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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
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