Skip to main content

Advertisement

Log in

Clinical utility of the Vesical Imaging-Reporting and Data System for muscle-invasive bladder cancer between radiologists and urologists based on multiparametric MRI including 3D FSE T2-weighted acquisitions

  • Urogenital
  • Published:
European Radiology Aims and scope Submit manuscript

Abstract

Objectives

To investigate the clinical utility of the Vesical Imaging-Reporting and Data System (VI-RADS) by comparing its diagnostic performance for muscle-invasive bladder cancer (MIBC) between radiologists and urologists based on multiparametric MRI, including three-dimensional (3D) fast spin-echo (FSE) T2-weighted acquisitions.

Methods

This study included 66 treatment-naïve patients (60 men, 6 women; mean age 74.0 years) with pathologically proven bladder cancer who underwent multiparametric MRI, including 3D FSE T2-weighted imaging, before transurethral bladder tumour resection between January 2010 and November 2018. The MRI scans were categorised according to the five-point VI-RADS score by four independent readers (two board-certified radiologists and board-certified urologists each), blinded to the histopathological findings. The VI-RADS scores were compared with the postoperative histopathological diagnosis. Interobserver agreement was assessed using weighted kappa coefficients. ROC analysis and generalised estimating equations were used to evaluate the diagnostic performance.

Results

Forty-nine (74.2%) and 17 (25.8%) tumours were confirmed to be non-MIBC and MIBC, respectively, based on pathological examination. The interobserver agreement was good-to-excellent between all pairs of readers (range, 0.73–0.91). The urologists’ sensitivity/specificity values for DCE-MRI VI-RADS scores were significantly lower than those of radiologists. No significant differences were observed for the overall VI-RADS score. The AUC for the overall VI-RADS score was 0.94, 0.92, 0.89, and 0.87 for radiologists 1 and 2 and urologists 1 and 2, respectively.

Conclusions

The VI-RADS score, based on multiparametric MRI including 3D FSE T2-weighted acquisitions, can be useful for radiologists and urologists to determine the bladder cancer muscle invasion status preoperatively.

Key Points

VI-RADS (using multiparametric MRI including 3D FSE T2-weighted acquisitions) achieves good to excellent interobserver agreement and has similar diagnostic performance for detecting muscle invasion by both radiologists and urologists.

The diagnostic performance of the overall VI-RADS score is high for both radiologists and urologists, particularly due to the dominant effect of diffusion-weighted imaging on the overall VI-RADS score.

The sensitivity and specificity values of the T2WI VI-RADS scores for four readers in our study (using 3D FSE T2-weighted acquisitions) were similar (with slightly higher specificity values) to previously published results (using 2D FSE T2-weighted acquisitions).

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Abbreviations

BCa:

Bladder cancer

EAU:

European Association of Urology

FSE:

Fast spin echo

MIBC:

Muscle-invasive bladder cancer

Mp-MRI:

Multiparametric MRI

NMIBC:

Non-muscle-invasive bladder cancer

SI:

Signal intensity

T2WI:

T2-weighted imaging

TURBT:

Transurethral resection of bladder tumour

VI-RADS:

Vesical Imaging-Reporting and Data System

References

  1. Antoni S, Ferlay J, Soerjomataram I, Znaor A, Jemal A, Bray F (2017) Bladder cancer incidence and mortality: a global overview and recent trends. Eur Urol 71:96–108

    Article  Google Scholar 

  2. Babjuk M, Böhle A, Burger M et al (2017) EAU guidelines on non-muscle-invasive urothelial carcinoma of the bladder: update 2016. Eur Urol 71:447–461

    Article  Google Scholar 

  3. Alfred Witjes J, Lebret T, Compérat EM et al (2017) Updated 2016 EAU guidelines on muscle-invasive and metastatic bladder cancer. Eur Urol 71:462–475

    Article  CAS  Google Scholar 

  4. Paner GP, Montironi R, Amin MB (2017) Challenges in pathologic staging of bladder cancer: proposals for fresh approaches of assessing pathologic stage in light of recent studies and observations pertaining to bladder histoanatomic variances. Adv Anat Pathol 24:113–127

    Article  Google Scholar 

  5. Tritschler S, Mosler C, Straub J et al (2012) Staging of muscle-invasive bladder cancer: can computerized tomography help us to decide on local treatment? World J Urol 30:827–831

    Article  Google Scholar 

  6. Tekes A, Kamel I, Imam K et al (2005) Dynamic MRI of bladder cancer: evaluation of staging accuracy. AJR Am J Roentgenol 184:121–127

    Article  Google Scholar 

  7. 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 251:112–121

    Article  Google Scholar 

  8. Panebianco V, De Berardinis E, Barchetti G et al (2017) An evaluation of morphological and functional multi-parametric MRI sequences in classifying non-muscle and muscle invasive bladder cancer. Eur Radiol 27:3759–3766

    Article  Google Scholar 

  9. Panebianco V, Barchetti F, de Haas RJ et al (2016) Improving staging in bladder cancer: the increasing role of multiparametric magnetic resonance imaging. Eur Urol Focus 2:113–121

    Article  Google Scholar 

  10. Huang L, Kong Q, Liu Z, Wang J, Kang Z, Zhu Y (2018) The diagnostic value of MR imaging in differentiating T staging of bladder cancer: a meta-analysis. Radiology 286:502–511

