Accuracy of the Vesical Imaging-Reporting and Data System (VIRADS) for pre-treatment staging of bladder cancer in an Australian cohort.
VIRADS
bladder cancer
cancer staging
multiparametric magnetic resonance imaging
urinary bladder imaging
Journal
Journal of medical imaging and radiation oncology
ISSN: 1754-9485
Titre abrégé: J Med Imaging Radiat Oncol
Pays: Australia
ID NLM: 101469340
Informations de publication
Date de publication:
04 2022
04 2022
Historique:
received:
14
12
2020
accepted:
03
08
2021
pubmed:
31
8
2021
medline:
6
4
2022
entrez:
30
8
2021
Statut:
ppublish
Résumé
To evaluate the performance of the Vesical Imaging-Reporting and Data System (VIRADS) in differentiating muscle-invasive and non-muscle-invasive bladder cancer and whether this reporting system improves inter-reader agreement. Sixty-four cases of multiparametric 3 tesla bladder MRI from January 2014 to May 2020 were reviewed retrospectively. T2-weighted, diffusion and post-contrast images were reviewed. All magnetic resonance images were reported by a radiologist with 15 years' experience (Reader 1) and a final year radiology trainee with a special interest in urogenital imaging with 3 years of experience (Reader 2). Both readers were blinded to clinical history and histopathology results when scoring each lesion. The sensitivity and specificity for differentiating MIBC and NMIBC were 91% and 68%, respectively, for Reader 1 and 91% and 63%, respectively, for Reader 2. The inter-reader agreement for assigning VIRADS scores was 0.79. The area under the receiver operator curve for Reader 1 and 2 were not significantly different (Reader 1 = 0.79, Reader 2 = 0.77, P = 0.83). Staging of bladder cancer prior to treatment can be accurately and reliably diagnosed using VIRADS, a novel, standardised reporting system for bladder MRI.
Identifiants
pubmed: 34459158
doi: 10.1111/1754-9485.13317
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
370-376Commentaires et corrections
Type : ErratumIn
Informations de copyright
© 2021 The Royal Australian and New Zealand College of Radiologists.
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