Evidence map›Paper›PMID 32199915›Full record

SynthesisEuropean urology oncology2020

Diagnostic Performance of Vesical Imaging Reporting and Data System for the Prediction of Muscle-invasive Bladder Cancer: A Systematic Review and Meta-analysis.

Sungmin Woo, Valeria Panebianco, Yoshifumi Narumi, Francesco Del Giudice, Valdair F Muglia, Mitsuru Takeuchi, Soleen Ghafoor, Bernard H Bochner, Alvin C Goh, Hedvig Hricak and 2 more

Erratum issuedOpen access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in European urology oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 83 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 4 pooled it
23.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

83 citing papers in PubMed, 4 syntheses or guidelines pooled it, 164 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Pooled it
  5. Article
  6. Article
  7. Article
  8. Review
  9. What's next for VI-RADS? Updates and future perspectives from the ACR VI-RADS steering committee.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
    Review
  10. Observational
  11. Review
  12. Article
  13. Review
  14. [Innovative imaging techniques for urothelial carcinoma].Urologie (Heidelberg, Germany) · 2026
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

23 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 5 countries.

Sungmin WooDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Valeria PanebiancoDepartment of Radiological, Oncological and Anatomopathological Sciences, "Sapienza" Rome University, Policlinico Umberto I Hospital, Rome, Italy.
Yoshifumi NarumiDepartments of Radiology and Health Science, Kyoto Tachibana University, Kyoto, Japan.
Francesco Del GiudiceDepartment of Radiological, Oncological and Anatomopathological Sciences, "Sapienza" Rome University, Policlinico Umberto I Hospital, Rome, Italy.
Valdair F MugliaImaging Division, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto, Brazil.
Mitsuru TakeuchiDepartment of Radiology, Radiolonet Tokai, Nagoya, Japan.
Soleen GhafoorDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Bernard H BochnerUrology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Alvin C GohUrology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Hedvig HricakDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
James W F CattoAcademic Urology Unit, University of Sheffield, Sheffield, UK.
Hebert Alberto VargasDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA. Electronic address: vargasah@mskcc.org.
Memorial Sloan Kettering Cancer Center · USPoliclinico Umberto I · ITKyoto Tachibana University · JPUniversidade de São Paulo · BRUniversity of Sheffield · GB

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

contextA noninvasive multiparametric magnetic resonance imaging (MRI)-based scoring system for predicting muscle-invasive bladder cancer (MIBC), the "Vesical Imaging Reporting and Data System" (VI-RADS), was recently developed by an international multidisciplinary panel. Since then, a few studies evaluating the value of VI-RADS for predicting MIBC have been published.

objectiveTo review the diagnostic performance of VI-RADS for the prediction of MIBC. EVIDENCE ACQUISITION: PubMed and EMBASE databases were searched up to November 10, 2019. We included diagnostic accuracy studies using VI-RADS to predict MIBC using cystectomy or transurethral resection as the reference standard. Methodological quality was evaluated with Quality Assessment of Diagnostic Accuracy Studies-2. Sensitivity and specificity were pooled and plotted using hierarchical summary receiver operating characteristics (HSROC) modeling. Meta-regression analyses were done to explore heterogeneity. EVIDENCE SYNTHESIS: Six studies (1770 patients) were included. Pooled sensitivity and specificity were 0.83 (95% confidence interval [CI] 0.70-0.90) and 0.90 (95% CI 0.83-0.95), and the area under the HSROC curve was 0.94 (95% CI 0.91-0.95). Heterogeneity was present among the studies (Q = 29.442, p <  0.01; I

conclusionsVI-RADS shows good sensitivity and specificity for determining MIBC. Technical factors associated with MRI acquisition and cutoff scores need to be taken into consideration as they may affect performance. PATIENT SUMMARY: A recently established noninvasive magnetic resonance imaging-based scoring system shows good diagnostic performance in detecting muscle-invasive bladder cancer.

Indexed as

Multiparametric Magnetic Resonance ImagingData SystemsHumansNeoplasm InvasivenessPredictive Value of TestsReproducibility of ResultsUrinary Bladder NeoplasmsBladder cancerMagnetic resonance imagingMeta-analysisMuscle invasiveSystematic reviewVesical Imaging Reporting and Data System

Identifiers

PMID32199915
PMCPMC7293940
OpenAlexW3012438829

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.