ArticleAbdominal radiology (New York)2024
Evaluation of magnetic resonance imaging for bladder cancer detection following transurethral resection of bladder tumour (TURBT).
Article in Abdominal radiology (New York), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Correlation Between the Natural Course and Magnetic Resonance Imaging Features of Bacillus Calmette-Guérin-Related Granulomatous Prostatitis in Patients With Bladder Cancer.Journal of Korean medical science · 2026Article
- Article
- Celldetect test performance in monitoring bladder cancer recurrence after transurethral resection.BMC cancer · 2026Article
- Integrating urinary dual-gene methylation and VI-RADS score to predict residual tumors after TURBT in NMIBC: a nomogram-based model.BMC urology · 2025Article
- Assessing Image Quality in Multiplexed Sensitivity-Encoding Diffusion-Weighted Imaging with Deep Learning-Based Reconstruction in Bladder MRI.Diagnostics (Basel, Switzerland) · 2025Article
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Abstract
purposeTo evaluate the performance of MRI for detection of bladder cancer following transurethral resection of bladder tumour (TURBT).
methodsThis single-centre retrospective study included forty-one consecutive patients with bladder cancer who underwent bladder MRI after TURBT. Two uroradiologists retrospectively assessed the presence of tumour using bladder MRI with and without DWI (diffusion weighted imaging) using a five-point Likert scale. Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were calculated and inter-reader agreement was assessed. Histopathology was used as the reference standard.
results24 out of 41 patients (58.5%) had no residual tumour or Tis (carcinoma in situ) after TURBT. Sensitivity, specificity, PPV and NPV for detection of tumour using T1WI (T1-weighted imaging) and T2WI (T2-weighted imaging) was 50.0%, 54.6%, 21.1%, and 81.8%, respectively and for T1WI, T2WI and DWI combined was 100%, 76.5%, 50.0% and 100%, respectively. Overestimation of tumour was more common than underestimation. MRI showed high accuracy for patients in whom there was no residual tumour (78.9%). Inter-reader agreement for tumour detection improved from fair (κ = 0.54) to moderate (κ = 0.70) when DWI was included.
conclusionNon-contrast MRI with DWI showed high sensitivity and relatively high specificity for detection of residual tumour after TURBT. Inter-reader agreement improved from fair to moderate with the addition of DWI. MRI can be useful after TURBT in order to guide further management.
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