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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