Comparative Analysis of PSA Density and an MRI-Based Predictive Model to Improve the Selection of Candidates for Prostate Biopsy
Morote Robles, Juan (Hospital Universitari Vall d'Hebron)
Borque-Fernando, Ángel (Hospital Universitario Miguel Servet (Saragossa))
Triquell, Marina (Hospital Universitari Vall d'Hebron)
Celma, Ana (Hospital Universitari Vall d'Hebron)
Regis, Lucas (Hospital Universitari Vall d'Hebron)
Mast, Richard (Hospital Universitari Vall d'Hebron)
de Torres, Inés (Hospital Universitari Vall d'Hebron)
Semidey Raven, Maria Eugenia (Hospital Universitari Vall d'Hebron)
Abascal, Jose Maria (Parc de Salut MAR de Barcelona)
Servian, Pol (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
Fàbrega-Santamaria, Anna (Hospital Universitari Vall d'Hebron)
Planas, Jacques (Hospital Universitari Vall d'Hebron)
Esteban, Luis M (Universidad de Zaragoza)
Trilla Herrera, Enrique (Hospital Universitari Vall d'Hebron)
Universitat Autònoma de Barcelona

Fecha:	2022
Resumen:	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). 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.
Ayudas:	Instituto de Salud Carlos III PI20/01666
Derechos:	Aquest 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.
Lengua:	Anglès
Documento:	Article ; recerca ; Versió publicada
Materia:	Clinically significant prostate cancer ; Predictive model ; Prostate-specific antigen density
Publicado en:	Cancers, Vol. 14 (may 2022) , ISSN 2072-6694

DOI: 10.3390/cancers14102374
PMID: 35625978

22 p, 3.7 MB

El registro aparece en las colecciones:
Documentos de investigación > Documentos de los grupos de investigación de la UAB > Centros y grupos de investigación (producción científica) > Ciencias de la salud y biociencias > Institut d'Investigació en Ciencies de la Salut Germans Trias i Pujol (IGTP)
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