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The effectiveness of multiparametric magnetic resonance imaging in bladder cancer (Vesical Imaging-Reporting and Data System): A systematic review
OBJECTIVE: To evaluate the role of the Vesical Imaging-Reporting and Data System (VI-RADS) score in the diagnostic pathway of bladder cancer. METHODS: A systemic search of the contemporary literature was performed in December 2019 using the Medical Literature Analysis and Retrieval System Online (ME...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7473244/ https://www.ncbi.nlm.nih.gov/pubmed/33029409 http://dx.doi.org/10.1080/2090598X.2020.1733818 |
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author | Carando, Roberto Afferi, Luca Marra, Giancarlo Krajewski, Wojciech Pagliarulo, Vincenzo Abufaraj, Mohammad Xylinas, Evanguelos Cathelineau, Xavier Sanchez-Salas, Rafael Moschini, Marco |
author_facet | Carando, Roberto Afferi, Luca Marra, Giancarlo Krajewski, Wojciech Pagliarulo, Vincenzo Abufaraj, Mohammad Xylinas, Evanguelos Cathelineau, Xavier Sanchez-Salas, Rafael Moschini, Marco |
author_sort | Carando, Roberto |
collection | PubMed |
description | OBJECTIVE: To evaluate the role of the Vesical Imaging-Reporting and Data System (VI-RADS) score in the diagnostic pathway of bladder cancer. METHODS: A systemic search of the contemporary literature was performed in December 2019 using the Medical Literature Analysis and Retrieval System Online (MEDLINE), the Excerpta Medica dataBASE (EMBASE), and Web of Science databases focussing on all available articles on VI-RADS. RESULTS: Overall, six of 15 articles were included. All the available articles evaluated the ability of radiologists to use the VI-RADS score for discriminating non-muscle-invasive bladder cancer (NMIBC) from muscle-invasive bladder cancer (MIBC). Considering a cut-off VI-RADS score of >2, the sensitivity, specificity, positive (PPV) and negative predictive value (NPV) were 78–91.9%, 85–91%.1, 69–78%, and 88–97.1%, respectively. Considering a VI-RADS score cut-off of >3, the sensitivity, specificity, PPV and NPV were 77–94.6%, 43.9–96.5%, 51.6–86%, and 63.7–93%, respectively. Good interobserver agreement was demonstrated in the evaluated studies with a κ score of 0.73–0.89. Only one study evaluated the utility of VI-RADS in determining the presence of MIBC in patients treated with transurethral resection of the bladder diagnosed with high-grade T1 before the second transurethral resection using a VI-RADS score cut-off of >2; the sensitivity, specificity, PPV and NPV were 85%, 93.6%, 74.5%, and 96.6%, respectively. CONCLUSION: The VI-RADS score, using multiparametric magnetic resonance imaging, showed excellent results in discriminating MIBC from NMIBC. Preliminary results have been reported for its use in patients with high-grade T1 bladder cancer. These results need to be validated in high-quality real-world settings. ABBREVIATIONS: DCE: dynamic contrast enhancement; DWI: diffusion-weighted imaging; (N)MIBC: (non-)muscle-invasive bladder cancer; mpMRI: multiparametric MRI; TURBT: transurethral resection of bladder tumour; (N)(P)PV: (negative) (positive) predictive value; SC: structural category; T2W: T2-weighted; VI-RADS: vesical imaging-reporting and data system |
format | Online Article Text |
