Evidence map›Paper›PMID 40100278›Full record

ArticleAbdominal radiology (New York)2025

Predicting variant histology in bladder cancer: the role of multiparametric MRI and vesical imaging-reporting and data system (VI-RADS).

Serdar Aslan, Merve Nur Tasdemir, Ertugrul Cakir, Ural Oguz, Birgul Tok

Abstract read
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Article in Abdominal radiology (New York), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. [Innovative imaging techniques for urothelial carcinoma].Urologie (Heidelberg, Germany) · 2026
    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

5 authors.

Serdar AslanDepartment of Radiology, Faculty of Medicine, Giresun University, Giresun, Turkey. serdaraslan28@hotmail.com.ORCID 0000-0003-2950-8767
Merve Nur TasdemirDepartment of Radiology, Faculty of Medicine, Giresun University, Giresun, Turkey.ORCID 0000-0003-1028-8135
Ertugrul CakirDepartment of Radiology, Faculty of Medicine, Giresun University, Giresun, Turkey.ORCID 0000-0002-8057-1262
Ural OguzDepartment of Urology, Faculty of Medicine, Giresun University, Giresun, Turkey.ORCID 0000-0003-0652-7957
Birgul TokDepartment of Pathology, Faculty of Medicine, Giresun University, Giresun, Turkey.ORCID 0000-0002-2721-7213

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectives(1) To evaluate the diagnostic performance of the VI-RADS score in detecting muscle invasion in variant urothelial carcinomas (VUC). (2) To identify spesific MRI features that may serve as predicting for VUC.

methodsTwo hundred four patients who underwent TUR-B and/or radical cystectomy and a bladder mpMRI scan within three months prior to the procedure were retrospectively enrolled. The tumors were divided into two histological cohorts: pure urothelial carcinoma (PUC) and VUC. Various MRI features, including largest tumor diameter, long-to-short axis ratio, morphology, heterogeneous signal intensity (SI), presence of necrosis, and normalized ADC (ADC

resultsOur study identified several MRI features significantly associated with VUC, including heterogeneous SI on T2-weighted images (OR: 3.055; 95% CI: 1.312-7.112; p < 0.001), dynamic contrast enhancement images (OR: 2.935; 95% CI: 1.263-6.821; p < 0.001), and the presence of necrosis (OR: 3.575; 95% CI: 1.798-7.107; p < 0.001). Additionally, ADC

conclusionVI-RADS score can be used with high performance to detect muscle invasion in VUC, regardless of reader experience. Additionally, specific MRI features such as heterogeneous SI, the presence of necrosis, and ADC

Indexed as

Carcinoma, Transitional CellMagnetic Resonance ImagingMultiparametric Magnetic Resonance ImagingUrinary Bladder NeoplasmsAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedNeoplasm InvasivenessRadiology Information SystemsRetrospective StudiesSensitivity and SpecificityBladder cancerMagnetic resonance imagingNecrosisSignal intensity heterogeneityVariant histologyVI-RADS

Identifiers

PMID40100278
PMCPMC12454477

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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.