Abstract

You have accessJournal of UrologyProstate Cancer: Detection & Screening I (MP05)1 Sep 2021MP05-18 VARIABILITY IN PROSTATE CANCER DETECTION AMONGST UROLOGISTS AND RADIOLOGISTS IN A HIGH VOLUME MULTIPARAMETRIC MAGNETIC RESONANCE IMAGING FUSION BIOPSY CENTER Sarah E. Sweigert, Hiten D. Patel, Elizabeth L. Koehne, Steven M. Shea, Robert C. Flanigan, Marcus L. Quek, Alex Gorbonos, Ari Goldberg, and Gopal N. Gupta Sarah E. SweigertSarah E. Sweigert More articles by this author , Hiten D. PatelHiten D. Patel More articles by this author , Elizabeth L. KoehneElizabeth L. Koehne More articles by this author , Steven M. SheaSteven M. Shea More articles by this author , Robert C. FlaniganRobert C. Flanigan More articles by this author , Marcus L. QuekMarcus L. Quek More articles by this author , Alex GorbonosAlex Gorbonos More articles by this author , Ari GoldbergAri Goldberg More articles by this author , and Gopal N. GuptaGopal N. Gupta More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000001972.18AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: As use of multiparametric magnetic resonance imaging (mpMRI) of the prostate increases, detection of prostate cancer (PCa) may be influenced by inter-user variability of individual radiologists and urologists. We aimed to evaluate the impact of radiologist and urologist variability on detection of PCa with mpMRI transrectal ultrasound (TRUS)-guided prostate biopsies for Prostate Imaging Reporting and Data System (PI-RADS) 3-5 lesions. METHODS: Men undergoing mpMRI TRUS-guided biopsies of PI-RADS 3-5 lesions (systematic and targets) from the Prospective Loyola University mpMRI-Biopsy Cohort (PLUM) were included. Data were stratified by individual radiologist and urologist to evaluate variation in PI-RADS grading, detection of PCa on any biopsy cores, and detection of PCa (Grade Group ≥2) on targeted biopsy cores. Multivariable logistic regression (MVR) models evaluated adjusted variation between radiologists and urologists. Area under the curve (AUC) comparisons assessed the relative impact of radiologists and urologists compared to a baseline predictive model. RESULTS: A total of 865 patients were included across 5 urologists and 10 radiologists. There was significant variability in number of PI-RADS lesions identified (8.3% to 48.4% reporting 3+ lesions, p<0.001), but no significant variability in grade of PI-RADS lesions (13.8% to 33.3% calling PI-RADS 5 lesions, p=0.39) by individual radiologist. PCa detection ranged from 34.5% to 66.7% by radiologist and 29.2% to 55.8% by urologist with similar trends by PI-RADS score and among targeted cores. Relative to the median on adjusted MVR, odds ratios ranged from 0.60 to 2.76 for radiologists and 0.51 to 1.22 for urologists. Addition of radiologist to the baseline predictive model increased AUC for the outcomes of any positive core (0.858 to 0.866, p=0.02), positive targeted core (0.873 to 0.880, p=0.02), and positive clinically significant targeted core (0.871 to 0.878, p=0.04) while addition of urologist was not significant. CONCLUSIONS: There is notable variability by radiologist and urologist in detection of any and clinically significant PCa using mpMRI TRUS-guided prostate biopsies. Radiologist variation contributed to greater impact on PCa detection. Source of Funding: The PLUM Prostate Biopsy Cohort database is supported by funding from Siemens Medical Solutions USA, Inc © 2021 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 206Issue Supplement 3September 2021Page: e85-e86 Advertisement Copyright & Permissions© 2021 by American Urological Association Education and Research, Inc.MetricsAuthor Information Sarah E. Sweigert More articles by this author Hiten D. Patel More articles by this author Elizabeth L. Koehne More articles by this author Steven M. Shea More articles by this author Robert C. Flanigan More articles by this author Marcus L. Quek More articles by this author Alex Gorbonos More articles by this author Ari Goldberg More articles by this author Gopal N. Gupta More articles by this author Expand All Advertisement Loading ...

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