Moderated Poster

Poster, Podium & Video Sessions

MP18-04: Role of PI-RADS version 2 for Prediction of Upgrading after Radical Prostatectomy in Patients with Prostate Biopsy Gleason Score 6

Friday, May 12
3:30 PM - 5:30 PM
Location: BCEC: Room 153

Presentation Authors: Song Wan*, Chan Kyo Kim, Young Hyo Choi, Hyun Woo Chung, Chung Un Lee, Jun Phil Na, Hwang Gyun Jeon, Byong Chang Jeong, Seong Il Seo, Seong Soo Jeon, Han Yong Choi, Hyun Moo Lee, Seoul, Korea, Republic of

Introduction: Accurate prediction of Gleason score (GS) after radical prostatectomy (RP) is important to determine treatment plans. However, 20-60% of patients with biopsy GS 6 are upgraded to GS 7 or more postoperatively. In this study, we evaluated whether Prostate Imaging Report and Data System version 2 (PI-RADSv2) has a role to predict upgrading after RP for patients with biopsy GS 6

Methods: We retrospectively reviewed 443 patients who underwent magnetic resonance imaging (MRI) and RP for prostate cancer with biopsy GS 6 between January 2011 and December 2013. Preoperative clinical parameters (prostate specific antigen [PSA], prostate volume, PSA density, number of positive core and maximum percentage of cancer per core), PI-RADS v2 score and pathologic GS were examined. Multivariate logistic regression was used to analyze predictive factors of upgrading after RP. Receiver operating characteristic (ROC) curves were used to analyze the predictive accuracies of multivariate logistic regression models and areas under the curves (AUCs) of ROC curves were compared.

Results: Of 443 patients with biopsy GS 6, GS upgrading was identified in 297 (67.0%) patients (GS7, n=273 and GS8-10, n=24) following RP. PI-RADS v2 score 1-3, and 4-5 were identified in 157 (25.4%) and 286 (64.6%) patients, and upgrading rate after RP were 54.1% and 74.1%, respectively (p < 0.001). On multivariate analysis, PSA density > 0.16 ng/ml2, number of positive core ≥ 2, maximum % cancer/core >20% and PI-RADS v2 score 4-5 were predictive factors of upgrading following RP (all p < 0.05). When predictive accuracies of multivariate models were compared using AUC from ROC curves, model 2 (PI-RADS v2 score 4-5 along with model 1) was found to have significantly higher accuracy then model 1(PSA density > 0.16 ng/ml2, number of positive core ≥ 2 and maximum % cancer/core >20%) (0.729 vs 0.703, p = 0.041)

Conclusions: PSA density > 0.16 ng/ml2 , number of positive core ≥ 2 and maximum percentage of tumor length in a core > 20% are independent predictors of GS upgrading as preoperative variables. PI-RADSv2 4-5 confer an increased risk for GS upgrading that it may be used as a preoperative image tool to establish treatment decision.

Source Of Funding: none

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MP18-04: Role of PI-RADS version 2 for Prediction of Upgrading after Radical Prostatectomy in Patients with Prostate Biopsy Gleason Score 6



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