This article has been cited by
1Comparative Analysis of PSA Density and an MRI-Based Predictive Model to Improve the Selection of Candidates for Prostate Biopsy
Juan Morote,Angel Borque-Fernando,Marina Triquell,Anna Celma,Lucas Regis,Richard Mast,Inés M. de Torres,María E. Semidey,José M. Abascal,Pol Servian,Anna Santamaría,Jacques Planas,Luis M. Esteban,Enrique Trilla
2Multivariable Models Incorporating Multiparametric Magnetic Resonance Imaging Efficiently Predict Results of Prostate Biopsy and Reduce Unnecessary Biopsy
Shuanbao Yu,Guodong Hong,Jin Tao,Yan Shen,Junxiao Liu,Biao Dong,Yafeng Fan,Ziyao Li,Ali Zhu,Xuepei Zhang
Frontiers in Oncology.2020;10(10)2374
3Prostate Imaging Reporting and Data System Version 2 for MRI of Prostate Cancer: Can We Do Better?
Jonathan Sackett,Peter L. Choyke,Baris Turkbey
American Journal of Roentgenology.2019;212(6)1244
4Prostate cancer in PI-RADS scores 1 and 2 version 2.1: a comparison to previous PI-RADS versions
Katja Bogner,Karl Engelhard,Wolfgang Wuest,Sajad Hamel
Abdominal Radiology.2022;47(6)2187
5Multiparametric MRI-Based Radiomics for Prostate Cancer Screening With PSA in 4–10 ng/mL to Reduce Unnecessary Biopsies
Yafei Qi,Shuaitong Zhang,Jingwei Wei,Gumuyang Zhang,Jing Lei,Weigang Yan,Yu Xiao,Shuang Yan,Huadan Xue,Feng Feng,Hao Sun,Jie Tian,Zhengyu Jin
Journal of Magnetic Resonance Imaging.2020;51(6)1890
6Quality of Prostate MRI: Is the PI-RADS Standard Sufficient?
Jonathan Sackett,Joanna H. Shih,Sarah E. Reese,Jeffrey R. Brender,Stephanie A. Harmon,Tristan Barrett,Mehmet Coskun,Manuel Madariaga,Jamie Marko,Yan Mee Law,Evrim B. Turkbey,Sherif Mehralivand,Thomas Sanford,Nathan Lay,Peter A. Pinto,Bradford J. Wood,Peter L. Choyke,Baris Turkbey
Academic Radiology.2021;28(2)199
7Prebiopsy multiparametric MRI and PI-RADS version 2.0 for differentiating histologically benign prostate disease from prostate cancer in biopsies: A retrospective single-center comparison
Mesude Tosun,Hande Uslu
Clinical Imaging.2021;78(2)98
8Improving the detection rate of prostate cancer in the gray zone of PI-RADS v2 and serum tPSA by using prostate-specific antigen–age volume
Yuan-Fei Lu,Qian Zhang,Hai-Yan Chen,Jie-Yu Chen,Yao Pan,Cong-Cong Xu,Jian-Xia Xu,Ri-Sheng Yu
9Using clinical parameters to predict prostate cancer and reduce the unnecessary biopsy among patients with PSA in the gray zone
Junxiao Liu,Biao Dong,Wugong Qu,Jiange Wang,Yue Xu,Shuanbao Yu,Xuepei Zhang
Scientific Reports.2020;10(1)e16289

Subscribe this journal
Submit articles
Most popular articles
Joiu us as a reviewer
Email alerts
Recommend this journal