the cervical spinal cord, with respect to clinical status. We included 642 suspected or confirmed multiple sclerosis patients (31 clinically isolated syndrome, and 416 relapsing-remitting, 84 secondary progressive, and 73 primary progressive multiple sclerosis) from 13 clinical sites. Cervical spine lesions were manually delineated on T2- and T2*-weighted axial and sagittal MRI scans acquired at 3 or 7 T. With an automatic publicly-available analysis pipeline we produced voxelwise lesion frequency maps to identify predilection sites in various patient groups characterized by clinical subtype, Expanded Disability Status Scale score and disease duration. We also measured absolute and normalized lesion volumes in several regions of interest using an atlas-based approach, and evaluated differences within and between groups. The lateral funiculi were more frequently affected by lesions in progressive subtypes than in relapsing in voxelwise analysis (P < 0.001), which was further confirmed by absolute and normalized lesion volumes (P < 0.01). The central cord area was more often affected by lesions in primary progressive than relapse-remitting patients (P < 0.001). Between white and grey matter, the absolute lesion volume in the white matter was greater than in the grey matter in all phenotypes (P < 0.001); however when normalizing by each region, normalized lesion volumes were comparable between white and grey matter in primary progressive patients. Lesions appearing in the lateral funiculi and central cord area were significantly correlated with Expanded Disability Status Scale score (P < 0.001). High lesion frequencies were observed in patients with a more aggressive disease course, rather than long disease duration. Lesions located in the lateral funiculi and central cord area of the cervical spine may influence clinical status in multiple sclerosis. This work shows the added value of cervical spine lesions, and provides an avenue for evaluating the distribution of spinal cord lesions in various patient groups.
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Affiliation(s)
- Dominique Eden
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada
| | - Charley Gros
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada
| | - Atef Badji
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada.,Department of Neuroscience, Faculty of Medicine, University of Montreal, Montreal, QC, Canada
| | - Sara M Dupont
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada.,Department of Radiology and Biomedical Imaging, Zuckerberg San Francisco General Hospital, University of California, San Francisco, CA, USA
| | - Benjamin De Leener
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada
| | - Josefina Maranzano
- McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Canada.,Department of Anatomy, Université de Québec à Trois-Rivières, Trois-Rivières, QC, Canada
| | - Ren Zhuoquiong
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, P. R. China
| | - Yaou Liu
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, P. R. China.,Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, P. R. China
| | - Tobias Granberg
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.,Massachusetts General Hospital, Boston, USA
| | - Russell Ouellette
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.,Massachusetts General Hospital, Boston, USA
| | - Leszek Stawiarz
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Jan Hillert
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Jason Talbott
- Department of Radiology and Biomedical Imaging, Zuckerberg San Francisco General Hospital, University of California, San Francisco, CA, USA
| | - Elise Bannier
- CHU Rennes, Radiology Department, Rennes, France.,Univ Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, EMPENN - ERL U 1228, Rennes, France
| | - Anne Kerbrat
- Univ Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, EMPENN - ERL U 1228, Rennes, France.,CHU Rennes, Neurology Department, Rennes, France
| | - Gilles Edan
- Univ Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, EMPENN - ERL U 1228, Rennes, France.,CHU Rennes, Neurology Department, Rennes, France
| | - Pierre Labauge
- MS Unit, Department of Neurology, University Hospital of Montpellier, Montpellier, France
| | - Virginie Callot
- Aix Marseille University, CNRS, CRMBM, Marseille, France.,APHM, CHU Timone, CEMEREM, Marseille, France
| | - Jean Pelletier
- APHM, CHU Timone, CEMEREM, Marseille, France.,APHM, Department of Neurology, CHU Timone, APHM, Marseille
| | - Bertrand Audoin
- APHM, CHU Timone, CEMEREM, Marseille, France.,APHM, Department of Neurology, CHU Timone, APHM, Marseille
| | - Henitsoa Rasoanandrianina
- Aix Marseille University, CNRS, CRMBM, Marseille, France.,APHM, CHU Timone, CEMEREM, Marseille, France
| | - Jean-Christophe Brisset
- Observatoire Français de la Sclérose en Plaques (OFSEP) ; Université de Lyon, Université Claude Bernard Lyon 1; Hospices Civils de Lyon; CREATIS-LRMN, UMR 5220 CNRS and U 1044 INSERM; Lyon, France
| | - Paola Valsasina
- Neuroimaging Research Unit, INSPE, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, INSPE, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, INSPE, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Rohit Bakshi
- Brigham and Women's Hospital, Harvard Medical School, Boston, USA
| | - Shahamat Tauhid
- Brigham and Women's Hospital, Harvard Medical School, Boston, USA
| | - Ferran Prados
- Queen Square MS Centre, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London,UK.,Center for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Marios Yiannakas
- Queen Square MS Centre, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London,UK
| | - Hugh Kearney
- Queen Square MS Centre, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London,UK
| | - Olga Ciccarelli
- Queen Square MS Centre, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London,UK
| | - Seth A Smith
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | | | - Jennifer Lefeuvre
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Maryland, USA
| | - Daniel S Reich
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Maryland, USA
| | - Govind Nair
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Maryland, USA
| | | | - Erik Charlson
- Department of Radiology, NYU Langone Medical Center, New York, USA
| | | | - Masaaki Hori
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
| | - Kouhei Kamiya
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
| | - Lydia Chougar
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan.,Hospital Cochin, Paris, France
| | - Sridar Narayanan
- McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Canada
| | - Julien Cohen-Adad
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada.,Department of Neuroscience, Faculty of Medicine, University of Montreal, Montreal, QC, Canada.,Functional Neuroimaging Unit, CRIUGM, Université de Montréal, Montreal, QC, Canada
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23
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Kalkers NF, Galan I, Kerbrat A, Tacchino A, Kamm CP, O'Connell K, McGuigan C, Edan G, Montalban X, Uitdehaag BM, Mokkink LB. Differential item functioning of the Arm function in Multiple Sclerosis Questionnaire (AMSQ) by language, a study in six countries. Mult Scler 2019; 27:90-96. [PMID: 31845614 DOI: 10.1177/1352458519895450] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
BACKGROUND The Arm function in Multiple Sclerosis Questionnaire (AMSQ) has been developed as a self-reported measure of arm and hand functioning for patients with multiple sclerosis (MS). The AMSQ was originally developed in Dutch and to date translated into five languages (i.e. English, German, Spanish, French, and Italian). OBJECTIVE The aim of this study was to evaluate differential item functioning (DIF) of the AMSQ in these languages. METHODS We performed DIF analyses, using "language" as the polytomous group variable. To detect DIF, logistic regression and item response theory principles were applied. Multiple logistic regression models were evaluated. We used a pseudo R2 value of 0.02 or more as the DIF threshold. RESULTS A total of 1733 male and female patients with all subtypes of MS were included. The DIF analysis for the whole dataset showed no uniform or non-uniform DIF on any of the 31 items. All R2 values were below 0.02. CONCLUSION The AMSQ is validated in six languages. All items have the same meaning to MS patients in Dutch, English, German, Spanish, French, and Italian. This validation study enables use of the AMSQ in international studies, for monitoring treatment response and disease progression.
