Predicting clinical progression in patients with relapsing remitting multiple sclerosis retrospectively using a

Lis J M van den Boogaard1, Simone Monachino2, Gerhard S Drenthen3

  • 1Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, the Netherlands; Mental Health and Neuroscience Research Institute, Maastricht University, Maastricht, the Netherlands; Academic MS Center Zuyd, Department of Neurology, Zuyderland Medical Center, Sittard-Geleen, the Netherlands.

Abstract

Insights

Short-term myelin changes in normal-appearing white matter (NAWM) can predict long-term clinical progression in relapsing-remitting multiple sclerosis (RRMS) patients. This MRI-based assessment offers a novel approach to understanding disease advancement.

Area of Science:

  • Neuroimmunology
  • Radiology
  • Clinical Neurology

Background:

  • Progression independent of relapse- and MRI-activity (PIRMA) in relapsing-remitting multiple sclerosis (RRMS) may stem from subtle myelin pathology in normal-appearing white matter (NAWM) and perilesions.
  • Understanding these early myelin changes is crucial for predicting long-term disease course.

Purpose of the Study:

  • To evaluate if short-term myelin changes, assessed via the MRI T1w/FLAIR ratio, correlate with long-term clinical progression in RRMS patients treated with natalizumab.
  • Investigate the predictive value of myelin changes in different white matter regions.

Main Methods:

  • Analyzed six-month myelin changes using the T1w/FLAIR ratio in 29 RRMS patients across white matter hyperintensities (WMH), perilesional areas, and NAWM.
  • Assessed long-term clinical progression using Expanded Disability Status Scale (EDSS) scores at baseline and after a minimum of three years.

Main Results:

  • Short-term myelin changes in NAWM significantly predicted long-term clinical progression (β = -77.962; p = .039).
  • Myelin changes in perilesional tissue and WMH did not show significant associations with long-term progression.
  • The logistic regression model for NAWM demonstrated good discriminative value (AUC = 0.892) for predicting clinical progression.

Conclusions:

  • Assessing short-term myelin changes in NAWM using standard MRI scans can predict long-term clinical progression in RRMS patients.
  • This MRI-based method may offer a non-invasive tool for monitoring disease trajectory and guiding treatment decisions.