Literature DB >> 31699526

Prospective Assessment of Vesical Imaging Reporting and Data System (VI-RADS) and Its Clinical Impact on the Management of High-risk Non-muscle-invasive Bladder Cancer Patients Candidate for Repeated Transurethral Resection.

Francesco Del Giudice1, Giovanni Barchetti2, Ettore De Berardinis1, Martina Pecoraro2, Vincenzo Salvo2, Giuseppe Simone3, Alessandro Sciarra1, Costantino Leonardo1, Michele Gallucci1, Carlo Catalano2, James W F Catto4, Valeria Panebianco5.   

Abstract

BACKGROUND: Vesical Imaging Reporting and Data System (VI-RADS) score is adopted to provide preoperative bladder cancer (BCa) staging. Repeated transurethral resection of bladder tumor (Re-TURBT) is recommended in most of high-risk non-muscle-invasive bladder cancers (HR-NMIBCs) due to possibility of persistent/understaged disease after initial TURBT. No diagnostic tools able to improve patient's stratification for such recommendation exist.
OBJECTIVE: To (1) prospectively validate VI-RADS for discriminating between NMIBC and muscle-invasive bladder cancer (MIBC) at TURBT, and (2) evaluate the accuracy of VI-RADS for identifying HR-NMIBC patients who could avoid Re-TURBT and detecting those at higher risk for understaging after TURBT. DESIGN, SETTING, AND PARTICIPANTS: Patients with BCa suspicion were offered multiparametric magnetic resonance imaging (mpMRI) before TURBT. According to VI-RADS, a cutoff of ≥3 to define MIBC was assumed. TURBT reports were compared with preoperative VI-RADS scores to assess accuracy of mpMRI for discriminating between NMIBC and MIBC. HR-NMIBC Re-TURBT reports were compared with preoperatively recorded VI-RADS scores to assess mpMRI accuracy in predicting Re-TURBT outcomes. INTERVENTION: Multiparametric MRI of the bladder before TURBT. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Sensitivity, specificity, positive (PPV) and negative (NPV) predictive values were calculated for mpMRI performance in patients undergoing TURBT and for HR-NMIBC patients candidate for Re-TURBT. Performance of mpMRI was assessed by receiver operating characteristic curve analysis. Ƙ statistics was used to estimate inter- and intrareader variability. RESULTS AND LIMITATIONS: A total of 231 patients were enrolled. Multiparametric MRI showed sensitivity, specificity, PPV, and NPV for discriminating NMIBC from MIBC at initial TURBT of 91.9% (95% confidence interval [CI]: 82.2-97.3), 91.1% (95% CI: 85.8-94.9), 77.5% (95% CI: 65.8-86.7), and 97.1% (95% CI: 93.3-99.1), respectively. The area under the curve (AUC) was 0.94 (95% CI: 0.91-0.97). Among HR-NMIBC patients (n=114), mpMRI before TURBT showed sensitivity, specificity, PPV, and NPV of 85% (95% CI: 62.1-96.8), 93.6% (95% CI: 86.6-97.6), 74.5% (95% CI: 52.4-90.1), and 96.6% (95% CI: 90.5-99.3) respectively, to identify patients with MIBC at Re-TURBT. The AUC was 0.93 (95% CI: 0.87-0.97).
CONCLUSIONS: VI-RADS is accurate for discriminating between NMIBC and MIBC. Within HR-NMIBC cases, VI-RADS could, in future, improve the selection of patients who are candidate for Re-TURBT. PATIENT
SUMMARY: We investigated the accuracy of Vesical Imaging Reporting and Data System (VI-RADS) score to asses bladder cancer staging before transurethral resection of bladder tumors, and we explored the performance of VI-RADS score as a future preoperative predictive tool for the selection of high-risk non-muscle-invasive bladder cancer patients who are candidate for undergoing early repeated transurethral resection of the primary tumor site.
Copyright © 2019 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bladder cancer; High-risk non–muscle-invasive bladder cancer; Multiparametric magnetic resonance imaging; Muscle-invasive bladder cancer; Repeated transurethral resection of bladder tumor; Transurethral resection of bladder tumor

Mesh:

Year:  2019        PMID: 31699526     DOI: 10.1016/j.eururo.2019.09.029

Source DB:  PubMed          Journal:  Eur Urol        ISSN: 0302-2838            Impact factor:   20.096


  38 in total

1.  Xpert Bladder Cancer Monitor May Avoid Cystoscopies in Patients Under "Active Surveillance" for Recurrent Bladder Cancer (BIAS Project): Longitudinal Cohort Study.

