Validation of the Barcelona Magnetic Resonance Imaging Predictive Model for Significant Prostate Cancer Detection in Men Undergoing Mapping per 0.5 Mm-Core Targeted Biopsies of Suspicious Lesions and Perilesional Areas

Other authors

Institut Català de la Salut

[Paesano N] Department of Surgery, Universitat Autònoma de Barcelona, Bellaterra, Spain. Clínica Creu Blanca, Barcelona, Spain. [Catalá V, Tcholakian L] Clínica Creu Blanca, Barcelona, Spain. Uroima, Barcelona, Spain. [Alomar X, Barranco MÁ] Clínica Creu Blanca, Barcelona, Spain. [Hernández-Mancera J] Fundació Puigvert, Barcelona, Spain. [Miró B] Unitat d’Estadística i Bioinformàtica, Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. [Trilla E, Morote J] Department of Surgery, Universitat Autònoma de Barcelona, Bellaterra, Spain. Servei d’Urologia, Vall d’Hebron Hospital Universitari, Barcelona, Spain

Vall d'Hebron Barcelona Hospital Campus

Publication date

2025-03-31T10:10:59Z

2025-03-31T10:10:59Z

2025-01-31



Abstract

Detection; Prostate biopsy; Prostate cancer


Detecció; Biòpsia de pròstata; Càncer de pròstata


Detección; Biopsia de próstata; Cáncer de próstata


Background/Objectives: Validation of predictive models (PMs) is crucial to be implemented in new populations or when advances in diagnostic approaches occurred. The aim of this study is to validate the BCN-MRI PM for sPCa when a highly effective prostate biopsy protocol is used. Methods: A prospective cohort of 457 men suspected of having PCa, for whom MRI results were reported with the Prostate Imaging-Reporting and Data System (PI-RADS) v 2.1, underwent a per 0.5 mm-core mapping targeted biopsy of suspicious lesions and perilesional areas, followed by a 12-core-systematic biopsy. These procedures took place between 1 February 2022, and 29 February 2024, at a reference center for prostate biopsy. The individual likelihood of sPCa was assessed through the BCN-MRI risk calculator. Results: The overall sPCa detection rate was 58.3%. The calibration curve of the BCN-MRI PM showed an appropriate accuracy between expected and observed probabilities with a discrimination ability for sPCa yielding an area under the curve (AUC) of 0.862 (95% CI 0.828–0.896) comparable to the AUC of 0.858 (95% CI 0.833–0.883) observed in the development cohort. The application of the BCN-MRI PM provided a net benefit over performing biopsies on all men, avoiding 24.9% of prostate biopsies at 95% sensitivity for sPCa, compared to the 23.7% reduction observed in the development cohort. Conclusions: We conclude that the BCN-MRI PM is ready to be implemented when this biopsy protocol is employed.


This research was supported by the Instituto de Salut Carlos III (SP) and the European Union (PI20/01666).

Document Type

Article


Published version

Language

English

Publisher

MDPI

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Attribution 4.0 International

http://creativecommons.org/licenses/by/4.0/

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