MP11-07 T2-WEIGHTED/DIFFUSION-WEIGHTED MAGNETIC RESONANCE IMAGING AS A NOVEL SCORING MODE FOR THE EARLY DETECTION OF PROSTATE CANCER

Abstract

You have accessJournal of UrologyImaging/Radiology: Uroradiology II1 Apr 2015MP11-07 T2-WEIGHTED/DIFFUSION-WEIGHTED MAGNETIC RESONANCE IMAGING AS A NOVEL SCORING MODE FOR THE EARLY DETECTION OF PROSTATE CANCER Xuan Wang, Ming Liu, Jianye Wang, Min Chen, Ben Wan, Chunmei Li, Gang Wan, Wei Zhang, Yong Zhang, and Yuanyuan Zhang Xuan WangXuan Wang More articles by this author , Ming LiuMing Liu More articles by this author , Jianye WangJianye Wang More articles by this author , Min ChenMin Chen More articles by this author , Ben WanBen Wan More articles by this author , Chunmei LiChunmei Li More articles by this author , Gang WanGang Wan More articles by this author , Wei ZhangWei Zhang More articles by this author , Yong ZhangYong Zhang More articles by this author , and Yuanyuan ZhangYuanyuan Zhang More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2015.02.388AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES To explore the clinical efficacy of Magnetic Resonance Imaging (MRI) in the early diagnosis of prostate cancer for the patients with prostate specific antigen (PSA) level < 20ng/ml, to provide quantitative evaluation of a standardized scoring system based on Prostate Imaging Reporting and Data System (PI-RADS) to correlate the chance of prostate cancer with each scale on the identified lesion at T2 weighted imaging (T2WI) and diffusion weighted imaging (DWI) in combination and to assess the accuracy of the image scoring system of T2WI combined with DWI for the early diagnosis of prostate cancer. METHODS In total, 133 patients with PSA < 20 ng/ml were prospectively recruited. The patients'PSA level ranged from 0.2-19.8 ng/mL (Median 6.9 ng/mL ¡À 4.0). Pelvic MRI was performed before 12-core transrectal prostate biopsy. The prostate peripheral zone of each patient was divided into six regions on MR images in the same fashion of biopsy: right and left at apex, mid and base level, each region corresponds to 2 out of 12 biopsy cores. T2WI and DWI image features on peripheral zone of the prostate were evaluated according to the pre-established image scoring standards. We compared the accuracy of the scoring system of T2WI in diagnosis of prostate cancer with T2WI and DMI in combination. Histopathologic evaluation of prostate biopsies was the reference standard. RESULTS 60 patients (45.1%) were diagnosed with prostate cancer by tissue biopsies. 169 foci of peripheral zone tumor were identified from the total 798 regions (21.2%). Prostate cancer detection rate of score 0∼5 on T2WI image was 2.8%, 13.4%, 20.3%, 34.6%, 52.6% and 88.9% respectively, and the rate was 11.1%, 16.1%, 48.5%, 71.0% and 86.1% respectively on score 1∼5 of T2WI+DWI image grading. With the increase of pre-established T2WI or T2WI+DWI image score, prostate cancer detection rate showed a significant increase by Cochran-Armitage trend test (P< 0.0001, P< 0.0001). The receiver operating characteristic (ROC) analysis found that the ability of T2WI+DWI was greater than that of T2WI alone in detection of prostate cancer (Area under the ROC curve (AUC)=0.743 vs. AUC=0.715, P=0.0072). CONCLUSIONS The signals of the peripheral zone on T2WI+DWI are strongly associated with the diagnosis of prostate cancer. Clinic efficiency and accuracy of T2WI plus DWI was superior to that of T2WI alone in the early detection of prostate cancer. The proposed scoring system of T2WI+DMI can predict the risk of prostate cancer for patients with PSA < 20 ng/ml. © 2015 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 193Issue 4SApril 2015Page: e121 Advertisement Copyright & Permissions© 2015 by American Urological Association Education and Research, Inc.MetricsAuthor Information Xuan Wang More articles by this author Ming Liu More articles by this author Jianye Wang More articles by this author Min Chen More articles by this author Ben Wan More articles by this author Chunmei Li More articles by this author Gang Wan More articles by this author Wei Zhang More articles by this author Yong Zhang More articles by this author Yuanyuan Zhang More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...