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Comparative Analysis of PSA Density and an MRI-Based Predictive Model to Improve the Selection of Candidates for Prostate Biopsy

SIMPLE SUMMARY: Magnetic resonance imaging (MRI)-associated prostate-specific antigen density (mPSAD) and MRI predictive models have been proposed for improving the selection of candidates for prostate biopsy among men with suspected prostate cancer (PCa). While the calculation of mPSAD only require...

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Autores principales: Morote, Juan, Borque-Fernando, Angel, Triquell, Marina, Celma, Anna, Regis, Lucas, Mast, Richard, de Torres, Inés M., Semidey, María E., Abascal, José M., Servian, Pol, Santamaría, Anna, Planas, Jacques, Esteban, Luis M., Trilla, Enrique
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9139805/
https://www.ncbi.nlm.nih.gov/pubmed/35625978
http://dx.doi.org/10.3390/cancers14102374
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author Morote, Juan
Borque-Fernando, Angel
Triquell, Marina
Celma, Anna
Regis, Lucas
Mast, Richard
de Torres, Inés M.
Semidey, María E.
Abascal, José M.
Servian, Pol
Santamaría, Anna
Planas, Jacques
Esteban, Luis M.
Trilla, Enrique
author_facet Morote, Juan
Borque-Fernando, Angel
Triquell, Marina
Celma, Anna
Regis, Lucas
Mast, Richard
de Torres, Inés M.
Semidey, María E.
Abascal, José M.
Servian, Pol
Santamaría, Anna
Planas, Jacques
Esteban, Luis M.
Trilla, Enrique
author_sort Morote, Juan
collection PubMed
description SIMPLE SUMMARY: Magnetic resonance imaging (MRI)-associated prostate-specific antigen density (mPSAD) and MRI predictive models have been proposed for improving the selection of candidates for prostate biopsy among men with suspected prostate cancer (PCa). While the calculation of mPSAD only requires a simple division, the individual risk assessment of PCa using the available risk calculators is also a swift process. We aim to compare the clinical usefulness of mPSAD and an MRI predictive model that utilises the same predictors as the recently developed and externally validated Barcelona MRI predictive model (MRI-PMbdex). ABSTRACT: This study is a head-to-head comparison between mPSAD and MRI-PMbdex. The MRI-PMbdex was created from 2432 men with suspected PCa; this cohort comprised the development and external validation cohorts of the Barcelona MRI predictive model. Pre-biopsy 3-Tesla multiparametric MRI (mpMRI) and 2 to 4-core transrectal ultrasound (TRUS)-guided biopsies for suspicious lesions and/or 12-core TRUS systematic biopsies were scheduled. Clinically significant PCa (csPCa), defined as Gleason-based Grade Group 2 or higher, was detected in 934 men (38.4%). The area under the curve was 0.893 (95% confidence interval [CI]: 0.880–0.906) for MRI-PMbdex and 0.764 (95% CI: 0.774–0.783) for mPSAD, with p < 0.001. MRI-PMbdex showed net benefit over biopsy in all men when the probability of csPCa was greater than 2%, while mPSAD did the same when the probability of csPCa was greater than 18%. Thresholds of 13.5% for MRI-PMbdex and 0.628 ng/mL(2) for mPSAD had 95% sensitivity for csPCa and presented 51.1% specificity for MRI-PMbdex and 19.6% specificity for mPSAD, with p < 0.001. MRI-PMbdex exhibited net benefit over mPSAD in men with prostate imaging report and data system (PI-RADS) <4, while neither exhibited any benefit in men with PI-RADS 5. Hence, we can conclude that MRI-PMbdex is more accurate than mPSAD for the proper selection of candidates for prostate biopsy among men with suspected PCa, with the exception of men with a PI-RAD S 5 score, for whom neither tool exhibited clinical guidance to determine the need for biopsy.
