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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