Evidence map›Paper›PMID 42028790›Full record

ArticleMultiple sclerosis (Houndmills, Basingstoke, England)2026

Generalizable spinal cord multiple sclerosis lesion segmentation across MRI contrasts, protocols, and centers.

Pierre-Louis Benveniste, Laurent Létourneau-Guillon, David Araujo, Lydia Chougar, Dumitru Fetco, Masaaki Hori, Kouhei Kamiya, Steven Messina, Charidimos Tsagkas, Bertrand Audoin and 45 more

Abstract readMulticenter Study
In one paragraph

Article in Multiple sclerosis (Houndmills, Basingstoke, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

55 authors.

Pierre-Louis BenvenisteNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada; Mila-Quebec AI Institute, Montreal, QC, Canada.ORCID 0009-0003-3122-1957
Laurent Létourneau-GuillonCentre de Recherche du Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, QC, Canada.
David AraujoMcConnell Brain Imaging Center, McGill, Montréal, QC, Canada.ORCID 0000-0002-1600-6138
Lydia ChougarThe Neuro-Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada; Department of Neuroradiology, Sorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, AP-HP, CNRS, Inserm, Hôpital de la Pitié Salpêtrière, Paris, France.
Dumitru FetcoMcConnell Brain Imaging Center, McGill University, Montréal, QC, Canada; NeuroRx, A Clario Company, Montréal, QC, Canada; 7T MRI MS Working Group, North American Imaging in MS, MNI, Montréal, QC, Canada.ORCID 0000-0003-1335-8274
Masaaki HoriDepartment of Radiology, Toho University Omori Medical Center, Tokyo, Japan.ORCID 0000-0002-1791-8032
Kouhei KamiyaDepartment of Radiology, Toho University Omori Medical Center, Tokyo, Japan.
Steven MessinaDepartment of Radiology, Mayo Clinic College of Medicine and Science, Rochester, MN, USA.
Charidimos TsagkasDepartment of Neurology, University Hospital Basel, University of Basel, Basel, Switzerland; National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.
Bertrand AudoinAix-Marseille Univ, CNRS, CRMBM, Marseille, France; AP-HM, Hôpital Universitaire Timone, CEMEREM, Marseille, France; Neurology Department, AP-HM, Hôpital Universitaire Timone, Marseille, France.ORCID 0000-0002-9860-7657
Rohit BakshiBrigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0001-8601-5534
Elise BannierUniv Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Visages U1128, Rennes, France; Radiology Department, CHU Rennes, Rennes, France.ORCID 0000-0002-8942-7486
Daniel BlezekDepartments of Radiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science, Rochester, MN, USA.ORCID 0000-0002-6498-6273
Jean-Christophe BrissetBrisset JC Ph.D.-Medical Imaging Consulting, Sophia Antipolis, Valbonne, France.ORCID 0000-0002-7947-3622
Virginie CallotAix-Marseille Univ, CNRS, CRMBM, Marseille, France; AP-HM, Hôpital Universitaire Timone, CEMEREM, Marseille, France.ORCID 0000-0003-0850-1742
Erik CharlsonDepartments of Neurology & Radiology, NYU Langone Medical Center, New York, NY, USA.
Michelle ChenNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada.ORCID 0009-0005-7711-5492
Olga CiccarelliQueen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.ORCID 0000-0001-7485-1367
Sarah DemortièreNeurology Department, AP-HM, Hôpital Universitaire Timone, Marseille, France.
Gilles EdanUniv Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Visages U1128, Rennes, France; Radiology Department, CHU Rennes, Rennes, France.ORCID 0000-0002-9641-6734
Massimo FilippiNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy; Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy; Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy.ORCID 0000-0002-5485-0479
Tobias GranbergDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden.ORCID 0000-0001-6700-1022
Cristina GranzieraDepartment of Neurology, University Hospital Basel, University of Basel, Basel, Switzerland.ORCID 0000-0002-4917-8761
Christopher C HemondDepartments of Neurology, University of Massachusetts Memorial Medical Center and University of Massachusetts Chan Medical School, Worcester, MA, USA.ORCID 0000-0002-2408-4638
B Mark KeeganDepartment of Neurology, Mayo Clinic College of Medicine and Science, Rochester, MN, USA.ORCID 0000-0002-2880-935X
Anne KerbratUniv Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Visages U1128, Rennes, France; Radiology Department, CHU Rennes, Rennes, France.ORCID 0000-0002-4530-3553
Jan KirschkeDepartment of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, TUM School of Medicine and Health, Munich, Germany.ORCID 0000-0002-7557-0003
Shannon KolindDepartments of Medicine (Neurology), Physics, Radiology, University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0003-1362-1968
Pierre LabaugeMS Unit, Department of Neurology, University Hospital of Montpellier, Montpellier, France.
Lisa Eunyoung LeeDepartment of Medicine (Neurology), University of Toronto, Toronto, ON, Canada; BARLO Multiple Sclerosis Centre and Keenan Research Centre, St. Michael's Hospital, Toronto, ON, Canada.ORCID 0000-0002-8334-3740
Yaou LiuDepartment of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China; Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Caterina MaineroMartinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA.
Julian McGinnisDepartment of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, TUM School of Medicine and Health, Munich, Germany; Institute for AI in Medicine, Technical University of Munich, Munich, Germany.ORCID 0009-0000-2224-7600
Nilser Laines MedinaNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada; Mila-Quebec AI Institute, Montreal, QC, Canada; Aix-Marseille Univ, CNRS, CRMBM, Marseille, France; AP-HM, Hôpital Universitaire Timone, CEMEREM, Marseille, France.ORCID 0000-0003-0677-8991
Mark MühlauDepartment of Neurology, School of Medicine and Health, Technical University of Munich, Munich, Germany; TUM-Neuroimaging Center, School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID 0000-0002-9545-2709
Govind NairNational Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0003-3725-615X
Kristin P O'GradyVanderbilt University Institute of Imaging Science, Nashville, TN, USA.ORCID 0000-0002-4550-2026
Jiwon OhDepartment of Medicine (Neurology), University of Toronto, Toronto, ON, Canada; BARLO Multiple Sclerosis Centre and Keenan Research Centre, St. Michael's Hospital, Toronto, ON, Canada.ORCID 0000-0001-5519-6088
Russell OuelletteDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden.ORCID 0000-0001-9217-1445
Alexandre PratDepartment of Neuroscience, Université de Montréal, Montreal, QC, Canada; Neuroimmunology Research Laboratory, University of Montreal Hospital Research Centre (CRCHUM), Montreal, QC, Canada.
Daniel S ReichNational Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0002-2628-4334
Maria A RoccaNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy.ORCID 0000-0003-2358-4320
Timothy M ShepherdDepartments of Neurology & Radiology, NYU Langone Medical Center, New York, NY, USA.
Seth A SmithVanderbilt University Institute of Imaging Science, Nashville, TN, USA.ORCID 0000-0002-4168-562X
Leszek StawiarzDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0003-1018-3763
Jason TalbottDepartment of Radiology and Biomedical Imaging, Zuckerberg San Francisco General Hospital, University of California, San Francisco, CA, USA.
Roger TamSchool of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0002-4593-2587
Shahamat TauhidBrigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Anthony TraboulseeDepartments of Medicine (Neurology), Physics, Radiology, University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0002-0351-9639
Constantina Andrada TreabaMartinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0001-8260-207X
Paola ValsasinaNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0001-5390-2655
Zachary VavasourSchool of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada.
Marios YiannakasQueen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.ORCID 0000-0003-4986-446X
Hervé LombaertMila-Quebec AI Institute, Montreal, QC, Canada; Polytechnique Montréal, Montreal, QC, Canada.
Julien Cohen-AdadNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada; Mila-Quebec AI Institute, Montreal, QC, Canada; Functional Neuroimaging Unit, CRIUGM, Université de Montréal, Montreal, QC, Canada; Centre de Recherche du CHU Sainte-Justine, Université de Montréal, Montreal, QC, Canada.ORCID 0000-0003-3662-9532

