MRI biomarkers of disease progression and conversion to secondary-progressive multiple sclerosis

Eleonora Tavazzi, Robert Zivadinov, Michael G. Dwyer, Dejan Jakimovski, Tarun Singhal, Bianca Weinstock-Guttman, Niels Bergsland

Research output: Contribution to journalReview article

Abstract

Introduction: Conventional imaging measures remain a key clinical tool for the diagnosis multiple sclerosis (MS) and monitoring of patients. However, most measures used in the clinic show unsatisfactory performance in predicting disease progression and conversion to secondary progressive MS. Areas covered: Sophisticated imaging techniques have facilitated the identification of imaging biomarkers associated with disease progression, such as global and regional brain volume measures, and with conversion to secondary progressive MS, such as leptomeningeal contrast enhancement and chronic inflammation. The relevance of emerging imaging approaches partially overcoming intrinsic limitations of traditional techniques is also discussed. Expert opinion: Imaging biomarkers capable of detecting tissue damage early on in the disease, with the potential to be applied in multicenter trials and at an individual level in clinical settings, are strongly needed. Several measures have been proposed, which exploit advanced imaging acquisitions and/or incorporate sophisticated post-processing, can quantify irreversible tissue damage. The progressively wider use of high-strength field MRI and the development of more advanced imaging techniques will help capture the missing pieces of the MS puzzle. The ability to more reliably identify those at risk for disability progression will allow for earlier intervention with the aim to favorably alter the disease course.

Original languageEnglish
JournalExpert Review of Neurotherapeutics
DOIs
Publication statusAccepted/In press - Jan 1 2020

Keywords

  • Biomarkers
  • disability
  • disease progression
  • imaging
  • MRI
  • multiple sclerosis
  • secondary progressive MS

ASJC Scopus subject areas

  • Neuroscience(all)
  • Clinical Neurology
  • Pharmacology (medical)

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