Early Magnetic Resonance Imaging Features of New Paramagnetic Rim Lesions in Multiple Sclerosis

Kelly A Clark1,2, Abby R Manning1,2, Luyun Chen1,2

  • 1Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Annals of Neurology
|June 22, 2023
PubMed
Abstract

Insights

Early MRI features can predict the development of paramagnetic rim lesions (PRLs) in multiple sclerosis (MS). Identifying these early indicators aids in understanding disease progression and developing targeted therapies for MS.

Area of Science:

  • Neuroimaging
  • Neurology
  • Radiology

Background:

  • Paramagnetic rim lesions (PRLs) in multiple sclerosis (MS) are associated with progressive tissue injury.
  • Early identification of lesions that develop into PRLs is crucial for understanding MS pathology.

Purpose of the Study:

  • To identify early magnetic resonance imaging (MRI) features that predict the development of paramagnetic rim lesions (PRLs) in new multiple sclerosis (MS) lesions.
  • To investigate the relationship between initial lesion characteristics and subsequent PRL status.

Main Methods:

  • New contrast-enhancing lesions in MS patients were imaged using 7 Tesla (7T) MRI within 4 weeks of observation, and at 3 and 6 months.
  • Lesions were classified as PRL or non-PRL at 6 months.
  • Generalized linear mixed effects models and random forest classification were used to analyze early lesion characteristics and predict PRL status.

Main Results:

  • Of 93 contrast-enhancing lesions, 37 developed into PRLs.
  • Lesions that became PRLs showed significantly higher initial T1 values (1994 ms vs 1670 ms) and larger volumes (168.7 mL vs 44 mL) on 7T MRI compared to non-PRL lesions.
  • These differences in volume and intensity-normalized T1-weighted and fluid-attenuated inversion recovery signals were also significant on 3T scans.
  • Random forest classification achieved an area under the receiver operating characteristic curve of 0.86 for predicting PRL status using initial 7T features.

Conclusions:

  • Early MRI characteristics, particularly higher T1 values and larger volumes, can identify new MS lesions that will evolve into PRLs.
  • These findings suggest that the biological processes leading to PRL development begin early in lesion evolution.
  • Early identification of PRL precursors has significant implications for clinical trials and the development of targeted therapies for MS.

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