Abstract

You have accessJournal of UrologyCME1 Apr 2023MP44-04 IMPORTANCE OF THE ULTRASOUND CHARACTERISTICS OF REGIONS OF INTEREST BY MRI AND THE ADDITIONAL TARGET BIOPSY AROUND THEIR PERI-HYPOECHOIC LESIONS IN MR/TRUS SOFTWARE FUSION BIOPSY TO IMPROVE DETECTION RATE OF PROSTATE CANCER Won Hoon Song, Youn Ha Lee, Dan Bi Lee, Jae Yeon Kim, Seung Soo Lee, Jong Kil Nam, and Sung Woo Park Won Hoon SongWon Hoon Song More articles by this author , Youn Ha LeeYoun Ha Lee More articles by this author , Dan Bi LeeDan Bi Lee More articles by this author , Jae Yeon KimJae Yeon Kim More articles by this author , Seung Soo LeeSeung Soo Lee More articles by this author , Jong Kil NamJong Kil Nam More articles by this author , and Sung Woo ParkSung Woo Park More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003290.04AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: We investigated prospectively whether the presence of an ultrasound hypoechoic region at the site of a region of interest (ROI) by magnetic resonance imaging (MRI) and additional target biopsy around their peri-hypoechoic lesions can predict and improve prostate cancer detection in MRI/Transrectal Ultrasonography (TRUS) software fusion prostate biopsy. METHODS: From August 2019 to May 2022, a total of 376 patients who underwent multiparametric (mp)MRI and who underwent MRI/TRUS software fusion prostate biopsy by single surgeon were analyzed prospectively. ROI by MRI was prospectively evaluated for presence of a hypoechoic region at the site and graded as TRUS 1/3, 2/3 or 3/3, representing none, a poorly demarcated ROI, or a well demarcated ROI, respectively. The additional target biopsy around the peri-hypoechoic lesions was done. The interaction of PI-RADS version 2.1 and TRUS grade, and the prediction of cancer detection rate by TRUS grade, were evaluated through multivariate analysis. RESULTS: The cancer detection rates for TRUS 1, 2 and 3 were 25.5%, 39.0% and 83.0% (p<0.001) for any cancer, and 14.0%, 24.6% and 71.4% (p<0.001) for GS≥7 cancer, respectively. For PI-RADS 4, the GS ≥7 cancer detection rates for TRUS 1, 2 and 3 were 30.6% (p=0.159), 31.9% (p=0.028), and 69.0% (p<0.001), respectively. For PI-RADS 5, the GS ≥7 cancer detection rates for TRUS 1, 2 and 3 were 0.0% (p=0.027), 64.3% (p=0.249) and 84.7% (p<0.001). The detection rate of GS>7 for peri-hypoechoic lesions with PI-RADS 4 and TRUS 3 was 52.4% (p<0.001), and the detection rate of GS>7 for peri-hypoechoic lesions with PI-RADS 5 and TRUS 3 was 79.7% (p=0.108). Multivariable regression analysis and ROC curve showed that high TRUS grade, PI-RADS, and peri-hypoechoic lesion around ROI were predictive of clinically significant prostate cancer. CONCLUSIONS: Ultrasonographic findings and additional target biopsy around the peri-hypoechoic lesions at the site of ROI by MRI on MRI/TRUS software fusion prostate biopsy helps independently predict the detection of prostate cancer with PI-RADS score. Source of Funding: None © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e611 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Won Hoon Song More articles by this author Youn Ha Lee More articles by this author Dan Bi Lee More articles by this author Jae Yeon Kim More articles by this author Seung Soo Lee More articles by this author Jong Kil Nam More articles by this author Sung Woo Park More articles by this author Expand All Advertisement PDF downloadLoading ...

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