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Abstract #2271

Radiomics Features Extracted from MRI as Biomarkers for Neuromyelitis Optica Spectrum Disorder and Multiple Sclerosis Differentiation

Xiaoxiao Ma1, Mengjie Fang2, Jun Yang3, Jinhao Lyu1, Xin Li3, Deihui Huang4, Di Dong2, Lin Ma1, and Xin Lou1

1Department of Radiology, Chinese PLA General Hospital, Beijing, People's Republic of China, 2Chinese Academy of Sciences, Beijing, People's Republic of China, 3GE healthcare, Shanghai, People's Republic of China, 4Department of Neurology, Chinese PLA General Hospital, Beijing, People's Republic of China

The aim of our study was to ultilize combined radiomcis features extracted from T2-weighted MRI images as quantitative imaging biomarkers to differentiate neuromyelitis optica spectrum disorder (NMOSD) and multiple sclerosis (MS). Twenty-nine NMOSD patients and forty-five MS patients were enrolled. Our study showed 61 radiomics features and 8-feature-based radiomics signature were significantly different between NMOSD and MS. Therefore, radiomics may be an newly useful method which provides a promising non-invasive way of differentiating NMOSD and MS.

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