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Abstract #1845

The apical surgical margin status prediction of prostate cancer based on radiomics analysis derived from T2-weighted imaging: Clinical implementation

Shuai Ma1, Huihui Xie1, Huihui Wang1, Ge Gao1, Zhiyong Lin1, Xiaodong Zhang1, and Xiaoying Wang1

1Peking University First Hospital, Beijing, China

This retrospective study aims to validate a computer-aided diagnosis (CAD) system based on radiomics analysis in predicting the apical surgical margin (SM) status before radical prostatectomy (RP). 81 patients who received preoperative prostate T2-weighted MR imaging were evaluated by the CAD system and experienced radiologists, according to the sign of extracapsular extension (ESE), using pathological findings as a reference standard. The resulting algorithm was then validated from another external dataset of 38 patients in the same way. The results demonstrated this CAD system performed well and might help radiologist and surgeons make appropriate decisions concerning RP surgical approaches.

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