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Abstract #0991

Semi-automated Biparametric MRI Peritumoral Radiomics for Predicting the Risk of Positive Surgical Margin in Patients with Prostate Cancer

Honghao Xu1, Qichong Du2, Lizhi Xie3, Baichuan Liu1, Xu Bai1, Huiyi Ye1, and Haiyi Wang1
1Radiology, 1st Medical Center of Chinese PLA General Hospital, Beijing, China, 2Chinese PAP hospital of Beijing, Beijing, China, 3GE Healthcare, Beijing, China

Synopsis

Keywords: Diagnosis/Prediction, Prostate, Radiomics

Motivation: The occurrence of positive surgical margins (PSM) after robotic-assisted laparoscopic prostatectomy is linked to a higher risk of adverse prognosis in patients with prostate cancer (PCa).

Goal(s): To investigate the value of biparametric-MRI (bpMRI) based peritumoral radiomics for preoperative prediction of the risk of PSM in patientes with PCa.

Approach: Statistical methods include the Mann-Whitney U test, multivariable logistic regression analysis, receiver operating characteristic curves and the DeLong test.

Results: The corresponding PTRT2+ADC integrated models performed significantly higher AUC value than the clinical model (AUC: 0.79 vs. 0.64) and PTRT2+ADC radiomics (AUC: 0.79 vs. 0.72).

Impact: A semi-automated bpMRI-based peritumoral radiomics can efficiently predict the risk of PSM.

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