Open Access<p>A PI-RADS-Based New Nomogram for Predicting Clinically Significant Prostate Cancer: A Cohort Study</p>
Author(s) -
Yueyue Zhang,
GuiQi Zhu,
Wei Zhao,
Chaogang Wei,
Tong Chen,
Qin Ma,
Yongsheng Zhang,
Boxin Xue,
Jing Shen
Publication year - 2020
Publication title -
cancer management and research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.024
H-Index - 40
ISSN - 1179-1322
DOI - 10.2147/cmar.s250633
Subject(s) - nomogram , medicine , prostate cancer , univariate , receiver operating characteristic , multivariate analysis , cohort , univariate analysis , area under the curve , urology , multivariate statistics , clinical trial , prostate , oncology , cancer , statistics , mathematics
To develop and validate a PI-RADS-based nomogram for predicting the probability of clinically significant prostate cancer (csPCa) at initial prostate biopsy.