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Affiliation(s)
- Nynke F Kalkers
- Department of Neurology, Amsterdam UMC, Location VUmc, Amsterdam, The Netherlands/Department of Neurology, OLVG, Amsterdam, The Netherlands
| | - Ingrid Galan
- Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Hospital Universitario Vall d'Hebron, Barcelona, Spain
| | - Anne Kerbrat
- Department of Neurology, Rennes University Hospital, Rennes, France
| | - Andrea Tacchino
- Scientific Research Area, Italian MS Foundation (FISM), Genoa, Italy
| | - Christian P Kamm
- Neurology and Neurorehabilitation Center, Lucerne Cantonal Hospital, Lucerne, Switzerland/Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Karen O'Connell
- Department of Neurology, St. Vincent's University Hospital and University College Dublin, Dublin, Ireland
| | - Chris McGuigan
- Department of Neurology, St Vincent's University Hospital and University College Dublin, Dublin, Ireland
| | - Gilles Edan
- Department of Neurology, Rennes University Hospital, Rennes, France
| | - Xavier Montalban
- Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Hospital Universitario Vall d'Hebron, Barcelona, Spain/Department of Neurology, St Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - Bernard Mj Uitdehaag
- Department of Neurology, Amsterdam UMC, Location VUmc, Amsterdam, The Netherlands
| | - Lidwine B Mokkink
- Department of Epidemiology and Biostatistics, Amsterdam UMC, Location VUmc and Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
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24
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Couloume L, Barbin L, Leray E, Wiertlewski S, Le Page E, Kerbrat A, Ory S, Le Port D, Edan G, Laplaud DA, Michel L. High-dose biotin in progressive multiple sclerosis: A prospective study of 178 patients in routine clinical practice. Mult Scler 2019; 26:1898-1906. [DOI: 10.1177/1352458519894713] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Background: A recent controlled trial suggested that high-dose biotin supplementation reverses disability progression in patients with progressive multiple sclerosis. Objective: To analyze the impact of high-dose biotin in routine clinical practice on disability progression at 12 months. Methods: Progressive multiple sclerosis patients who started high-dose biotin at Nantes or Rennes Hospital between 3 June 2015 and 15 September 2017 were included in this prospective study. Disability outcome measures, patient-reported outcome measures, relapses, magnetic resonance imaging (MRI) data, and adverse events were collected at baseline, 6, and 12 months. Results: A total of 178 patients were included. At baseline, patients were 52.0 ± 9.4 years old, mean Expanded Disability Status Scale (EDSS) score was 6.1 ± 1.3, mean disease duration was 16.9 ± 9.5 years. At 12 months, 3.8% of the patients had an improved EDSS score. Regarding the other disability scales, scores either remained stable or increased significantly. In total, 47.4% of the patients described stability, 27.6% felt an improvement, and 25% described a worsening. Four patients (2.2%) had a relapse. Of the 74 patients (41.6%) who underwent an MRI, 20 (27.0%) had new T2 lesions, 8 (10.8%) had gadolinium-enhancing lesions. Twenty-five (14%) reported adverse event. Conclusion: In this study, high-dose biotin did not seem to be associated with a clear improvement in disability.
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Affiliation(s)
| | | | - Emmanuelle Leray
- Univ Rennes, EHESP, REPERES (Pharmacoepidemiology and health services research)—EA 7449, Rennes, France
| | - Sandrine Wiertlewski
- Service de Neurologie, CHU Nantes, Nantes, France/CIC0004 Inserm, Nantes, France
| | - Emmanuelle Le Page
- Univ Rennes, CHU Rennes, Neurology, Centre d’Investigation Clinique de Rennes (CIC Inserm 1414), Rennes, France
| | - Anne Kerbrat
- Univ Rennes, CHU Rennes, Neurology, Centre d’Investigation Clinique de Rennes (CIC Inserm 1414), Rennes, France
| | - Solenn Ory
- Univ Rennes, CHU Rennes, Neurology, Centre d’Investigation Clinique de Rennes (CIC Inserm 1414), Rennes, France
| | - Damien Le Port
- Univ Rennes, CHU Rennes, Neurology, Centre d’Investigation Clinique de Rennes (CIC Inserm 1414), Rennes, France
| | - Gilles Edan
- Univ Rennes, CHU Rennes, Neurology, Centre d’Investigation Clinique de Rennes (CIC Inserm 1414), Rennes, France
| | - David-Axel Laplaud
- Service de Neurologie, CHU Nantes, Nantes, France/CIC0004 Inserm, Nantes, France/Centre de Recherche en Transplantation et Immunologie (CRTI), Inserm U1064, Nantes, France/Université de Nantes, Nantes, France
| | - Laure Michel
- Service de Neurologie, CHU Pontchaillou, Rennes, France; Univ Rennes, CHU Rennes, Neurology, Centre d’Investigation Clinique de Rennes (CIC Inserm 1414), Rennes, France; Unité Mixte de Recherche (UMR) S1236, INSERM, University of Rennes, Etablissement Français du Sang, Rennes, France/Suivi Immunologique des Thérapeutiques Innovantes, Centre Hospitalier Universitaire de Rennes, Etablissement Français du Sang, Rennes, France
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25
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Chouteau R, Combès B, Bannier E, Snoussi H, Ferré JC, Barillot C, Edan G, Sauleau P, Kerbrat A. Joint assessment of brain and spinal cord motor tract damage in patients with early RRMS: predominant impact of spinal cord lesions on motor function. J Neurol 2019; 266:2294-2303. [PMID: 31175433 DOI: 10.1007/s00415-019-09419-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2019] [Revised: 05/30/2019] [Accepted: 06/01/2019] [Indexed: 10/26/2022]
Abstract
BACKGROUND In patients with MS, the effect of structural damage to the corticospinal tract (CST) has been separately evaluated in the brain and spinal cord (SC), even though a cumulative impact is suspected. OBJECTIVE To evaluate CST damages on both the cortex and cervical SC, and examine their relative associations with motor function, measured both clinically and by electrophysiology. METHODS We included 43 patients with early relapsing-remitting MS. Lesions were manually segmented on SC (axial T2*) and brain (3D FLAIR) scans. The CST was automatically segmented using an atlas (SC) or tractography (brain). Lesion volume fractions and diffusion parameters were calculated for SC, brain and CST. Central motor conduction time (CMCT) and triple stimulation technique amplitude ratio were measured for 42 upper limbs, from 22 patients. RESULTS Mean lesion volume fractions were 5.2% in the SC portion of the CST and 0.9% in the brain portion. We did not find a significant correlation between brain and SC lesion volume fraction (r = 0.06, p = 0.68). The pyramidal EDSS score and CMCT were both significantly correlated with the lesion fraction in the SC CST (r = 0.39, p = 0.01 and r = 0.33, p = 0.03), but not in the brain CST. CONCLUSION Our results highlight the major contribution of SC lesions to CST damage and motor function abnormalities.
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Affiliation(s)
- Raphaël Chouteau
- Neurology Department, CHU Rennes, Rennes, France.,Univ Rennes, CHU Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, VISAGES (Vision, Action Et Gestion Des Informations en santé), ERL U 1228, 35000, Rennes, France
| | - Benoit Combès
- Univ Rennes, CHU Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, VISAGES (Vision, Action Et Gestion Des Informations en santé), ERL U 1228, 35000, Rennes, France
| | - Elise Bannier
- Univ Rennes, CHU Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, VISAGES (Vision, Action Et Gestion Des Informations en santé), ERL U 1228, 35000, Rennes, France.,Radiology Department, CHU Rennes, Rennes, France
| | - Haykel Snoussi
- Univ Rennes, CHU Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, VISAGES (Vision, Action Et Gestion Des Informations en santé), ERL U 1228, 35000, Rennes, France
| | - Jean-Christophe Ferré
- Univ Rennes, CHU Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, VISAGES (Vision, Action Et Gestion Des Informations en santé), ERL U 1228, 35000, Rennes, France.,Radiology Department, CHU Rennes, Rennes, France
| | - Christian Barillot
- Univ Rennes, CHU Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, VISAGES (Vision, Action Et Gestion Des Informations en santé), ERL U 1228, 35000, Rennes, France
| | - Gilles Edan
- Neurology Department, CHU Rennes, Rennes, France.,Univ Rennes, CHU Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, VISAGES (Vision, Action Et Gestion Des Informations en santé), ERL U 1228, 35000, Rennes, France.,Plurithematic Clinical Investigation Center (CIC-P 1414), INSERM, Rennes, France
| | - Paul Sauleau
- Neurophysiology Department, CHU Rennes, Rennes, France.,Behavior and Basal Ganglia Research Unit (EA4712), Rennes 1 University, Rennes, France
| | - Anne Kerbrat
- Neurology Department, CHU Rennes, Rennes, France. .,Univ Rennes, CHU Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, VISAGES (Vision, Action Et Gestion Des Informations en santé), ERL U 1228, 35000, Rennes, France.
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26
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Ahrweiller K, Rousseau C, Le Page E, Bajeux E, Leray E, Michel L, Edan G, Kerbrat A. Decreasing impact of late relapses on disability worsening in secondary progressive multiple sclerosis. Mult Scler 2019; 26:924-935. [PMID: 31094285 DOI: 10.1177/1352458519848090] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Changes in relapse activity during secondary progressive multiple sclerosis (SPMS) need to be accurately characterized in order to identify patients who might benefit from continuing disease-modifying therapies. Objective: To describe relapse occurrence in patients with SPMS during long-term follow-up and assess its impact on disability worsening. Methods: This retrospective cohort study included 506 patients. We assessed the influence of relapses on time from SPMS onset to an Expanded Disability Status Scale score of 6 (EDSS 6), and on irreversible worsening of EDSS scores across different periods. Results: The annualized relapse rate (ARR) decreased with patient’s age (mean reduction of 43% per decade) and SPMS duration (mean reduction of 46% every 5 years). Post-progression relapses were associated with shorter time from secondary progressive (SP) phase onset to EDSS 6 (hazard ratio (HR) = 1.29, 95% confidence interval (CI) = (1.01, 1.64)). Relapse occurrence during the first 3 years and 3–5 years after SP onset was associated with an increased risk of irreversible EDSS worsening (OR = 3.12 (1.54, 6.31) and 2.04 (1.16, 3.58)). This association was no longer significant after 5 years. Conclusion: The occurrence of relapses was a marker of short-term disability progression during early SPMS, but did not have decisive impact in later SPMS.
