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Disease correlates of rim lesions on quantitative susceptibility mapping in multiple sclerosis

Authors :
Ulrike W. Kaunzner
Sandra M. Hurtado Rúa
Joseph P. Comunale
Amy Kuceyeski
Thanh D. Nguyen
Melanie Marcille
Elizabeth M. Sweeney
Charles Tyshkov
Olivia Bruvik
Lily Zexter
Nicole Zinger
Abhishek Jaywant
Nancy N Nealon
Yi Wang
Jai S. Perumal
Susan A. Gauthier
Source :
Scientific reports. 12(1)
Publication Year :
2021

Abstract

Quantitative susceptibility mapping (QSM), an imaging technique sensitive to brain iron, has been used to detect paramagnetic rims of iron-laden active microglia and macrophages in a subset of multiple sclerosis (MS) lesions, known as rim+ lesions, that are consistent with chronic active lesions. Because of the potential impact of rim+ lesions on disease progression and tissue damage, investigating their influence on disability and neurodegeneration is critical to establish the impact of these lesions on the disease course. This study aimed to explore the relationship between chronic active rim+ lesions, identified as having a hyperintense rim on QSM, and both clinical disability and imaging measures of neurodegeneration in patients with MS. The patient cohort was composed of 159 relapsing–remitting multiple sclerosis patients. The Expanded Disability Status Scale (EDSS) and Brief International Cognitive Assessment for Multiple Sclerosis, which includes both the Symbol Digit Modalities Test and California Verbal Learning Test-II, were used to assess clinical disability. Cortical thickness and thalamic volume were evaluated as imaging measures of neurodegeneration. A total of 4469 MS lesions were identified, of which 171 QSM rim+ (3.8%) lesions were identified among 57 patients (35.8%). In a multivariate regression model, as the overall total lesion burden increased, patients with at least one rim+ lesion on QSM performed worse on both physical disability and cognitive assessments, specifically the Symbol Digit Modalities Test (p = 0.010), California Verbal Learning Test-II (p = 0.030), and EDSS (p = 0.001). In a separate univariate regression model, controlling for age (p

Details

ISSN :
20452322
Volume :
12
Issue :
1
Database :
OpenAIRE
Journal :
Scientific reports
Accession number :
edsair.doi.dedup.....a544fb4dc65fcbd2ed224714778cb842