Evidence map›Paper›PMID 37438641›Full record

ArticleEuropean radiology2023

Tumor contact length with bladder wall provides effective risk stratification for lesions with a VIRADS score of 2-3.

Hyungwoo Ahn, Taek Min Kim, Sung Il Hwang, Hak Jong Lee, Gheeyoung Choe, Sung Kyu Hong, Seok-Soo Byun, Jong Jin Oh

Abstract read
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In one paragraph

Article in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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
  5. 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
  6. Article
  7. Article
  8. Article
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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

8 authors at 2 institutions in 1 country.

Hyungwoo AhnDepartment of Radiology, Seoul National University Bundang Hospital, Seongnam, Korea. iahnhyungwoo@gmail.com.ORCID http://orcid.org/0000-0003-3266-6176
Taek Min KimDepartment of Radiology, Seoul National University Hospital, Seoul, Korea.
Sung Il HwangDepartment of Radiology, Seoul National University Bundang Hospital, Seongnam, Korea.
Hak Jong LeeDepartment of Radiology, Seoul National University Bundang Hospital, Seongnam, Korea.
Gheeyoung ChoeDepartment of Pathology, Seoul National University Bundang Hospital, Seongnam, Korea.
Sung Kyu HongDepartment of Urology, Seoul National University Bundang Hospital, Seongnam, Korea.
Seok-Soo ByunDepartment of Urology, Seoul National University Bundang Hospital, Seongnam, Korea.
Jong Jin OhDepartment of Urology, Seoul National University Bundang Hospital, Seongnam, Korea.
Seoul National University Bundang Hospital · KRSeoul National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the diagnostic performance of the tumor contact length (TCL) in the prediction of MIBC (muscle-invasive bladder cancer) in lesions corresponding to the vesical imaging-reporting and data system (VIRADS) score 2-3.

methodsThis is a single institution, retrospective study targeting 191 consecutive patients assigned of VIRADS score 2-3, who had pre-transurethral resection MRI from July 2019 to September 2021. Logistic regression analyses were performed to determine meaningful predictors of MIBC for this score group, and a nomogram was plotted with those variables. The diagnostic performance of each predictor was compared at predefined thresholds (VIRADS score 3 and TCL 3 cm) using the generalized linear model and ROC analysis.

resultsBoth VIRADS score and TCL remained independent predictors of MIBC for this score group (odds ratio 7.3 for VIRADS score, and 1.3 for TCL, p < 0.01 for both). The contribution of TCL to the probability of MIBC in the nomogram was greater than that of the VIRADS score. VIRADS score had a sensitivity of 0.54 (14/26), specificity of 0.92 (203/221), and diagnostic accuracy of 0.88 (217/247), and TCL showed a sensitivity of 0.89 (23/26), specificity of 0.95 (209/221), and diagnostic accuracy of 0.94 (232/247). The difference in sensitivity (p = 0.03) and accuracy (p = 0.04) was statistically significant. The AUC was also significantly wider for TCL than for VIRADS (0.97 vs. 0.73, p < 0.01).

conclusionA simple index, TCL, may be helpful in further risk stratification for MIBC in patients with a score of VIRADS 2-3. CLINICAL RELEVANCE STATEMENT: For bladder cancer patients with insufficient qualitative evidence of muscle layer invasion using VIRADS categorization, TCL, a simple quantitative indicator defined as the curvilinear contact length between the bladder wall and the tumor, may be helpful in risk stratification. KEY POINTS: • Even when only lesions with score 2-3 were targeted, VIRADS was still a meaningful indicator of MIBC. • With a predefined threshold of 3 cm applied, TCL outperformed VIRADS in the score 2-3 group, in predicting MIBC. • A longer TCL for a lesion with a VIRADS score 2 may warrant an additional warning for MIBC, whereas a shorter TCL for a lesion with a score 3 may indicate a lower risk of MIBC.

Indexed as

Urinary BladderUrinary Bladder NeoplasmsHumansNeoplasm InvasivenessNeoplasm StagingRetrospective StudiesRisk AssessmentBiomarkersMultiparametric magnetic resonance imagingNeoplasm stagingUrinary bladder neoplasms

Identifiers

PMID37438641
OpenAlexW4384072442

What OpenQuestion holds

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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.