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

• Published in: Oncotarget Vol. 8; no. 27; pp. 44040 - 44049
• Main Authors: Cao, Yudong, Cao, Min, Chen, Yuke, Yu, Wei, Fan, Yu, Liu, Qing, Gao, Ge, Zhao, Zheng, Wang, Xiaoying, Jin, Jie
• Format: Journal Article
• Language: English
• Published: United States Impact Journals LLC 04.07.2017
• Subjects: 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

To evaluate the auxiliary effectiveness of periprostatic fat thickness (PPFT) on multi-parametric magnetic resonance imaging (mp-MRI) to Prostate Imaging Reporting and Data System version 2 (PI-RADS v2) in predicting the presence of prostate cancer (PCa) and high-grade prostate cancer (HGPCa, Gleaso...