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Affiliation(s)
- Kevin Ahrweiller
- Department of Neurology, Rennes University Hospital, Rennes, France
| | - Chloé Rousseau
- Clinical Investigation Center (CIC-P) INSERM 1414, Department of Clinical Pharmacology, Rennes University Hospital, Rennes, France
| | - Emmanuelle Le Page
- Department of Neurology, Rennes University Hospital, Rennes, France/Clinical Investigation Center (CIC-P) INSERM 1414, Rennes University Hospital, Rennes, France/West Neuroscience Network of Excellence (WENNE), Rennes, France
| | - Emma Bajeux
- Department of Epidemiology and Public Health, Rennes University Hospital, Rennes, France
| | - Emmanuelle Leray
- Ecole des Hautes Etudes en Santé Publique (EHESP), Rennes, France
| | - Laure Michel
- Department of Neurology, Nantes University Hospital, Nantes, France
| | - Gilles Edan
- Department of Neurology, Rennes University Hospital, Rennes, France/Clinical Investigation Center (CIC-P) INSERM 1414, Rennes University Hospital, Rennes, France/West Neuroscience Network of Excellence (WENNE), Rennes, France
| | - Anne Kerbrat
- Department of Neurology, Rennes University Hospital, Rennes, France/West Neuroscience Network of Excellence (WENNE), France
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27
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Gros C, De Leener B, Badji A, Maranzano J, Eden D, Dupont SM, Talbott J, Zhuoquiong R, Liu Y, Granberg T, Ouellette R, Tachibana Y, Hori M, Kamiya K, Chougar L, Stawiarz L, Hillert J, Bannier E, Kerbrat A, Edan G, Labauge P, Callot V, Pelletier J, Audoin B, Rasoanandrianina H, Brisset JC, Valsasina P, Rocca MA, Filippi M, Bakshi R, Tauhid S, Prados F, Yiannakas M, Kearney H, Ciccarelli O, Smith S, Treaba CA, Mainero C, Lefeuvre J, Reich DS, Nair G, Auclair V, McLaren DG, Martin AR, Fehlings MG, Vahdat S, Khatibi A, Doyon J, Shepherd T, Charlson E, Narayanan S, Cohen-Adad J. Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks. Neuroimage 2019; 184:901-915. [PMID: 30300751 PMCID: PMC6759925 DOI: 10.1016/j.neuroimage.2018.09.081] [Citation(s) in RCA: 117] [Impact Index Per Article: 23.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Revised: 09/05/2018] [Accepted: 09/28/2018] [Indexed: 12/12/2022] Open
Abstract
The spinal cord is frequently affected by atrophy and/or lesions in multiple sclerosis (MS) patients. Segmentation of the spinal cord and lesions from MRI data provides measures of damage, which are key criteria for the diagnosis, prognosis, and longitudinal monitoring in MS. Automating this operation eliminates inter-rater variability and increases the efficiency of large-throughput analysis pipelines. Robust and reliable segmentation across multi-site spinal cord data is challenging because of the large variability related to acquisition parameters and image artifacts. In particular, a precise delineation of lesions is hindered by a broad heterogeneity of lesion contrast, size, location, and shape. The goal of this study was to develop a fully-automatic framework - robust to variability in both image parameters and clinical condition - for segmentation of the spinal cord and intramedullary MS lesions from conventional MRI data of MS and non-MS cases. Scans of 1042 subjects (459 healthy controls, 471 MS patients, and 112 with other spinal pathologies) were included in this multi-site study (n = 30). Data spanned three contrasts (T1-, T2-, and T2∗-weighted) for a total of 1943 vol and featured large heterogeneity in terms of resolution, orientation, coverage, and clinical conditions. The proposed cord and lesion automatic segmentation approach is based on a sequence of two Convolutional Neural Networks (CNNs). To deal with the very small proportion of spinal cord and/or lesion voxels compared to the rest of the volume, a first CNN with 2D dilated convolutions detects the spinal cord centerline, followed by a second CNN with 3D convolutions that segments the spinal cord and/or lesions. CNNs were trained independently with the Dice loss. When compared against manual segmentation, our CNN-based approach showed a median Dice of 95% vs. 88% for PropSeg (p ≤ 0.05), a state-of-the-art spinal cord segmentation method. Regarding lesion segmentation on MS data, our framework provided a Dice of 60%, a relative volume difference of -15%, and a lesion-wise detection sensitivity and precision of 83% and 77%, respectively. In this study, we introduce a robust method to segment the spinal cord and intramedullary MS lesions on a variety of MRI contrasts. The proposed framework is open-source and readily available in the Spinal Cord Toolbox.
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Affiliation(s)
- Charley Gros
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada
| | - Benjamin De Leener
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada
| | - Atef Badji
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada
- Department of Neuroscience, Faculty of Medicine, University of Montreal, Montreal, QC, Canada
| | - Josefina Maranzano
- McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Canada
| | - Dominique Eden
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada
| | - Sara M. Dupont
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada
- Department of Radiology and Biomedical Imaging, Zuckerberg San Francisco General Hospital, University of California, San Francisco, CA, USA
| | - Jason Talbott
- Department of Radiology and Biomedical Imaging, Zuckerberg San Francisco General Hospital, University of California, San Francisco, CA, USA
| | - Ren Zhuoquiong
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing 100053, P. R. China
| | - Yaou Liu
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing 100053, P. R. China
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, P. R. China
| | - Tobias Granberg
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, USA
| | - Russell Ouellette
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, USA
| | | | | | | | - Lydia Chougar
- Juntendo University Hospital, Tokyo, Japan
- Hospital Cochin, Paris, France
| | - Leszek Stawiarz
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Jan Hillert
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Elise Bannier
- CHU Rennes, Radiology Department
- Univ Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Visages U1128, France
| | - Anne Kerbrat
- Univ Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Visages U1128, France
- CHU Rennes, Neurology Department
| | - Gilles Edan
- Univ Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Visages U1128, France
- CHU Rennes, Neurology Department
| | - Pierre Labauge
- MS Unit. DPT of Neurology. University Hospital of Montpellier
| | - Virginie Callot
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France
- APHM, CHU Timone, CEMEREM, Marseille, France
| | - Jean Pelletier
- APHM, CHU Timone, CEMEREM, Marseille, France
- APHM, Department of Neurology, CHU Timone, APHM, Marseille
| | - Bertrand Audoin
- APHM, CHU Timone, CEMEREM, Marseille, France
- APHM, Department of Neurology, CHU Timone, APHM, Marseille
| | | | - Jean-Christophe Brisset
- Observatoire Français de la Sclérose en Plaques (OFSEP) ; Univ Lyon, Université Claude Bernard Lyon 1 ; Hospices Civils de Lyon ; CREATIS-LRMN, UMR 5220 CNRS & U 1044 INSERM ; Lyon, France
| | - Paola Valsasina
- Neuroimaging Research Unit, INSPE, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Maria A. Rocca
- Neuroimaging Research Unit, INSPE, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, INSPE, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Rohit Bakshi
- Brigham and Women’s Hospital, Harvard Medical School, Boston, USA
| | - Shahamat Tauhid
- Brigham and Women’s Hospital, Harvard Medical School, Boston, USA
| | - Ferran Prados
- Queen Square MS Centre, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London (UK)
- Center for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
| | - Marios Yiannakas
- Queen Square MS Centre, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London (UK)
| | - Hugh Kearney
- Queen Square MS Centre, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London (UK)
| | - Olga Ciccarelli
- Queen Square MS Centre, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London (UK)
| | | | | | - Caterina Mainero
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, USA
| | - Jennifer Lefeuvre
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Maryland, USA
| | - Daniel S. Reich
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Maryland, USA
| | - Govind Nair
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Maryland, USA
| | | | | | - Allan R. Martin
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, ON, Canada
| | - Michael G. Fehlings
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, ON, Canada
| | - Shahabeddin Vahdat
- Functional Neuroimaging Unit, CRIUGM, Université de Montréal, Montreal, QC, Canada
- Neurology Department, Stanford University, US
| | - Ali Khatibi
- McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Canada
- Functional Neuroimaging Unit, CRIUGM, Université de Montréal, Montreal, QC, Canada
| | - Julien Doyon
- McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Canada
- Functional Neuroimaging Unit, CRIUGM, Université de Montréal, Montreal, QC, Canada
| | | | | | - Sridar Narayanan
- McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Canada
| | - Julien Cohen-Adad
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada
- Functional Neuroimaging Unit, CRIUGM, Université de Montréal, Montreal, QC, Canada
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28
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Combès B, Monteau L, Bannier E, Callot V, Labauge P, Ayrignac X, Carra Dallière C, Pelletier J, Maarouf A, de Seze J, Collongues N, Barillot C, Edan G, Ferré JC, Kerbrat A. Measurement of magnetization transfer ratio (MTR) from cervical spinal cord: Multicenter reproducibility and variability. J Magn Reson Imaging 2018; 49:1777-1785. [PMID: 30350328 DOI: 10.1002/jmri.26537] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Revised: 09/19/2018] [Accepted: 09/20/2018] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Assessing the multicenter variability of magnetization transfer ratio (MTR) measurements in the spinal cord of healthy controls is the first step toward investigating its clinical use as a biomarker. PURPOSE To analyze the between-session, between-participant, and between-scanner variability of MTR measurements in automatically extracted regions of interest in the cervical cord of healthy controls. STUDY TYPE Control study. POPULATION Forty-four participants, distributed across five MRI scanners (all from the same manufacturer). Ten participants were scanned twice in the same scanner, and 10 others were scanned twice in two different scanners. FIELD STRENGTH/SEQUENCE 3D-gradient echo images, centered on C5, without and with magnetization transfer prepulse at 3T. ASSESSMENT We calculated the mean MTR for different vertebral levels in the whole cord (WC), as well as in the white matter and gray matter, and determined the between-session, between-participant, and between-scanner variabilities. STATISTICAL TESTS Coefficients of variation and intraclass correlations (ICCs) for the different variabilities and their associated confidence intervals. RESULTS The MTR measurements for Levels C4-C6 (near the slab center) exhibited a mean value in WC of 34.6 pu and a pooled standard deviation of 0.9 pu. The between-session coefficient of variation was estimated as 2.3% (ICC = 0.63), the between-participant coefficient as 1.6% (ICC = 0.32), and the between-scanner coefficient as 0.7% (ICC = 0.05). The resulting aggregate coefficient of variation was 2.9%, which was sufficiently low to detect an MTR reduction of 1 pu between groups of about 45 participants (Type-I error rate: 0.05; Type-II error rate: 0.10). DATA CONCLUSION The good between-scanner reproducibility and low overall variability in cervical spinal cord MTR measurements in a control population might pave the way for multicenter analyses in various neurological diseases with moderate cohort sizes. LEVEL OF EVIDENCE 2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:1777-1785.
