The combination of prostate imaging reporting and data system version 2 (PI-RADS v2) and periprostatic fat thickness on multi-parametric MRI to predict the presence of prostate cancer - Cao, Yudong; Cao, Min; Chen, Yuke; Yu, Wei; Fan, Yu; Liu, Qing; Gao, Ge; Zhao, Zheng; Wang, Xiaoying; Jin, Jie (Oncotarget, 2017)
Keywords: Aged; Biopsy; Decision Support Techniques; Humans; Image Interpretation, Computer-Assisted; Image Processing, Computer-Assisted; Magnetic Resonance Imaging - methods; Male; Middle Aged; Neoplasm Grading; Nomograms; Prognosis; Prostatic Neoplasms - diagnostic imaging; Prostatic Neoplasms - pathology; Research Paper; Risk Factors; diagnosis; prostate cancer; nomogram; PI-RADS; periprostatic fat