Progressive iron accumulation across multiple sclerosis phenotypes revealed by sparse classification of deep gray matter

J Magn Reson Imaging. 2017 Nov;46(5):1464-1473. doi: 10.1002/jmri.25682. Epub 2017 Mar 16.

Abstract

Purpose: To create an automated framework for localized analysis of deep gray matter (DGM) iron accumulation and demyelination using sparse classification by combining quantitative susceptibility (QS) and transverse relaxation rate (R2*) maps, for evaluation of DGM in multiple sclerosis (MS) phenotypes relative to healthy controls.

Materials and methods: R2*/QS maps were computed using a 4.7T 10-echo gradient echo acquisition from 16 clinically isolated syndrome (CIS), 41 relapsing-remitting (RR), 40 secondary-progressive (SP), 13 primary-progressive (PP) MS patients, and 75 controls. Sparse classification for R2*/QS maps of segmented caudate nucleus (CN), putamen (PU), thalamus (TH), and globus pallidus (GP) structures produced localized maps of iron/myelin in MS patients relative to controls. Paired t-tests, with age as a covariate, were used to test for statistical significance (P ≤ 0.05).

Results: In addition to DGM structures found significantly different in patients compared to controls using whole region analysis, singular sparse analysis found significant results in RRMS PU R2* (P = 0.03), TH R2* (P = 0.04), CN QS (P = 0.04); in SPMS CN R2* (P = 0.04), GP R2* (P = 0.05); and in PPMS CN R2* (P = 0.04), TH QS (P = 0.04). All sparse regions were found to conform to an iron accumulation pattern of changes in R2*/QS, while none conformed to demyelination. Intersection of sparse R2*/QS regions also resulted in RRMS CN R2* becoming significant, while RRMS R2* TH and PPMS QS TH becoming insignificant. Common iron-associated volumes in MS patients and their effect size progressively increased with advanced phenotypes.

Conclusion: A localized technique for identifying sparse regions indicative of iron or myelin in the DGM was developed. Progressive iron accumulation with advanced MS phenotypes was demonstrated, as indicated by iron-associated sparsity and effect size.

Level of evidence: 1 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2017;46:1464-1473.

Keywords: R2*; brain iron; deep gray matter; multiple sclerosis; quantitative susceptibility mapping; sparse classification.

MeSH terms

  • Adult
  • Brain / diagnostic imaging
  • Brain Mapping
  • Case-Control Studies
  • Electronic Data Processing
  • Female
  • Gray Matter / diagnostic imaging*
  • Gray Matter / physiopathology*
  • Humans
  • Image Interpretation, Computer-Assisted
  • Image Processing, Computer-Assisted
  • Iron / chemistry*
  • Magnetic Resonance Imaging
  • Male
  • Middle Aged
  • Multiple Sclerosis / diagnostic imaging*
  • Multiple Sclerosis / physiopathology*
  • Phenotype

Substances

  • Iron

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