Abstract

You have accessJournal of UrologyCME1 May 2022PD42-06 THE ACCURACY OF VESICAL IMAGING-REPORTING AND DATA SYSTEM (VI-RADS): AN UPDATED COMPREHENSIVE MULTI-INSTITUTIONAL, MULTI-READERS SYSTEMATIC REVIEW AND META-ANALYSIS FROM DIAGNOSTIC EVIDENCE INTO FUTURE CLINICAL RECOMMENDATIONS Francesco Del Giudice, Rocco Simone Flammia, Martina Pecoraro, Marco Moschini, David D'Andrea, Benjamin I. Chung, Lucia Martina Pisciotti, Alessandro Sciarra, Ettore De Berardinis, and Valeria Panebianco Francesco Del GiudiceFrancesco Del Giudice More articles by this author , Rocco Simone FlammiaRocco Simone Flammia More articles by this author , Martina PecoraroMartina Pecoraro More articles by this author , Marco MoschiniMarco Moschini More articles by this author , David D'AndreaDavid D'Andrea More articles by this author , Benjamin I. ChungBenjamin I. Chung More articles by this author , Lucia Martina PisciottiLucia Martina Pisciotti More articles by this author , Alessandro SciarraAlessandro Sciarra More articles by this author , Ettore De BerardinisEttore De Berardinis More articles by this author , and Valeria PanebiancoValeria Panebianco More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000002603.06AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: We aimed to determine through a comprehensive systematic review and meta-analysis the cumulative diagnostic performance of Vesical Imaging-Reporting and Data System (VIRADS) to predict preoperative muscle-invasiveness among different institutions, readers, and optimal scoring accuracy thresholds. METHODS: PubMed, Cochrane and Embase were searched from inception up to May 2021. Sensitivity (Sn), Specificity (Sp), were firstly estimated and subsequently pooled using hierarchical summary receiver operating characteristics (HSROC) modeling for both cut-off ≥3 and ≥4 to predict muscle-invasive bladder cancer (MIBC). Further sensitivity analysis, subgroup analysis and meta-regression were conducted to investigate contribution of moderators to heterogeneity. RESULTS: In total, n=20 studies from 2019 to 2021 with n=2477 patients by n=53 genitourinary radiologists met the inclusion criteria. Pooled weighted Sn and Sp were 0.87 (95%CI: 0.82–0.91) and 0.86 (95%CI: 0.80–0.90) for cut-off ≥3 while 0.78 (95%CI: 0.74–0.81) and 0.94 (95%CI: 0.91–0.96) for cut-off ≥4. The area under the HSROC curve was 0.93 (95%CI: 0.90–0.95) and 0.91 (95%CI: 0.88-0.93) for cut-off ≥3 and ≥4 respectively. Meta-regression analyses showed no influence of clinical characteristics nor cumulative reader’s experience while study design and radiological characteristics were found to influence the estimated outcome. CONCLUSIONS: We demonstrated excellent worldwide diagnostic performance of VI-RADS to determine pre-trans urethral resection of bladder tumor (TURBT) staging. Our findings corroborate wide reliability of VI-RADS accuracy also between different centers with varying experience underling the importance that standardization and reproducibility of VI-RADS may confer to multiparametric magnetic resonance imaging (mpMRI) for preoperative BCa discrimination. Source of Funding: None © 2022 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 207Issue Supplement 5May 2022Page: e697 Advertisement Copyright & Permissions© 2022 by American Urological Association Education and Research, Inc.MetricsAuthor Information Francesco Del Giudice More articles by this author Rocco Simone Flammia More articles by this author Martina Pecoraro More articles by this author Marco Moschini More articles by this author David D'Andrea More articles by this author Benjamin I. Chung More articles by this author Lucia Martina Pisciotti More articles by this author Alessandro Sciarra More articles by this author Ettore De Berardinis More articles by this author Valeria Panebianco More articles by this author Expand All Advertisement PDF DownloadLoading ...

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