What contributes to disability in progressive MS? A brain and cervical cord–matched quantitative MRI study

Author:

Tur Carmen12ORCID,Battiston Marco1,Yiannakas Marios C1,Collorone Sara1ORCID,Calvi Alberto13ORCID,Prados Ferran145,Kanber Baris14,Grussu Francesco16ORCID,Ricciardi Antonio1,Pajak Patrizia1,Martinelli Daniele7ORCID,Schneider Torben8,Ciccarelli Olga19,Samson Rebecca S1ORCID,Wheeler-Kingshott Claudia AM Gandini110

Affiliation:

1. NMR Research Unit, Queen Square Multiple Sclerosis Centre, UCL (University College London) Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK

2. Multiple Sclerosis Centre of Catalonia (Cemcat). Vall d’Hebron Institute of Research. Vall d’Hebron Barcelona Hospital Campus, Barcelona, Spain

3. Fundació de Recerca Clínic Barcelona–Institut d’Investigacions Biomèdiques August Pi i Sunyer, Hospital Clinic, Barcelona, Spain

4. Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, UK

5. eHealth Center, Universitat Oberta de Catalunya, Barcelona, Spain

6. Radiomics Group, Vall d’Hebron Institute of Oncology, Vall d’Hebron Barcelona Hospital Campus, Barcelona, Spain

7. Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy

8. Philips Healthcare, Guildford, UK

9. NIHR UCLH Biomedical Research Centre, London, UK

10. Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy; Brain Connectivity Research Center, IRCCS Mondino Foundation, Pavia, Italy

Abstract

Background: We assessed the ability of a brain-and-cord-matched quantitative magnetic resonance imaging (qMRI) protocol to differentiate patients with progressive multiple sclerosis (PMS) from controls, in terms of normal-appearing (NA) tissue abnormalities, and explain disability. Methods: A total of 27 patients and 16 controls were assessed on the Expanded Disability Status Scale (EDSS), 25-foot timed walk (TWT), 9-hole peg (9HPT) and symbol digit modalities (SDMT) tests. All underwent 3T brain and (C2-C3) cord structural imaging and qMRI (relaxometry, quantitative magnetisation transfer, multi-shell diffusion-weighted imaging), using a fast brain-and-cord–matched protocol with brain-and-cord–unified imaging readouts. Lesion and NA-tissue volumes and qMRI metrics reflecting demyelination and axonal loss were obtained. Random forest analyses identified the most relevant volumetric/qMRI measures to clinical outcomes. Confounder-adjusted linear regression estimated the actual MRI-clinical associations. Results: Several qMRI/volumetric differences between patients and controls were observed ( p < 0.01). Higher NA-deep grey matter quantitative-T1 (EDSS: beta = 7.96, p = 0.006; 9HPT: beta = −0.09, p = 0.004), higher NA-white matter orientation dispersion index (TWT: beta = −3.21, p = 0.005; SDMT: beta = −847.10, p < 0.001), lower whole-cord bound pool fraction (9HPT: beta = 0.79, p = 0.001) and higher NA-cortical grey matter quantitative-T1 (SDMT = −94.31, p < 0.001) emerged as particularly relevant predictors of greater disability. Conclusion: Fast brain-and-cord–matched qMRI protocols are feasible and identify demyelination – combined with other mechanisms – as key for disability accumulation in PMS.

Funder

HORIZON EUROPE Framework Programme

Ataxia UK

Wings for Life

Medical Research Council

nstituto de Salud Carlos III

BRC

Multiple Sclerosis Society

'la Caixa' Foundation

Publisher

SAGE Publications

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