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Abstract #1684

A radiomics method to identify non-neuropsychiatric systemic lupus erythematosus with grey matter volume

Xiangliang Tan1, Kan Deng2, Yingjie Mei2, Tianjing Zhang2, Yang Song3, Qiaoli Yao1, and Yikai Xu1
1Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China, 2Philips Healthcare, Guangzhou, China, 3Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China

The present study tried to use radiomics models to find the neuroanatomical biomarkers that can improve diagnosis in distinguishing non-neuropsychiatric Systemic Lupus Erythematosus (non-NPSLE) patients from controls. The results demonstrate that the grey matter volume parameter is an effective classification feature for the radiomics models to identify non-NPSLE patients from HC subjects. This classification performance may suggest that the proposed method is a promising approach for improving the clinical diagnosis of systemic lupus erythematosus.

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