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spelling pubmed-91398052022-05-28 Comparative Analysis of PSA Density and an MRI-Based Predictive Model to Improve the Selection of Candidates for Prostate Biopsy Morote, Juan Borque-Fernando, Angel Triquell, Marina Celma, Anna Regis, Lucas Mast, Richard de Torres, Inés M. Semidey, María E. Abascal, José M. Servian, Pol Santamaría, Anna Planas, Jacques Esteban, Luis M. Trilla, Enrique Cancers (Basel) Article SIMPLE SUMMARY: Magnetic resonance imaging (MRI)-associated prostate-specific antigen density (mPSAD) and MRI predictive models have been proposed for improving the selection of candidates for prostate biopsy among men with suspected prostate cancer (PCa). While the calculation of mPSAD only requires a simple division, the individual risk assessment of PCa using the available risk calculators is also a swift process. We aim to compare the clinical usefulness of mPSAD and an MRI predictive model that utilises the same predictors as the recently developed and externally validated Barcelona MRI predictive model (MRI-PMbdex). ABSTRACT: This study is a head-to-head comparison between mPSAD and MRI-PMbdex. The MRI-PMbdex was created from 2432 men with suspected PCa; this cohort comprised the development and external validation cohorts of the Barcelona MRI predictive model. Pre-biopsy 3-Tesla multiparametric MRI (mpMRI) and 2 to 4-core transrectal ultrasound (TRUS)-guided biopsies for suspicious lesions and/or 12-core TRUS systematic biopsies were scheduled. Clinically significant PCa (csPCa), defined as Gleason-based Grade Group 2 or higher, was detected in 934 men (38.4%). The area under the curve was 0.893 (95% confidence interval [CI]: 0.880–0.906) for MRI-PMbdex and 0.764 (95% CI: 0.774–0.783) for mPSAD, with p < 0.001. MRI-PMbdex showed net benefit over biopsy in all men when the probability of csPCa was greater than 2%, while mPSAD did the same when the probability of csPCa was greater than 18%. Thresholds of 13.5% for MRI-PMbdex and 0.628 ng/mL(2) for mPSAD had 95% sensitivity for csPCa and presented 51.1% specificity for MRI-PMbdex and 19.6% specificity for mPSAD, with p < 0.001. MRI-PMbdex exhibited net benefit over mPSAD in men with prostate imaging report and data system (PI-RADS) <4, while neither exhibited any benefit in men with PI-RADS 5. Hence, we can conclude that MRI-PMbdex is more accurate than mPSAD for the proper selection of candidates for prostate biopsy among men with suspected PCa, with the exception of men with a PI-RAD S 5 score, for whom neither tool exhibited clinical guidance to determine the need for biopsy. MDPI 2022-05-11 /pmc/articles/PMC9139805/ /pubmed/35625978 http://dx.doi.org/10.3390/cancers14102374 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Morote, Juan
Borque-Fernando, Angel
Triquell, Marina
Celma, Anna
Regis, Lucas
Mast, Richard
de Torres, Inés M.
Semidey, María E.
Abascal, José M.
Servian, Pol
Santamaría, Anna
Planas, Jacques
Esteban, Luis M.
Trilla, Enrique
Comparative Analysis of PSA Density and an MRI-Based Predictive Model to Improve the Selection of Candidates for Prostate Biopsy
title Comparative Analysis of PSA Density and an MRI-Based Predictive Model to Improve the Selection of Candidates for Prostate Biopsy
title_full Comparative Analysis of PSA Density and an MRI-Based Predictive Model to Improve the Selection of Candidates for Prostate Biopsy
title_fullStr Comparative Analysis of PSA Density and an MRI-Based Predictive Model to Improve the Selection of Candidates for Prostate Biopsy
title_full_unstemmed Comparative Analysis of PSA Density and an MRI-Based Predictive Model to Improve the Selection of Candidates for Prostate Biopsy
title_short Comparative Analysis of PSA Density and an MRI-Based Predictive Model to Improve the Selection of Candidates for Prostate Biopsy
title_sort comparative analysis of psa density and an mri-based predictive model to improve the selection of candidates for prostate biopsy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9139805/
https://www.ncbi.nlm.nih.gov/pubmed/35625978
http://dx.doi.org/10.3390/cancers14102374
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