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Imaging muscle as a potential biomarker of denervation in motor neuron disease

Authors :
Eoghan O’Brien
Charlotte David
James J.P. Alix
Christopher J McDermott
Kathleen Baster
Nigel Hoggard
Eilish Pearson
Iain D. Wilkinson
D. Ganesh Rao
Pamela J. Shaw
Thomas M Jenkins
Mike Bradburn
Julia Bigley
Source :
Journal of Neurology, Neurosurgery & Psychiatry. 89:248-255
Publication Year :
2017
Publisher :
BMJ, 2017.

Abstract

ObjectiveTo assess clinical, electrophysiological and whole-body muscle MRI measurements of progression in patients with motor neuron disease (MND), as tools for future clinical trials, and to probe pathophysiological mechanisms in vivo.MethodsA prospective, longitudinal, observational, clinicoelectrophysiological and radiological cohort study was performed. Twenty-nine patients with MND and 22 age-matched and gender-matched healthy controls were assessed with clinical measures, electrophysiological motor unit number index (MUNIX) and T2-weighted whole-body muscle MRI, at first clinical presentation and 4 months later. Between-group differences and associations were assessed using age-adjusted and gender-adjusted multivariable regression models. Within-subject longitudinal changes were assessed using paired t-tests. Patterns of disease spread were modelled using mixed-effects multivariable regression, assessing associations between muscle relative T2 signal and anatomical adjacency to site of clinical onset.ResultsPatients with MND had 30% higher relative T2 muscle signal than controls at baseline (all regions mean, 95% CI 15% to 45%, pConclusionsWhole-body muscle MRI offers a new approach to objective assessment of denervation over short timescales in MND and enables investigation of patterns of disease spread in vivo. Muscles inaccessible to conventional clinical and electrophysiological assessment may be investigated using this methodology.

Details

ISSN :
1468330X and 00223050
Volume :
89
Database :
OpenAIRE
Journal :
Journal of Neurology, Neurosurgery & Psychiatry
Accession number :
edsair.doi.dedup.....d1052709ae0ab39f04ee3a7e1460b282
Full Text :
https://doi.org/10.1136/jnnp-2017-316744