Could Bladder Multiparametric MRI Be Introduced in Routine Clinical Practice? Role of the New VI-RADS Score: Results From a Prospective Study.

Bladder cancer Bladder diagnostic Multiparametric magnetic resonance imaging of bladder Muscle invasive bladder cancer VI-RADS score

Journal

Clinical genitourinary cancer
ISSN: 1938-0682
Titre abrégé: Clin Genitourin Cancer
Pays: United States
ID NLM: 101260955

Informations de publication

Date de publication:
10 2020
Historique:
received: 04 02 2020
revised: 01 03 2020
accepted: 03 03 2020
pubmed: 11 4 2020
medline: 19 8 2021
entrez: 11 4 2020
Statut: ppublish

Résumé

The Vesical Imaging Reporting and Data System (VI-RADS) was recently introduced as a standardized approach to reporting multiparametric magnetic resonance imaging (mpMRI) for bladder cancer. We aimed to prospectively analyze its routine use and its diagnostic performance in discriminating non-muscle-invasive bladder cancer (NMIBC) and muscle-invasive bladder cancer (MIBC). A total of 38 patients with diagnosis of suspect bladder cancer at cystoscopy underwent bladder mpMRI before transurethral resection of the bladder (TURB). Bladder tumors were categorized according to the VI-RADS. After TURB, the VI-RADS score was compared with histological report for each lesion separately. Receiving operating characteristic and decision curve analyses were used to assess its accuracy and clinical utility. A total of 68 lesions were included, of which 7 (10.3%) were MIBC. The pooled accuracy was 90.0% (95% confidence interval [CI], 75.4%-98.7%). The best threshold was estimated as VI-RADS 4, showing a sensitivity of 85.7% (95% CI, 57.1%-100%) and a specificity of 86.9% (95% CI, 78.7%-95.1%). Decision curve analyses showed that using VI-RADS ≥4 improved the net benefit compared with any default strategy for threshold probabilities of MIBC up to ∼40%, which is a reasonable clinical threshold for planning further treatments. Our prospective study shows that the use of VI-RADS as a standardized reporting method is appealing and could be considered in clinical practice owing to its high accuracy.

Sections du résumé

BACKGROUND
The Vesical Imaging Reporting and Data System (VI-RADS) was recently introduced as a standardized approach to reporting multiparametric magnetic resonance imaging (mpMRI) for bladder cancer. We aimed to prospectively analyze its routine use and its diagnostic performance in discriminating non-muscle-invasive bladder cancer (NMIBC) and muscle-invasive bladder cancer (MIBC).
PATIENTS AND METHODS
A total of 38 patients with diagnosis of suspect bladder cancer at cystoscopy underwent bladder mpMRI before transurethral resection of the bladder (TURB). Bladder tumors were categorized according to the VI-RADS. After TURB, the VI-RADS score was compared with histological report for each lesion separately. Receiving operating characteristic and decision curve analyses were used to assess its accuracy and clinical utility.
RESULTS
A total of 68 lesions were included, of which 7 (10.3%) were MIBC. The pooled accuracy was 90.0% (95% confidence interval [CI], 75.4%-98.7%). The best threshold was estimated as VI-RADS 4, showing a sensitivity of 85.7% (95% CI, 57.1%-100%) and a specificity of 86.9% (95% CI, 78.7%-95.1%). Decision curve analyses showed that using VI-RADS ≥4 improved the net benefit compared with any default strategy for threshold probabilities of MIBC up to ∼40%, which is a reasonable clinical threshold for planning further treatments.
CONCLUSIONS
Our prospective study shows that the use of VI-RADS as a standardized reporting method is appealing and could be considered in clinical practice owing to its high accuracy.

Identifiants

pubmed: 32273236
pii: S1558-7673(20)30051-3
doi: 10.1016/j.clgc.2020.03.002
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

409-415.e1

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Auteurs

Michele Marchioni (M)

Department of Medical, Oral and Biotechnological Sciences, G. d'Annunzio University of Chieti, Urology Unit, SS Annunziata Hospital, Chieti, Italy; Laboratory of Biostatistics, Department of Medical, Oral and Biotechnological Sciences, G. d'Annunzio University of Chieti, Chieti, Italy. Electronic address: mic.marchioni@gmail.com.

Giulia Primiceri (G)

Department of Medical, Oral and Biotechnological Sciences, G. d'Annunzio University of Chieti, Urology Unit, SS Annunziata Hospital, Chieti, Italy.

Andrea Delli Pizzi (A)

Department of Neuroscience, Imaging and Clinical Sciences, Institute for Advanced Biomedical Technologies, G. d'Annunzio University of Chieti, Chieti, Italy.

Raffaella Basilico (R)

Department of Neuroscience, Imaging and Clinical Sciences, Institute for Advanced Biomedical Technologies, G. d'Annunzio University of Chieti, Chieti, Italy.

Francesco Berardinelli (F)

Department of Medical, Oral and Biotechnological Sciences, G. d'Annunzio University of Chieti, Urology Unit, SS Annunziata Hospital, Chieti, Italy.

Erica Mincuzzi (E)

Department of Neuroscience, Imaging and Clinical Sciences, Institute for Advanced Biomedical Technologies, G. d'Annunzio University of Chieti, Chieti, Italy.

Roberto Castellucci (R)

Department of Medical, Oral and Biotechnological Sciences, G. d'Annunzio University of Chieti, Urology Unit, SS Annunziata Hospital, Chieti, Italy.

Barbara Sessa (B)

Department of Neuroscience, Imaging and Clinical Sciences, Institute for Advanced Biomedical Technologies, G. d'Annunzio University of Chieti, Chieti, Italy.

Marta Di Nicola (M)

Laboratory of Biostatistics, Department of Medical, Oral and Biotechnological Sciences, G. d'Annunzio University of Chieti, Chieti, Italy.

Luigi Schips (L)

Department of Medical, Oral and Biotechnological Sciences, G. d'Annunzio University of Chieti, Urology Unit, SS Annunziata Hospital, Chieti, Italy.

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