MP15-01 CAN THE USE OF NARROW-BAND IMAGING (NBI) REDUCE PERSISTENT BLADDER CANCER RATE DURING WHITE-LIGHT CLASSIC TRANS-URETHRAL RESECTION OF TUMOR (WLCTURBT)? A PRELIMINARY SINGLE-CENTER EXPERIENCE IN A LARGE CASE SERIES.

Abstract

You have accessJournal of UrologyBladder Cancer: Non-invasive I1 Apr 2017MP15-01 CAN THE USE OF NARROW-BAND IMAGING (NBI) REDUCE PERSISTENT BLADDER CANCER RATE DURING WHITE-LIGHT CLASSIC TRANS-URETHRAL RESECTION OF TUMOR (WLCTURBT)? A PRELIMINARY SINGLE-CENTER EXPERIENCE IN A LARGE CASE SERIES. Cristina Falavolti, Barbara Cristina Gentile, Gabriella Mirabile, Paola Tariciotti, Luca Albanesi, Giorgio Rizzo, and Maurizio Buscarini Cristina FalavoltiCristina Falavolti More articles by this author , Barbara Cristina GentileBarbara Cristina Gentile More articles by this author , Gabriella MirabileGabriella Mirabile More articles by this author , Paola TariciottiPaola Tariciotti More articles by this author , Luca AlbanesiLuca Albanesi More articles by this author , Giorgio RizzoGiorgio Rizzo More articles by this author , and Maurizio BuscariniMaurizio Buscarini More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2017.02.486AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Transurethral resection of bladder tumors is the mainstay approach in bladder cancer diagnosis and treatment. Nevertheless, persistent tumor lesion is present in 33-76% of patients after WLcTURBT and a tumor stage change is reported in about 40% of patients. The aim of this study was to evaluate the probability to detect persistent high-risk bladder cancer using NBI after an initial WLcTURBT METHODS From June 2010 to April 2012, 797 patients (423 males and 374 females) affected by primary, recurrent or suspicious bladder lesions, underwent WLcTURBT. We performed NBI resection of every lesion margins and bed of resection during the same surgery session. Each fragment was separately analyzed. A logistic regression model was used to evaluate the correlation between persistent bladder tumor during repeat NBI resection and bladder cancer risk factors (stage, dimension and focality). The statistical analysis were conducted using Statistical Package for Social Science version 19 RESULTS Overall, 512 patients were diagnosed with bladder cancer. We identified 1572 bladder lesions of which 1066 (67.8%) were bladder neoplasms after WLcTURBT. Bladder tumors features are showed in table 1. We found 195 (18.2%) persistent pT1 or pCIS tumors after NBI resection (p< 0.05). Of those, 119 lesions (11.1%) were already high-risk tumors (pT1 or pCIS) after the initial WLcTURBT. In 140 lesions (13.1%) we found residual pT1 tumors (49 on margins and 91 on bed of resection) and 55 lesions (5.1%) showed residual pCIS tumors (52 on margins and 3 on bed of resection). We observed a disease down-staging in 76 lesions (7.1%) who were diagnosed with pTa tumor after the initial WLcTURBT. Of those, 50 tumors resulted pT1 bladder cancer after repeat NBI resection and 26 pTa tumors were finally diagnosed with pCIS bladder cancer. Tumor focality was correlated with significant (p< 0.05) high-risk tumor persistence on lesion margins CONCLUSIONS Bladder tumor persistence is significantly related to the endoscopic resection. NBI-TURBT represents a usefull procedure to detect residual high-risk tumors otherwise unidentifiable during WLcTURBT. Residual tumor rate in our study is 18%. Further studies are necessary to power this result © 2017FiguresReferencesRelatedDetails Volume 197Issue 4SApril 2017Page: e170-e171 Advertisement Copyright & Permissions© 2017MetricsAuthor Information Cristina Falavolti More articles by this author Barbara Cristina Gentile More articles by this author Gabriella Mirabile More articles by this author Paola Tariciotti More articles by this author Luca Albanesi More articles by this author Giorgio Rizzo More articles by this author Maurizio Buscarini More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...