Developing a nomogram based on multiparametric magnetic resonance imaging for forecasting high-grade prostate cancer to reduce unnecessary biopsies within the prostate-specific antigen gray zone
Crossref DOI link: https://doi.org/10.1186/s12880-017-0184-x
Published Online: 2017-02-01
Published Print: 2017-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Niu, Xiang-ke
Li, Jun
Das, Susant Kumar
Xiong, Yan
Yang, Chao-bing
Peng, Tao
Funding for this research was provided by:
Health and Family planing Commission of Chengdu (2015080)
Youth Innovation Research Fund of Sichuan Medicine (Q14004)