Evidence map›Paper›PMID 33029409›Full record

ReviewArab journal of urology2020

The effectiveness of multiparametric magnetic resonance imaging in bladder cancer (Vesical Imaging-Reporting and Data System): A systematic review.

Roberto Carando, Luca Afferi, Giancarlo Marra, Wojciech Krajewski, Vincenzo Pagliarulo, Mohammad Abufaraj, Evanguelos Xylinas, Xavier Cathelineau, Rafael Sanchez-Salas, Marco Moschini

Open access · diamondAbstract readReview
In one paragraph

Review in Arab journal of urology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

5 citing papers in PubMed, 17 citations in OpenAlex.

  1. Advances in the management of localized bladder cancers.Nature reviews. Clinical oncology · 2026
    Review
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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 8 institutions in 5 countries.

Roberto CarandoDepartment of Urology, Clinica Luganese Moncucco, Lugano, Switzerland.
Luca AfferiDepartment of Urology, Luzerner Kantonsspital, Spitalstrasse, Luzern, Switzerland.
Giancarlo MarraDivision of Urology, Department of Surgical Sciences, University of Studies of Torino, Turin, Italy.
Wojciech KrajewskiDepartment of Urology and Oncologic Urology, Wrocław Medical University, Wroclaw, Poland.
Vincenzo PagliaruloDepartment of Urology, University "Aldo Moro", Bari, Italy.
Mohammad AbufarajDivision of Urology, Department of Special Surgery, The University of Jordan, Amman, Jordan.ORCID https://orcid.org/0000-0002-6603-6319
Evanguelos XylinasDepartment of Urology Bichat Hospital, Paris Descartes University, Paris, France.
Xavier CathelineauDepartment of Urology, Institut Mutualiste Montsouris and Université Paris Descartes, Paris, France.
Rafael Sanchez-SalasDepartment of Urology, Institut Mutualiste Montsouris and Université Paris Descartes, Paris, France.
Marco MoschiniDepartment of Urology, Luzerner Kantonsspital, Spitalstrasse, Luzern, Switzerland.ORCID https://orcid.org/0000-0002-3084-2458
Luzerner Kantonsspital · CHUniversité Paris Cité · FR5T Torino (Italy) · ITDélégation Paris 5 · FRSwiss Paediatric Oncology Group · CHUniversity of Bari Aldo Moro · ITUniversity of Jordan · JOWroclaw Medical University · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the role of the Vesical Imaging-Reporting and Data System (VI-RADS) score in the diagnostic pathway of bladder cancer.

methodsA systemic search of the contemporary literature was performed in December 2019 using the Medical Literature Analysis and Retrieval System Online (MEDLINE), the Excerpta Medica dataBASE (EMBASE), and Web of Science databases focussing on all available articles on VI-RADS.

resultsOverall, six of 15 articles were included. All the available articles evaluated the ability of radiologists to use the VI-RADS score for discriminating non-muscle-invasive bladder cancer (NMIBC) from muscle-invasive bladder cancer (MIBC). Considering a cut-off VI-RADS score of >2, the sensitivity, specificity, positive (PPV) and negative predictive value (NPV) were 78-91.9%, 85-91%.1, 69-78%, and 88-97.1%, respectively. Considering a VI-RADS score cut-off of >3, the sensitivity, specificity, PPV and NPV were 77-94.6%, 43.9-96.5%, 51.6-86%, and 63.7-93%, respectively. Good interobserver agreement was demonstrated in the evaluated studies with a κ score of 0.73-0.89. Only one study evaluated the utility of VI-RADS in determining the presence of MIBC in patients treated with transurethral resection of the bladder diagnosed with high-grade T1 before the second transurethral resection using a VI-RADS score cut-off of >2; the sensitivity, specificity, PPV and NPV were 85%, 93.6%, 74.5%, and 96.6%, respectively.

conclusionThe VI-RADS score, using multiparametric magnetic resonance imaging, showed excellent results in discriminating MIBC from NMIBC. Preliminary results have been reported for its use in patients with high-grade T1 bladder cancer. These results need to be validated in high-quality real-world settings. ABBREVIATIONS: DCE: dynamic contrast enhancement; DWI: diffusion-weighted imaging; (N)MIBC: (non-)muscle-invasive bladder cancer; mpMRI: multiparametric MRI; TURBT: transurethral resection of bladder tumour; (N)(P)PV: (negative) (positive) predictive value; SC: structural category; T2W: T2-weighted; VI-RADS: vesical imaging-reporting and data system.

Indexed as

muscle-invasive bladder cancerRadical cystectomyurothelial carcinomaVI-RADS

Identifiers

PMID33029409
PMCPMC7473244
OpenAlexW3009778614

What OpenQuestion holds

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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.