Cargando…
A novel pathway to detect muscle-invasive bladder cancer based on integrated clinical features and VI-RADS score on MRI: results of a prospective multicenter study
PURPOSE: To determine the clinical, pathological, and radiological features, including the Vesical Imaging-Reporting and Data System (VI-RADS) score, independently correlating with muscle-invasive bladder cancer (BCa), in a multicentric national setting. METHOD AND MATERIALS: Patients with BCa suspi...
Autores principales: | , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Milan
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9349064/ https://www.ncbi.nlm.nih.gov/pubmed/35763251 http://dx.doi.org/10.1007/s11547-022-01513-5 |
_version_ | 1784762047970410496 |
---|---|
author | Bicchetti, Marco Simone, Giuseppe Giannarini, Gianluca Girometti, Rossano Briganti, Alberto Brunocilla, Eugenio Cardone, Gianpiero De Cobelli, Francesco Gaudiano, Caterina Del Giudice, Francesco Flammia, Simone Leonardo, Costantino Pecoraro, Martina Schiavina, Riccardo Catalano, Carlo Panebianco, Valeria |
author_facet | Bicchetti, Marco Simone, Giuseppe Giannarini, Gianluca Girometti, Rossano Briganti, Alberto Brunocilla, Eugenio Cardone, Gianpiero De Cobelli, Francesco Gaudiano, Caterina Del Giudice, Francesco Flammia, Simone Leonardo, Costantino Pecoraro, Martina Schiavina, Riccardo Catalano, Carlo Panebianco, Valeria |
author_sort | Bicchetti, Marco |
collection | PubMed |
description | PURPOSE: To determine the clinical, pathological, and radiological features, including the Vesical Imaging-Reporting and Data System (VI-RADS) score, independently correlating with muscle-invasive bladder cancer (BCa), in a multicentric national setting. METHOD AND MATERIALS: Patients with BCa suspicion were offered magnetic resonance imaging (MRI) before trans-urethral resection of bladder tumor (TURBT). According to VI-RADS, a cutoff of ≥ 3 or ≥ 4 was assumed to define muscle-invasive bladder cancer (MIBC). Trans-urethral resection of the tumor (TURBT) and/or cystectomy reports were compared with preoperative VI-RADS scores to assess accuracy of MRI for discriminating between non-muscle-invasive versus MIBC. Performance was assessed by ROC curve analysis. Two univariable and multivariable logistic regression models were implemented including clinical, pathological, radiological data, and VI-RADS categories to determine the variables with an independent effect on MIBC. RESULTS: A final cohort of 139 patients was enrolled (median age 70 [IQR: 64, 76.5]). MRI showed sensitivity, specificity, PPV, NPV, and accuracy for MIBC diagnosis ranging from 83–93%, 80–92%, 67–81%, 93–96%, and 84–89% for the more experienced readers. The area under the curve (AUC) was 0.95 (0.91–0.99). In the multivariable logistic regression model, the VI-RADS score, using both a cutoff of 3 and 4 (P < .0001), hematuria (P = .007), tumor size (P = .013), and concomitant hydronephrosis (P = .027) were the variables correlating with a bladder cancer staged as ≥ T2. The inter-reader agreement was substantial (k = 0.814). CONCLUSIONS: VI-RADS assessment scoring proved to be an independent predictor of muscle-invasiveness, which might implicate a shift toward a more aggressive selection approach of patients’ at high risk of MIBC, according to a novel proposed predictive pathway. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11547-022-01513-5. |
format | Online Article Text |
id | pubmed-9349064 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Milan |
record_format | MEDLINE/PubMed |
spelling | pubmed-93490642022-08-05 A novel pathway to detect muscle-invasive bladder cancer based on integrated clinical features and VI-RADS score on MRI: results of a prospective multicenter study Bicchetti, Marco Simone, Giuseppe Giannarini, Gianluca Girometti, Rossano Briganti, Alberto Brunocilla, Eugenio Cardone, Gianpiero De Cobelli, Francesco Gaudiano, Caterina Del Giudice, Francesco Flammia, Simone Leonardo, Costantino Pecoraro, Martina Schiavina, Riccardo Catalano, Carlo Panebianco, Valeria Radiol Med Diagnostic Imaging in Oncology PURPOSE: To determine the clinical, pathological, and radiological features, including the Vesical Imaging-Reporting and Data System (VI-RADS) score, independently correlating with muscle-invasive bladder cancer (BCa), in a multicentric national