Diagnostic accuracy of vesical imaging-reporting and data system (VI-RADS) for the detection of muscle-invasive bladder cancer: a meta-analysis

Abdom Radiol (NY). 2022 Apr;47(4):1396-1405. doi: 10.1007/s00261-022-03449-w. Epub 2022 Feb 18.

Abstract

Purpose: Vesical Imaging-Reporting and Data System (VI-RADS) was proposed and considered as a standardized reporting criterion for bladder magnetic resonance imaging (MRI). VI-RADS could suggest the likelihood of muscle invasion based on the multiparametric MRI (mp-MRI) findings which contain five-point scores. The current study is designed to comprehensively and systematically evaluate the diagnostic performance of VI-RADS (score 3 and 4) for predicting muscle invasion.

Methods: The Cochrane Library, Embase, and PubMed were searched comprehensively from inception to October 2021.

Results: Finally, 19 studies incorporating 2900 patients were enrolled. The pooled sensitivity and specificity of VI-RADS 3 for predicting muscle invasion were 0.92 (95%CI 0.89-0.94) and 0.82 (95%CI 0.76-0.87), respectively. The pooled sensitivity and specificity of VI-RADS 4 were 0.78 (95%CI 0.72-0.83) and 0.96 (95%CI 0.93-0.97), respectively. And the area under the curve (AUCs) of VI-RADS 3 and 4 were all 0.94 (95%CI 0.92-0.96). No significant publication biases were not observed for VI-RADS 3 (P = 0.74) and 4 (P = 0.57).

Conclusion: The VI-RADS reveals a good diagnostic performance for predicting muscle invasive in bladder cancer, which also has good clinical utilities and applicability. And VI-RADS 3 and 4 as cutoff values provide similar overall diagnostic and could be selectively applied individually. Prospective studies with a large scale are further required to validate the accuracy of the VI-RADS score.

Keywords: Bladder cancer; Magnetic resonance imaging; Meta-analysis; Muscle invasion; Vesical imaging-reporting and data system.

Publication types

  • Meta-Analysis

MeSH terms

  • Humans
  • Magnetic Resonance Imaging
  • Multiparametric Magnetic Resonance Imaging*
  • Muscles
  • Prospective Studies
  • Urinary Bladder
  • Urinary Bladder Neoplasms* / diagnostic imaging