Lymph node invasion (LNI) is a strong adverse prognostic factor in prostate cancer (PCa). The purpose of this study was to evaluate the role of Prostate Imaging Reporting and Data System version 2 (PI-RADSv2) scores for estimating the risk of LN metastasis. The study also aimed to investigate the additional value of PI-RADSv2 scores when used in combination with clinical nomograms for the prediction of LNI in patients with PCa.
We retrospectively identified 308 patients who underwent multiparametric magnetic resonance imaging (mpMRI) and RP with pelvic lymph node dissection (PLND). Clinicopathological parameters and PI-RADSv2 scores were assessed. Univariate and multivariate logistic analyses were performed. The area under the receiver operating characteristic curves (AUCs) and decision curve analysis (DCA) were generated for assessing the incremental value of PI-RADSv2 scores combined with the Briganti and Memorial Sloan Kettering Cancer Center (MSKCC) nomograms.
Overall, 20 (6.5%) patients had LNI. At univariate analysis, all clinicopathological characteristics and PI-RADSv2 scores were significantly associated to LNI (p < 0.04). However, multivariate analysis revealed that only PI-RADSv2 scores and percentage of positive cores were independently significant (p ≤ 0.006). The PI-RADSv2 score was the most accurate predictor (AUC, 80.2%). The threshold of PI-RADSv2 score was 5, which provided high sensitivity (18/20, 90.0%) and negative predictive value (203/205, 99.0%). When PI-RADSv2 scores were combined with Briganti and MSKCC nomograms, the AUC value increased from 75.1 to 86.3% and from 79.2 to 87.9%, respectively (p ≤ 0.001). The DCA also demonstrated that the two nomograms plus PI-RADSv2 scores improved clinical risk prediction of LNI.
The patients with a PI-RADSv2 score <5 were associated with a very low risk of LNI in PCa. Preoperative PI-RADSv2 scores could help improve the accuracy of clinical nomograms for predicting pelvic LN metastasis at radical prostatectomy.
Prostate cancer and prostatic diseases. 2019 Aug 05 [Epub ahead of print]
Cong Huang, Gang Song, Huihui Wang, Zhiyong Lin, He Wang, Guangjie Ji, Shouyi Zhang, Yuanshan Guo, Jie Li, Zhengqing Bao, Peng Hong, Yicong Du, Peng Li, Qun He, Shiming He, Yanqing Gong, Xiaoying Wang, Liqun Zhou
Department of Urology, Peking University First Hospital, Beijing, 100034, China., Department of Urology, Peking University First Hospital, Beijing, 100034, China. ., Department of Radiology, Peking University First Hospital, Beijing, 10034, China., Department of Urology, Yankuang Group General Hospital, Zoucheng, 273500, Shandong, China., Department of Urology, Shijiazhuang First Hospital, Shijiazhuang, 050011, Hebei, China., Department of Urology, Lishui Central Hospital, The Fifth Affiliated Hospital, Wenzhou Medical University, Lishui, 323000, Zhejiang, China., Department of Ultrasound, Peking University First Hospital, Beijing, 100034, China., Department of Radiology, Peking University First Hospital, Beijing, 10034, China. ., Department of Urology, Peking University First Hospital, Beijing, 100034, China. .