Multicenter Automated Central Vein Sign Detection Performs as Well as Manual Assessment for the Diagnosis of Multiple Sclerosis.

ABSTRACT:

Background and purpose

The central vein sign (CVS) is a proposed diagnostic imaging biomarker for multiple sclerosis (MS). The proportion of white matter lesions exhibiting the CVS (CVS+) is higher in patients with MS compared with its radiologic mimics. Evaluation for CVS+ lesions in prior studies has been performed by manual rating, an approach that is time-consuming and has variable interrater reliability. Accurate automated methods would facilitate efficient assessment for CVS. The objective of this study was to compare the performance of an automated CVS detection method with manual rating for the diagnosis of MS.

Materials and methods

3T MRI was acquired in 86 participants undergoing evaluation for MS in a 9-site multicenter study. Participants presented with either ty

SUBMITTER: Manning AR 

PROVIDER: S-EPMC11979820 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature