Diagnostic accuracy of vesical imaging-reporting and data system (VI-RADS) in suspected muscle invasive bladder cancer: A systematic review and diagnostic meta-analysis

Jazayeri, SB; Dehghanbanadaki, H; Hosseini, M; Taghipour, P; Alam, MU; Balaji, KC; Bandyk, M

Diagnostic accuracy of vesical imaging-reporting and data system (VI-RADS) in suspected muscle invasive bladder cancer: A systematic review and diagnostic meta-analysis

Jazayeri, SB Dehghanbanadaki, H Hosseini, M

Taghipour, P Alam, MU Balaji, KC Bandyk, M

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Urologic Oncology: seminars and original investigations, 2022, 40, (2), pp. 45-55
Issue Date:: 2022

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Field	Value	Language
dc.contributor.author	Jazayeri, SB
dc.contributor.author	Dehghanbanadaki, H
dc.contributor.author	Hosseini, M https://orcid.org/0000-0001-6979-3780
dc.contributor.author	Taghipour, P
dc.contributor.author	Alam, MU
dc.contributor.author	Balaji, KC
dc.contributor.author	Bandyk, M
dc.date.accessioned	2022-11-06T23:56:34Z
dc.date.available	2021-11-06
dc.date.available	2022-11-06T23:56:34Z
dc.date.issued	2022
dc.identifier.citation	Urologic Oncology: seminars and original investigations, 2022, 40, (2), pp. 45-55
dc.identifier.issn	1078-1439
dc.identifier.issn	1873-2496
dc.identifier.uri	http://hdl.handle.net/10453/163255
dc.description.abstract	Objective: To investigate the accuracy of Vesical Imaging-Reporting and Data System (VI-RADS) in detection of muscle-invasive bladder cancer (MIBC) we performed a systematic review and meta-analysis of the available literature. Materials and Methods: Scopus, Web of Science, PubMed, and EMBASE were searched up to 8 March 2021 for the studies evaluating the diagnostic performance of VI-RADS for the detection of MIBC. Inclusion criteria were patients with bladder cancer; index test of VI-RADS based on multiparametric MRI; reference test of histopathological findings from TURBT, re-TURBT, or cystectomy and study design of cohort. Case reports, review articles, and editorials were eliminated, as well as studies with insufficient knowledge to acquire TP, FP, FN, and TN values of VI-RADS. The MIDAS module of STATA was for statistical analysis. The heterogeneity was explored using subgroup analysis and meta-regression analysis. Results: Overall, 22 eligible studies, consisting of 2,576 participants and 5,414 MRI reports, were included in this meta-analysis. The area under curve (AUC) of VI-RADS at cut-point values of 3 and 4 were 0.93 (95%CI: 0.91, 0.95), 0.93 (95%CI: 0.90, 0.95), respectively. Based on Youden's J statistic, the optimal VI-RADS cutoff value for predicting MIBC was determined as 3 which granted a pooled sensitivity of 89% (95%CI: 87%, 91%; I2=48%) and a specificity of 84% (95%CI: 80%, 87%; I2=90%). Based on meta-regression, the sources of inter-study heterogeneity for VI-RADS ≥ 3 were the sample size > 70, study design, single-center vs multi-center, patient population characteristics (i.e., gender, age), reference standard, histology, magnetic strength, T2WI slice thickness, and the number of radiologists reporting the MRI results (P value ≤ 0.01). Conclusion: The VI-RADS demonstrates consistently high diagnostic accuracy to predict MIBC. This scoring system could be applied in standard staging MRI reports of bladder cancer and can be incorporated into future MIBC work up guidelines.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Elsevier
dc.relation.ispartof	Urologic Oncology: seminars and original investigations
dc.relation.isbasedon	10.1016/j.urolonc.2021.11.008
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	1112 Oncology and Carcinogenesis
dc.subject.classification	Urology & Nephrology
dc.subject.mesh	Female
dc.subject.mesh	Humans
dc.subject.mesh	Male
dc.subject.mesh	Research Design
dc.subject.mesh	Urinary Bladder Neoplasms
dc.subject.mesh	Humans
dc.subject.mesh	Research Design
dc.subject.mesh	Female
dc.subject.mesh	Male
dc.subject.mesh	Urinary Bladder Neoplasms
dc.title	Diagnostic accuracy of vesical imaging-reporting and data system (VI-RADS) in suspected muscle invasive bladder cancer: A systematic review and diagnostic meta-analysis
dc.type	Journal Article
utslib.citation.volume	40
utslib.location.activity	United States
utslib.for	1112 Oncology and Carcinogenesis
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Public Health
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2022-11-06T23:56:33Z
pubs.issue	2
pubs.publication-status	Published
pubs.volume	40
utslib.citation.issue	2

Abstract:

Objective: To investigate the accuracy of Vesical Imaging-Reporting and Data System (VI-RADS) in detection of muscle-invasive bladder cancer (MIBC) we performed a systematic review and meta-analysis of the available literature. Materials and Methods: Scopus, Web of Science, PubMed, and EMBASE were searched up to 8 March 2021 for the studies evaluating the diagnostic performance of VI-RADS for the detection of MIBC. Inclusion criteria were patients with bladder cancer; index test of VI-RADS based on multiparametric MRI; reference test of histopathological findings from TURBT, re-TURBT, or cystectomy and study design of cohort. Case reports, review articles, and editorials were eliminated, as well as studies with insufficient knowledge to acquire TP, FP, FN, and TN values of VI-RADS. The MIDAS module of STATA was for statistical analysis. The heterogeneity was explored using subgroup analysis and meta-regression analysis. Results: Overall, 22 eligible studies, consisting of 2,576 participants and 5,414 MRI reports, were included in this meta-analysis. The area under curve (AUC) of VI-RADS at cut-point values of 3 and 4 were 0.93 (95%CI: 0.91, 0.95), 0.93 (95%CI: 0.90, 0.95), respectively. Based on Youden's J statistic, the optimal VI-RADS cutoff value for predicting MIBC was determined as 3 which granted a pooled sensitivity of 89% (95%CI: 87%, 91%; I2=48%) and a specificity of 84% (95%CI: 80%, 87%; I2=90%). Based on meta-regression, the sources of inter-study heterogeneity for VI-RADS ≥ 3 were the sample size > 70, study design, single-center vs multi-center, patient population characteristics (i.e., gender, age), reference standard, histology, magnetic strength, T2WI slice thickness, and the number of radiologists reporting the MRI results (P value ≤ 0.01). Conclusion: The VI-RADS demonstrates consistently high diagnostic accuracy to predict MIBC. This scoring system could be applied in standard staging MRI reports of bladder cancer and can be incorporated into future MIBC work up guidelines.

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http://hdl.handle.net/10453/163255