Prediction of prostate cancer aggressiveness using magnetic resonance imaging radiomics: a dual-center study.
Nini PanLiuyan ShiDiliang HeJianxin ZhaoLianqiu XiongLili MaJing LiKai AiLianping ZhaoGang HuangPublished in: Discover. Oncology (2024)
MRI radiomics models are suitable for predicting GS and positive needles of systematic biopsy in PCa. The models can be used to identify aggressive PCa using a noninvasive, repeatable, and accurate diagnostic method.