Prognostic value of spinal cord lesion measures in early relapsing-remitting multiple sclerosis.

MRI clinical neurology image analysis multiple sclerosis

Journal

Journal of neurology, neurosurgery, and psychiatry
ISSN: 1468-330X
Titre abrégé: J Neurol Neurosurg Psychiatry
Pays: England
ID NLM: 2985191R

Informations de publication

Date de publication:
14 Dec 2023
Historique:
received: 05 05 2023
accepted: 12 07 2023
pubmed: 27 7 2023
medline: 27 7 2023
entrez: 26 7 2023
Statut: epublish

Résumé

Spinal cord (SC) lesions have been associated with unfavourable clinical outcomes in multiple sclerosis (MS). However, the relation of whole SC lesion number (SCLN) and volume (SCLV) to the future occurrence and type of confirmed disability accumulation (CDA) remains largely unexplored. In this monocentric retrospective study, SC lesions were manually delineated. Inclusion criteria were: age between 18 and 60 years, relapsing-remitting MS, disease duration under 2 years and clinical follow-up of 5 years. The first CDA event after baseline, determined by a sustained increase in the Expanded Disability Status Scale over 6 months, was classified as either progression independent of relapse activity (PIRA) or relapse-associated worsening (RAW). SCLN and SCLV were compared between different (sub)groups to assess their prospective value. 204 patients were included, 148 of which had at least one SC lesion and 59 experienced CDA. Patients without any SC lesions experienced significantly less CDA (OR 5.8, 95% CI 2.1 to 19.8). SCLN and SCLV were closely correlated (r Patients without any SC lesions are notably less likely to experience CDA. Both the number and volume of SC lesions on MRI are associated with future accumulation of disability largely independent of relapses.

Sections du résumé

BACKGROUND BACKGROUND
Spinal cord (SC) lesions have been associated with unfavourable clinical outcomes in multiple sclerosis (MS). However, the relation of whole SC lesion number (SCLN) and volume (SCLV) to the future occurrence and type of confirmed disability accumulation (CDA) remains largely unexplored.
METHODS METHODS
In this monocentric retrospective study, SC lesions were manually delineated. Inclusion criteria were: age between 18 and 60 years, relapsing-remitting MS, disease duration under 2 years and clinical follow-up of 5 years. The first CDA event after baseline, determined by a sustained increase in the Expanded Disability Status Scale over 6 months, was classified as either progression independent of relapse activity (PIRA) or relapse-associated worsening (RAW). SCLN and SCLV were compared between different (sub)groups to assess their prospective value.
RESULTS RESULTS
204 patients were included, 148 of which had at least one SC lesion and 59 experienced CDA. Patients without any SC lesions experienced significantly less CDA (OR 5.8, 95% CI 2.1 to 19.8). SCLN and SCLV were closely correlated (r
CONCLUSION CONCLUSIONS
Patients without any SC lesions are notably less likely to experience CDA. Both the number and volume of SC lesions on MRI are associated with future accumulation of disability largely independent of relapses.

Identifiants

pubmed: 37495267
pii: jnnp-2023-331799
doi: 10.1136/jnnp-2023-331799
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

37-43

Informations de copyright

© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: VP has received research funding from Novartis (Oppenheim Förderpreis 2017). AB has received consulting and/or speaker fees from Alexion, Biogen, Celgene, Horizon, Novartis, Roche and Sandoz/Hexal. His institution has received compensation for clinical trials from Alexion, Biogen, Merck, Novartis, Roche, and Sanofi Genzyme. JSK has received research funding from the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG; project 432290010), the German Federal Ministry of Education and Research (13GW0469D) and the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (101045128—iBack-epic—ERC-2021-COG). He is Co-Founder of Bonescreen. BH has served on scientific advisory boards for Novartis; he has served as DMSC member for AllergyCare, Sandoz, Polpharma, Biocon and TG therapeutics; his institution received research grants from Roche for multiple sclerosis research. He has received honoraria for counseling (Gerson Lehrmann Group). He holds part of two patents; one for the detection of antibodies against KIR4.1 in a subpopulation of patients with multiple sclerosis and one for genetic determinants of neutralising antibodies to interferon.

Auteurs

Markus Lauerer (M)

Department of Neurology, School of Medicine, Technical University, Munich, Germany.
TUM-Neuroimaging Center, School of Medicine, Technical University, Munich, Germany.

Julian McGinnis (J)

Department of Neurology, School of Medicine, Technical University, Munich, Germany.
Institute for AI in Medicine, Technical University, Munich, Germany.

Matthias Bussas (M)

Department of Neurology, School of Medicine, Technical University, Munich, Germany.
TUM-Neuroimaging Center, School of Medicine, Technical University, Munich, Germany.

Malek El Husseini (M)

Department of Neuroradiology, School of Medicine, Technical University, Munich, Germany.

Viola Pongratz (V)

Department of Neurology, School of Medicine, Technical University, Munich, Germany.
TUM-Neuroimaging Center, School of Medicine, Technical University, Munich, Germany.

Christina Engl (C)

Department of Neurology, School of Medicine, Technical University, Munich, Germany.

Alexander Wuschek (A)

Department of Neurology, School of Medicine, Technical University, Munich, Germany.

Achim Berthele (A)

Department of Neurology, School of Medicine, Technical University, Munich, Germany.

Isabelle Riederer (I)

Department of Neuroradiology, School of Medicine, Technical University, Munich, Germany.

Jan S Kirschke (JS)

Department of Neuroradiology, School of Medicine, Technical University, Munich, Germany.

Claus Zimmer (C)

Department of Neuroradiology, School of Medicine, Technical University, Munich, Germany.

Bernhard Hemmer (B)

Department of Neurology, School of Medicine, Technical University, Munich, Germany.
Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.

Mark Mühlau (M)

Department of Neurology, School of Medicine, Technical University, Munich, Germany mark.muehlau@tum.de.
TUM-Neuroimaging Center, School of Medicine, Technical University, Munich, Germany.

Classifications MeSH