UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

An update on the role of magnetic resonance imaging in predicting and monitoring multiple sclerosis progression

Ananthavarathan, Piriyankan; Sahi, Nitin; Chard, Declan T; (2024) An update on the role of magnetic resonance imaging in predicting and monitoring multiple sclerosis progression. Expert Review of Neurotherapeutics pp. 1-16. 10.1080/14737175.2024.2304116. (In press). Green open access

[thumbnail of Ananthavarathan_An update on the role of magnetic resonance imaging in predicting and monitoring multiple sclerosis progression_AOP.pdf]
Preview
PDF
Ananthavarathan_An update on the role of magnetic resonance imaging in predicting and monitoring multiple sclerosis progression_AOP.pdf - Published Version

Download (1MB) | Preview

Abstract

INTRODUCTION: While magnetic resonance imaging (MRI) is established in diagnosing and monitoring disease activity in multiple sclerosis (MS), its utility in predicting and monitoring disease progression is less clear. AREAS COVERED: The authors consider changing concepts in the phenotypic classification of MS, including progression independent of relapses; pathological processes underpinning progression; advances in MRI measures to assess them; how well MRI features explain and predict clinical outcomes, including models that assess disease effects on neural networks, and the potential role for machine learning. EXPERT OPINION: Relapsing-remitting and progressive MS have evolved from being viewed as mutually exclusive to having considerable overlap. Progression is likely the consequence of several pathological elements, each important in building more holistic prognostic models beyond conventional phenotypes. MRI is well placed to assess pathogenic processes underpinning progression, but we need to bridge the gap between MRI measures and clinical outcomes. Mapping pathological effects on specific neural networks may help and machine learning methods may be able to optimize predictive markers while identifying new, or previously overlooked, clinically relevant features. The ever-increasing ability to measure features on MRI raises the dilemma of what to measure and when, and the challenge of translating research methods into clinically useable tools.

Type: Article
Title: An update on the role of magnetic resonance imaging in predicting and monitoring multiple sclerosis progression
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1080/14737175.2024.2304116
Publisher version: http://dx.doi.org/10.1080/14737175.2024.2304116
Language: English
Additional information: © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Multiple sclerosis, PIRA, brain atrophy, chronic inflammation, compartmentalized inflammation, disability progression, neurodegeneration, progression independent of relapse
URI: https://discovery.ucl.ac.uk/id/eprint/10185988
Downloads since deposit
18Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item