Prostate cancer: PI-RADS version 2 helps preoperatively predict clinically significant cancers

Sung Yoon Park, Dae Chul Jung, Young Taik Oh, Nam Hoon Cho, Young Deuk Choi, Koon Ho Rha, Sung Joon Hong, Kyunghwa Han

Research output: Contribution to journalArticlepeer-review

121 Citations (Scopus)


Purpose: To retrospectively analyze whether Prostate Imaging Reporting and Data System (PI-RADS) version 2 is helpful for the detection of clinically significant prostate cancer. Materials and Methods: Institutional review board approved this retrospective study. A total of 425 patients with prostate cancer who had undergone magnetic resonance (MR) imaging and radical prostatectomy were included. Preoperative parameters such as prostate-specific antigen, biopsy Gleason score, greatest percentage of the core, percentage of the positive core number, and score at PI-RADS version 2 with MR imaging were investigated. Two independent readers performed PI-RADS scoring. Clinically significant prostate cancer was defined as follows: (a) Gleason score of 7 or greater, (b) tumor volume of 0.5 cm3 or greater, or a (c) positive extracapsular extension or seminal vesicle invasion. The reference standard was based on review of surgical specimen. Logistic regression was conducted to determine which parameters are associated with the presence of clinically significant cancer. Interreader agreement (ie, score ?4 or not) was investigated by using k statistics. Results: At univariate analysis, all of the preoperative parameters were significant for clinically significant prostate cancer (P , .05). However, multivariate analysis revealed that PIRADS score was the only significant parameter for both readers (reader 1: odds ratio = 28.170, P = .002; reader 2: odds ratio = 5.474, P = .007). The interreader agreement was excellent for PI-RADS score of 4 or greater (weighted k = 0.801; 95% confidence interval: 0.737, 0.865). Conclusion: The use of PI-RADS version 2 may help preoperatively diagnose clinically significant prostate cancer.

Original languageEnglish
Pages (from-to)108-116
Number of pages9
Issue number1
Publication statusPublished - 2016 Jul

Bibliographical note

Publisher Copyright:
© RSNA, 2016.

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging


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