Single-timepoint low-dimensional characterization and classification of acute versus chronic multiple sclerosis lesions using machine learning

Bastien Caba,Alexandre Cafaro,Aurélien Lombard,Douglas L Arnold,Colm Elliott,Dawei Liu,Xiaotong Jiang,Arie Gafson,Elizabeth Fisher,Shibeshih Mitiku Belachew,Nikos Paragios

NeuroImage（2023）

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摘要

•Machine learning model classifies acute vs chronic multiple sclerosis (MS) lesions.•Used single timepoint non-contrast conventional T1- and T2-weighted MRI only.•Identified 16 textural radiomic features discriminative of MS lesion subtype.•Achieved 74% balanced accuracy with 71–76% sensitivity and 73–78% specificity.

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关键词

Multiple sclerosis,Acute lesions,Radiomics,Image inpainting,Feature selection,Machine learning

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