The Barcelona Predictive Model of Clinically Significant Prostate Cancer
Magnetic-resonance-imaging-based predictive models (MRI-PMs) improve the MRI prediction of clinically significant prostate cancer (csPCa) in prostate biopsies. Risk calculators (RC) provide easy individual assessment of csPCa likelihood. MRI-PMs have been analysed in overall populations of men suspe...
| Autores: | , , , , , , , , , , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Universitat Autònoma de Barcelona |
| Repositorio: | Dipòsit Digital de Documents de la UAB |
| Idioma: | inglés |
| OAI Identifier: | oai:ddd.uab.cat:258179 |
| Acceso en línea: | https://ddd.uab.cat/record/258179 https://dx.doi.org/urn:doi:10.3390/cancers14061589 |
| Access Level: | acceso abierto |
| Palabra clave: | Clinically significant prostate cancer Magnetic resonance imaging Predictive model Risk calculator |
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The Barcelona Predictive Model of Clinically Significant Prostate CancerMorote Robles, Juan|||0000-0002-2168-323XBorque-Fernando, Ángel|||0000-0003-0178-4567Triquell, Marina|||0000-0003-3881-8177Celma, Ana|||0000-0002-3128-3811Regis, Lucas|||0000-0001-7121-1946Escobar, Manuel|||0000-0002-3794-2224Mast, Richard|||0000-0001-6005-800Xde Torres, Inés|||0000-0002-5495-9140Semidey Raven, Maria Eugenia|||0000-0001-8539-9265Abascal, Jose Maria|||0000-0001-8374-6593Solà Belda, Carles|||0000-0002-2646-0465Servian, Pol|||0000-0002-3727-8159Salvador Hidalgo, DanielSantamaría Margalef, Anna|||0000-0001-6726-8990Planas Morin, Jacques|||0000-0002-0222-584XEsteban, Luis M.|||0000-0002-3007-302XTrilla Herrera, Enrique|||0000-0001-9401-0872Clinically significant prostate cancerMagnetic resonance imagingPredictive modelRisk calculatorMagnetic-resonance-imaging-based predictive models (MRI-PMs) improve the MRI prediction of clinically significant prostate cancer (csPCa) in prostate biopsies. Risk calculators (RC) provide easy individual assessment of csPCa likelihood. MRI-PMs have been analysed in overall populations of men suspected to have PCa, but they have never been analysed according to the prostate imaging-report and data system (PI-RADS) categories. Therefore, the true clinical usefulness of MRI-PMs regarding the specific PI-RADS categories is unknown. A new and externally validated MRI-PM for csPCa was developed in the metropolitan area of Barcelona, and a web-RC designed with the new option of selecting the csPCa probability threshold. The development cohort comprised 1486 men scheduled to undergo a 3-tesla multiparametric MRI (mpMRI) and guided and/or systematic biopsies in one academic institution of Barcelona. The external validation cohort comprised 946 men in whom the same diagnostic approach was carried out as in the development cohort, in two other academic institutions of the same metropolitan area. CsPCa was detected in 36.9% of men in the development cohort and 40.8% in the external validation cohort (p = 0.054). The area under the curve of mpMRI increased from 0.842 to 0.897 in the developed MRI-PM (p < 0.001), and from 0.743 to 0.858 in the external validation cohort (p < 0.001). A selected 15% threshold avoided 40.1% of prostate biopsies and missed 5.4% of the 36.9% csPCa detected in the development cohort. In men with PI-RADS <3, 4.3% would be biopsied and 32.3% of all existing 4.2% of csPCa would be detected. In men with PI-RADS 3, 62% of prostate biopsies would be avoided and 28% of all existing 12.4% of csPCa would be undetected. In men with PI-RADS 4, 4% of prostate biopsies would be avoided and 0.6% of all existing 43.1% of csPCa would be undetected. In men with PI-RADS 5, 0.6% of prostate biopsies would be avoided and none of the existing 42.0% of csPCa would be undetected. The Barcelona MRI-PM presented good performance on the overall population; however, its clinical usefulness varied regarding the PI-RADS category. The selection of csPCa probability thresholds in the designed RC may facilitate external validation and outperformance of MRI-PMs in specific PI-RADS categories. 