Literature DB >> 30922688

Diagnostic Accuracy and Interobserver Agreement for the Vesical Imaging-Reporting and Data System for Muscle-invasive Bladder Cancer: A Multireader Validation Study.

Yoshiko Ueno1, Mitsuru Takeuchi2, Tsutomu Tamada3, Keitaro Sofue4, Satoru Takahashi5, Yuki Kamishima6, Nobuyuki Hinata7, Kenichi Harada7, Masato Fujisawa7, Takamichi Murakami4.   

Abstract

A Vesical Imaging-Reporting and Data System (VI-RADS) based on multiparametric magnetic resonance imaging (mp-MRI) was developed to provide accurate information for the diagnosis of muscle-invasive bladder cancers (MIBCs). In this study we evaluated the interobserver agreement and diagnostic performance of VI-RADS. We retrospectively evaluated data for 74 consecutive patients with bladder cancer who had undergone mp-MRI before transurethral resection in a single institution from January 2010 to August 2018. Five readers assessed the probability of the presence of MIBC using VI-RADS scores. The interobserver agreement was assessed by measuring intraclass correlation coefficients (ICCs). Receiver operating characteristic (ROC) analysis was used to evaluate the MIBC diagnostic performance. The area under the ROC curve (AUC) was estimated for ordinal score assessments. Our study demonstrated that interobserver agreement was excellent among five readers (ICC 0.85, 95% confidence interval 0.80-0.89) and the diagnostic performance of VI-RADS was represented as a pooled AUC of 0.90 (95% confidence interval 0.87-0.93). PATIENT
SUMMARY: We evaluated the interobserver agreement and diagnostic performance of a new scoring system based on magnetic resonance imaging called a Vesical Imaging-Reporting and Data System (VI-RADS) for muscle-invasive bladder cancer. Our results indicate that VI-RADS is suitable as a comprehensive tool for appropriate treatment planning for patients with bladder cancer.
Copyright © 2019 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bladder cancer; Multiparametric magnetic resonance imaging; Scoring; Staging; Vesical Imaging-Reporting and Data System

Year:  2019        PMID: 30922688     DOI: 10.1016/j.eururo.2019.03.012

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


  21 in total

Review 1.  [The role of the vesical imaging-reporting and data system (VI-RADS) for bladder cancer diagnostics-status quo].

Authors:  V Hechler; M Rink; D Beyersdorff; M Beer; A J Beer; V Panebianco; M Pecoraro; C Bolenz; G Salomon
Journal:  Urologe A       Date:  2019-12       Impact factor: 0.639

Review 2.  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

3.  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

4.  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 5.  Imaging in Localized Bladder Cancer: Can Current Diagnostic Modalities Provide Accurate Local Tumor Staging?

Authors:  Sandeep Gurram; Akhil Muthigi; Jillian Egan; Lambros Stamatakis
Journal:  Curr Urol Rep       Date:  2019-11-28       Impact factor: 3.092

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.  Can artificial intelligence help reduce unnecessary bladder biopsies? Comment on "Assessing treatment response after intravesical bacillus Calmette-Guerin induction cycle: are routine bladder biopsies necessary".

Authors:  Qi-Dong Xia; Jia Hu; Zheng Liu; Cong Li; Shao-Gang Wang
Journal:  World J Urol       Date:  2021-06-08       Impact factor: 4.226

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.  What is the impact of dynamic contrast-enhancement sequence in the Vesical Imaging, Reporting and Data System (VI-RADS)? A subgroup analysis.

Authors:  Thaisa Gvozdenovic Medina Bricio; Gabriel Lion Gouvea; Rafael Vasconcelos Barros; Fernando Chahud; Jorge Elias; Rodolfo B Reis; Valdair F Muglia
Journal:  Cancer Imaging       Date:  2022-05-03       Impact factor: 5.605

10.  Deep Learning on Enhanced CT Images Can Predict the Muscular Invasiveness of Bladder Cancer.

Authors:  Gumuyang Zhang; Zhe Wu; Lili Xu; Xiaoxiao Zhang; Daming Zhang; Li Mao; Xiuli Li; Yu Xiao; Jun Guo; Zhigang Ji; Hao Sun; Zhengyu Jin
Journal:  Front Oncol       Date:  2021-06-11       Impact factor: 6.244

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