Measuring longitudinal myelin water fraction in new multiple sclerosis lesions

Wendy S Vargas1, Elizabeth Monohan1, Sneha Pandya2

  • 1Department of Neurology, Weill Cornell Medical College, New York, NY, USA.

Neuroimage. Clinical
|November 24, 2015
PubMed
Abstract

Insights

Myelin repair in multiple sclerosis (MS) lesions is influenced by initial inflammation. Higher baseline myelin water fraction (MWF) and gadolinium enhancement in new MS lesions predict better myelin recovery.

Area of Science:

  • Neuroimaging
  • Neuroinflammation
  • Demyelinating Diseases

Background:

  • Multiple Sclerosis (MS) is a chronic demyelinating disease of the central nervous system.
  • Understanding myelin dynamics in MS lesions is crucial for developing effective myelin repair strategies.
  • Myelin Water Fraction (MWF) is a sensitive MRI biomarker reflecting myelin content.

Purpose of the Study:

  • To longitudinally measure MWF in new MS lesions using MRI.
  • To identify factors influencing myelin content and recovery in evolving MS lesions.
  • To assess the clinical feasibility of FAST-T2 for MWF quantification in MS.

Main Methods:

  • Twenty-three MS patients underwent whole-brain MWF mapping with FAST-T2 at baseline and 6-month follow-up.
  • Eleven healthy controls (HC) validated the reproducibility of the FAST-T2 technique.
  • A random-effect model analyzed associations between baseline variables and subsequent MWF.

Main Results:

  • FAST-T2 demonstrated high reproducibility in HC white matter.
  • Significant MWF improvement was observed in gadolinium-enhancing (Gd+) lesions compared to non-enhancing (Gd-) lesions.
  • Higher baseline MWF and the presence of Gd enhancement were associated with greater subsequent MWF.

Conclusions:

  • FAST-T2 is a clinically feasible method for quantifying MWF in new MS lesions.
  • Initial lesion characteristics, including baseline MWF and inflammation (Gd enhancement), significantly impact myelin recovery.
  • These findings highlight the importance of early lesion activity in predicting myelin repair outcomes in MS.

Related Concept Videos