Skip to main content
Top
Published in: European Radiology 8/2020

01-08-2020 | Magnetic Resonance Imaging | Magnetic Resonance

Use of Vesical Imaging-Reporting and Data System (VI-RADS) for detecting the muscle invasion of bladder cancer: a diagnostic meta-analysis

Authors: Cheng Luo, Bin Huang, Yukun Wu, Junxing Chen, Lingwu Chen

Published in: European Radiology | Issue 8/2020

Login to get access

Abstract

Objectives

To comprehensively assess the diagnostic performance of Vesical Imaging-Reporting and Data System (VI-RADS) score for detecting the muscle invasion of bladder cancer.

Methods

PubMed, Web of Science, and Embase were searched up to November 20, 2019. QUADAS-2 tool assessed the quality of included studies. The diagnostic estimates including sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and the area under the curve (AUC) of hierarchical summary receiver operating characteristic (HSROC) were calculated. Further subgroup analysis, meta-regression and sensitivity analysis were conducted.

Results

Six studies with 1064 patients were finally included. The pooled sensitivity, specificity, and AUC value were 0.90 (95% CI 0.86–0.94), 0.86 (95% CI 0.71–0.94), and 0.93 (95% CI 0.91–0.95) for VI-RADS 3 as the cutoff value. The corresponding estimates were 0.77 (95% CI 0.65–0.86), 0.97 (95% CI 0.88–0.99), and 0.92 (95% CI 0.89–0.94) for VI-RADS 4 as the cutoff value. Meta-regression analysis revealed that study design (p value 0.01) and surgical pattern of reference standard (p value 0.02) were source of the heterogeneity of pooled sensitivity. No publication bias was observed.

Conclusions

The VI-RADS score can provide a good predictive ability for detecting the muscle invasiveness of primary bladder cancer with VI-RADS 3 or VI-RADS 4 as the cutoff value.

