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...

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Detalles Bibliográficos
Autores: 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
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
Descripción
Sumario: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.