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Conventional and Emerging MRI Biomarkers of Multiple Sclerosis

  • Timothy Reynold Lim
  • , Jerald Garvin Lim
  • , Yusuf Alibrahim
  • , Minth Punpichet
  • , Aditya Bharatha
  • , Erin S. Beck
  • , Martina Absinta
  • , Daniel S. Reich
  • , Jiwon Oh
  • , Suradech Suthiphosuwan

Research output: Contribution to journalArticlepeer-review

Abstract

MRI plays a central role in the diagnosis and management of multiple sclerosis (MS), and the 2017 revised McDonald criteria have improved the sensitivity and accuracy for early diagnosis. While these criteria have been validated and improve patient outcomes, the improper application of these practice standards—es-pecially in cases of atypical presentations—can lead to misdiagnosis. To enhance diagnostic specificity, emerging MRI biomarkers such as the central vein sign and paramagnetic rim lesions are now incorpo-rated into the 2024 revised McDonald criteria. These biomarkers show promise for differentiating MS from mimicking conditions. Additional emerging tech-niques, including artificial intelligence–driven analy-sis, also have the potential to refine diagnostic clinical workflows by capturing subtle imaging features that are beyond human perception. Accurate interpretation of these MRI features is essential to maintaining diagnostic accuracy across clinical settings. This review highlights conventional and emerging MRI bio-markers for MS diagnosis, highlighting the diagnostic and prognostic utilities of and underlying pathophysi-ologic processes behind these imaging findings.

Original languageEnglish
Article numbere250069
JournalRadiographics
Volume46
Issue number3
DOIs
StatePublished - Mar 2026

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