Multiple sclerosis (MS) is the most common immune-mediated disease of the central nervous system. Early identification of MS lesions and its mimics is very important to help alleviate the tension between the benefits of early diagnosis of MS and inaccurate diagnosis that can have serious health and economic consequences.The radiomics feature model based on T2-weighted images (T2WIs) has obvious clinical value and high specificity in differentiating patients with multiple sclerosis and ischemic demyelination. The high specificity of radiomic model could improve the accuracy of the 2017 McDonald diagnostic criteria for MS, by differentiating it from its mimics-- ischemic demyelination.
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