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Predictors of long-term disability in multiple sclerosis patients using routine magnetic resonance imaging data: A 15-year retrospective study
Altokhis, Amjad Alotaibi, Abdulmajeed Morgan, Paul S. Tanasescu, Radu Evangelou, Nikos
Altokhis, Amjad
Alotaibi, Abdulmajeed
Morgan, Paul S.
Tanasescu, Radu
Evangelou, Nikos
Abstract
INTRODUCTION: Early identification of patients at high risk of progression could help with a personalised treatment strategy. Magnetic resonance imaging (MRI) measures have been proposed to predict long-term disability in multiple sclerosis (MS), but a reliable predictor that can be easily implemented clinically is still needed., AIM: Assess MRI measures during the first 5 years of the MS disease course for the ability to predict progression at 10+ years., METHODS: Eighty-two MS patients (53 females), with >=10 years of clinical follow-up and having two MRI scans, were included. Clinical data were obtained at baseline, follow-up and at >=10 years. White matter lesion (WML) counts and volumes, and four linear brain sizes were measured on T2/FLAIR 'Fluid-Attenuated-Inversion-Recovery' and T1-weighted images., RESULTS: Baseline and follow-up inter-caudate diameter (ICD) and third ventricular width (TVW) measures correlated positively with Expanded Disability Status Scale, >=10 or more of WMLs showed a high sensitivity in predicting progression, at >=10 years. A steeper rate of lesion volume increase was observed in subjects converting to secondary progressive MS. The sensitivity and specificity of both ICD and TVW, to predict disability at >=10 years were 60% and 64%, respectively., CONCLUSION: Despite advances in brain imaging and computerised volumetric analysis, ICD and TVW remain relevant as they are simple, fast and have the potential in predicting long-term disability. However, in this study, despite the statistical significance of these measures, the clinical utility is still not reliable.
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Date
2023
Type
Article
Subject
Multiple sclerosis, Magnetic resonance imaging, Follow-up studies
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Citation
Altokhis, A., Alotaibi, A., Morgan, P., Tanasescu, R. and Evangelou, N. (2023) 'Predictors of long-term disability in multiple sclerosis patients using routine magnetic resonance imaging data: A 15-year retrospective study', The Neuroradiology Journal, 36(5), pp. 524–532. doi: 10.1177/19714009221150853 https://doi.org/10.1177/19714009221150853.