117652 20240319081018.0 doi 10.3390/cancers14102374 sideral 128599 ART-2022-128599 eng Morote, Juan Comparative Analysis of PSA Density and an MRI-Based Predictive Model to Improve the Selection of Candidates for Prostate Biopsy 2022 Access copy available to the general public Unrestricted 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/mL2 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. info:eu-repo/grantAgreement/ES/ISCIII/PI20/01666 info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 5.2 2022 ONCOLOGY 72 / 241 = 0.299 2022 Q2 T1 1.312 2022 Oncology 2022 Q1 Cancer Research 2022 Q2 7.4 2022 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Borque-Fernando, Angel Universidad de Zaragoza (orcid)0000-0003-0178-4567 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. (orcid)0000-0002-3007-302X Trilla, Enrique 1013 817 Universidad de Zaragoza Dpto. Cirugía Área Urología 14, 10 (2022), 2374 [22 pp.] Cancers Cancers 2072-6694 1271900 http://zaguan.unizar.es/record/117652/files/texto_completo.pdf Versión publicada 2853323 http://zaguan.unizar.es/record/117652/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:117652 articulos driver 2024-03-18-15:51:35 ARTICLE