Abstract #3686

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

Synopsis

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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