Clinico-radiological characteristic-based machine learning in reducing unnecessary prostate biopsies of PI-RADS 3 lesions with dual validation.
Yansheng KanQing ZhangJiange HaoWei WangJunlong ZhuangJie GaoHaifeng HuangJing LiangGiancarlo MarraGiorgio CallerisMarco OderdaXiaozhi ZhaoPaolo GonteroHong-Qian GuoPublished in: European radiology (2020)
• Machine learning-based classifiers could combine the clinical characteristics with accessible information on image report of PI-RADS 3 patient to generate a probability of malignancy. • This probability could assist surgeons to make diagnostic decisions with more confidence and higher efficiency.