Printed Abstracts
AB190. Could magnetic resonance imaging help identify the presence of prostate cancer before initial biopsy? The development of nomogram predicting the outcomes of prostate biopsy in the Chinese population
Dong Fang1, Da Ren1, Wei Yu1, Xuesong Li1, Wenshi Yin1, Xiaoteng Yu1, Kunlin Yang1, Pei Liu1, Gangzhi Shan1, Shuqing Li1, Qun He1, Zhongcheng Xin1, Liqun Zhou1, Chenglin Zhao2, Rui Wang2, Xiaoying Wang2, Huihui Wang2
1Department of Urology, Peking University First Hospital, Institute of Urology, Peking University, National Urological Cancer Centre, Beijing 100034, China; 2Department of Radiology, Peking University First Hospital, Beijing 100034, China
Objective: To investigate the effectiveness of magnetic resonance imaging (MRI) in diagnosing prostate cancer (PCa) and high-grade prostate cancer (HGPCa) before transrectal ultrasound (TRUS)-guided biopsy.
Methods: The clinical data of 894 patients who received TRUS-guided biopsy and prior MRI test from a large Chinese center was reviewed. All MRIs were re-reviewed and assigned as Grade 0-2 (negative; suspicious; positive) based on Prostate Imaging Reporting and Data System (PI-RADS) scoring. We constructed two models both in predicting PCa and HGPCa: Model 1 with MRI and Model 2 without MRI. Other clinical factors include age, digital rectal examination, PSA, free-PSA, volume and TRUS.
Results: PCa and HGPCa were present in 434 (48.5%) and 218 (24.4%) patients each. An MRI Grade 0, 1 and 2 were assigned in 324 (36.2%), 193 (21.6%) and 377 (42.2%) patients, respectively, which was associated with the presence of PCa (P<0.001) and HGPCa (P<0.001). Particularly in patients with age ≤0.001). Particularly in patients with age and 218 (24.4%) patients each. An MRI Grade 0, 1 and 2 were assc-statistic of Model 1 and Model 2 for predicting PCa was 0.875 and 0.841 each (Z=4.2302, P<0.001), while for predicting HGPCa was 0.872 and 0.850 (Z=3.265, P=0.001). Model 1 exhibited higher sensitivity and specificity at same cut-offs and decision curve analysis also suggested the favorable clinical utility of Model 1.
Conclusions: Prostate MRI before biopsy could well predict the presence of PCa and HGPCa, especially in younger patients. The incorporation of MRI in nomograms could increase predictive accuracy.
Keywords: Magnetic resonance imaging (MRI); prostate cancer; prostate biopsy
doi: 10.21037/tau.2016.s190
Cite this abstract as: Fang D, Ren D, Yu W, Li X, Yin W, Yu X, Yang K, Liu P, Shan G, Li S, He Q, Xin Z, Zhou L, Zhao C, Wang R, Wang X, Wang H. Could magnetic resonance imaging help identify the presence of prostate cancer before initial biopsy? The development of nomogram predicting the outcomes of prostate biopsy in the Chinese population. Transl Androl Urol 2016;5(Suppl 1):AB190. doi: 10.21037/tau.2016.s190