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Affiliation(s)
- Benoit Combès
- Univ Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Visages, U1128, France
| | - Laureline Monteau
- Univ Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Visages, U1128, France.,CHU Rennes, Radiology Department, F-35033, Rennes, France
| | - Elise Bannier
- Univ Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Visages, U1128, France.,CHU Rennes, Radiology Department, F-35033, Rennes, France
| | - Virginie Callot
- AP-HM, Pôle d'imagerie médicale, Hôpital de la Timone, CEMEREM, Marseille, France.,Aix-Marseille Université, CNRS, UMR 7339, CRMBM, Marseille, France
| | | | | | | | - Jean Pelletier
- AP-HM, Pôle d'imagerie médicale, Hôpital de la Timone, CEMEREM, Marseille, France.,AP-HM, CHU Timone, Pole de Neurosciences Cliniques, Department of Neurology, Marseille, France
| | - Adil Maarouf
- AP-HM, Pôle d'imagerie médicale, Hôpital de la Timone, CEMEREM, Marseille, France.,AP-HM, CHU Timone, Pole de Neurosciences Cliniques, Department of Neurology, Marseille, France
| | - Jerome de Seze
- Strasbourg University Hospital, France; CIC Strasbourg INSERM 1434, Strasbourg, France
| | - Nicolas Collongues
- Strasbourg University Hospital, France; CIC Strasbourg INSERM 1434, Strasbourg, France
| | - Christian Barillot
- Univ Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Visages, U1128, France
| | - Gilles Edan
- Univ Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Visages, U1128, France.,Neurology Department, Rennes University Hospital, France
| | - Jean Christophe Ferré
- Univ Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Visages, U1128, France.,CHU Rennes, Radiology Department, F-35033, Rennes, France
| | - Anne Kerbrat
- Univ Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Visages, U1128, France.,Neurology Department, Rennes University Hospital, France
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29
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Commowick O, Istace A, Kain M, Laurent B, Leray F, Simon M, Pop SC, Girard P, Améli R, Ferré JC, Kerbrat A, Tourdias T, Cervenansky F, Glatard T, Beaumont J, Doyle S, Forbes F, Knight J, Khademi A, Mahbod A, Wang C, McKinley R, Wagner F, Muschelli J, Sweeney E, Roura E, Lladó X, Santos MM, Santos WP, Silva-Filho AG, Tomas-Fernandez X, Urien H, Bloch I, Valverde S, Cabezas M, Vera-Olmos FJ, Malpica N, Guttmann C, Vukusic S, Edan G, Dojat M, Styner M, Warfield SK, Cotton F, Barillot C. Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure. Sci Rep 2018; 8:13650. [PMID: 30209345 PMCID: PMC6135867 DOI: 10.1038/s41598-018-31911-7] [Citation(s) in RCA: 107] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2018] [Accepted: 08/06/2018] [Indexed: 11/09/2022] Open
Abstract
We present a study of multiple sclerosis segmentation algorithms conducted at the international MICCAI 2016 challenge. This challenge was operated using a new open-science computing infrastructure. This allowed for the automatic and independent evaluation of a large range of algorithms in a fair and completely automatic manner. This computing infrastructure was used to evaluate thirteen methods of MS lesions segmentation, exploring a broad range of state-of-theart algorithms, against a high-quality database of 53 MS cases coming from four centers following a common definition of the acquisition protocol. Each case was annotated manually by an unprecedented number of seven different experts. Results of the challenge highlighted that automatic algorithms, including the recent machine learning methods (random forests, deep learning, …), are still trailing human expertise on both detection and delineation criteria. In addition, we demonstrate that computing a statistically robust consensus of the algorithms performs closer to human expertise on one score (segmentation) although still trailing on detection scores.
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Affiliation(s)
- Olivier Commowick
- VISAGES: INSERM U1228 - CNRS UMR6074 - Inria, University of Rennes I, Rennes, France.
