Assessment of Racial/Ethnic Disparities in Volumetric MRI Correlates of Clinical Disability in Multiple Sclerosis: A Preliminary Study

J Neuroimaging. 2021 Jan;31(1):115-123. doi: 10.1111/jon.12788. Epub 2020 Sep 19.

Abstract

Background and purpose: Although global and regional brain volume has been established as a relevant measure to define and predict multiple sclerosis (MS) severity, characterization of specific trends by race/ethnicity is currently lacking. We aim to (1) characterize racial disparities in disability-specific patterns of brain MRI volumetric measures between Hispanic and Caucasian individuals with MS and (2) explore the relevance of these measures as predictors of clinical disability progression.

Methods: Brain MRI scans from 94 Hispanic and 94 age- and gender-matched Caucasian MS patients were analyzed using automatic and manual segmentation techniques. Select global and regional volume measures were correlated to Expanded Disability Status Scale (EDSS) scores at baseline and subsequent follow-up visits.

Results: Hispanic patients had a higher baseline median EDSS score (interquartile range [IQR], 2.0; [1.0-3.5]) compared to Caucasians (median [IQR], 1.0 [.0-2.0]) and an increased risk of requiring ambulatory assistance (hazard ratio [HR], 9.7; 95% confidence interval [CI], 2.8-32.5). Normalized thalamic volume was moderately associated with EDSS scores (rs = -.42, P < .001 in Hispanics; rs = -.32, P = .002 in Caucasians) and was the best predictor of sustained disability worsening in both racial groups in a time-to-event analysis.

Conclusions: The confounding impact of race on quantitative brain volume measures may affect the interpretation of outcome measures in MS clinical trials.

Keywords: EDSS; Hispanic; MRI; multiple sclerosis; volumetry.

MeSH terms

  • Adult
  • Disabled Persons / statistics & numerical data*
  • Disease Progression*
  • Ethnicity / statistics & numerical data*
  • Humans
  • Magnetic Resonance Imaging*
  • Male
  • Middle Aged
  • Multiple Sclerosis / diagnostic imaging*
  • Multiple Sclerosis / ethnology*
  • Neuroimaging
  • Racial Groups / statistics & numerical data*