Microstructural characterization of multiple sclerosis lesion phenotypes using multiparametric longitudinal analysis.

ABSTRACT:

Background and objectives

In multiple sclerosis (MS), slowly expanding lesions were shown to be associated with worse disability and prognosis. Their timely detection from cross-sectional data at early disease stages could be clinically relevant to inform treatment planning. Here, we propose to use multiparametric, quantitative MRI to allow a better cross-sectional characterization of lesions with different longitudinal phenotypes.

Methods

We analysed T1 and T2 relaxometry maps from a longitudinal cohort of MS patients. Lesions were classified as enlarging, shrinking, new or stable based on their longitudinal volumetric change using a newly developed automated technique. Voxelwise deviations were computed as z-scores by comparing individual patient data to T1, T2 and T2/T1 n

SUBMITTER: Ravano V 

PROVIDER: S-EPMC11377637 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature