MRI predictors for the conversion from contrast-enhancing to iron rim multiple sclerosis lesions.

J Neurol

Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.

Published: August 2022

AI Article Synopsis

  • In multiple sclerosis (MS), doctors look for special brain marks called iron rim lesions (IRLs) to see if the brain is getting damaged.
  • This study aimed to find out how to predict when these marks show up by using MRI scans.
  • The researchers discovered that if a brain mark was big and looked like a ring on certain MRI images, it was more likely to turn into an iron rim lesion, which could help doctors treat MS better and earlier.

Article Abstract

Background: In multiple sclerosis (MS), iron rim lesions (IRLs) are characterized by progressive tissue matrix damage. Therefore, early identification could represent an interesting target for therapeutic intervention to minimize evolving tissue damage. The aim of this study was to identify magnetic resonance imaging (MRI) parameters predicting the conversion from contrast-enhancing to IRLs.

Methods: We retrospective identified MS patients scanned on the same 3 T MRI system presenting at least one supratentorial contrast-enhancing lesion (CEL) and a second MRI including susceptibility-weighted images after at least 3 months. On baseline MRI, pattern of contrast-enhancement was categorized as "nodular" or "ring-like", apparent diffusion coefficient (ADC) maps were assessed for the presence of a peripheral hypointense rim. Lesion localization, quantitative volumes (ADC, lesion volume) and the presence of a central vein were assessed.

Results: Eighty-nine acute contrast-enhancing lesions in 54 MS patients were included. On follow-up, 16/89 (18%) initially CELs converted into IRLs. CELs that converted into IRLs were larger and demonstrated significantly more often a ring-like contrast-enhancement pattern and a peripheral hypointense rim on ADC maps. Logistic regression model including the covariables pattern of contrast-enhancement and presence of a hypointense rim on ADC maps showed the best predictive performance (area under the curve = 0.932).

Discussion: The combination of a ring-like contrast-enhancement pattern and a peripheral hypointense rim on ADC maps has the ability to predict the evolution from acute to IRLs. This could be of prognostic value and become a target for early therapeutic intervention to minimize the associated tissue damage.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9293822PMC
http://dx.doi.org/10.1007/s00415-022-11082-2DOI Listing

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