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Abstract #0668

A computer aided diagnosis (CAD) scoring tool: prostate cancer risk evaluation with PI-RADS v2 Guidelines

Lian Ding1, Ge Gao2, Yajing Zhang3, Chengyan Wang1, Jue Zhang1,4, Xiaoying Wang1,2, and Jing Fang1,4

1Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, People's Republic of China, 2Department of Radiology, Peking University Frist Hospital, Beijing, People's Republic of China, 3Philips Healthcare, Suzhou, China, Beijing, People's Republic of China, 4College of Engineering, Peking University, Beijing, People's Republic of China

The second version of the Prostate Imaging Reporting and Data System (PIRADSv2) indicates the likelihood of a clinically significant cancer with a simplified 5-point scale. To assist radiologists in making diagnostic decisions consistent with the PIRADSv2, we proposed a machine learning-based computer aided diagnosis (CAD) scoring tool of prostate cancer risk evaluation by combining apparent diffusion coefficient (ADC) and T2-weighted MRI-based features. The tool could provide a malignancy prediction color map of 5 scores. The statistical results of the total score test for 130 patients between radiologist graded and the CAD tool showed high accuracy and AUC.

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