Literature DB >> 29727910

Diagnostic accuracy of magnetic resonance imaging for tumour staging of bladder cancer: systematic review and meta-analysis.

Niket Gandhi1, Satheesh Krishna1, Christopher M Booth2, Rodney H Breau3,4, Trevor A Flood5, Scott C Morgan6, Nicola Schieda1,4, Jean-Paul Salameh4,7, Trevor A McGrath8, Matthew D F McInnes1,4,7.   

Abstract

The purpose of this study is to evaluate accuracy of magnetic resonance imaging (MRI) for local staging of bladder cancer for four clinical scenarios (T-stage thresholds) considered against current standards for clinical staging and secondarily to identify sources for variability in accuracy. Systematic review of patients with bladder cancer undergoing T-staging MRI to evaluate the diagnostic accuracy using bivariate random-effects meta-analysis. Sub-group analysis was done to explore variability; risk of bias was assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS)-2 tool. The search identified 30 studies (5156 patients). Pooled accuracy at multiple T-stage thresholds: ≤T1 vs ≥T2 = sensitivity 87% (95% confidence interval [CI] 82-91), specificity 79% (95% CI 72-85); T-any vs T0 = sensitivity 65% (95% CI 23-92), specificity 90% (95% CI 83-94); ≤T2 vs ≥T3 = sensitivity 83% (95% CI 75-88), specificity 87% (95% CI 78-93); and <T4b vs pT4b = sensitivity 85% (95% CI 63-95), specificity 98% (95% CI 95-99). For ≤T1 vs ≥T2, accuracy was higher in studies at low risk of bias. No variability in accuracy was identified for: field strength, transurethral resection of bladder tumour status, publication date, index test parameters. For ≤T1 vs ≥T2, accuracy was higher than reported for clinical staging. For T-any vs T0 accuracy was lower than clinical staging. For ≤T2 vs ≥T3, sensitivity was slightly lower than clinical staging but specificity was considerably higher. For <T4b vs pT4b sensitivity exceeded the estimated accuracy for clinical staging. Limitations: two scenarios had few studies (T-any vs T0; <T4b vs pT4b) and several studies were at high risk of bias. MRI staging for ≤T1 vs ≥T2, ≤T2 vs ≥T3, and <T4b vs pT4b should be considered as potentially superior to the current standard for clinical staging. MRI accuracy for T-any vs T0 may not be superior to clinical staging. However, cautious interpretation is warranted related to risk of bias and sample size; validation in trials comparing clinical staging strategies vs MRI is warranted.
© 2018 The Authors BJU International © 2018 BJU International Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  bladder cancer; diagnostic accuracy; magnetic resonance imaging; staging; systematic review

Mesh:

Year:  2018        PMID: 29727910     DOI: 10.1111/bju.14366

Source DB:  PubMed          Journal:  BJU Int        ISSN: 1464-4096            Impact factor:   5.588


  17 in total

1.  Multiparametric MRI of the bladder: inter-observer agreement and accuracy with the Vesical Imaging-Reporting and Data System (VI-RADS) at a single reference center.

Authors:  Giovanni Barchetti; Giuseppe Simone; Isabella Ceravolo; Vincenzo Salvo; Riccardo Campa; Francesco Del Giudice; Ettore De Berardinis; Dorelsa Buccilli; Carlo Catalano; Michele Gallucci; James W F Catto; Valeria Panebianco
Journal:  Eur Radiol       Date:  2019-03-18       Impact factor: 5.315

2.  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

3.  Guideline of guidelines: Muscle-invasive bladder cancer.

Authors:  Nicolas Pavlos Omorphos; John Carlo Pansaon Piedad; Nikhil Vasdev
Journal:  Turk J Urol       Date:  2020-09-21

4.  Prognostic Utility of MRI Features in Intradiverticular Bladder Tumor.

Authors:  Sungmin Woo; Soleen Ghafoor; Anton S Becker; Hedvig Hricak; Alvin C Goh; Hebert Alberto Vargas
Journal:  Acad Radiol       Date:  2020-11-05       Impact factor: 3.173

5.  Evaluation of Vesical Imaging-Reporting and Data System (VI-RADS) scoring system in predicting muscle invasion of bladder cancer.

Authors:  Shenghua Liu; Feijia Xu; Tianyuan Xu; Yang Yan; Xudong Yao; Guangyu Tang
Journal:  Transl Androl Urol       Date:  2020-04

6.  11C-acetate PET/MRI in bladder cancer staging and treatment response evaluation to neoadjuvant chemotherapy: a prospective multicenter study (ACEBIB trial).

Authors:  Antti Salminen; Ivan Jambor; Harri Merisaari; Otto Ettala; Johanna Virtanen; Ilmari Koskinen; Erik Veskimae; Jukka Sairanen; Pekka Taimen; Jukka Kemppainen; Heikki Minn; Peter J Boström
Journal:  Cancer Imaging       Date:  2018-08-02       Impact factor: 3.909

7.  A Potential Application of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Combined with Photodynamic Diagnosis for the Detection of Bladder Carcinoma in Situ: Toward the Future 'MRI-PDD Fusion TURBT'.

Authors:  Makito Miyake; Fumisato Maesaka; Nagaaki Marugami; Tatsuki Miyamoto; Yasushi Nakai; Sayuri Ohnishi; Daisuke Gotoh; Takuya Owari; Shunta Hori; Yosuke Morizawa; Yoshitaka Itami; Takeshi Inoue; Satoshi Anai; Kazumasa Torimoto; Tomomi Fujii; Keiji Shimada; Nobumichi Tanaka; Kiyohide Fujimoto
Journal:  Diagnostics (Basel)       Date:  2019-09-04

8.  Diagnostic accuracy of retrospective application of the Vesical Imaging-Reporting and Data System: preliminary results.

Authors:  André Vaz; Mauricio Zaparolli
Journal:  Radiol Bras       Date:  2020 Jan-Feb

Review 9.  MR-Guided Adaptive Radiotherapy for Bladder Cancer.

Authors:  Adham Hijab; Boris Tocco; Ian Hanson; Hanneke Meijer; Christina Junker Nyborg; Anders Smedegaard Bertelsen; Robert Jan Smeenk; Gillian Smith; Jeff Michalski; Brian C Baumann; Shaista Hafeez
Journal:  Front Oncol       Date:  2021-02-25       Impact factor: 6.244

Review 10.  Imaging and Management of Bladder Cancer.

Authors:  Vincenzo K Wong; Dhakshinamoorthy Ganeshan; Corey T Jensen; Catherine E Devine
Journal:  Cancers (Basel)       Date:  2021-03-19       Impact factor: 6.639

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