| | - Audrey Istace
- Department of Radiology, Lyon Sud Hospital, Hospices Civils de Lyon, Lyon, France
| | - Michaël Kain
- VISAGES: INSERM U1228 - CNRS UMR6074 - Inria, University of Rennes I, Rennes, France
| | - Baptiste Laurent
- LaTIM, INSERM, UMR 1101, University of Brest, IBSAM, Brest, France
| | - Florent Leray
- VISAGES: INSERM U1228 - CNRS UMR6074 - Inria, University of Rennes I, Rennes, France
| | - Mathieu Simon
- VISAGES: INSERM U1228 - CNRS UMR6074 - Inria, University of Rennes I, Rennes, France
| | - Sorina Camarasu Pop
- Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F-69621, Lyon, France
| | - Pascal Girard
- Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F-69621, Lyon, France
| | - Roxana Améli
- Department of Radiology, Lyon Sud Hospital, Hospices Civils de Lyon, Lyon, France
| | - Jean-Christophe Ferré
- VISAGES: INSERM U1228 - CNRS UMR6074 - Inria, University of Rennes I, Rennes, France.,CHU Rennes, Department of Neuroradiology, F-35033, Rennes, France
| | - Anne Kerbrat
- VISAGES: INSERM U1228 - CNRS UMR6074 - Inria, University of Rennes I, Rennes, France.,CHU Rennes, Department of Neurology, F-35033, Rennes, France
| | - Thomas Tourdias
- CHU de Bordeaux, Service de Neuro-Imagerie, Bordeaux, France
| | - Frédéric Cervenansky
- Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F-69621, Lyon, France
| | - Tristan Glatard
- Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada
| | - Jérémy Beaumont
- VISAGES: INSERM U1228 - CNRS UMR6074 - Inria, University of Rennes I, Rennes, France
| | | | - Florence Forbes
- Pixyl Medical, Grenoble, France.,Inria Grenoble Rhône-Alpes, Grenoble, France
| | - Jesse Knight
- Image Analysis in Medicine Lab, School of Engineering, University of Guelph, Guelph, Canada
| | - April Khademi
- Image Analysis in Medicine Lab (IAMLAB), Ryerson University, Toronto, Canada
| | - Amirreza Mahbod
- School of Technology and Health, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Chunliang Wang
- School of Technology and Health, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Richard McKinley
- Department of Diagnostic and Interventional Neuroradiology, Inselspital, University of Bern, Bern, Switzerland
| | - Franca Wagner
- Department of Diagnostic and Interventional Neuroradiology, Inselspital, University of Bern, Bern, Switzerland
| | - John Muschelli
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | - Eloy Roura
- Research institute of Computer Vision and Robotics (VICOROB), University of Girona, Girona, Spain
| | - Xavier Lladó
- Research institute of Computer Vision and Robotics (VICOROB), University of Girona, Girona, Spain
| | - Michel M Santos
- Centro de Informática, Universidade Federal de Pernambuco, Pernambuco, Brazil
| | - Wellington P Santos
- Depto. de Eng. Biomédica, Universidade Federal de Pernambuco, Pernambuco, Brazil
| | - Abel G Silva-Filho
- Centro de Informática, Universidade Federal de Pernambuco, Pernambuco, Brazil
| | - Xavier Tomas-Fernandez
- Computational Radiology Laboratory, Department of Radiology, Children's Hospital, 300 Longwood Avenue, Boston, MA, USA
| | - Hélène Urien
- LTCI, Télécom ParisTech, Université Paris-Saclay, Paris, France
| | - Isabelle Bloch
- LTCI, Télécom ParisTech, Université Paris-Saclay, Paris, France
| | - Sergi Valverde
- Research institute of Computer Vision and Robotics (VICOROB), University of Girona, Girona, Spain
| | - Mariano Cabezas
- Research institute of Computer Vision and Robotics (VICOROB), University of Girona, Girona, Spain
| | | | - Norberto Malpica
- Medical Image Analysis Lab, Universidad Rey Juan Carlos, Madrid, Spain
| | - Charles Guttmann
- Center for Neurological Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
| | - Sandra Vukusic
- Department of Radiology, Lyon Sud Hospital, Hospices Civils de Lyon, Lyon, France
| | - Gilles Edan
- VISAGES: INSERM U1228 - CNRS UMR6074 - Inria, University of Rennes I, Rennes, France.,CHU Rennes, Department of Neurology, F-35033, Rennes, France
| | - Michel Dojat
- Inserm U1216, University Grenoble Alpes, CHU Grenoble, GIN, Grenoble, France
| | - Martin Styner
- Department of Computer Science, University of North Carolina, Chapel Hill, NC, USA
| | - Simon K Warfield
- Computational Radiology Laboratory, Department of Radiology, Children's Hospital, 300 Longwood Avenue, Boston, MA, USA
| | - François Cotton
- Department of Radiology, Lyon Sud Hospital, Hospices Civils de Lyon, Lyon, France
| | - Christian Barillot
- VISAGES: INSERM U1228 - CNRS UMR6074 - Inria, University of Rennes I, Rennes, France
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Combès B, Kerbrat A, Ferré JC, Callot V, Maranzano J, Badji A, Le Page E, Labauge P, Ayrignac X, Carra Dallière C, de Champfleur NM, Pelletier J, Maarouf A, de Seze J, Collongues N, Brassat D, Durand-Dubief F, Barillot C, Bannier E, Edan G. Focal and diffuse cervical spinal cord damage in patients with early relapsing-remitting MS: A multicentre magnetisation transfer ratio study. Mult Scler 2018; 25:1113-1123. [PMID: 29909771 DOI: 10.1177/1352458518781999] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
BACKGROUND Studies including patients with well-established multiple sclerosis (MS) have shown a significant and disability-related reduction in the cervical spinal cord (SC) magnetisation transfer ratio (MTR). OBJECTIVES The objectives are to (1) assess whether MTR reduction is already measurable in the SC of patients with early relapsing-remitting multiple sclerosis (RRMS) and (2) describe its spatial distribution. METHODS We included 60 patients with RRMS <12 months and 34 age-matched controls at five centres. Axial T2*w, sagittal T2w, sagittal phase-sensitive inversion recovery (PSIR), 3DT1w, and axial magnetisation transfer (MT) images were acquired from C1 to C7. Lesions were manually labelled and mean MTR values computed both for the whole SC and for normal-appearing SC in different regions of interest. RESULTS Mean whole SC MTR was significantly lower in patients than controls (33.7 vs 34.9 pu, p = 0.00005), even after excluding lesions (33.9 pu, p = 0.0003). We observed a greater mean reduction in MTR for vertebral levels displaying the highest lesion loads (C2-C4). In the axial plane, we observed a greater mean MTR reduction at the SC periphery and barycentre. CONCLUSION Cervical SC tissue damage measured using MTR is not restricted to macroscopic lesions in patients with early RRMS and is not homogeneously distributed.
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Affiliation(s)
- Benoît Combès
- IRISA, UMR CNRS 6074, VisAGeS U1228, INSERM, INRIA, Université Rennes I, Rennes, France
| | - Anne Kerbrat
- IRISA, UMR CNRS 6074, VisAGeS U1228, INSERM, INRIA, Université Rennes I, Rennes, France.,Neurology Department, Rennes University Hospital, Rennes, France
| | - Jean Christophe Ferré
- IRISA, UMR CNRS 6074, VisAGeS U1228, INSERM, INRIA, Université Rennes I, Rennes, France.,Radiology Department, CHU Rennes, Rennes, France
| | - Virginie Callot
- AP-HM, Pôle d'Imagerie Médicale, Hôpital de La Timone, CEMEREM, Marseille, France.,Aix-Marseille Université, CNRS, UMR 7339, CRMBM, Marseille, France
| | | | - Atef Badji
- Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada; Functional Neuroimaging Unit, CRIUGM, Université de Montreal, Montreal, QC, Canada
| | | | | | | | | | | | - Jean Pelletier
- AP-HM, Pôle d'Imagerie Médicale, Hôpital de La Timone, CEMEREM, Marseille, France.,AP-HM, CHU Timone, Pole de Neurosciences Cliniques, Department of Neurology, Marseille, France
| | - Adil Maarouf
- AP-HM, Pôle d'Imagerie Médicale, Hôpital de La Timone, CEMEREM, Marseille, France.,AP-HM, CHU Timone, Pole de Neurosciences Cliniques, Department of Neurology, Marseille, France
| | - Jérôme de Seze
- CIC, INSERM 1434, University Hospital of Strasbourg, Strasbourg, France
| | | | | | | | - Christian Barillot
- IRISA, UMR CNRS 6074, VisAGeS U1228, INSERM, INRIA, Université Rennes I, Rennes, France
| | - Elise Bannier
- IRISA, UMR CNRS 6074, VisAGeS U1228, INSERM, INRIA, Université Rennes I, Rennes, France.,Radiology Department, CHU Rennes, Rennes, France
| | - Gilles Edan
- IRISA, UMR CNRS 6074, VisAGeS U1228, INSERM, INRIA, Université Rennes I, Rennes, France.,Neurology Department, Rennes University Hospital, Rennes, France
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Ahrweiller K, Rousseau C, Bajeux E, Leray E, Le Page E, Edan G, Kerbrat A. Poussées tardives et évolution du handicap chez les patients atteints de sclérose en plaques secondairement progressive. Rev Neurol (Paris) 2018. [DOI: 10.1016/j.neurol.2018.01.204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Bonnet A, Kerbrat A, Tattevin P, Salmon A, Jouneau S, Edan G, Gasnault J. Leucoencéphalopathie multifocale progressive chez un patient souffrant de silicose pulmonaire. Rev Neurol (Paris) 2018. [DOI: 10.1016/j.neurol.2018.01.310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Monteau L, Combes B, Bannier E, Barillot C, Edan G, Kerbrat A, Ferré JC. Mesure du ratio de transfert d’aimantation (MTR) sur la moelle épinière cervicale : reproductibilité et variabilité en multicentrique. J Neuroradiol 2018. [DOI: 10.1016/j.neurad.2018.01.047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Kerbrat A, Combès B, Commowick O, Maarouf A, Bannier E, Ferré JC, Tourbah A, Ranjeva JP, Barillot C, Edan G. USPIO-positive MS lesions are associated with greater tissue damage than gadolinium-positive-only lesions during 3-year follow-up. Mult Scler 2017; 24:1852-1861. [DOI: 10.1177/1352458517736148] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Background: Identifying in vivo the processes that determine lesion severity in multiple sclerosis (MS) remains a challenge. Objectives: To describe the dynamics of ultrasmall superparamagnetic iron oxide (USPIO) enhancement in MS lesions and the relationship between USPIO enhancement and microstructural changes over 3 years. Methods: Lesion development was assessed at baseline, Months 3, 6, and 9, using magnetic resonance imaging (MRI) with gadolinium and USPIO. Microstructural changes were assessed at baseline, Months 3, 6, 9, 12, 18, 24, and 36, using relaxometry, magnetization transfer, and diffusion-weighted imaging. Results: We included 15 patients with clinically isolated syndrome. In the 52 MRI scans acquired with USPIO, 22 lesions were USPIO and gadolinium positive, and 44 were USPIO negative but gadolinium positive. Lesions no longer exhibited sustained USPIO enhancement 3 months later. At baseline, lesions that were both USPIO and gadolinium positive had lower magnetization transfer ratio values (common language effect size = 0.84, p = 0.0005) and lower fractional anisotropy values (0.83, p = 0.001) than gadolinium-positive-only lesions. USPIO-positive lesions remained associated with greater damage than gadolinium-positive-only lesions throughout the 3-year follow-up. Conclusion: USPIO enhancement, mainly reflecting monocyte infiltration, is transient and is associated with persistent tissue damage after 3 years.
