Validating Automated Segmentation Tools in the Assessment of Caudate Atrophy in Huntington's Disease.

ABSTRACT: Background: Neuroimaging shows considerable promise in generating sensitive and objective outcome measures for therapeutic trials across a range of neurodegenerative conditions. For volumetric measures the current gold standard is manual delineation, which is unfeasible for samples sizes required for large clinical trials. Methods: Using a cohort of early Huntington's disease (HD) patients (n = 46) and controls (n = 35), we compared the performance of four automated segmentation tools (FIRST, FreeSurfer, STEPS, MALP-EM) with manual delineation for generating cross-sectional caudate volume, a region known to be vulnerable in HD. We then examined the effect of each of these baseline regions on the ability to detect change over 15 months using the established longi

SUBMITTER: Mansoor NM 

PROVIDER: S-EPMC8079754 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature