Comparison of susceptibility weighted imaging with conventional MRI sequences in multiple sclerosis plaque

Masoud Rabbani1, Vahid Shaygannejad2, Mahshid Bahrami1

  • 1Department of Radiology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.

Abstract

Insights

Susceptibility-weighted imaging (SWI) shows similar efficiency to conventional MRI sequences like T2-weighted and FLAIR for assessing multiple sclerosis (MS) plaques. This finding supports SWI as a viable tool for MS plaque evaluation.

Area of Science:

  • Neuroimaging
  • Radiology
  • Neurology

Background:

  • Multiple sclerosis (MS) plaque assessment is crucial for diagnosis and monitoring.
  • Conventional MRI sequences like T2-weighted (T2W) and FLAIR are standard for MS lesion detection.
  • Susceptibility-weighted imaging (SWI) offers potential advantages in visualizing certain tissue characteristics.

Purpose of the Study:

  • To compare the efficacy of SWI with T2W and FLAIR MRI sequences.
  • To evaluate plaque number and volume in multiple sclerosis patients using different imaging modalities.
  • To assess iron deposition and central veins in MS lesions identified by SWI.

Main Methods:

  • A cross-sectional study involving 50 MS patients meeting McDonald criteria.
  • Brain scans acquired using SWI, T2W, and FLAIR imaging sequences.
  • Quantitative analysis of plaque number and volume, with qualitative assessment of SWI lesions.

Main Results:

  • No significant differences were observed in plaque number or volume between SWI, T2W, and FLAIR.
  • High correlations were found between SWI and T2W/FLAIR for plaque count and volume estimation (r=0.97-0.99, P<0.001).
  • SWI demonstrated potential for evaluating iron deposition and central veins within MS lesions.

Conclusions:

  • SWI demonstrates comparable efficiency to conventional MRI sequences (T2W, FLAIR) for MS plaque assessment.
  • SWI is a valuable tool for evaluating MS lesions, potentially offering additional information on iron content.
  • The findings support the integration of SWI into routine MS imaging protocols.