Funding

Multimodal MRI in Multiple SclerosisZIANS003119 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI REICH, DANIEL · 2010 to 2025
$53.4M
NINDS Quantitative MRI Core FacilityZICNS009438 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI NAIR, GOVIND · 2022 to 2025
$4.3M
Intramural NIH HHS ZIA NS003119Intramural NIH HHS ZIC NS009438
6 · The paper itself

Abstract

BACKGROUND/

objectivesCharacterizing spinal cord multiple sclerosis (MS) lesions in MRI is critical for diagnosis, monitoring, and treatment evaluation. However, current automated approaches for lesion detection and segmentation are typically designed for specific MRI contrasts or acquisition sites, limiting their generalizability in real-world clinical settings where imaging protocols vary widely. This work proposes a robust multi-site, multi-contrast segmentation framework for spinal cord lesions.

methodsThe segmentation model was trained and evaluated on a large-scale dataset comprising 4428 annotated images from 1849 persons with MS across 23 imaging centers, encompassing six MRI contrasts (T1w, T2w, T2*w, PSIR, STIR, and UNIT1) acquired at 1.5 tesla (T), 3 T, and 7 T.

resultsLikert-type assessment performed by neuroradiologist ratings demonstrated superior generalization of the model compared to existing contrast-specific pipelines (

conclusionsThe proposed model can achieve accurate and reliable spinal cord MS lesion segmentation across heterogeneous MRI data, addressing a key barrier to clinical translation. The model is available in the Spinal Cord Toolbox v7.2 and higher.

Indexed as

Image Interpretation, Computer-AssistedImage Processing, Computer-AssistedMagnetic Resonance ImagingMultiple SclerosisSpinal CordAdultFemaleHumansMaledeep learninglesionmagnetic resonance imagingMRImultiple sclerosissegmentationSpinal cord

Identifiers

PMID42028790
PMCPMC13120723

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