Characterization of multiple sclerosis lesions with distinct clinical correlates through quantitative diffusion MRI.
Diffusion magnetic resonance imaging
K-means clustering algorithm
MRI
MS lesion types
Multiple Sclerosis
Journal
NeuroImage. Clinical
ISSN: 2213-1582
Titre abrégé: Neuroimage Clin
Pays: Netherlands
ID NLM: 101597070
Informations de publication
Date de publication:
2020
2020
Historique:
received:
22
06
2020
revised:
24
08
2020
accepted:
01
09
2020
pubmed:
21
9
2020
medline:
29
6
2021
entrez:
20
9
2020
Statut:
ppublish
Résumé
Diffusion magnetic resonance imaging can reveal quantitative information about the tissue changes in multiple sclerosis. The recently developed multi-compartment spherical mean technique can map different microscopic properties based only on local diffusion signals, and it may provide specific information on the underlying microstructural modifications that arise in multiple sclerosis. Given that the lesions in multiple sclerosis may reflect different degrees of damage, we hypothesized that quantitative diffusion maps may help characterize the severity of lesions "in vivo" and correlate these to an individual's clinical profile. We evaluated this in a cohort of 59 multiple sclerosis patients (62% female, mean age 44.7 years), for whom demographic and disease information was obtained, and who underwent a comprehensive physical and cognitive evaluation. The magnetic resonance imaging protocol included conventional sequences to define focal lesions, and multi-shell diffusion imaging was used with b-values of 1000, 2000 and 3000 s/mm
Identifiants
pubmed: 32950904
pii: S2213-1582(20)30248-5
doi: 10.1016/j.nicl.2020.102411
pmc: PMC7502564
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
102411Subventions
Organisme : Medical Research Council
ID : MR/K501256/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/N013468/1
Pays : United Kingdom
Informations de copyright
Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.
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