Assessing abnormal iron content in the deep gray matter of patients with multiple sclerosis versus healthy controls

C A Habib1, M Liu, N Bawany

  • 1Department of Biomedical Engineering, Wayne State University, Detroit, Michigan 48201, USA.

Abstract

Insights

Patients with multiple sclerosis (MS) show abnormal iron deposition in deep brain structures. Susceptibility-weighted imaging (SWI) quantified iron content, revealing significant differences between MS patients and healthy individuals.

Area of Science:

  • Neuroimaging
  • Neurodegeneration
  • Biomarkers

Background:

  • Multiple sclerosis (MS) is associated with abnormal iron deposition in brain regions like the basal ganglia and thalamus (THA).
  • Quantifying iron content may serve as a diagnostic or prognostic indicator in MS.

Purpose of the Study:

  • To quantify iron content in deep gray matter structures of patients with MS using susceptibility-weighted imaging (SWI).
  • To compare iron deposition patterns between MS patients and healthy volunteers.

Main Methods:

  • SWI was used to assess iron content in the basal ganglia and THA of 52 MS patients and 122 healthy controls.
  • Iron content was evaluated by analyzing average phase, percentage area, and total phase within high-iron-content regions.
  • An iron-weighting factor was calculated based on iron content and its deviation from the normal range.

Main Results:

  • A significant difference in iron-weighting factors was observed between MS patients and healthy subjects (65% vs. 13% with factors >3 SDs from the mean, P < .05).
  • In patients younger than 40, 67% with relapsing-remitting MS (RRMS) exhibited abnormally high iron content compared to 1% of healthy controls.
  • These findings highlight SWI's sensitivity in detecting iron deposition abnormalities in MS.

Conclusions:

  • Iron-weighting factors measured by SWI are abnormal in approximately two-thirds of MS patients.
  • Abnormal iron deposition is prevalent in the basal ganglia, THA, and midbrain of individuals with MS.

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