Literature DB >> 28301067

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

Ahmed M Elkady1, Dana Cobzas1, Hongfu Sun1, Gregg Blevins2, Alan H Wilman1.   

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.
© 2017 International Society for Magnetic Resonance in Medicine.

Entities:  

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

Mesh:

Substances:

Year:  2017        PMID: 28301067     DOI: 10.1002/jmri.25682

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  10 in total

1.  Mapping of thalamic magnetic susceptibility in multiple sclerosis indicates decreasing iron with disease duration: A proposed mechanistic relationship between inflammation and oligodendrocyte vitality.

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Journal:  Neuroimage       Date:  2017-10-31       Impact factor: 6.556

2.  Assessment of mesoscopic properties of deep gray matter iron through a model-based simultaneous analysis of magnetic susceptibility and R2* - A pilot study in patients with multiple sclerosis and normal controls.

Authors:  Yanis Taege; Jesper Hagemeier; Niels Bergsland; Michael G Dwyer; Bianca Weinstock-Guttman; Robert Zivadinov; Ferdinand Schweser
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10.  Voxel-Based quantitative MRI reveals spatial patterns of grey matter alteration in multiple sclerosis.

Authors:  Emilie Lommers; Camille Guillemin; Gilles Reuter; Eve Fouarge; Gaël Delrue; Fabienne Collette; Christian Degueldre; Evelyne Balteau; Pierre Maquet; Christophe Phillips
Journal:  Hum Brain Mapp       Date:  2020-11-06       Impact factor: 5.399

  10 in total

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