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Abstract #3593

Comparative Evaluation of Microstructural Diffusion Methods in Characterizing Multiple Sclerosis Lesions

Chaoyang Jin1, Ahmad A Toubasi2, Caroline Gheen2, Taegan Vinersky2, Xiaoyu Jiang1, Francesca Bagnato2,3, and Junzhong Xu1
1Vanderbilt University Institute of Imaging Science, Nashville, TN, United States, 2Department of Neurology Vanderbilt University Medical Center, Nashville, TN, United States, 3Department of Neurology, VA HealthCare System, Nashville, TN, United States

Synopsis

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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