    Article  Google Scholar 

  11. 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 74:294–306

    Article  Google Scholar 

  12. 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 76:54–56

    Article  Google Scholar 

  13. Del Giudice F, Barchetti G, De Berardinis E et al (2020) 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 77:101–109

    Article  Google Scholar 

  14. Lim KK, Noe G, Hornsey E et al (2014) Clinical applications of 3D T2-weighted MRI in pelvic imaging. Abdom Imaging 39:1052–1062

    Article  Google Scholar 

  15. Soukup V, Čapoun O, Cohen D et al (2017) Prognostic performance and reproducibility of the 1973 and 2004/2016 World Health Organization grading classification systems in non-muscle-invasive bladder cancer: a European Association of Urology Non-muscle Invasive Bladder Cancer guidelines panel systematic review. Eur Urol 72:801–813

    Article  Google Scholar 

  16. 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

    Article  Google Scholar 

  17. 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 291:668–674

    Article  Google Scholar 

  18. Luo C, Huang B, Wu Y, Chen J, Chen L (2020) Use of Vesical Imaging-Reporting and Data System (VI-RADS) for detecting the muscle invasion of bladder cancer: a diagnostic meta-analysis. Eur Radiol. https://doi.org/10.1007/s00330-020-06802-z

  19. Watanabe H, Kanematsu M, Kondo H et al (2009) Preoperative T staging of urinary bladder cancer: does diffusion-weighted MRI have supplementary value? AJR Am J Roentgenol 192:1361–1366

    Article  Google Scholar 

  20. Wang HJ, Pui MH, Guo Y et al (2015) Multiparametric 3-T MRI for differentiating low versus high-grade and category T1 versus T2 bladder urothelial carcinoma. AJR Am J Roentgenol 204:330–334

    Article  Google Scholar 

  21. El-Assmy A, Abou-El-Ghar ME, Mosbah A et al (2009) Bladder tumour staging: comparison of diffusion- and T2-weighted MR imaging. Eur Radiol 19:1575–1581

    Article  Google Scholar 

  22. Yamada Y, Kobayashi S, Isoshima S, Arima K, Sakuma H, Sugimura Y (2014) The usefulness of diffusion-weighted magnetic resonance imaging in bladder cancer staging and functional analysis. J Cancer Res Ther 10:878–882

    Article  Google Scholar 

  23. Ohgiya Y, Suyama J, Sai S et al (2014) Preoperative T staging of urinary bladder cancer: efficacy of stalk detection and diagnostic performance of diffusion-weighted imaging at 3T. Magn Reson Med Sci 13:175–181

    Article  Google Scholar 

  24. Gupta N, Sureka B, Kumar MM, Malik A, Bhushan TB, Mohanty NK (2015) Comparison of dynamic contrast-enhanced and diffusion weighted magnetic resonance image in staging and grading of carcinoma bladder with histopathological correlation. Urol Ann 7:199–204

    Article  Google Scholar 

  25. Lee M, Shin SJ, Oh YT et al (2017) Non-contrast magnetic resonance imaging for bladder cancer: fused high b value diffusion-weighted imaging and T2-weighted imaging helps evaluate depth of invasion. Eur Radiol 27:3752–3758

    Article  Google Scholar 

  26. Wang F, Chen HG, Zhang RY et al (2019) Diffusion kurtosis imaging to assess correlations with clinicopathologic factors for bladder cancer: a comparison between the multi-b value method and the tensor method. Eur Radiol 29:4447–4455

    Article  Google Scholar 

  27. Xu S, Yao Q, Liu G et al (2020) 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

    Article  Google Scholar 

  28. Lin P, Wen DY, Chen L et al (2020) A radiogenomics signature for predicting the clinical outcome of bladder urothelial carcinoma. Eur Radiol 30:547–557

    Article  Google Scholar 

  29. Yajima S, Yoshida S, Takahara T et al (2019) Usefulness of the inchworm sign on DWI for predicting pT1 bladder cancer progression. Eur Radiol 29:3881–3888

    Article  Google Scholar 

Download references

Acknowledgments

The authors thank Dr. Kei Miyahira, Dr. Yuki Iwaita, Mr. Yoshinobu Nunokawa, Ms. Sari Motomatsu, and Mr. Hayato Ogawa for their help with data collection.

Funding

The authors state that this work has not received any funding.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Masahiro Jinzaki.

Ethics declarations

Guarantor

The scientific guarantor of this publication is Dr. Masahiro Jinzaki.

Conflict of interest

The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.

Statistics and biometry

Mr. Ryota Ishii, who is one of the authors, has significant statistical expertise.

Informed consent

Written informed consent was waved by the Institutional Review Board due to the retrospective nature of this study.

Ethical approval

Institutional Review Board approval was obtained.

Methodology

• retrospective

• diagnostic study

• performed at one institution

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

ESM 1

(DOCX 28 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Arita, Y., Shigeta, K., Akita, H. et al. Clinical utility of the Vesical Imaging-Reporting and Data System for muscle-invasive bladder cancer between radiologists and urologists based on multiparametric MRI including 3D FSE T2-weighted acquisitions. Eur Radiol 31, 875–883 (2021). https://doi.org/10.1007/s00330-020-07153-5

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00330-020-07153-5

Keywords

Navigation