setting. METHOD AND MATERIALS: Patients with BCa suspicion were offered magnetic resonance imaging (MRI) before trans-urethral resection of bladder tumor (TURBT). According to VI-RADS, a cutoff of ≥ 3 or ≥ 4 was assumed to define muscle-invasive bladder cancer (MIBC). Trans-urethral resection of the tumor (TURBT) and/or cystectomy reports were compared with preoperative VI-RADS scores to assess accuracy of MRI for discriminating between non-muscle-invasive versus MIBC. Performance was assessed by ROC curve analysis. Two univariable and multivariable logistic regression models were implemented including clinical, pathological, radiological data, and VI-RADS categories to determine the variables with an independent effect on MIBC. RESULTS: A final cohort of 139 patients was enrolled (median age 70 [IQR: 64, 76.5]). MRI showed sensitivity, specificity, PPV, NPV, and accuracy for MIBC diagnosis ranging from 83–93%, 80–92%, 67–81%, 93–96%, and 84–89% for the more experienced readers. The area under the curve (AUC) was 0.95 (0.91–0.99). In the multivariable logistic regression model, the VI-RADS score, using both a cutoff of 3 and 4 (P < .0001), hematuria (P = .007), tumor size (P = .013), and concomitant hydronephrosis (P = .027) were the variables correlating with a bladder cancer staged as ≥ T2. The inter-reader agreement was substantial (k = 0.814). CONCLUSIONS: VI-RADS assessment scoring proved to be an independent predictor of muscle-invasiveness, which might implicate a shift toward a more aggressive selection approach of patients’ at high risk of MIBC, according to a novel proposed predictive pathway. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11547-022-01513-5. Springer Milan 2022-06-28 2022 /pmc/articles/PMC9349064/ /pubmed/35763251 http://dx.doi.org/10.1007/s11547-022-01513-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Diagnostic Imaging in Oncology Bicchetti, Marco Simone, Giuseppe Giannarini, Gianluca Girometti, Rossano Briganti, Alberto Brunocilla, Eugenio Cardone, Gianpiero De Cobelli, Francesco Gaudiano, Caterina Del Giudice, Francesco Flammia, Simone Leonardo, Costantino Pecoraro, Martina Schiavina, Riccardo Catalano, Carlo Panebianco, Valeria A novel pathway to detect muscle-invasive bladder cancer based on integrated clinical features and VI-RADS score on MRI: results of a prospective multicenter study |
title | A novel pathway to detect muscle-invasive bladder cancer based on integrated clinical features and VI-RADS score on MRI: results of a prospective multicenter study |
title_full | A novel pathway to detect muscle-invasive bladder cancer based on integrated clinical features and VI-RADS score on MRI: results of a prospective multicenter study |
title_fullStr | A novel pathway to detect muscle-invasive bladder cancer based on integrated clinical features and VI-RADS score on MRI: results of a prospective multicenter study |
title_full_unstemmed | A novel pathway to detect muscle-invasive bladder cancer based on integrated clinical features and VI-RADS score on MRI: results of a prospective multicenter study |
title_short | A novel pathway to detect muscle-invasive bladder cancer based on integrated clinical features and VI-RADS score on MRI: results of a prospective multicenter study |
title_sort | novel pathway to detect muscle-invasive bladder cancer based on integrated clinical features and vi-rads score on mri: results of a prospective multicenter study |
topic | Diagnostic Imaging in Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9349064/ https://www.ncbi.nlm.nih.gov/pubmed/35763251 http://dx.doi.org/10.1007/s11547-022-01513-5 |
work_keys_str_mv | AT bicchettimarco anovelpathwaytodetectmuscleinvasivebladdercancerbasedonintegratedclinicalfeaturesandviradsscoreonmriresultsofaprospectivemulticenterstudy AT simonegiuseppe anovelpathwaytodetectmuscleinvasivebladdercancerbasedonintegratedclinicalfeaturesandviradsscoreonmriresultsofaprospectivemulticenterstudy AT giannarinigianluca anovelpathwaytodetectmuscleinvasivebladdercancerbasedonintegratedclinicalfeaturesandviradsscoreonmriresultsofaprospectivemulticenterstudy AT giromettirossano anovelpathwaytodetectmuscleinvasivebladdercancerbasedonintegratedclinicalfeaturesandviradsscoreonmriresultsofaprospectivemulticenterstudy AT brigantialberto