id | pubmed-7473244 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-74732442020-10-06 The effectiveness of multiparametric magnetic resonance imaging in bladder cancer (Vesical Imaging-Reporting and Data System): A systematic review Carando, Roberto Afferi, Luca Marra, Giancarlo Krajewski, Wojciech Pagliarulo, Vincenzo Abufaraj, Mohammad Xylinas, Evanguelos Cathelineau, Xavier Sanchez-Salas, Rafael Moschini, Marco Arab J Urol Oncology/Reconstruction OBJECTIVE: To evaluate the role of the Vesical Imaging-Reporting and Data System (VI-RADS) score in the diagnostic pathway of bladder cancer. METHODS: A systemic search of the contemporary literature was performed in December 2019 using the Medical Literature Analysis and Retrieval System Online (MEDLINE), the Excerpta Medica dataBASE (EMBASE), and Web of Science databases focussing on all available articles on VI-RADS. RESULTS: Overall, six of 15 articles were included. All the available articles evaluated the ability of radiologists to use the VI-RADS score for discriminating non-muscle-invasive bladder cancer (NMIBC) from muscle-invasive bladder cancer (MIBC). Considering a cut-off VI-RADS score of >2, the sensitivity, specificity, positive (PPV) and negative predictive value (NPV) were 78–91.9%, 85–91%.1, 69–78%, and 88–97.1%, respectively. Considering a VI-RADS score cut-off of >3, the sensitivity, specificity, PPV and NPV were 77–94.6%, 43.9–96.5%, 51.6–86%, and 63.7–93%, respectively. Good interobserver agreement was demonstrated in the evaluated studies with a κ score of 0.73–0.89. Only one study evaluated the utility of VI-RADS in determining the presence of MIBC in patients treated with transurethral resection of the bladder diagnosed with high-grade T1 before the second transurethral resection using a VI-RADS score cut-off of >2; the sensitivity, specificity, PPV and NPV were 85%, 93.6%, 74.5%, and 96.6%, respectively. CONCLUSION: The VI-RADS score, using multiparametric magnetic resonance imaging, showed excellent results in discriminating MIBC from NMIBC. Preliminary results have been reported for its use in patients with high-grade T1 bladder cancer. These results need to be validated in high-quality real-world settings. ABBREVIATIONS: DCE: dynamic contrast enhancement; DWI: diffusion-weighted imaging; (N)MIBC: (non-)muscle-invasive bladder cancer; mpMRI: multiparametric MRI; TURBT: transurethral resection of bladder tumour; (N)(P)PV: (negative) (positive) predictive value; SC: structural category; T2W: T2-weighted; VI-RADS: vesical imaging-reporting and data system Taylor & Francis 2020-03-01 /pmc/articles/PMC7473244/ /pubmed/33029409 http://dx.doi.org/10.1080/2090598X.2020.1733818 Text en © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Oncology/Reconstruction Carando, Roberto Afferi, Luca Marra, Giancarlo Krajewski, Wojciech Pagliarulo, Vincenzo Abufaraj, Mohammad Xylinas, Evanguelos Cathelineau, Xavier Sanchez-Salas, Rafael Moschini, Marco The effectiveness of multiparametric magnetic resonance imaging in bladder cancer (Vesical Imaging-Reporting and Data System): A systematic review |
title | The effectiveness of multiparametric magnetic resonance imaging in bladder cancer (Vesical Imaging-Reporting and Data System): A systematic review |
title_full | The effectiveness of multiparametric magnetic resonance imaging in bladder cancer (Vesical Imaging-Reporting and Data System): A systematic review |
title_fullStr | The effectiveness of multiparametric magnetic resonance imaging in bladder cancer (Vesical Imaging-Reporting and Data System): A systematic review |
title_full_unstemmed | The effectiveness of multiparametric magnetic resonance imaging in bladder cancer (Vesical Imaging-Reporting and Data System): A systematic review |
title_short | The effectiveness of multiparametric magnetic resonance imaging in bladder cancer (Vesical Imaging-Reporting and Data System): A systematic review |
title_sort | effectiveness of multiparametric magnetic resonance imaging in bladder cancer (vesical imaging-reporting and data system): a systematic review |
topic | Oncology/Reconstruction |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7473244/ https://www.ncbi.nlm.nih.gov/pubmed/33029409 http://dx.doi.org/10.1080/2090598X.2020.1733818 |
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