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DOI 10.3390/cancers18111810

Медицинская библиотека · Cancers · 2026

External Validation and Clinical Impact of the Barcelona Predictive Models for Detecting Significant Prostate Cancer in Prostate Biopsies in an Ibero-American Population.

Paesano Nahuel, Camean Juan, Ringa Maximiliano, López-Silva Maximiliano, Koren Guido, Olmedo Tomás Eduardo, Gurovich Joaquín Ignacio, Bravo-Castro Edgar Iván, Catalá Violeta, Contreras Pablo, Justo-Quintas Juan, Pérez-Ruiz José Miguel, García-Barreras Silvia, Miró Berta, Regis Lucas, Méndez Olga, Trilla Enrique, Morote Juan

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Аннотация

Objectives

To externally validate the Barcelona Predictive Models (BCN-PM 1 and 2) for detecting csPCa in an Ibero-American population. BCN-PM 1 was designed to reduce magnetic resonance imaging (MRI) use, whereas BCN-PM 2 aims to decrease unnecessary prostate biopsies.

Methods

This prospective, multicenter study included 661 men with suspected PCa recruited in 2025 across three Ibero-American centers. All participants underwent MRI followed by targeted biopsies of lesions with the Prostate Imaging-Reporting and Data System (PI-RADS) ≥ 3, along with systematic biopsy. When PI-RADS lesions were <3, only systematic biopsies were performed. CsPCa was defined as International Society of Urological Pathology Grade Group ≥ 2. BCN-PM 1 incorporates age (years), family history of PCa (no vs. yes), prior negative prostate biopsy (no vs. yes), digital rectal examination (DRE: normal vs. suspicious), and prostate volume-derived estimation by DRE (small, median, or large). BCN-PM 2 includes age, family history of PCa, prior negative prostate biopsy, prostate volume measured by MRI (mL), and PI-RADS score (1-5).

Results

The rate of csPCa detection was 53.7%. Both models demonstrated good calibration with strong agreement between predicted probabilities and observed csPCa rates. BCN-PM 1 closely followed the reference line, with minor deviations at higher predicted probabilities, whereas BCN-PM 2 showed modest departures at the extremes of risk. The area under the curve was 0.740 (95% CI 0.702-0.777) for BCN-PM 1 and 0.803 (95% CI 0.769-0.836) for BCN-PM 2 (p < 0.001). Decision curve analysis demonstrated a net benefit for both models compared with strategies of biopsy in all or no men. BCN-PM 2 showed greater net benefit than BCN-PM 1. At 95% sensitivity, BCN-PM 1 reduced MRI requests by 10.6%, while BCN-PM 2 avoided 19.4% of unnecessary biopsies. The sequential use of BCN-PM 1 and 2 resulted in a 10.6% reduction in MRI exams and a 23.1% reduction in biopsies, at the cost of missing 8.4% of csPCa cases. The performance of the biopsy improved from 53.7% to 64.0% (p < 0.001).

Conclusions

BCN-PM1 and BCN-PM 2 were successfully validated in an Ibero-American population.

Для цитирования: Paesano Nahuel, Camean Juan, Ringa Maximiliano, López-Silva Maximiliano, Koren Guido, Olmedo Tomás Eduardo, Gurovich Joaquín Ignacio, Bravo-Castro Edgar Iván, Catalá Violeta, Contreras Pablo, Justo-Quintas Juan, Pérez-Ruiz José Miguel, García-Barreras Silvia, Miró Berta, Regis Lucas, Méndez Olga, Trilla Enrique, Morote Juan. External Validation and Clinical Impact of the Barcelona Predictive Models for Detecting Significant Prostate Cancer in Prostate Biopsies in an Ibero-American Population.. Cancers. 2026. DOI: 10.3390/cancers18111810.
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