• R Algarra, B Zudaire, A Tienza, J M Velis, A Rincón, I Pascual, and J Zudaire.
• Departamento de Urología, Clínica Universidad de Navarra, Pamplona, España. Electronic address: ralgarra@unav.es.
• Actas Urol Esp. 2014 Nov 1; 38 (9): 594-9.

ObjectivesTo improve the predictive efficacy of the D'Amico risk classification system with magnetic resonance imaging (MRI) of the pelvis.Material And MethodsWe studied 729 patients from a series of 1310 radical prostatectomies for T1-T2 prostate cancer who underwent staging pelvic MRI. Each patient was classified with T2, T3a or T3b MRI, and N (+) patients were excluded. We identified the therapeutic factors that affected the biochemical progression-free survival (BPFS) time (prostate specific antigen [PSA] levels>0.4ng/mL) using a univariate and multivariate study with Cox models. We attempted to improve the predictive power of the D'Amico model (low risk: T1; Gleason 2-6; PSA levels<10ng/mL; intermediate risk: T2 or Gleason 7 or PSA levels 10-20ng/mL; high risk: T3 or Gleason 8-10 or PSA levels>20ng/mL).ResultsIn the univariate study, the clinical factors that influenced BPFS were the following: Gleason 7 (HR: 1.7); Gleason 8-10 (HR: 2.9); T2 (HR: 1.6); PSA levels 10-20 (HR: 2); PSA levels>20 (HR: 4.3); D'Amico intermediate (HR: 2.1) and high (HR: 4.8) risk; T3a MRI (HR: 2.3) and T3b MRI (HR: 4.5). In the multivariate study, the only variables that affected BPFS were the following: D'Amico intermediate risk (HR: 2; 95% CI 1.2-3.3); D'Amico high risk (HR: 4.1; 95% CI 2.4-6.8); T3a MRI (HR: 1.9; 95% CI 1.2-2.9) and T3b MRI (HR: 3.9; 95% CI 2.5-6.1). Predictive model: Using the multivariate Cox models, we assessed the weight of each variable. A value of 1 was given to D'Amico low risk and T2 MRI; a value of 2 was given to D'Amico intermediate risk and T3a MRI and a value 3 was given to D'Amico high risk and T3b MRI. Each patient had a marker that varied between 2 and 6. The best model included 3 groups, as follows: 494 (67.7%) patients in group 1, with a score of 2-3 points (HR, 1), a BPFS of 86%±2% and 79%±2% at 5 and 10 years, respectively; 179 (24.6%) patients in group 2, with a score of 4 points (HR, 3), a BPFS of 60%±4% and 54%±5% at 5 and 10 years, respectively; and 56 (7.7%) patients in group 3, with a score of 5-6 points (HR, 9.3), a BPFS of 29%±8% and 19%±7% at 5 and 10 years, respectively. The median BPFS time was 1.5 years.ConclusionMRI data significantly improves the predictive capacity of BPFS when using the D'Amico model data.Copyright © 2013 AEU. Published by Elsevier Espana. All rights reserved.

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