Key Points

• VI-RADS score has high sensitivity and specificity for predicting muscle invasion.
• The diagnostic efficiencies of VI-RADS 3 and VI-RADS 4 as the cutoff value are similar.
• VI-RADS score could be used for detecting muscle invasion of bladder cancer in clinical practice.
Appendix
Available only for authorised users
Literature
1.
go back to reference Siegel RL, Miller KD, Jemal A (2019) Cancer statistics. CA Cancer J Clin 69:7–34PubMed Siegel RL, Miller KD, Jemal A (2019) Cancer statistics. CA Cancer J Clin 69:7–34PubMed
2.
go back to reference Witjes JA, Comperat E, Cowan NC et al (2014) EAU guidelines on muscle-invasive and metastatic bladder cancer: summary of the 2013 guidelines. Eur Urol 65:778–792 Witjes JA, Comperat E, Cowan NC et al (2014) EAU guidelines on muscle-invasive and metastatic bladder cancer: summary of the 2013 guidelines. Eur Urol 65:778–792
3.
go back to reference Babjuk M, Böhle A, Burger M et al (2017) EAU guidelines on non-muscle-invasive urothelial carcinoma of the bladder: update 2016. Eur Urol 71:447–461CrossRefPubMed Babjuk M, Böhle A, Burger M et al (2017) EAU guidelines on non-muscle-invasive urothelial carcinoma of the bladder: update 2016. Eur Urol 71:447–461CrossRefPubMed
4.
go back to reference Hollenbeck BK, Ye Z, Dunn RL, Montie JE, Birkmeyer JD (2009) Provider treatment intensity and outcomes for patients with early-stage bladder cancer. J Natl Cancer Inst 101:571–580 Hollenbeck BK, Ye Z, Dunn RL, Montie JE, Birkmeyer JD (2009) Provider treatment intensity and outcomes for patients with early-stage bladder cancer. J Natl Cancer Inst 101:571–580
5.
go back to reference Naselli A, Hurle R, Paparella S et al (2018) Role of restaging transurethral resection for T1 non-muscle invasive bladder cancer: a systematic review and meta-analysis. Eur Urol Focus 4:558–567CrossRefPubMed Naselli A, Hurle R, Paparella S et al (2018) Role of restaging transurethral resection for T1 non-muscle invasive bladder cancer: a systematic review and meta-analysis. Eur Urol Focus 4:558–567CrossRefPubMed
6.
go back to reference Babjuk M (2009) Transurethral resection of non-muscle-invasive bladder cancer. Eur Urol Suppl 8:542–548CrossRef Babjuk M (2009) Transurethral resection of non-muscle-invasive bladder cancer. Eur Urol Suppl 8:542–548CrossRef
7.
go back to reference Xu SS, Yao QY, Liu GQ et al (2019) Combining DWI radiomics features with transurethral resection promotes the differentiation between muscle-invasive bladder cancer and non-muscle-invasive bladder cancer. Eur Radiol 30:1804–1812 Xu SS, Yao QY, Liu GQ et al (2019) Combining DWI radiomics features with transurethral resection promotes the differentiation between muscle-invasive bladder cancer and non-muscle-invasive bladder cancer. Eur Radiol 30:1804–1812
8.
go back to reference Gandhi N, Krishna S, Booth CM et al (2018) Diagnostic accuracy of magnetic resonance imaging for tumour staging of bladder cancer: systematic review and meta-analysis. BJU Int 122:744–753CrossRefPubMed Gandhi N, Krishna S, Booth CM et al (2018) Diagnostic accuracy of magnetic resonance imaging for tumour staging of bladder cancer: systematic review and meta-analysis. BJU Int 122:744–753CrossRefPubMed
9.
go back to reference Zhou G, Chen X, Zhang J, Zhu J, Zong G, Wang Z (2014) Contrast-enhanced dynamic and diffusion-weighted MR imaging at 3.0T to assess aggressiveness of bladder cancer. Eur J Radiol 83:2013–2018 Zhou G, Chen X, Zhang J, Zhu J, Zong G, Wang Z (2014) Contrast-enhanced dynamic and diffusion-weighted MR imaging at 3.0T to assess aggressiveness of bladder cancer. Eur J Radiol 83:2013–2018
10.
go back to reference Wu LM, Chen XX, Xu JR et al (2013) Clinical value of T2-weighted imaging combined with diffusion-weighted imaging in preoperative T staging of urinary bladder cancer. Acad Radiol 20:939–946CrossRefPubMed Wu LM, Chen XX, Xu JR et al (2013) Clinical value of T2-weighted imaging combined with diffusion-weighted imaging in preoperative T staging of urinary bladder cancer. Acad Radiol 20:939–946CrossRefPubMed
11.