anovelpathwaytodetectmuscleinvasivebladdercancerbasedonintegratedclinicalfeaturesandviradsscoreonmriresultsofaprospectivemulticenterstudy AT brunocillaeugenio anovelpathwaytodetectmuscleinvasivebladdercancerbasedonintegratedclinicalfeaturesandviradsscoreonmriresultsofaprospectivemulticenterstudy AT cardonegianpiero anovelpathwaytodetectmuscleinvasivebladdercancerbasedonintegratedclinicalfeaturesandviradsscoreonmriresultsofaprospectivemulticenterstudy AT decobellifrancesco anovelpathwaytodetectmuscleinvasivebladdercancerbasedonintegratedclinicalfeaturesandviradsscoreonmriresultsofaprospectivemulticenterstudy AT gaudianocaterina anovelpathwaytodetectmuscleinvasivebladdercancerbasedonintegratedclinicalfeaturesandviradsscoreonmriresultsofaprospectivemulticenterstudy AT delgiudicefrancesco anovelpathwaytodetectmuscleinvasivebladdercancerbasedonintegratedclinicalfeaturesandviradsscoreonmriresultsofaprospectivemulticenterstudy AT flammiasimone anovelpathwaytodetectmuscleinvasivebladdercancerbasedonintegratedclinicalfeaturesandviradsscoreonmriresultsofaprospectivemulticenterstudy AT leonardocostantino anovelpathwaytodetectmuscleinvasivebladdercancerbasedonintegratedclinicalfeaturesandviradsscoreonmriresultsofaprospectivemulticenterstudy AT pecoraromartina anovelpathwaytodetectmuscleinvasivebladdercancerbasedonintegratedclinicalfeaturesandviradsscoreonmriresultsofaprospectivemulticenterstudy AT schiavinariccardo anovelpathwaytodetectmuscleinvasivebladdercancerbasedonintegratedclinicalfeaturesandviradsscoreonmriresultsofaprospectivemulticenterstudy AT catalanocarlo anovelpathwaytodetectmuscleinvasivebladdercancerbasedonintegratedclinicalfeaturesandviradsscoreonmriresultsofaprospectivemulticenterstudy AT panebiancovaleria anovelpathwaytodetectmuscleinvasivebladdercancerbasedonintegratedclinicalfeaturesandviradsscoreonmriresultsofaprospectivemulticenterstudy AT bicchettimarco novelpathwaytodetectmuscleinvasivebladdercancerbasedonintegratedclinicalfeaturesandviradsscoreonmriresultsofaprospectivemulticenterstudy AT simonegiuseppe novelpathwaytodetectmuscleinvasivebladdercancerbasedonintegratedclinicalfeaturesandviradsscoreonmriresultsofaprospectivemulticenterstudy AT giannarinigianluca novelpathwaytodetectmuscleinvasivebladdercancerbasedonintegratedclinicalfeaturesandviradsscoreonmriresultsofaprospectivemulticenterstudy AT giromettirossano novelpathwaytodetectmuscleinvasivebladdercancerbasedonintegratedclinicalfeaturesandviradsscoreonmriresultsofaprospectivemulticenterstudy AT brigantialberto novelpathwaytodetectmuscleinvasivebladdercancerbasedonintegratedclinicalfeaturesandviradsscoreonmriresultsofaprospectivemulticenterstudy AT brunocillaeugenio novelpathwaytodetectmuscleinvasivebladdercancerbasedonintegratedclinicalfeaturesandviradsscoreonmriresultsofaprospectivemulticenterstudy AT cardonegianpiero novelpathwaytodetectmuscleinvasivebladdercancerbasedonintegratedclinicalfeaturesandviradsscoreonmriresultsofaprospectivemulticenterstudy AT decobellifrancesco novelpathwaytodetectmuscleinvasivebladdercancerbasedonintegratedclinicalfeaturesandviradsscoreonmriresultsofaprospectivemulticenterstudy AT gaudianocaterina novelpathwaytodetectmuscleinvasivebladdercancerbasedonintegratedclinicalfeaturesandviradsscoreonmriresultsofaprospectivemulticenterstudy AT delgiudicefrancesco novelpathwaytodetectmuscleinvasivebladdercancerbasedonintegratedclinicalfeaturesandviradsscoreonmriresultsofaprospectivemulticenterstudy AT flammiasimone novelpathwaytodetectmuscleinvasivebladdercancerbasedonintegratedclinicalfeaturesandviradsscoreonmriresultsofaprospectivemulticenterstudy AT leonardocostantino novelpathwaytodetectmuscleinvasivebladdercancerbasedonintegratedclinicalfeaturesandviradsscoreonmriresultsofaprospectivemulticenterstudy AT pecoraromartina novelpathwaytodetectmuscleinvasivebladdercancerbasedonintegratedclinicalfeaturesandviradsscoreonmriresultsofaprospectivemulticenterstudy AT schiavinariccardo novelpathwaytodetectmuscleinvasivebladdercancerbasedonintegratedclinicalfeaturesandviradsscoreonmriresultsofaprospectivemulticenterstudy AT catalanocarlo novelpathwaytodetectmuscleinvasivebladdercancerbasedonintegratedclinicalfeaturesandviradsscoreonmriresultsofaprospectivemulticenterstudy AT panebiancovaleria novelpathwaytodetectmuscleinvasivebladdercancerbasedonintegratedclinicalfeaturesandviradsscoreonmriresultsofaprospectivemulticenterstudy |