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Evaluation of Vesical Imaging-Reporting and Data System (VI-RADS) scoring system in predicting muscle invasion of bladder cancer

BACKGROUND: To investigate the accuracy of using the Vesical Imaging-Reporting and Data System (VI-RADS) scoring system in prediction preoperative muscle invasion of bladder cancer. METHODS: The study retrospectively reviewed consecutive patients with bladder cancer who received multiparametric magn...

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Autores principales: Liu, Shenghua, Xu, Feijia, Xu, Tianyuan, Yan, Yang, Yao, Xudong, Tang, Guangyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7215047/
https://www.ncbi.nlm.nih.gov/pubmed/32420150
http://dx.doi.org/10.21037/tau.2020.02.16
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author Liu, Shenghua
Xu, Feijia
Xu, Tianyuan
Yan, Yang
Yao, Xudong
Tang, Guangyu
author_facet Liu, Shenghua
Xu, Feijia
Xu, Tianyuan
Yan, Yang
Yao, Xudong
Tang, Guangyu
author_sort Liu, Shenghua
collection PubMed
description BACKGROUND: To investigate the accuracy of using the Vesical Imaging-Reporting and Data System (VI-RADS) scoring system in prediction preoperative muscle invasion of bladder cancer. METHODS: The study retrospectively reviewed consecutive patients with bladder cancer who received multiparametric magnetic resonance imaging (MRI) between January 2017 and June 2019. Clinical and pathological parameters were collected. Bladder tumors were re-evaluated with 5-point VI-RADS scoring system by two experienced radiologists independently. The VI-RADS score was compared with postoperative pathology for each tumor for determining muscle invasion. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated for each VI-RADS cutoff. RESULTS: A total of 126 patients were included in analysis, with 82 patients received transurethral resection of bladder tumor (TURBt) while 44 underwent radical cystectomy. Fifty patients were muscle-invasive bladder cancer and 76 were non-muscle invasive tumor confirmed pathologically. VI-RADS score was only predictive factor to muscle invasion in multivariate analysis. Setting VI-RADS score greater than or equal to 4 reached the best sensitivity and specificity of 94.00% and 92.11%, with PPV and NPV value of 88.68% and 95.89%. CONCLUSIONS: VI-RADS score system is a promising and effective modality in determining detrusor muscle invasion of bladder cancer preoperatively.
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spelling pubmed-72150472020-05-15 Evaluation of Vesical Imaging-Reporting and Data System (VI-RADS) scoring system in predicting muscle invasion of bladder cancer Liu, Shenghua Xu, Feijia Xu, Tianyuan Yan, Yang Yao, Xudong Tang, Guangyu Transl Androl Urol Original Article BACKGROUND: To investigate the accuracy of using the Vesical Imaging-Reporting and Data System (VI-RADS) scoring system in prediction preoperative muscle invasion of bladder cancer. METHODS: The study retrospectively reviewed consecutive patients with bladder cancer who received multiparametric magnetic resonance imaging (MRI) between January 2017 and June 2019. Clinical and pathological parameters were collected. Bladder tumors were re-evaluated with 5-point VI-RADS scoring system by two experienced radiologists independently. The VI-RADS score was compared with postoperative pathology for each tumor for determining muscle invasion. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated for each VI-RADS cutoff. RESULTS: A total of 126 patients were included in analysis, with 82 patients received transurethral resection of bladder tumor (TURBt) while 44 underwent radical cystectomy. Fifty patients were muscle-invasive bladder cancer and 76 were non-muscle invasive tumor confirmed pathologically. VI-RADS score was only predictive factor to muscle invasion in multivariate analysis. Setting VI-RADS score greater than or equal to 4 reached the best sensitivity and specificity of 94.00% and 92.11%, with PPV and NPV value of 88.68% and 95.89%. CONCLUSIONS: VI-RADS score system is a promising and effective modality in determining detrusor muscle invasion of bladder cancer preoperatively. AME Publishing Company 2020-04 /pmc/articles/PMC7215047/ /pubmed/32420150 http://dx.doi.org/10.21037/tau.2020.02.16 Text en 2020 Translational Andrology and Urology. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Liu, Shenghua
Xu, Feijia
Xu, Tianyuan
Yan, Yang
Yao, Xudong
Tang, Guangyu
Evaluation of Vesical Imaging-Reporting and Data System (VI-RADS) scoring system in predicting muscle invasion of bladder cancer
title Evaluation of Vesical Imaging-Reporting and Data System (VI-RADS) scoring system in predicting muscle invasion of bladder cancer
title_full Evaluation of Vesical Imaging-Reporting and Data System (VI-RADS) scoring system in predicting muscle invasion of bladder cancer
title_fullStr Evaluation of Vesical Imaging-Reporting and Data System (VI-RADS) scoring system in predicting muscle invasion of bladder cancer
title_full_unstemmed Evaluation of Vesical Imaging-Reporting and Data System (VI-RADS) scoring system in predicting muscle invasion of bladder cancer
title_short Evaluation of Vesical Imaging-Reporting and Data System (VI-RADS) scoring system in predicting muscle invasion of bladder cancer
title_sort evaluation of vesical imaging-reporting and data system (vi-rads) scoring system in predicting muscle invasion of bladder cancer
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7215047/
https://www.ncbi.nlm.nih.gov/pubmed/32420150
http://dx.doi.org/10.21037/tau.2020.02.16
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