Keywords: Multiple Sclerosis, Multiple Sclerosis
Motivation: There is a need for biomarkers that are specific to micrometer-scale cellular features in multiple sclerosis (MS).
Goal(s): This study aims to evaluate and compare the sensitivity of various dMRI-based microstructural methods.
Approach: We conducted a comparative analysis of five dMRI-based microstructural methods—DTI, DKI, SMI, SMT, and NODDI—assessing the ability of their parameters to differentiate four clinically-relevant white matter tissue types in MS: cBHs (chronic black holes), T2-lesion, cBHs-NAWM, and T2-NAWM.
Results: Unlike DTI and DKI, only the multi-compartmental SMI, SMT, and NODDI can effectively distinguish cBHs from T2-lesions, highlighting their potential as more specific biomarkers for MS-related white matter changes.
Impact: This study provides a better understanding of how multiple widely-used diffusion methods characterize MS lesions, which can assist in identifying the most effective imaging techniques for more accurate diagnoses in MS clinical practice.
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