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Affiliation(s)
- Anne Kerbrat
- Department of Neurology, Rennes University Hospital, Rennes, France/VisAGeS team, INRIA (INSERM, CNRS, Rennes 1 University), Rennes, France/CHU Hôpital Pontchaillou, Rennes, France
| | - Benoit Combès
- VisAGeS team, INRIA (INSERM, CNRS, Rennes 1 University), Rennes, France
| | - Olivier Commowick
- VisAGeS team, INRIA (INSERM, CNRS, Rennes 1 University), Rennes, France
| | - Adil Maarouf
- CEMEREM, Timone University Hospital, Marseille, France/CNRS and Center for Magnetic Resonance in Biology and Medicine (CRMBM—UMR 7339), Aix-Marseille University and CNRS, Marseille, France
| | - Elise Bannier
- VisAGeS team, INRIA (INSERM, CNRS, Rennes 1 University), Rennes, France/Department of Radiology, Rennes University Hospital, Rennes, France
| | - Jean Christophe Ferré
- VisAGeS team, INRIA (INSERM, CNRS, Rennes 1 University), Rennes, France/Department of Radiology, Rennes University Hospital, Rennes, France
| | - Ayman Tourbah
- Department of Neurology, Reims University Hospital, Reims, France
| | - Jean-Philippe Ranjeva
- CNRS and Center for Magnetic Resonance in Biology and Medicine (CRMBM—UMR 7339), Aix-Marseille University, Marseille, France
| | | | - Gilles Edan
- Department of Neurology, Rennes University Hospital, Rennes, France/VisAGeS team, INRIA (INSERM, CNRS, Rennes 1 University), Rennes, France/Plurithematic Clinical Investigation Center (CIC-P 1414), INSERM, Rennes, France
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Affiliation(s)
- Gilles Edan
- INSERM Centre d’Investigation Clinique–Plurithématique 1414, Rennes, France
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Kerbrat A, Ferré JC, Fillatre P, Ronzière T, Vannier S, Carsin-Nicol B, Lavoué S, Vérin M, Gauvrit JY, Le Tulzo Y, Edan G. Acute Neurologic Disorder from an Inhibitor of Fatty Acid Amide Hydrolase. N Engl J Med 2016; 375:1717-1725. [PMID: 27806235 DOI: 10.1056/nejmoa1604221] [Citation(s) in RCA: 126] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
BACKGROUND A decrease in fatty acid amide hydrolase (FAAH) activity increases the levels of endogenous analogues of cannabinoids, or endocannabinoids. FAAH inhibitors have shown analgesic and antiinflammatory activity in animal models, and some have been tested in phase 1 and 2 studies. In a phase 1 study, BIA 10-2474, an orally administered reversible FAAH inhibitor, was given to healthy volunteers to assess safety. METHODS Single doses (0.25 to 100 mg) and repeated oral doses (2.5 to 20 mg for 10 days) of BIA 10-2474 had been administered to 84 healthy volunteers in sequential cohorts; no severe adverse events had been reported. Another cohort of participants was then assigned to placebo (2 participants) or 50 mg of BIA 10-2474 per day (6 participants). This report focuses on neurologic adverse events in participants in this final cohort. A total of 4 of the 6 participants who received active treatment consented to have their clinical and radiologic data included in this report. RESULTS An acute and rapidly progressive neurologic syndrome developed in three of the four participants starting on the fifth day of drug administration. The main clinical features were headache, a cerebellar syndrome, memory impairment, and altered consciousness. Magnetic resonance imaging showed bilateral and symmetric cerebral lesions, including microhemorrhages and hyperintensities on fluid-attenuated inversion recovery and diffusion-weighted imaging sequences predominantly involving the pons and hippocampi. One patient became brain dead; the condition of two patients subsequently improved, but one patient had residual memory impairment, and the other patient had a residual cerebellar syndrome. One patient remained asymptomatic. CONCLUSIONS An unanticipated severe neurologic disorder occurred after ingestion of BIA 10-2474 at the highest dose level used in a phase 1 trial. The underlying mechanism of this toxic cerebral syndrome remains unknown.
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Affiliation(s)
- Anne Kerbrat
- From the Departments of Neurology (A.K., T.R., S.V., M.V., G.E.), Radiology (J.-C.F., B.C.-N., J.-Y.G.), and Infectious Diseases and Medical Intensive Care (P.F., S.L., Y.L.T.), Centre d'Investigation Clinique-Plurithématique, INSERM 1414 (P.F., Y.L.T., G.E.), and EA 4712 Comportement et Noyaux Gris Centraux Laboratory (M.V.), Rennes University Hospital, and the Vision, Action, and Information Management System in Health team, Institut National de Recherche en Informatique et en Automatique (A.K., J.-C.F., J.-Y.G.) - all in Rennes, France
| | - Jean-Christophe Ferré
- From the Departments of Neurology (A.K., T.R., S.V., M.V., G.E.), Radiology (J.-C.F., B.C.-N., J.-Y.G.), and Infectious Diseases and Medical Intensive Care (P.F., S.L., Y.L.T.), Centre d'Investigation Clinique-Plurithématique, INSERM 1414 (P.F., Y.L.T., G.E.), and EA 4712 Comportement et Noyaux Gris Centraux Laboratory (M.V.), Rennes University Hospital, and the Vision, Action, and Information Management System in Health team, Institut National de Recherche en Informatique et en Automatique (A.K., J.-C.F., J.-Y.G.) - all in Rennes, France
| | - Pierre Fillatre
- From the Departments of Neurology (A.K., T.R., S.V., M.V., G.E.), Radiology (J.-C.F., B.C.-N., J.-Y.G.), and Infectious Diseases and Medical Intensive Care (P.F., S.L., Y.L.T.), Centre d'Investigation Clinique-Plurithématique, INSERM 1414 (P.F., Y.L.T., G.E.), and EA 4712 Comportement et Noyaux Gris Centraux Laboratory (M.V.), Rennes University Hospital, and the Vision, Action, and Information Management System in Health team, Institut National de Recherche en Informatique et en Automatique (A.K., J.-C.F., J.-Y.G.) - all in Rennes, France
| | - Thomas Ronzière
- From the Departments of Neurology (A.K., T.R., S.V., M.V., G.E.), Radiology (J.-C.F., B.C.-N., J.-Y.G.), and Infectious Diseases and Medical Intensive Care (P.F., S.L., Y.L.T.), Centre d'Investigation Clinique-Plurithématique, INSERM 1414 (P.F., Y.L.T., G.E.), and EA 4712 Comportement et Noyaux Gris Centraux Laboratory (M.V.), Rennes University Hospital, and the Vision, Action, and Information Management System in Health team, Institut National de Recherche en Informatique et en Automatique (A.K., J.-C.F., J.-Y.G.) - all in Rennes, France
| | - Stéphane Vannier
- From the Departments of Neurology (A.K., T.R., S.V., M.V., G.E.), Radiology (J.-C.F., B.C.-N., J.-Y.G.), and Infectious Diseases and Medical Intensive Care (P.F., S.L., Y.L.T.), Centre d'Investigation Clinique-Plurithématique, INSERM 1414 (P.F., Y.L.T., G.E.), and EA 4712 Comportement et Noyaux Gris Centraux Laboratory (M.V.), Rennes University Hospital, and the Vision, Action, and Information Management System in Health team, Institut National de Recherche en Informatique et en Automatique (A.K., J.-C.F., J.-Y.G.) - all in Rennes, France
| | - Béatrice Carsin-Nicol
- From the Departments of Neurology (A.K., T.R., S.V., M.V., G.E.), Radiology (J.-C.F., B.C.-N., J.-Y.G.), and Infectious Diseases and Medical Intensive Care (P.F., S.L., Y.L.T.), Centre d'Investigation Clinique-Plurithématique, INSERM 1414 (P.F., Y.L.T., G.E.), and EA 4712 Comportement et Noyaux Gris Centraux Laboratory (M.V.), Rennes University Hospital, and the Vision, Action, and Information Management System in Health team, Institut National de Recherche en Informatique et en Automatique (A.K., J.-C.F., J.-Y.G.) - all in Rennes, France
