Evidence map›Paper›PMID 41091212›Full record

ArticleWorld journal of urology2025

Can bladder MRI avoid systematic second TURBT for patients with high-risk NMIBC?

Louis Gobinet, Clément Klein, Serge Brunelle, Mathias Illy, Gwenaelle Gravis, Jochen Walz, Nicolas Branger, Geraldine Pignot

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Article in World journal of urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Louis GobinetUrology Department, CHU Bordeaux, Bordeaux, 33000, France. louis.gobinet@chu-bordeaux.fr.
Clément KleinUrology Department, CHU Bordeaux, Bordeaux, 33000, France.
Serge BrunelleRadiology Department, Institut Paoli-Calmettes, Marseille, 13009, France.
Mathias IllyRadiology Department, Institut Paoli-Calmettes, Marseille, 13009, France.
Gwenaelle GravisMedical Oncology Department, Institut Paoli-Calmettes, Marseille, 13009, France.
Jochen WalzDepartment of Surgical Oncology 2, Institut Paoli-Calmettes, Marseille, 13009, France.
Nicolas BrangerDepartment of Surgical Oncology 2, Institut Paoli-Calmettes, Marseille, 13009, France.
Geraldine PignotDepartment of Surgical Oncology 2, Institut Paoli-Calmettes, Marseille, 13009, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesRepeat transurethral resection of bladder tumor (2nd -TURBT) is recommended for high-risk non-muscle invasive bladder cancer (HR-NMIBC) to reduce the risk of understaging and residual tumors. Despite its proven benefits, 2nd -TURBT remains an invasive and costly procedure. This study aimed to evaluate if bladder MRI, performed before initial TURBT (i-TURBT), could be in selected patient, a non-invasive alternative to 2nd -TURBT.

methodsData from 34 single-center patients who had MRI performed prior to i-TURBT and underwent 2nd -TURBT for HR-NMIBC between March 2020 and July 2024 were retrospectively collected.

resultsMpMRI demonstrated high accuracy in detecting muscle-invasive bladder cancer, with sensitivity, specificity, positive predictive value, and negative predictive value of 100% (95% CI 0.61-1), 96% (95% CI 0.82–0.99), 86% (95% CI 0.49–0.97), and 100% (95% CI 0.87-1), respectively. Among patients with mpMRI findings suggestive of NMIBC (n = 27), the residual tumor rate was 12% (n = 3). No residual tumor was found on 2nd-TURBT in patients with pTa tumor (n = 6) on i-TURBT and VIRADS ≤ 3, neither with pT1 tumor and detrusor muscle sampled on i-TURBT (n = 28), with unifocal VIRADS ≤ 3.

conclusionBladder MRI appears to be a valuable tool in HR-NMIBC management and could avoid 2nd -TURBT in selected patients, with a unifocal VIRADS ≤ 3 lesion and detrusor muscle sampled in i-TURBT.

Indexed as

Magnetic Resonance ImagingMultiparametric Magnetic Resonance ImagingNon-Muscle Invasive Bladder NeoplasmsTransurethral Resection of BladderUrinary BladderUrinary Bladder NeoplasmsAgedAged, 80 and overFemaleHumansMaleMiddle AgedReoperationRetrospective StudiesBladder cancerMagnetic imaging resonanceNon-muscle-invasive bladder cancerUrothelial carcinoma

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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.