You have accessJournal of UrologyBladder Cancer: Invasive V (PD59)1 Sep 2021PD59-08 PRE-SURGICAL MULTIPARAMETRIC MAGNETIC RESONANCE IMAGING FEATURES PREDICTING CONTINENCE AFTER ROBOTIC RADICAL CYSTECTOMY WITH ORTHOTOPIC BLADDER RECONSTRUCTION: PRELIMINARY FINDINGS FORM PURE-01 TRIAL Giuseppe Fallara, Martina Cristodoro, Manuela Tutolo, Andrea Necchi, Donato Cannoletta, Giuseppe Rosiello, Antonio Messina, Alberto Briganti, Andrea Gallina, Francesco Montorsi, and Andrea Salonia Giuseppe FallaraGiuseppe Fallara More articles by this author , Martina CristodoroMartina Cristodoro More articles by this author , Manuela TutoloManuela Tutolo More articles by this author , Andrea NecchiAndrea Necchi More articles by this author , Donato CannolettaDonato Cannoletta More articles by this author , Giuseppe RosielloGiuseppe Rosiello More articles by this author , Antonio MessinaAntonio Messina More articles by this author , Alberto BrigantiAlberto Briganti More articles by this author , Andrea GallinaAndrea Gallina More articles by this author , Francesco MontorsiFrancesco Montorsi More articles by this author , and Andrea SaloniaAndrea Salonia More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000002096.08AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Continence recovery (CR) is one of the main concerns after robotic radical cystectomy (RARC) with orthotopic bladder reconstruction (OBR). In this context, pre-surgical multi-parametric magnetic resonance imaging (mpMRI) features might play a role in predicting CR after RARC with OBR. The aim of this preliminary study was to assess the association between CR and mpMRI features in a very selected group of patients treated with RARC with OBR and enrolled in the PURE-01 protocol. METHODS: Data from 42 consecutive patients submitted to mpMRI before RARC with OBR were prospectively collected. CR was defined as a ICIQ-UI-SF scores ≤6 or a maximum 1 security pad. Median and interquartile range were used for continuous variable - number and proportions for categorical variable. Univariate Cox regression models were used to assess association between mpMRI features and CR. Cumulative incidence curves depicted the CR rates over time for the associated variables. For continuous variable cut-off was chosen on the base of the more accurate univariate-based C-index for CR prediction. RESULTS: Median age at enrollment was 63.8 years (58.0-66.8). cT stage at mpMRI was ≥T2 in 31 (73.8%) patients. Only 1 (2.4%) patient was incontinent before surgery. At a median follow-up of 14.4 months (12.2-8.2), 22 out of 42 (52%) patients were continent. At univariable Cox regression model, depth of urethrovesical junction (HR 2.43; 95%CI 1.20-4.92; p=0.01) and levator ani thickness (HR 2.67; 95%CI 1.01-7.07; p=0.04) were associated with CR. Cumulative incidence curve depicted CR for major predictors according to the univariable Cox regression model. CONCLUSIONS: Depth of urethrovesical junction and levator ani thickness at mpMRI were statistically associated with continence recovery. mpMRI features might be useful for prediction of CR after robotic radical cystectomy with OBR. Source of Funding:. © 2021 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 206Issue Supplement 3September 2021Page: e1056-e1057 Advertisement Copyright & Permissions© 2021 by American Urological Association Education and Research, Inc.MetricsAuthor Information Giuseppe Fallara More articles by this author Martina Cristodoro More articles by this author Manuela Tutolo More articles by this author Andrea Necchi More articles by this author Donato Cannoletta More articles by this author Giuseppe Rosiello More articles by this author Antonio Messina More articles by this author Alberto Briganti More articles by this author Andrea Gallina More articles by this author Francesco Montorsi More articles by this author Andrea Salonia More articles by this author Expand All Advertisement Loading ...