22022-01-0120222022-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/258179https://dx.doi.org/urn:doi:10.3390/cancers14061589reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengInstituto de Salud Carlos III https://doi.org/10.13039/501100004587 PI20/01666open accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:2581792026-06-06T12:50:31Z |
| dc.title.none.fl_str_mv |
The Barcelona Predictive Model of Clinically Significant Prostate Cancer |
| title |
The Barcelona Predictive Model of Clinically Significant Prostate Cancer |
| spellingShingle |
The Barcelona Predictive Model of Clinically Significant Prostate Cancer Morote Robles, Juan|||0000-0002-2168-323X Clinically significant prostate cancer Magnetic resonance imaging Predictive model Risk calculator |
| title_short |
The Barcelona Predictive Model of Clinically Significant Prostate Cancer |
| title_full |
The Barcelona Predictive Model of Clinically Significant Prostate Cancer |
| title_fullStr |
The Barcelona Predictive Model of Clinically Significant Prostate Cancer |
| title_full_unstemmed |
The Barcelona Predictive Model of Clinically Significant Prostate Cancer |
| title_sort |
The Barcelona Predictive Model of Clinically Significant Prostate Cancer |
| dc.creator.none.fl_str_mv |
Morote Robles, Juan|||0000-0002-2168-323X Borque-Fernando, Ángel|||0000-0003-0178-4567 Triquell, Marina|||0000-0003-3881-8177 Celma, Ana|||0000-0002-3128-3811 Regis, Lucas|||0000-0001-7121-1946 Escobar, Manuel|||0000-0002-3794-2224 Mast, Richard|||0000-0001-6005-800X de Torres, Inés|||0000-0002-5495-9140 Semidey Raven, Maria Eugenia|||0000-0001-8539-9265 Abascal, Jose Maria|||0000-0001-8374-6593 Solà Belda, Carles|||0000-0002-2646-0465 Servian, Pol|||0000-0002-3727-8159 Salvador Hidalgo, Daniel Santamaría Margalef, Anna|||0000-0001-6726-8990 Planas Morin, Jacques|||0000-0002-0222-584X Esteban, Luis M.|||0000-0002-3007-302X Trilla Herrera, Enrique|||0000-0001-9401-0872 |
| author |
Morote Robles, Juan|||0000-0002-2168-323X |
| author_facet |
Morote Robles, Juan|||0000-0002-2168-323X Borque-Fernando, Ángel|||0000-0003-0178-4567 Triquell, Marina|||0000-0003-3881-8177 Celma, Ana|||0000-0002-3128-3811 Regis, Lucas|||0000-0001-7121-1946 Escobar, Manuel|||0000-0002-3794-2224 Mast, Richard|||0000-0001-6005-800X de Torres, Inés|||0000-0002-5495-9140 Semidey Raven, Maria Eugenia|||0000-0001-8539-9265 Abascal, Jose Maria|||0000-0001-8374-6593 Solà Belda, Carles|||0000-0002-2646-0465 Servian, Pol|||0000-0002-3727-8159 Salvador Hidalgo, Daniel Santamaría Margalef, Anna|||0000-0001-6726-8990 Planas Morin, Jacques|||0000-0002-0222-584X Esteban, Luis M.|||0000-0002-3007-302X Trilla Herrera, Enrique|||0000-0001-9401-0872 |
| author_role |
author |
| author2 |
Borque-Fernando, Ángel|||0000-0003-0178-4567 Triquell, Marina|||0000-0003-3881-8177 Celma, Ana|||0000-0002-3128-3811 Regis, Lucas|||0000-0001-7121-1946 Escobar, Manuel|||0000-0002-3794-2224 Mast, Richard|||0000-0001-6005-800X de Torres, Inés|||0000-0002-5495-9140 Semidey Raven, Maria Eugenia|||0000-0001-8539-9265 Abascal, Jose Maria|||0000-0001-8374-6593 Solà Belda, Carles|||0000-0002-2646-0465 Servian, Pol|||0000-0002-3727-8159 Salvador Hidalgo, Daniel Santamaría Margalef, Anna|||0000-0001-6726-8990 Planas Morin, Jacques|||0000-0002-0222-584X Esteban, Luis M.|||0000-0002-3007-302X Trilla Herrera, Enrique|||0000-0001-9401-0872 |
| author2_role |
author author author author author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
Clinically significant prostate cancer Magnetic resonance imaging Predictive model Risk calculator |
| topic |
