Brain atrophy and lesion burden are associated with disability progression in a multiple sclerosis real-world dataset using only T2-FLAIR: The NeuroSTREAM MSBase study.


Journal

NeuroImage. Clinical
ISSN: 2213-1582
Titre abrégé: Neuroimage Clin
Pays: Netherlands
ID NLM: 101597070

Informations de publication

Date de publication:
2021
Historique:
received: 12 04 2021
revised: 28 07 2021
accepted: 18 08 2021
pubmed: 2 9 2021
medline: 20 1 2022
entrez: 1 9 2021
Statut: ppublish

Résumé

Methodological challenges limit the use of brain atrophy and lesion burden measures in the follow-up of multiple sclerosis (MS) patients on clinical routine datasets. To determine the feasibility of T2-FLAIR-only measures of lateral ventricular volume (LVV) and salient central lesion volume (SCLV), as markers of disability progression (DP) in MS. A total of 3,228 MS patients from 9 MSBase centers in 5 countries were enrolled. Of those, 2,875 (218 with clinically isolated syndrome, 2,231 with relapsing-remitting and 426 with progressive disease subtype) fulfilled inclusion and exclusion criteria. Patients were scanned on either 1.5 T or 3 T MRI scanners, and 5,750 brain scans were collected at index and on average after 42.3 months at post-index. Demographic and clinical data were collected from the MSBase registry. LVV and SCLV were measured on clinical routine T2-FLAIR images. Longitudinal LVV and SCLV analyses were successful in 96% of the scans. 57% of patients had scanner-related changes over the follow-up. After correcting for age, sex, disease duration, disability, disease-modifying therapy and LVV at index, and follow-up time, MS patients with DP (n = 671) had significantly greater absolute LVV change compared to stable (n = 1,501) or disability improved (DI, n = 248) MS patients (2.0 mL vs. 1.4 mL vs. 1.1 mL, respectively, ANCOVA p < 0.001, post-hoc pair-wise DP vs. Stable p = 0.003; and DP vs. DI, p = 0.002). Similar ANCOVA model was also significant for SCLV (p = 0.03). LVV-based atrophy and SCLV-based lesion outcomes are feasible on clinically acquired T2-FLAIR scans in a multicenter fashion and are associated with DP over mid-term.

Sections du résumé

BACKGROUND
Methodological challenges limit the use of brain atrophy and lesion burden measures in the follow-up of multiple sclerosis (MS) patients on clinical routine datasets.
OBJECTIVE
To determine the feasibility of T2-FLAIR-only measures of lateral ventricular volume (LVV) and salient central lesion volume (SCLV), as markers of disability progression (DP) in MS.
METHODS
A total of 3,228 MS patients from 9 MSBase centers in 5 countries were enrolled. Of those, 2,875 (218 with clinically isolated syndrome, 2,231 with relapsing-remitting and 426 with progressive disease subtype) fulfilled inclusion and exclusion criteria. Patients were scanned on either 1.5 T or 3 T MRI scanners, and 5,750 brain scans were collected at index and on average after 42.3 months at post-index. Demographic and clinical data were collected from the MSBase registry. LVV and SCLV were measured on clinical routine T2-FLAIR images.
RESULTS
Longitudinal LVV and SCLV analyses were successful in 96% of the scans. 57% of patients had scanner-related changes over the follow-up. After correcting for age, sex, disease duration, disability, disease-modifying therapy and LVV at index, and follow-up time, MS patients with DP (n = 671) had significantly greater absolute LVV change compared to stable (n = 1,501) or disability improved (DI, n = 248) MS patients (2.0 mL vs. 1.4 mL vs. 1.1 mL, respectively, ANCOVA p < 0.001, post-hoc pair-wise DP vs. Stable p = 0.003; and DP vs. DI, p = 0.002). Similar ANCOVA model was also significant for SCLV (p = 0.03).
CONCLUSIONS
LVV-based atrophy and SCLV-based lesion outcomes are feasible on clinically acquired T2-FLAIR scans in a multicenter fashion and are associated with DP over mid-term.

Identifiants

pubmed: 34469848
pii: S2213-1582(21)00246-1
doi: 10.1016/j.nicl.2021.102802
pmc: PMC8408519
pii:
doi:

Types de publication

Journal Article Multicenter Study Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

102802

Subventions

Organisme : NCATS NIH HHS
ID : UL1 TR001412
Pays : United States

Informations de copyright

Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.

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Auteurs

Michael Barnett (M)

Sydney Neuroimaging Analysis Centre, Camperdown, Sydney, Australia; Brain and Mind Centre, University of Sydney, Sydney, Australia. Electronic address: michael@sydneyneurology.com.au.

Niels Bergsland (N)

Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, NY, USA; IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Italy.

Bianca Weinstock-Guttman (B)

Jacobs Comprehensive MS Treatment and Research Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, NY, USA.

Helmut Butzkueven (H)

Box Hill Hospital, Melbourne, Australia.

Tomas Kalincik (T)

CORe, Department of Medicine, The University of Melbourne, Melbourne, Australia; MS Centre, The Royal Melbourne Hospital, University of Melbourne, Melbourne, Australia.

Patricia Desmond (P)

Department of Radiology, Royal Melbourne Hospital, The University of Melbourne, Melbourne, Australia.

Frank Gaillard (F)

Department of Radiology, Royal Melbourne Hospital, The University of Melbourne, Melbourne, Australia.

Vincent van Pesch (V)

Cliniques Universitaires Saint-Luc, Brussels, UCLouvain, Belgium.

Serkan Ozakbas (S)

Dokuz Eylül University, Izmir, Turkey.

Juan Ignacio Rojas (JI)

Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.

Cavit Boz (C)

KTU Medical Faculty Farabi Hospital, Trabzon, Turkey.

Ayse Altintas (A)

Koç University School of Medicine, Koç University Research Center for Translational Medicine (KUTTAM), İstanbul, Turkey.

Chenyu Wang (C)

Sydney Neuroimaging Analysis Centre, Camperdown, Sydney, Australia; Brain and Mind Centre, University of Sydney, Sydney, Australia.

Michael G Dwyer (MG)

Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, NY, USA; Center for Biomedical Imaging, Clinical Translational Science Institute, USA; University at Buffalo, NY, USA.

Suzie Yang (S)

Sydney Neuroimaging Analysis Centre, Camperdown, Sydney, Australia.

Dejan Jakimovski (D)

Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, NY, USA.

Kain Kyle (K)

Sydney Neuroimaging Analysis Centre, Camperdown, Sydney, Australia; Brain and Mind Centre, University of Sydney, Sydney, Australia.

Deepa P Ramasamy (DP)

Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, NY, USA.

Robert Zivadinov (R)

Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, NY, USA; Center for Biomedical Imaging, Clinical Translational Science Institute, USA; University at Buffalo, NY, USA.

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