Evidence map›Paper›PMID 39990069›Full record

ArticleAsian journal of urology2025

Evaluating the concordance between Vesical Imaging Reporting and Data System scores and bladder tumor histopathology.

Hasan Gungor, Ahmet Camtosun, Ibrahim Topcu, Leyla Karaca

Abstract read
In one paragraph

Article in Asian journal of urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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

4 authors.

Hasan GungorDepartment of Urology, Gaziantep City Hospital, Gaziantep, Turkey.
Ahmet CamtosunDepartment of Urology, Inonu University Faculty of Medicine, Malatya, Turkey.
Ibrahim TopcuDepartment of Urology, Inonu University Faculty of Medicine, Malatya, Turkey.
Leyla KaracaDepartment of Radiology, Inonu University Faculty of Medicine, Malatya, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to assess the local staging of bladder tumors in patients utilizing preoperative multiparametric MRI (mpMRI) and to demonstrate the clinical efficacy of this method through a comparative analysis with corresponding histopathological findings. Methods: Between November 2020 and April 2022, 63 patients with a planned cystoscopy and a preliminary or previous diagnosis of bladder tumor were included. All participants underwent mpMRI, and Vesical Imaging Reporting and Data System (VI-RADS) criteria were applied to assess the recorded images. Subsequently, obtained biopsies were histopathologically examined and compared with radiological findings. Results: Of the 63 participants, 60 were male, and three were female. Categorizing tumors with a VI-RADS score of >3 as muscle invasive, 84% were radiologically classified as having an invasive bladder tumor. However, histopathological results indicated invasive bladder tumors in 52% of cases. Sensitivity of the VI-RADS score was 100%; specificity was 23%; the negative predictive value was 100%; and the positive predictive value was 62%. Conclusion: The scoring system obtained through mpMRI, VI-RADS, proves to be a successful method, particularly in determining the absence of muscle invasion in bladder cancer. Its efficacy in detecting muscle invasion in bladder tumors could be further enhanced with additional studies, suggesting potential for increased diagnostic efficiency through ongoing research. The VI-RADS could enhance the selection of patients eligible for accurate diagnosis and treatment.

Indexed as

Bladder tumorMultiparametricMuscle invasionVesical Imaging Reporting and Data System

Identifiers

PMID39990069
PMCPMC11840306

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Registered trials

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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.