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Meta-Analysis
. 2022 Jul;40(7):1617-1628.
doi: 10.1007/s00345-022-03969-6. Epub 2022 Mar 16.

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

Francesco Del Giudice  1   2 , Rocco Simone Flammia  1 , Martina Pecoraro  3 , Marco Moschini  4 , David D'Andrea  5 , Emanuele Messina  3 , Lucia Martina Pisciotti  3 , Ettore De Berardinis  1 , Alessandro Sciarra  1 , Valeria Panebianco  6
Affiliations
Meta-Analysis

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

Francesco Del Giudice et al. World J Urol. 2022 Jul.

Abstract

Purpose: To determine through a comprehensive systematic review and meta-analysis the cumulative diagnostic performance of vesical imaging-reporting and data system (VIRADS) to predict preoperative muscle-invasiveness among different institutions, readers, and optimal scoring accuracy thresholds.

Methods: PubMed, Cochrane and Embase were searched from inception up to May 2021. Sensitivity (Sn), Specificity (Sp) were first estimated and subsequently pooled using hierarchical summary receiver operating characteristics (HSROC) modeling for both cut-off ≥ 3 and ≥ 4 to predict muscle-invasive bladder cancer (MIBC). Further sensitivity analysis, subgroup analysis and meta-regression were conducted to investigate contribution of moderators to heterogeneity.

Results: In total, n = 20 studies from 2019 to 2021 with n = 2477 patients by n = 53 genitourinary radiologists met the inclusion criteria. Pooled weighted Sn and Sp were 0.87 (95% CI 0.82-0.91) and 0.86 (95% CI 0.80-0.90) for cut-off ≥ 3 while 0.78 (95% CI 0.74-0.81) and 0.94 (95% CI 0.91-0.96) for cut-off ≥ 4. The area under the HSROC curve was 0.93 (95% CI 0.90-0.95) and 0.91 (95% CI 0.88-0.93) for cut-off ≥ 3 and ≥ 4, respectively. Meta-regression analyses showed no influence of clinical characteristics nor cumulative reader's experience while study design and radiological characteristics were found to influence the estimated outcome.

Conclusion: We demonstrated excellent worldwide diagnostic performance of VI-RADS to determine pre-trans urethral resection of bladder tumor (TURBT) staging. Our findings corroborate wide reliability of VI-RADS accuracy also between different centers with varying experience underling the importance that standardization and reproducibility of VI-RADS may confer to multiparametric magnetic resonance imaging (mpMRI) for preoperative BCa discrimination.

Keywords: Bladder cancer; Bladder cancer staging; Multiparametric magnetic resonance imaging; Muscle-invasive bladder cancer.

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Conflict of interest statement

Regarding the content of this paper, the authors declare that they have no conflict of interest to disclose.

Figures

Fig. 1
Fig. 1
Forest plot of pooled sensitivity and specificity for VIRADS ≥ 3 (A) or ≥ 4 (B) as the cut-off criterion for MIBC identification
Fig. 2
Fig. 2
HSROC for diagnostic performance of studies using VI-RADS predicting MIBC. HSROC hierarchical summary receiver operating characteristics; VI-RADS vesical imaging reporting and data system
Fig. 3
Fig. 3
Fagan nomogram reflecting pre- and post-test probability estimation for clinical utility of VIRADS criterion ≥ 3 (A) or ≥ 4 (B), respectively. VI-RADS vesical imaging reporting and data system
See this image and copyright information in PMC

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