Evidence map›Paper›PMID 35294583›Full record

SynthesisWorld journal of urology2022

The accuracy of Vesical Imaging-Reporting and Data System (VI-RADS): an updated comprehensive multi-institutional, multi-readers systematic review and meta-analysis from diagnostic evidence into future clinical recommendations.

Francesco Del Giudice, Rocco Simone Flammia, Martina Pecoraro, Marco Moschini, David D'Andrea, Emanuele Messina, Lucia Martina Pisciotti, Ettore De Berardinis, Alessandro Sciarra, Valeria Panebianco

Registry-linked trialOpen access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in World journal of urology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05783271 (Validity of Parametric MRI Using VIRAD Scoring in the Diagnosis of Cancer Bladder), which is not on this map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
18.1field-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.

NCT05783271 narecruitingnot on this mapstarted 2025, after this paper: background citation

Validity of Parametric MRI Using VIRAD Scoring in the Diagnosis of Cancer Bladder

TypeinterventionalSponsorAssiut UniversityRan2025 to 2026Enrolled58ConditionsBladder CancerArmsGadolinium
3 · Its place in the literature

Who cites it

52 citing papers in PubMed, 1 synthesis or guideline pooled it, 88 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Image directed redesign of bladder cancer treatment pathways: the BladderPath RCT.Health technology assessment (Winchester, England) · 2024
    Trial
  4. Article
  5. Current Status and Future Perspective for Bladder Cancer MR Imaging and the Vesical Imaging-Reporting and Data System (VI-RADS) in Japan: Challenges and Solutions.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026
    Review
  6. Review
  7. Review
  8. 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
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 3 countries.

Francesco Del GiudiceDepartment of Maternal Infant and Urologic Sciences, "Sapienza" University of Rome, Policlinico Umberto I Hospital, Viale del Policlinico 155, Rome, 00161, Italy.ORCID http://orcid.org/0000-0003-3865-5988
Rocco Simone FlammiaDepartment of Maternal Infant and Urologic Sciences, "Sapienza" University of Rome, Policlinico Umberto I Hospital, Viale del Policlinico 155, Rome, 00161, Italy.
Martina PecoraroDepartment of Radiological Sciences, Oncology and Pathology, Policlinico Umberto I Hospital, "Sapienza" University/Policlinico Umberto I of Rome, Viale del Policlinico 155, 00161, Rome, Italy.
Marco MoschiniDepartment of Urology and Division of Experimental Oncology, Urological Research Institute, Vita-Salute San Raffaele University, Milan, Italy.
David D'AndreaDepartment of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna General Hospital, Vienna, Austria.
Emanuele MessinaDepartment of Radiological Sciences, Oncology and Pathology, Policlinico Umberto I Hospital, "Sapienza" University/Policlinico Umberto I of Rome, Viale del Policlinico 155, 00161, Rome, Italy.
Lucia Martina PisciottiDepartment of Radiological Sciences, Oncology and Pathology, Policlinico Umberto I Hospital, "Sapienza" University/Policlinico Umberto I of Rome, Viale del Policlinico 155, 00161, Rome, Italy.
Ettore De BerardinisDepartment of Maternal Infant and Urologic Sciences, "Sapienza" University of Rome, Policlinico Umberto I Hospital, Viale del Policlinico 155, Rome, 00161, Italy.
Alessandro SciarraDepartment of Maternal Infant and Urologic Sciences, "Sapienza" University of Rome, Policlinico Umberto I Hospital, Viale del Policlinico 155, Rome, 00161, Italy.
Valeria PanebiancoDepartment of Radiological Sciences, Oncology and Pathology, Policlinico Umberto I Hospital, "Sapienza" University/Policlinico Umberto I of Rome, Viale del Policlinico 155, 00161, Rome, Italy. valeria.panebianco@uniroma1.it.
Policlinico Umberto I · ITVienna General Hospital · ATVita-Salute San Raffaele University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine through a comprehensive systematic review and meta-analysis the cumulative diagnostic performance of vesical imaging-reporting and data system (VIRADS) to predict preoperative muscle-invasiveness among different institutions, readers, and optimal scoring accuracy thresholds.

methodsPubMed, Cochrane and Embase were searched from inception up to May 2021. Sensitivity (Sn), Specificity (Sp) were first estimated and subsequently pooled using hierarchical summary receiver operating characteristics (HSROC) modeling for both cut-off ≥ 3 and ≥ 4 to predict muscle-invasive bladder cancer (MIBC). Further sensitivity analysis, subgroup analysis and meta-regression were conducted to investigate contribution of moderators to heterogeneity.

resultsIn total, n = 20 studies from 2019 to 2021 with n = 2477 patients by n = 53 genitourinary radiologists met the inclusion criteria. Pooled weighted Sn and Sp were 0.87 (95% CI 0.82-0.91) and 0.86 (95% CI 0.80-0.90) for cut-off ≥ 3 while 0.78 (95% CI 0.74-0.81) and 0.94 (95% CI 0.91-0.96) for cut-off ≥ 4. The area under the HSROC curve was 0.93 (95% CI 0.90-0.95) and 0.91 (95% CI 0.88-0.93) for cut-off ≥ 3 and ≥ 4, respectively. Meta-regression analyses showed no influence of clinical characteristics nor cumulative reader's experience while study design and radiological characteristics were found to influence the estimated outcome.

conclusionWe demonstrated excellent worldwide diagnostic performance of VI-RADS to determine pre-trans urethral resection of bladder tumor (TURBT) staging. Our findings corroborate wide reliability of VI-RADS accuracy also between different centers with varying experience underling the importance that standardization and reproducibility of VI-RADS may confer to multiparametric magnetic resonance imaging (mpMRI) for preoperative BCa discrimination.

Indexed as

Multiparametric Magnetic Resonance ImagingUrinary Bladder NeoplasmsData SystemsHumansMagnetic Resonance ImagingReproducibility of ResultsUrinary BladderBladder cancerBladder cancer stagingMultiparametric magnetic resonance imagingMuscle-invasive bladder cancer

Identifiers

PMID35294583
PMCPMC9237003
OpenAlexW4220666944

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.