| | - Sylvain Lavoué
- From the Departments of Neurology (A.K., T.R., S.V., M.V., G.E.), Radiology (J.-C.F., B.C.-N., J.-Y.G.), and Infectious Diseases and Medical Intensive Care (P.F., S.L., Y.L.T.), Centre d'Investigation Clinique-Plurithématique, INSERM 1414 (P.F., Y.L.T., G.E.), and EA 4712 Comportement et Noyaux Gris Centraux Laboratory (M.V.), Rennes University Hospital, and the Vision, Action, and Information Management System in Health team, Institut National de Recherche en Informatique et en Automatique (A.K., J.-C.F., J.-Y.G.) - all in Rennes, France
| | - Marc Vérin
- From the Departments of Neurology (A.K., T.R., S.V., M.V., G.E.), Radiology (J.-C.F., B.C.-N., J.-Y.G.), and Infectious Diseases and Medical Intensive Care (P.F., S.L., Y.L.T.), Centre d'Investigation Clinique-Plurithématique, INSERM 1414 (P.F., Y.L.T., G.E.), and EA 4712 Comportement et Noyaux Gris Centraux Laboratory (M.V.), Rennes University Hospital, and the Vision, Action, and Information Management System in Health team, Institut National de Recherche en Informatique et en Automatique (A.K., J.-C.F., J.-Y.G.) - all in Rennes, France
| | - Jean-Yves Gauvrit
- From the Departments of Neurology (A.K., T.R., S.V., M.V., G.E.), Radiology (J.-C.F., B.C.-N., J.-Y.G.), and Infectious Diseases and Medical Intensive Care (P.F., S.L., Y.L.T.), Centre d'Investigation Clinique-Plurithématique, INSERM 1414 (P.F., Y.L.T., G.E.), and EA 4712 Comportement et Noyaux Gris Centraux Laboratory (M.V.), Rennes University Hospital, and the Vision, Action, and Information Management System in Health team, Institut National de Recherche en Informatique et en Automatique (A.K., J.-C.F., J.-Y.G.) - all in Rennes, France
| | - Yves Le Tulzo
- From the Departments of Neurology (A.K., T.R., S.V., M.V., G.E.), Radiology (J.-C.F., B.C.-N., J.-Y.G.), and Infectious Diseases and Medical Intensive Care (P.F., S.L., Y.L.T.), Centre d'Investigation Clinique-Plurithématique, INSERM 1414 (P.F., Y.L.T., G.E.), and EA 4712 Comportement et Noyaux Gris Centraux Laboratory (M.V.), Rennes University Hospital, and the Vision, Action, and Information Management System in Health team, Institut National de Recherche en Informatique et en Automatique (A.K., J.-C.F., J.-Y.G.) - all in Rennes, France
| | - Gilles Edan
- From the Departments of Neurology (A.K., T.R., S.V., M.V., G.E.), Radiology (J.-C.F., B.C.-N., J.-Y.G.), and Infectious Diseases and Medical Intensive Care (P.F., S.L., Y.L.T.), Centre d'Investigation Clinique-Plurithématique, INSERM 1414 (P.F., Y.L.T., G.E.), and EA 4712 Comportement et Noyaux Gris Centraux Laboratory (M.V.), Rennes University Hospital, and the Vision, Action, and Information Management System in Health team, Institut National de Recherche en Informatique et en Automatique (A.K., J.-C.F., J.-Y.G.) - all in Rennes, France
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Bonenfant J, Bajeux E, Deburghgraeve V, Le Page E, Edan G, Kerbrat A. Can we stop immunomodulatory treatments in secondary progressive multiple sclerosis? Eur J Neurol 2016; 24:237-244. [PMID: 27753181 DOI: 10.1111/ene.13181] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2016] [Accepted: 09/16/2016] [Indexed: 11/30/2022]
Affiliation(s)
- J. Bonenfant
- Department of Neurology; University Hospital; Rennes France
| | - E. Bajeux
- Department of Epidemiology and Public Health; University Hospital; Rennes France
| | - V. Deburghgraeve
- Department of Neurology; University Hospital; Rennes France
- CIC-P 1414 Inserm; University Hospital; Rennes France
- West Neuroscience Network of Excellence (WENNE); Rennes France
| | - E. Le Page
- Department of Neurology; University Hospital; Rennes France
- CIC-P 1414 Inserm; University Hospital; Rennes France
- West Neuroscience Network of Excellence (WENNE); Rennes France
| | - G. Edan
- Department of Neurology; University Hospital; Rennes France
- CIC-P 1414 Inserm; University Hospital; Rennes France
- West Neuroscience Network of Excellence (WENNE); Rennes France
| | - A. Kerbrat
- Department of Neurology; University Hospital; Rennes France
- West Neuroscience Network of Excellence (WENNE); Rennes France
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Bonnet A, Kerbrat A, Tattevin P, Salmon A, Jouneau S, Edan G, Gasnault J. Progressive multifocal leukoencephalopathy in a patient with silicosis. J Neurol 2016; 263:1866-8. [DOI: 10.1007/s00415-016-8216-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2016] [Revised: 06/22/2016] [Accepted: 06/22/2016] [Indexed: 11/28/2022]
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Genevray M, Kuchenbuch M, Kerbrat A, Sauleau P. Unusual presentation of neuralgic amyotrophy with impairment of cranial nerve XII. Muscle Nerve 2016; 54:335-6. [DOI: 10.1002/mus.25031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2015] [Revised: 12/20/2015] [Accepted: 12/31/2015] [Indexed: 11/06/2022]
Affiliation(s)
- Margaux Genevray
- Department of Neurophysiology; Rennes University Hospital; Rennes France
| | - Mathieu Kuchenbuch
- Department of Neurophysiology; Rennes University Hospital; Rennes France
| | - Anne Kerbrat
- Department of Neurology; Rennes University Hospital; Rennes France
| | - Paul Sauleau
- EA 4712 “Comportement et Noyaux Gris Centraux”; Université de Rennes 1; Faculté de Médecine, Avenue Léon Bernard Rennes 35043 France
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Yaouanq J, Tron I, Kerbrat A, Leray E, Hamonic S, Merienne M, Hinault P, Edan G. Register-based incidence of multiple sclerosis in Brittany (north-western France), 2000-2001. Acta Neurol Scand 2015; 131:321-8. [PMID: 25313028 DOI: 10.1111/ane.12332] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/12/2014] [Indexed: 11/29/2022]
Abstract
OBJECTIVES To report on multiple sclerosis (MS) incidence in Brittany, north-western France. MATERIALS & METHODS From 2000, we set up a population-based register for patients presenting a putative incident MS (PIMS), that is first symptoms compatible with MS onset. We used 3 medical sources of case ascertainment (neurologists, CSF, regional MS-Clinic). Eligibility criteria required both clinical onset and being permanent resident of Brittany in 2000 or 2001. From 2010, all medical records were tracked, the 10-year follow-up allowing previously reported data to be updated. RESULTS Of 313 eligible PIMS, there were 208 definite MS (both McDonald and Poser criteria), 41 CIS-probable MS (Poser criteria), 32 CIS-possible MS and 32 non-MS. Our incident cohort of 249 MS cases with definite/probable MS (sex ratio 2.95) gave a crude annual incidence of 4.28 per 100,000 inhabitants (6.22 for women, 2.23 for men), and age-standardized rates (adjustment to the European population) of 4.41 [3.32-5.51], 6.68 [4.75-8.60], and 2.21 [1.12-3.31], respectively. Age-specific rates by gender and initial course showed that attack onset MS peaked at 25-29 years and progressive onset MS at 40-44 years in women (20-24 years and 45-49 years in men, respectively). CONCLUSIONS Brittany is confirmed a high-risk region for MS. Our data show marked differences in sex-specific pattern of MS incidence by clinical course and point out 25- to 29-year-old women as having the highest MS risk. While temporal variations cannot be excluded, comparison with overall French data suggests that other factors rather than latitude may influence the MS risk in France.
