Open AccessThe 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
Author(s) -
Yudong Cao,
Min Cao,
Yuke Chen,
Wei Yu,
Yu Fan,
Qing Liu,
Ge Gao,
Zheng Zhao,
Xiaoying Wang,
Jie Jin
Publication year - 2017
Publication title -
oncotarget
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.373
H-Index - 127
ISSN - 1949-2553
DOI - 10.18632/oncotarget.17182
Subject(s) - medicine , nomogram , prostate cancer , prostate , multivariate analysis , magnetic resonance imaging , prostatectomy , rectal examination , univariate analysis , univariate , multivariate statistics , biopsy , prostate specific antigen , radiology , urology , nuclear medicine , cancer , oncology , mathematics , statistics
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, Gleason Score ≥ 7).