Evidence map›Paper›PMID 30715195›Full record

ArticleBrain : a journal of neurology2019

Spatial distribution of multiple sclerosis lesions in the cervical spinal cord.

Dominique Eden, Charley Gros, Atef Badji, Sara M Dupont, Benjamin De Leener, Josefina Maranzano, Ren Zhuoquiong, Yaou Liu, Tobias Granberg, Russell Ouellette and 35 more

Open access · bronzeAbstract read
In one paragraph

Article in Brain : a journal of neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 2 pooled it
10.6field-weighted citation impact, top 1% of its field
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

61 citing papers in PubMed, 2 syntheses or guidelines pooled it, 112 citations in OpenAlex.

  1. Guideline
  2. Spinal cord imaging in multiple sclerosis: A vital component we can no longer overlook.Multiple sclerosis (Houndmills, Basingstoke, England) · 2026
    Pooled it
  3. Review
  4. Article
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  6. Review
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  10. Article
  11. Observational
  12. Article
  13. Article
  14. Experimental autoimmune encephalomyelitis pathogenesis alters along animal age: impact of S100B expression.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2025
    Article
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  16. Article
  17. Article
  18. Article
  19. Article
  20. Rootlets-based registration to the PAM50 spinal cord template.Imaging neuroscience (Cambridge, Mass.) · 2025
    Article

1 more citing papers are in PubMed but not listed here.

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

45 authors at 17 institutions in 8 countries.

Dominique EdenNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada.
Charley GrosNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada.
Atef BadjiNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada.
Sara M DupontNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada.
Benjamin De LeenerNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada.
Josefina MaranzanoMcConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Canada.
Ren ZhuoquiongDepartment of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, P. R. China.
Yaou LiuDepartment of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, P. R. China.
Tobias GranbergDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Russell OuelletteDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Leszek StawiarzDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Jan HillertDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Jason TalbottDepartment of Radiology and Biomedical Imaging, Zuckerberg San Francisco General Hospital, University of California, San Francisco, CA, USA.
Elise BannierCHU Rennes, Radiology Department, Rennes, France.
Anne KerbratUniv Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, EMPENN - ERL U 1228, Rennes, France.
Gilles EdanUniv Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, EMPENN - ERL U 1228, Rennes, France.
Pierre LabaugeMS Unit, Department of Neurology, University Hospital of Montpellier, Montpellier, France.
Virginie CallotAix Marseille University, CNRS, CRMBM, Marseille, France.
Jean PelletierAPHM, CHU Timone, CEMEREM, Marseille, France.
Bertrand AudoinAPHM, CHU Timone, CEMEREM, Marseille, France.
Henitsoa RasoanandrianinaAix Marseille University, CNRS, CRMBM, Marseille, France.
Jean-Christophe BrissetObservatoire 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 ValsasinaNeuroimaging Research Unit, INSPE, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.
Maria A RoccaNeuroimaging Research Unit, INSPE, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.
Massimo FilippiNeuroimaging Research Unit, INSPE, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.
Rohit BakshiBrigham and Women's Hospital, Harvard Medical School, Boston, USA.
Shahamat TauhidBrigham and Women's Hospital, Harvard Medical School, Boston, USA.
Ferran PradosQueen Square MS Centre, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London,UK.
Marios YiannakasQueen Square MS Centre, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London,UK.
Hugh KearneyQueen Square MS Centre, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London,UK.
Olga CiccarelliQueen Square MS Centre, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London,UK.
Seth A SmithVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.
Constantina Andrada TreabaMassachusetts General Hospital, Boston, USA.
Caterina MaineroMassachusetts General Hospital, Boston, USA.
Jennifer LefeuvreNational Institute of Neurological Disorders and Stroke, National Institutes of Health, Maryland, USA.
Daniel S ReichNational Institute of Neurological Disorders and Stroke, National Institutes of Health, Maryland, USA.
Govind NairNational Institute of Neurological Disorders and Stroke, National Institutes of Health, Maryland, USA.
Timothy M ShepherdDepartment of Radiology, NYU Langone Medical Center, New York, USA.
Erik CharlsonDepartment of Radiology, NYU Langone Medical Center, New York, USA.
Yasuhiko TachibanaNational Institute of Radiological Sciences, Chiba, Chiba, Japan.
Masaaki HoriDepartment of Radiology, Juntendo University School of Medicine, Tokyo, Japan.
Kouhei KamiyaDepartment of Radiology, Juntendo University School of Medicine, Tokyo, Japan.
Lydia ChougarDepartment of Radiology, Juntendo University School of Medicine, Tokyo, Japan.
Sridar NarayananMcConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Canada.
Julien Cohen-AdadNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada.
Centre National de la Recherche Scientifique · FRPolytechnique Montréal · CAKarolinska Institutet · SENational Hospital for Neurology and Neurosurgery · GBJuntendo University · JPNational Institutes of Health · USVita-Salute San Raffaele University · ITBrigham and Women's Hospital · USCapital Medical University · CNHôpital de la Timone · FRMassachusetts General Hospital · USMontreal Neurological Institute and Hospital · CANYU Langone Health · USSan Francisco General Hospital · USCentre Hospitalier Universitaire de Montpellier · FRUniversité Claude Bernard Lyon 1 · FRVanderbilt University Medical Center · US

Funding

Multimodal MRI in Multiple SclerosisZIANS003119 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI REICH, DANIEL · 2010 to 2025
$53.4M
Cortical mechanisms of disease progression in early multiple sclerosisR01NS078322 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI MAINERO, CATERINA · 2013 to 2017
$1.9M
Microstructural Characterization of the Optic Nerve in Optic NeuritisR01EY023240 · NEI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SMITH, SETH A · 2014 to 2017
$1.0M
In Vivo Macromolecular and Protein-Based MRI in the Spinal Cord of MS PatientsR21NS087465 · NINDS · VANDERBILT UNIVERSITY · PI SMITH, SETH A · 2014 to 2015
$431k
CIHR FDN-143263NEI NIH HHS R01 EY023240NINDS NIH HHS R01 NS078322NINDS NIH HHS R21 NS087465
6 · The paper itself

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.

Indexed as

AdultBrainCervical CordDisability EvaluationDisease ProgressionFemaleGray MatterHumansMagnetic Resonance ImagingMaleMiddle AgedMultiple SclerosisMultiple Sclerosis, Chronic ProgressiveMultiple Sclerosis, Relapsing-RemittingSpatial AnalysisSpinal CordlesionsMRImulticentremultiple sclerosisspinal cord

Identifiers

PMID30715195
PMCPMC6391605
OpenAlexW2908114395

What OpenQuestion holds

Textmetadata
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.