Cleveland Clinic Aims to Improve Multiple Sclerosis Diagnosis By Studying New Central Vein Sign Biomarker

Studying the Central Vein Sign as an MRI biomarker for multiple sclerosis requires precise imaging workflows and consistent data handling. Cleveland Clinic used QMENTA to centralize imaging data and support specialized analysis across research teams.

This case study outlines how tailored workflows, secure data management, and collaborative access enabled reproducible biomarker research while maintaining strong data governance.