go back to reference Sevcenco S, Ponhold L, Heinz-Peer G et al (2014) Prospective evaluation of diffusion-weighted MRI of the bladder as a biomarker for prediction of bladder cancer aggressiveness. Urol Oncol 32:1166–1171CrossRefPubMed Sevcenco S, Ponhold L, Heinz-Peer G et al (2014) Prospective evaluation of diffusion-weighted MRI of the bladder as a biomarker for prediction of bladder cancer aggressiveness. Urol Oncol 32:1166–1171CrossRefPubMed
12.
go back to reference Panebianco V, Narumi Y, Altun E et al (2018) Multiparametric magnetic resonance imaging for bladder cancer: development of VI-RADS (VESICAL Imaging-Reporting and Data System). Eur Urol 74:294–306CrossRefPubMedPubMedCentral Panebianco V, Narumi Y, Altun E et al (2018) Multiparametric magnetic resonance imaging for bladder cancer: development of VI-RADS (VESICAL Imaging-Reporting and Data System). Eur Urol 74:294–306CrossRefPubMedPubMedCentral
13.
go back to reference Moher D, Liberati A, Tetzlaff J, Altman DG (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med 6:e1000097 Moher D, Liberati A, Tetzlaff J, Altman DG (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med 6:e1000097
14.
go back to reference Whiting PF, Rutjes AW, Westwood ME et al (2011) QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med 155:529–536CrossRefPubMed Whiting PF, Rutjes AW, Westwood ME et al (2011) QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med 155:529–536CrossRefPubMed
15.
go back to reference Reitsma JB, Glas AS, Rutjes AW, Scholten RJPM, Bossuyt PM, Zwinderman AH (2005) Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews. J Clin Epidemiol 58:982–990 Reitsma JB, Glas AS, Rutjes AW, Scholten RJPM, Bossuyt PM, Zwinderman AH (2005) Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews. J Clin Epidemiol 58:982–990
16.
go back to reference Rengucci C, De Maio G, Menghi M et al (2014) Improved stool DNA integrity method for early colorectal cancer diagnosis. Cancer Epidemiol Biomarkers Prev 23:2553–2560CrossRefPubMed Rengucci C, De Maio G, Menghi M et al (2014) Improved stool DNA integrity method for early colorectal cancer diagnosis. Cancer Epidemiol Biomarkers Prev 23:2553–2560CrossRefPubMed
17.
go back to reference Cho SJ, Suh CH, Baek JH, Chung SR, Choi YJ, Lee JH (2019) Diagnostic performance of CT in detection of metastatic cervical lymph nodes in patients with thyroid cancer: a systematic review and meta-analysis. Eur Radiol 29:4635–4647 Cho SJ, Suh CH, Baek JH, Chung SR, Choi YJ, Lee JH (2019) Diagnostic performance of CT in detection of metastatic cervical lymph nodes in patients with thyroid cancer: a systematic review and meta-analysis. Eur Radiol 29:4635–4647
18.
go back to reference Ueno Y, Takeuchi M, Tamada T et al (2019) Diagnostic accuracy and interobserver agreement for the Vesical Imaging-Reporting and Data System for muscle-invasive bladder cancer: a multireader validation study. Eur Urol 76:54–56CrossRefPubMed Ueno Y, Takeuchi M, Tamada T et al (2019) Diagnostic accuracy and interobserver agreement for the Vesical Imaging-Reporting and Data System for muscle-invasive bladder cancer: a multireader validation study. Eur Urol 76:54–56CrossRefPubMed
19.
go back to reference Wang H, Luo C, Zhang F et al (2019) Multiparametric MRI for bladder cancer: validation of VI-RADS for the detection of detrusor muscle invasion. Radiology 291:668–674CrossRefPubMed Wang H, Luo C, Zhang F et al (2019) Multiparametric MRI for bladder cancer: validation of VI-RADS for the detection of detrusor muscle invasion. Radiology 291:668–674CrossRefPubMed
20.
go back to reference Makboul M, Farghaly S, Abdelkawi I (2019) Multiparametric MRI in differentiation between muscle invasive and non-muscle invasive urinary bladder cancer with Vesical Imaging Reporting and Data System (VI-RADS) application. Br J Radiol 92:20190401 Makboul M, Farghaly S, Abdelkawi I (2019) Multiparametric MRI in differentiation between muscle invasive and non-muscle invasive urinary bladder cancer with Vesical Imaging Reporting and Data System (VI-RADS) application. Br J Radiol 92:20190401
21.
go back to reference Barchetti G, Simone G, Ceravolo I et al (2019) 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. Eur Radiol 29:5498–5506 Barchetti G, Simone G, Ceravolo I et al (2019) 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. Eur Radiol 29:5498–5506
22.
