Optimal indicator for histogram analysis of fractional anisotropy for normal-appearing white matter in multiple sclerosis

Authors

  • Kimihiro Ogisu Department of Radiology, National Hospital Organization Hokkaido Medical Center, Sapporo
  • Masaaki Niino National Hospital Organization Hokkaido Medical Center
  • Yusei Miyazaki Department of Clinical Research, National Hospital Organization Hokkaido Medical Center, Sapporo, Japan
  • Seiji Kikuchi Department of Neurology, National Hospital Organization Hokkaido Medical Center, Sapporo, Japan

DOI:

https://doi.org/10.54029/2021pnk

Keywords:

Multiple sclerosis, Magnetic resonance imaging, White matter, Expanded disability status scale

Abstract

Background: Normal-appearing white matter (NAWM) lesions are known to be present in multiple sclerosis (MS); however, it is not easy to distinguish these lesions from others in MRI. This study aimed to investigate the most useful value for estimating NAWM damage using fractional anisotropy (FA) histograms analysis.

Methods: Data from patients with relapsing-remitting MS and healthy controls were analyzed using a 1.5T MRI system with SENSE-Head-8 coil. FA maps with diffusion- weighted images were acquired using a single-shot echo-planar imaging sequence. The median, standard deviation (SD), kurtosis, and skewness of white matter (WM) of each subject were compared between MS and healthy controls using an in-house application.

Results: FA decrease in 8 patients with MS was observed upon comparison with 12 controls and leaned toward the left side. While the SDs of the healthy controls were not significantly different from those of patients with MS, patients with MS expressed significantly lower median values, and higher kurtosis and skewness compared to healthy controls. A trend for inverse associations existed between median and expanded disability status scale scores.

Conclusion: Our data suggests that median FA values can allow for distinguishing between patients with MS and healthy controls with high accuracy.

Published

2022-01-01

Issue

Section

Original Article