Clinically significant prostate cancer Magnetic resonance imaging Predictive model Risk calculator |
| description |
Magnetic-resonance-imaging-based predictive models (MRI-PMs) improve the MRI prediction of clinically significant prostate cancer (csPCa) in prostate biopsies. Risk calculators (RC) provide easy individual assessment of csPCa likelihood. MRI-PMs have been analysed in overall populations of men suspected to have PCa, but they have never been analysed according to the prostate imaging-report and data system (PI-RADS) categories. Therefore, the true clinical usefulness of MRI-PMs regarding the specific PI-RADS categories is unknown. A new and externally validated MRI-PM for csPCa was developed in the metropolitan area of Barcelona, and a web-RC designed with the new option of selecting the csPCa probability threshold. The development cohort comprised 1486 men scheduled to undergo a 3-tesla multiparametric MRI (mpMRI) and guided and/or systematic biopsies in one academic institution of Barcelona. The external validation cohort comprised 946 men in whom the same diagnostic approach was carried out as in the development cohort, in two other academic institutions of the same metropolitan area. CsPCa was detected in 36.9% of men in the development cohort and 40.8% in the external validation cohort (p = 0.054). The area under the curve of mpMRI increased from 0.842 to 0.897 in the developed MRI-PM (p < 0.001), and from 0.743 to 0.858 in the external validation cohort (p < 0.001). A selected 15% threshold avoided 40.1% of prostate biopsies and missed 5.4% of the 36.9% csPCa detected in the development cohort. In men with PI-RADS <3, 4.3% would be biopsied and 32.3% of all existing 4.2% of csPCa would be detected. In men with PI-RADS 3, 62% of prostate biopsies would be avoided and 28% of all existing 12.4% of csPCa would be undetected. In men with PI-RADS 4, 4% of prostate biopsies would be avoided and 0.6% of all existing 43.1% of csPCa would be undetected. In men with PI-RADS 5, 0.6% of prostate biopsies would be avoided and none of the existing 42.0% of csPCa would be undetected. The Barcelona MRI-PM presented good performance on the overall population; however, its clinical usefulness varied regarding the PI-RADS category. The selection of csPCa probability thresholds in the designed RC may facilitate external validation and outperformance of MRI-PMs in specific PI-RADS categories. |
| publishDate |
2022 |
| dc.date.none.fl_str_mv |
2 2022-01-01 2022 2022-01-01 |
| dc.type.none.fl_str_mv |
Article http://purl.org/coar/resource_type/c_6501 VoR http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
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article |
| dc.identifier.none.fl_str_mv |
https://ddd.uab.cat/record/258179 https://dx.doi.org/urn:doi:10.3390/cancers14061589 |
| url |
https://ddd.uab.cat/record/258179 https://dx.doi.org/urn:doi:10.3390/cancers14061589 |
| dc.language.none.fl_str_mv |
Inglés eng |
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Inglés |
| language |
eng |
| dc.relation.none.fl_str_mv |
Instituto de Salud Carlos III https://doi.org/10.13039/501100004587 PI20/01666 |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 https://creativecommons.org/licenses/by/4.0/ |
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info:eu-repo/semantics/openAccess |
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open access http://purl.org/coar/access_right/c_abf2 https://creativecommons.org/licenses/by/4.0/ |
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openAccess |
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application/pdf |
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reponame:Dipòsit Digital de Documents de la UAB instname:Universitat Autònoma de Barcelona |
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