Radiomics Analysis of the Prostate Cancer Habitats in Diagnosing Extracapsular Extension on Multi-Parametric MRI
Yihong Zhang1, Ying Hou2, Jie Bao3, Yang Song4, Dongmei Wu1, Yu-dong Zhang2, Xu Yan4, and Guang Yang1
1Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China, 2Department of Radiology, the First Affiliated Hospital with Nanjing Medical University, Nanjing, China, 3Department of Radiology, the First Affiliated Hospital with Soochow University, Soochow, China, 4MR Scientific Marketing, Siemens Healthineers Ltd, Shanghai, China
We extracted radiomics features from subregions of the area where the lesion was close to the capsular boundary to diagnose the extracapsular extension (ECE). The model was trained with 574 cases, using 5-fold cross-validation and evaluated with an independent internal test cohort of 144 cases and an external test cohort of 146 cases. The model built with subregion features achieved AUC (area under receiver operating characteristic curve) values of 0.792 and 0.713 on the internal and external test cohort, respectively, outperforming the model built with whole lesion features whose internal and external test AUCs are 0.724 and 0.581, respectively.
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