The evolving contribution of MRI measures towards the prediction of secondary progressive multiple sclerosis

被引:0
|
作者
Ananthavarathan, Piriyankan [1 ]
Sahi, Nitin [1 ]
Chung, Karen [1 ]
Haider, Lukas [1 ,2 ]
Prados, Ferran [3 ,4 ,5 ]
Trip, S. Anand [6 ]
Ciccarelli, Olga [7 ]
Barkhof, Frederik [8 ,9 ,10 ]
Tur, Carmen [1 ,11 ]
Chard, Declan T. [1 ,12 ]
机构
[1] UCL, Dept Neuroinflammat, NMR Res Unit, Queen Sq Multiple Sclerosis Ctr, London, England
[2] Med Univ Vienna, Dept Biomed Imaging & Image Guided Therapy, Vienna, Austria
[3] UCL, Dept Neuroinflammat |, Dept Med Phys & Biomed Engn, NMR Res Unit,Queen Sq Multiple Sclerosis Ctr, London, England
[4] UCL, Ctr Med Image Comp CMIC, Dept Med Phys & Biomed Engn, Queen Sq Multiple Sclerosis Ctr, London, England
[5] Univ Oberta Catalunya, Ehlth Ctr, Barcelona, Spain
[6] UCL, Dept Neuroinflammat, London, England
[7] UCL, Dept Neuroinflammat, Queen Sq Multiple Sclerosis Ctr, London, England
[8] UCL, Dept Neuroinflammat, Dept Med Phys & Biomed Engn, NMR Res Unit,Queen Sq Inst Neurol, London, England
[9] UCL, Ctr Med Image Comp CMIC, Dept Med Phys & Biomed Engn, Queen Sq Inst Neurol, London, England
[10] Amsterdam UMC Locat AMC, Dept Radiol & Nucl Med, Amsterdam, Netherlands
[11] Vall dHebron Univ Hosp, Multiple Sclerosis Ctr Catalonia Cemcat, Neurol Neuroimmunol Dept, Barcelona, Spain
[12] UCL, Natl Inst Hlth & Care Res, Hosp Biomed Res Ctr, London, England
关键词
MULTIPLE SCLEROSIS; MRI; NEURORADIOLOGY; CLINICAL NEUROLOGY; LONG-TERM DISABILITY; GRAY-MATTER ATROPHY; NATURAL-HISTORY; BRAIN-STEM; FOLLOW-UP; LESIONS; IMPAIRMENT; ASSOCIATION; THERAPY; ONSET;
D O I
10.1136/jnnp-2024-333917
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background In multiple sclerosis (MS), both lesion accrual and brain atrophy predict clinical outcomes. However, it is unclear whether these prognostic features are equally relevant throughout the course of MS. Among 103 participants recruited following a clinically isolated syndrome (CIS) and followed up over 30 years, we explored (1) whether white matter lesions were prognostically more relevant earlier and brain atrophy later in the disease course towards development of secondary progressive (SP) disease; (2) if so, when the balance in prognostic contribution shifts and (3) whether optimised prognostic models predicting SP disease should include different features dependent on disease duration.Methods Binary logistic regression models were built using age, gender, brain lesion counts and locations, and linear atrophy measures (third ventricular width and medullary width) at each time point up to 20 years, using either single time point data alone or adjusted for baseline measures.Results By 30 years, 27 participants remained CIS while 60 had MS (26 SPMS and 16 MS-related death). Lesions counts were prognostically significant from baseline and at all later time points while linear atrophy measure models reached significance from 5 years. When adjusted for baseline, in combined MRI models including lesion count and linear atrophy measures, only lesion counts were significant predictors. In combined models including relapse measures, Expanded Disability Status Scale scores and MRI measures, only infratentorial lesions were significant predictors throughout.Conclusions While SPMS progression is associated with brain atrophy, in predictive models only infratentorial lesions were consistently prognostically significant.
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页数:8
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