Automated Quantitative Susceptibility and Morphometry MR Study: Feasibility and Interrelation Between Clinical Score, Lesion Load, Deep Grey Matter and Normal-Appearing White Matter in Multiple Sclerosis

Automated Quantitative Susceptibility and Morphometry MR Study: Feasibility and Interrelation Between Clinical Score, Lesion Load, Deep Grey Matter and Normal-Appearing White Matter in Multiple Sclerosis

Introduction: Lesion load (LL), deep gray matter (DGM) and normal-appearing white matter (NAWM) susceptibility and morphometry may help in monitoring brain changes in multiple sclerosis (MS) patients. We aimed at evaluating the feasibility of a fully automated segmentation and the potential interrel...

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Bibliographic Details
Main Authors: Gibran Manasseh, Tom Hilbert, Mário João Fartaria, Jeremy Deverdun, Meritxell Bach Cuadra, Bénédicte Maréchal, Tobias Kober, Vincent Dunet
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Diagnostics
Subjects:
multiple sclerosis
quantitative susceptibility mapping
morphometry
atrophy
clinical disability
EDSS
Online Access:https://www.mdpi.com/2075-4418/14/23/2669
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Summary:Introduction: Lesion load (LL), deep gray matter (DGM) and normal-appearing white matter (NAWM) susceptibility and morphometry may help in monitoring brain changes in multiple sclerosis (MS) patients. We aimed at evaluating the feasibility of a fully automated segmentation and the potential interrelation between these biomarkers and clinical disability. Methods: Sixty-six patients with brain MRIs and clinical evaluations (Expanded Disability Status Scale [EDSS]) were retrospectively included. Automated prototypes were used for the segmentation and morphometry of brain regions (MorphoBox) and MS lesions (LeManPV). Susceptibility maps were estimated using standard post-processing (RESHARP and TVSB). Spearman’s rho was computed to evaluate the interrelation between biomarkers and EDSS. Results: We found (i) anticorrelations between the LL and right thalamus susceptibility (rho = −0.46, <i>p</i> < 0.001) and between the LL and NAWM susceptibility (rho = [−0.68 to −0.25], <i>p</i> ≤ 0.05); (ii) an anticorrelation between LL and DGM (rho = [−0.71 to −0.36], <i>p</i> < 0.04) and WM morphometry (rho = [−0.64 to −0.28], <i>p</i> ≤ 0.01); and (iii) a positive correlation between EDSS and LL (rho = [0.28 to 0.5], <i>p</i> ≤ 0.03) and anticorrelation between EDSS and NAWM susceptibility (rho = [−0.29 to −0.38], <i>p</i> < 0.014). Conclusions: Fully automated brain morphometry and susceptibility monitoring is feasible in MS patients. The lesion load, thalamus and NAWM susceptibility values and trophicity are interrelated and correlate with disability.
ISSN:2075-4418

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