Chenglin Zhao1, Ge Gao2, Dong Fang3, Feiyu Li4, Xuedong Yang5, He Wang6, Qun He7, Xiaoying Wang8. 1. Department of Radiology, Peking University First Hospital, Beijing, China. Electronic address: chenglin.zhao@163.com. 2. Department of Radiology, Peking University First Hospital, Beijing, China. Electronic address: effie_gao@163.com. 3. Department of Urology, Peking University First Hospital, Institute of Urology, Peking University, National Urological Cancer Center, Beijing, China. Electronic address: fdmailbox@126.com. 4. Department of Radiology, Peking University First Hospital, Beijing, China. Electronic address: redwindowlfy@163.com. 5. Department of Radiology, Peking University First Hospital, Beijing, China. Electronic address: yangxuedong1@163.com. 6. Department of Radiology, Peking University First Hospital, Beijing, China. Electronic address: jimmy9527@126.com. 7. Department of Urology, Peking University First Hospital, Institute of Urology, Peking University, National Urological Cancer Center, Beijing, China. Electronic address: bdyyqhe@sina.com. 8. Department of Radiology, Peking University First Hospital, Beijing, China. Electronic address: cjr.wangxiaoying@vip.163.com.
Abstract
OBJECTIVES: To investigate the efficiency of multiparametric MRI (mpMRI) based on Prostate Imaging Reporting and Data System (PI-RADS) Version 2 (v2) in detecting clinically significant prostate cancer (PCa) and to test the interobserver consistency. METHODS: Based on PI-RADS v2, two radiologists reviewed the images of 372 patients who underwent prostate biopsy and prebiopsy mpMRI. RESULTS: There's significant correlation between higher PI-RADS score and the presence of clinical significant PCa (P<.001). PI-RADS score 3 was the best cutoff point with sensitivity and specificity over 80%. The diagnostic concordance was moderate (kappa=0.478). CONCLUSIONS: PI-RADS v2 demonstrated good accuracy in detecting clinically significant PCa, however the interobserver consistency needs to be improved.
OBJECTIVES: To investigate the efficiency of multiparametric MRI (mpMRI) based on Prostate Imaging Reporting and Data System (PI-RADS) Version 2 (v2) in detecting clinically significant prostate cancer (PCa) and to test the interobserver consistency. METHODS: Based on PI-RADS v2, two radiologists reviewed the images of 372 patients who underwent prostate biopsy and prebiopsy mpMRI. RESULTS: There's significant correlation between higher PI-RADS score and the presence of clinical significant PCa (P<.001). PI-RADS score 3 was the best cutoff point with sensitivity and specificity over 80%. The diagnostic concordance was moderate (kappa=0.478). CONCLUSIONS: PI-RADS v2 demonstrated good accuracy in detecting clinically significant PCa, however the interobserver consistency needs to be improved.
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