119842 20240319081011.0 doi 10.3390/cancers14205100 sideral 130629 ART-2022-130629 eng Morote, Juan A clinically significant prostate cancer predictive model using digital rectal examination prostate volume category to stratify initial prostate cancer suspicion and reduce magnetic resonance imaging demand 2022 Access copy available to the general public Unrestricted A predictive model including age, PCa family history, biopsy status (initial vs repeat), DRE (normal vs abnormal), serum prostate-specific antigen (PSA), and DRE prostate volume ca-tegory was developed to stratify initial PCa suspicion in 1486 men with PSA > 3 ng/mL and/or abnormal DRE, in whom mpMRI followed; 2- to 4-core TRUS-guided biopsies where Prostate Imaging Report and Data System (PI-RADS) > 3 lesions and/or 12-core TRUS systematic biopsies were performed in one academic institution between 1 January 2016–31 December 2019. The csPCa detection rate, defined as International Society of Uro-Pathology grade group 2 or higher, was 36.9%. An external validation of designed BCN-RC 1 was carried out on 946 men from two other institutions in the same metropolitan area, using the same criteria of PCa suspicion and diagnostic approach, yielded a csPCa detection rate of 40.8%. The areas under the receiver operating characteristic curves of BCN-RC 1 were 0.823 (95% CI: 0.800–0.846) in the development cohort and 0.837 (95% CI: 0.811–0.863) in the validation cohort (p = 0.447). In both cohorts, BCN-RC 1 exhibited net benefit over performing mpMRI in all men from 8 and 12% risk thresholds, respectively. At 0.95 sensitivity of csPCa, the specificities of BCN-RC 1 were 0.24 (95% CI: 0.22–0.26) in the development cohort and 0.34 (95% CI: 0.31–0.37) in the validation cohort (p < 0.001). The percentages of avoided mpMRI scans were 17.2% in the development cohort and 22.3% in the validation cohort, missing between 1.8% and 2% of csPCa among men at risk of PCa. In summary, BCN-RC 1 can stratify initial PCa suspicion, reducing the demand of mpMRI, with an acceptable loss of csPCa. 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, Ángel Universidad de Zaragoza (orcid)0000-0003-0178-4567 Triquell, Marina Campistol, Miriam Celma, Anna Regis, Lucas Abascal, José M. Servian, Pol Planas, Jacques Mendez, Olga Esteban, Luis M. (orcid)0000-0002-3007-302X Trilla, Enrique 1013 817 Universidad de Zaragoza Dpto. Cirugía Área Urología 14, 20 (2022), 5100 [14 pp] Cancers Cancers 2072-6694 2314902 http://zaguan.unizar.es/record/119842/files/texto_completo.pdf Versión publicada 2893801 http://zaguan.unizar.es/record/119842/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:119842 articulos driver 2024-03-18-15:10:24 ARTICLE