4.5 Article

Using quantitative magnetic resonance imaging to track cerebral alterations in multiple sclerosis brain: A longitudinal study

Journal

BRAIN AND BEHAVIOR
Volume -, Issue -, Pages -

Publisher

WILEY
DOI: 10.1002/brb3.2923

Keywords

longitudinal analysis; multiple sclerosis; quantitative MRI; relaxometry

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This study used qMRI technology to investigate the microstructural changes in the brain of multiple sclerosis patients and found that qMRI parameters could reflect tissue damage and repair mechanisms. In patients with better clinical outcomes, qMRI parameters showed evidence of microstructural repair mechanisms in normal appearing brain tissues and modification in the surrounding brain tissues of WM lesions. These findings highlight the potential value of qMRI in monitoring tissue repair and disease progression.
IntroductionQuantitative MRI quantifies tissue microstructural properties and supports the characterization of cerebral tissue damages. With an MPM protocol, 4 parameter maps are constructed: MTsat, PD, R1 and R2*, reflecting tissue physical properties associated with iron and myelin contents. Thus, qMRI is a good candidate for in vivo monitoring of cerebral damage and repair mechanisms related to MS. Here, we used qMRI to investigate the longitudinal microstructural changes in MS brain. MethodsSeventeen MS patients (age 25-65, 11 RRMS) were scanned on a 3T MRI, in two sessions separated with a median of 30 months, and the parameters evolution was evaluated within several tissue classes: NAWM, NACGM and NADGM, as well as focal WM lesions. An individual annual rate of change for each qMRI parameter was computed, and its correlation to clinical status was evaluated. For WM plaques, three areas were defined, and a GLMM tested the effect of area, time points, and their interaction on each median qMRI parameter value. ResultsPatients with a better clinical evolution, that is, clinically stable or improving state, showed positive annual rate of change in MTsat and R2* within NAWM and NACGM, suggesting repair mechanisms in terms of increased myelin content and/or axonal density as well as edema/inflammation resorption. When examining WM lesions, qMRI parameters within surrounding NAWM showed microstructural modifications, even before any focal lesion is visible on conventional FLAIR MRI. ConclusionThe results illustrate the benefit of multiple qMRI data in monitoring subtle changes within normal appearing brain tissues and plaque dynamics in relation with tissue repair or disease progression.

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