Authors:  Vittorio Fasulo; Marco Paciotti; Massimo Lazzeri; Roberto Contieri; Paolo Casale; Alberto Saita; Giovanni Lughezzani; Pietro Diana; Nicola Frego; Pier Paolo Avolio; Piergiuseppe Colombo; Grazia Maria Elefante; Giorgio Guazzoni; Nicolò Maria Buffi; Michael Bates; Rodolfo Hurle
Journal:  Front Oncol       Date:  2022-01-27       Impact factor: 6.244

2.  Prognostic Value of the Systemic Inflammatory Response Index in Patients Undergoing Radical Cystectomy for Bladder Cancer: A Population-Based Study.

Authors:  Jinliang Ni; Keyi Wang; Houliang Zhang; Jinbo Xie; Jun Xie; Changxiu Tian; Yifan Zhang; Weiyi Li; Bin Su; Chaozhao Liang; Xinran Song; Bo Peng
Journal:  Front Oncol       Date:  2021-08-16       Impact factor: 6.244

Review 3.  Multiparametric magnetic resonance imaging for bladder cancer: a comprehensive systematic review of the Vesical Imaging-Reporting and Data System (VI-RADS) performance and potential clinical applications.

Authors:  Denis Séguier; Philippe Puech; Ronald Kool; Léa Dernis; Héléna Gabert; Wassim Kassouf; Arnauld Villers; Gautier Marcq
Journal:  Ther Adv Urol       Date:  2021-08-25

4.  The application value of multi-parameter cystoscope in improving the accuracy of preoperative bladder cancer grading.

Authors:  Qikai Wu; Lingkai Cai; Baorui Yuan; Qiang Cao; Juntao Zhuang; Meiling Bao; Zhen Wang; Dexiang Feng; Jun Tao; Pengchao Li; Qiang Shao; Xiao Yang; Qiang Lu
Journal:  BMC Urol       Date:  2022-07-18       Impact factor: 2.090

5.  Diagnostic Performance of Vesical Imaging Reporting and Data System for the Prediction of Muscle-invasive Bladder Cancer: A Systematic Review and Meta-analysis.

Authors:  Sungmin Woo; Valeria Panebianco; Yoshifumi Narumi; Francesco Del Giudice; Valdair F Muglia; Mitsuru Takeuchi; Soleen Ghafoor; Bernard H Bochner; Alvin C Goh; Hedvig Hricak; James W F Catto; Hebert Alberto Vargas
Journal:  Eur Urol Oncol       Date:  2020-03-19

Review 6.  Staging of bladder cancer with multiparametric MRI.

Authors:  Hiroshi Juri; Yoshifumi Narumi; Valeria Panebianco; Keigo Osuga
Journal:  Br J Radiol       Date:  2020-06-09       Impact factor: 3.039

7.  Practice-changing publications: Muscle-invasive bladder cancer.

Authors:  Khatereh Aminoltejari; Girish Kulkarni; Ross Mason
Journal:  Can Urol Assoc J       Date:  2021-08-26       Impact factor: 1.862

Review 8.  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.

Authors:  Francesco Del Giudice; Rocco Simone Flammia; Martina Pecoraro; Marco Moschini; David D'Andrea; Emanuele Messina; Lucia Martina Pisciotti; Ettore De Berardinis; Alessandro Sciarra; Valeria Panebianco
Journal:  World J Urol       Date:  2022-03-16       Impact factor: 3.661

9.  Detection of Degenerative Changes on MR Images of the Lumbar Spine with a Convolutional Neural Network: A Feasibility Study.

Authors:  Nils Christian Lehnen; Robert Haase; Jennifer Faber; Theodor Rüber; Hartmut Vatter; Alexander Radbruch; Frederic Carsten Schmeel
Journal:  Diagnostics (Basel)       Date:  2021-05-19

10.  Development and Validation of a Prognostic Model for Predicting Overall Survival in Patients With Bladder Cancer: A SEER-Based Study.

Authors:  Wei Wang; Jianchao Liu; Lihua Liu
Journal:  Front Oncol       Date:  2021-06-17       Impact factor: 6.244

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