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Affiliation(s)
- J. Yaouanq
- Department of Epidemiology and Public Health University Hospital Rennes France
- CIC‐P 0203 Inserm University Hospital Rennes France
- West Neuroscience Network of Excellence (WENNE) Brittany France
| | - I. Tron
- Brittany Public Health Observatory (ORS Bretagne) Rennes France
| | - A. Kerbrat
- CIC‐P 0203 Inserm University Hospital Rennes France
- West Neuroscience Network of Excellence (WENNE) Brittany France
- Department of Neurology University Hospital Rennes France
| | - E. Leray
- CIC‐P 0203 Inserm University Hospital Rennes France
- West Neuroscience Network of Excellence (WENNE) Brittany France
- Epidemiology Department EHESP School of Public Health Rennes France
| | - S. Hamonic
- Department of Epidemiology and Public Health University Hospital Rennes France
| | - M. Merienne
- West Neuroscience Network of Excellence (WENNE) Brittany France
| | - P. Hinault
- West Neuroscience Network of Excellence (WENNE) Brittany France
| | - G. Edan
- CIC‐P 0203 Inserm University Hospital Rennes France
- West Neuroscience Network of Excellence (WENNE) Brittany France
- Department of Neurology University Hospital Rennes France
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Kerbrat A, Hamonic S, Leray E, Tron I, Edan G, Yaouanq J. Ten-year prognosis in multiple sclerosis: a better outcome in relapsing−remitting patients but not in primary progressive patients. Eur J Neurol 2014; 22:507-e35. [DOI: 10.1111/ene.12600] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2014] [Accepted: 09/19/2014] [Indexed: 11/27/2022]
Affiliation(s)
- A. Kerbrat
- Department of Neurology; University Hospital; Rennes France
- WENNE; Grand-Ouest France
| | - S. Hamonic
- Department of Epidemiology and Public Health; University Hospital; Rennes France
| | - E. Leray
- WENNE; Grand-Ouest France
- Epidemiology Department; EHESP School of Public Health; Rennes France
- CIC-P 1414 INSERM; University Hospital; Rennes France
| | - I. Tron
- Public Health Observatory (ORSB); Rennes France
| | - G. Edan
- Department of Neurology; University Hospital; Rennes France
- WENNE; Grand-Ouest France
- CIC-P 1414 INSERM; University Hospital; Rennes France
| | - J. Yaouanq
- Department of Epidemiology and Public Health; University Hospital; Rennes France
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Kerbrat A, Aubert-Broche B, Fonov V, Narayanan S, Sled JG, Arnold DA, Banwell B, Collins DL. Reduced head and brain size for age and disproportionately smaller thalami in child-onset MS. Neurology 2012; 78:194-201. [PMID: 22218275 DOI: 10.1212/wnl.0b013e318240799a] [Citation(s) in RCA: 58] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE Whole brain and regional volume measurement methods were used to quantify white matter, gray matter, and deep gray matter structure volumes in a population of patients with pediatric-onset multiple sclerosis (MS). METHODS Subjects included 38 patients (mean age 15.2 ± 2.4 years) and 33 age- and sex-matched healthy control (HC) participants. MRI measures included intracranial volume, normalized brain volume, normalized white and gray matter volume, and volumes of the thalamus, globus pallidus, putamen, and caudate. Because these volumes vary across age and sex in children, we normalized the volume measurements for MS and control groups by computing z scores using normative values obtained from healthy children enrolled in the MRI Study of Normal Brain Development. RESULTS The intracranial volume z score was significantly lower in the patients with MS (-0.45 ± 1.16; mean ± SD) compared with the HC participants (+0.25 ± 0.98; p = 0.01). Patients with MS also demonstrated significant decreases in normalized brain volume z scores (-1.09 ± 1.49 vs -0.05 ± 1.22; p = 0.002). After correction for global brain volume, thalamic volumes in the MS population remained lower than those of HCs (-0.68 ± 1.72 vs 0.15 ± 1.35; p = 0.02), indicating an even greater loss of thalamic tissue relative to more global brain measures. Moderate correlations were found between T2-weighted lesion load and normalized thalamic volumes (r = -0.44, p < 0.01) and normalized brain volume (r = -0.47, p < 0.01) and between disease duration and normalized thalamic volume (r = -0.58, p < 0.001) and normalized brain volume (r = -0.46, p < 0.01). CONCLUSIONS When compared with age- and sex-matched control subjects, the onset of MS during childhood is associated with a smaller overall head size, brain volume, and an even smaller thalamic volume.
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Affiliation(s)
- A Kerbrat
- McConnell Brain Imaging Center , Montreal Neurological Institute, McGill University, Montreal, Canada
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Till C, Ghassemi R, Aubert-Broche B, Kerbrat A, Collins DL, Narayanan S, Arnold DL, Desrocher M, Sled JG, Banwell BL. MRI correlates of cognitive impairment in childhood-onset multiple sclerosis. Neuropsychology 2011; 25:319-32. [PMID: 21534686 DOI: 10.1037/a0022051] [Citation(s) in RCA: 107] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
OBJECTIVE Brain MRI measures were correlated with neuropsychological function in 35 pediatric-onset multiple sclerosis (MS) patients and 33 age- and sex-matched healthy controls. METHOD Mean age of MS patients was 16.3 ± 2.3 years with average disease duration of 4.3 ± 3.1 years. Cortical gray matter, thalamic, and global brain volumes were calculated for all participants using a scaling factor computed using normalization of atrophy method to normalize total and regional brain volumes for head size. T1- and T2-weighted lesion volumes were calculated for MS patients. RESULTS Cognitive impairment (CI) was identified in 29% of the MS cohort. Cognitive deficits predominantly involved attention and processing speed, expressive language, and visuomotor integration. Relative to controls, the MS group showed significantly lower thalamic volume (p < .001), total brain volume (p < .008), and gray matter volume (p < .015). Corpus callosum area and thalamic volume differentiated patients identified as having CI from those without CI (p < .05). Regression models controlling for disease duration and age indicated that thalamic volume accounted for significant incremental variance in predicting global IQ, processing speed, and expressive vocabulary (ΔR2 ranging from .43 to .60) and was the most robust MRI predictor of cognition relative to other MRI metrics. CONCLUSIONS The robust association between cognitive function and reduced size of thalamus and global brain volume in pediatric-onset MS patients implicate neurodegenerative processes early in the disease course, and suggest that plasticity of an immature central nervous system is not sufficient to protect patients from the deleterious consequences of MS on cognitive neural networks. (PsycINFO Database Record (c) 2011 APA, all rights reserved).
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Affiliation(s)
- C Till
- Department of Psychology, York University, Toronto, Ontario, Canada.
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Kerbrat A, De L’epinois A. Évaluation des troubles de compétences de communication des sujets traumatisés crâniens graves : premiers travaux de validation de la grille d’observation de la communication pragmatique (GOCP) chez 28 sujets traumatisés crâniens graves en situation écol. Ann Phys Rehabil Med 2011. [DOI: 10.1016/j.rehab.2011.07.287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Kerbrat A, Le Page E, Leray E, Anani T, Coustans M, Desormeaux C, Guiziou C, Kassiotis P, Lallement F, Laplaud D, Diraison P, Rouhart F, Sartori E, Wardi R, Wiertlewski S, Edan G. Natalizumab and drug holiday in clinical practice: an observational study in very active relapsing remitting multiple sclerosis patients. J Neurol Sci 2011; 308:98-102. [PMID: 21665227 DOI: 10.1016/j.jns.2011.05.043] [Citation(s) in RCA: 63] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2011] [Accepted: 05/25/2011] [Indexed: 11/18/2022]
Abstract
BACKGROUND In order to reduce the risk of progressive multifocal leucoencephalopathy when using natalizumab for more than 12 months, a 6-month drug holiday has been discussed. However, the consequences on short term disease activity have been poorly assessed. OBJECTIVE The aim of this study was to assess clinical and radiological disease activity within 6 months after stopping natalizumab in very active relapsing remitting Multiple Sclerosis (RRMS) patients. METHODS In 8 hospitals from Western France, we retrospectively collected clinical and MRI data from consecutive RRMS patients treated with natalizumab for at least 6 months, and who stopped the drug for various reasons except therapeutic failure. Patients didn't receive any other disease modifying treatment after discontinuing natalizumab. RESULTS A total of 27 patients with very active RRMS before natalizumab start (mean annualized relapse rate of 2.3, MRI activity in 21 of 27 patients) were studied. Within 6 months after discontinuing natalizumab, 18 patients (67%) experienced clinical relapse and 3 additional patients had radiological activity, without clinical relapse. Four patients (15%) experienced a rebound activity, with severe relapse and 20 or more gadolinium enhancing lesions on MRI. CONCLUSION Such observational data didn't support the concept of drug holiday when using natalizumab in very active RRMS.
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Affiliation(s)
- A Kerbrat
- Service de neurologie, CIC-P 0203 INSERM, centre hospitalier universitaire, Rennes, France
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