go back to reference Giudice FD, Barchetti G, Berardinis ED et al (2019) Prospective assessment of Vesical Imaging Reporting and Data System (VI-RADS) and its clinical impact on the management of high-risk non–muscle-invasive bladder cancer patients candidate for repeated transurethral resection. Eur Urol 77:101–109CrossRefPubMed Giudice FD, Barchetti G, Berardinis ED et al (2019) Prospective assessment of Vesical Imaging Reporting and Data System (VI-RADS) and its clinical impact on the management of high-risk non–muscle-invasive bladder cancer patients candidate for repeated transurethral resection. Eur Urol 77:101–109CrossRefPubMed
23.
go back to reference Kim SH (2019) Validation of Vesical Imaging Reporting and Data System for assessing muscle invasion in bladder tumor. Abdom Radiol (NY) 45:491–498 Kim SH (2019) Validation of Vesical Imaging Reporting and Data System for assessing muscle invasion in bladder tumor. Abdom Radiol (NY) 45:491–498
24.
go back to reference Lyon TD, Boorjian SA, Shah PH et al (2019) Comprehensive characterization of perioperative reoperation following radical cystectomy. Urol Oncol 37:292.e11–292.e17CrossRef Lyon TD, Boorjian SA, Shah PH et al (2019) Comprehensive characterization of perioperative reoperation following radical cystectomy. Urol Oncol 37:292.e11–292.e17CrossRef
25.
go back to reference Winters BR, Wright JL, Holt SK, Dash A, Gore JL, Schade GR (2017) Health related quality of life following radical cystectomy: comparative analysis from the Medicare Health Outcomes Study. J Urol 199:669–675 Winters BR, Wright JL, Holt SK, Dash A, Gore JL, Schade GR (2017) Health related quality of life following radical cystectomy: comparative analysis from the Medicare Health Outcomes Study. J Urol 199:669–675
26.
go back to reference Jack C, Nathan P, Marlon P et al (2018) Comparative sensitivity and specificity of imaging modalities in staging bladder cancer prior to radical cystectomy: a systematic review and meta-analysis. World J Urol 37:667–690 Jack C, Nathan P, Marlon P et al (2018) Comparative sensitivity and specificity of imaging modalities in staging bladder cancer prior to radical cystectomy: a systematic review and meta-analysis. World J Urol 37:667–690
27.
go back to reference Woo S, Suh CH, Kim SY, Cho JY, Kim SH (2017) Diagnostic performance of MRI for prediction of muscle-invasiveness of bladder cancer: a systematic review and meta-analysis. Eur J Radiol 95:46–55 Woo S, Suh CH, Kim SY, Cho JY, Kim SH (2017) Diagnostic performance of MRI for prediction of muscle-invasiveness of bladder cancer: a systematic review and meta-analysis. Eur J Radiol 95:46–55
28.
go back to reference Zhang NK, Wang XY, Wang CY et al (2019) Diagnostic accuracy of multi-parametric magnetic resonance imaging for tumor staging of bladder cancer: meta-analysis. Front Oncol 9:981 Zhang NK, Wang XY, Wang CY et al (2019) Diagnostic accuracy of multi-parametric magnetic resonance imaging for tumor staging of bladder cancer: meta-analysis. Front Oncol 9:981
29.
go back to reference Takeuchi M, Sasaki S, Ito M et al (2009) Urinary bladder cancer: diffusion- weighted MR imaging-accuracy for diagnosing T stage and estimating histologic grade. Radiology 251:112–121CrossRefPubMed Takeuchi M, Sasaki S, Ito M et al (2009) Urinary bladder cancer: diffusion- weighted MR imaging-accuracy for diagnosing T stage and estimating histologic grade. Radiology 251:112–121CrossRefPubMed
30.
go back to reference Kulkarni GS, Hakenberg OW, Gschwend JE et al (2010) An updated critical analysis of the treatment strategy for newly diagnosed high-grade T1 (previously T1G3) bladder cancer. Eur Urol 57:60–70CrossRefPubMed Kulkarni GS, Hakenberg OW, Gschwend JE et al (2010) An updated critical analysis of the treatment strategy for newly diagnosed high-grade T1 (previously T1G3) bladder cancer. Eur Urol 57:60–70CrossRefPubMed
Metadata
Title
Use of Vesical Imaging-Reporting and Data System (VI-RADS) for detecting the muscle invasion of bladder cancer: a diagnostic meta-analysis
Authors
Cheng Luo
Bin Huang
Yukun Wu
Junxing Chen
Lingwu Chen
Publication date
01-08-2020
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 8/2020
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-020-06802-z

Other articles of this Issue 8/2020

European Radiology 8/2020 Go to the issue