PURPOSE: To assess the performance of EAU risk classification in PCa patients according to the biopsy pathway (standard versus MRI guided) and to develop a new, more accurate, targeted biopsy (TB)-based classification. MATERIALS AND METHODS: We included 1345 patients consecutively operated by radical prostatectomy (RP) since 2014, when MRI and TB were introduced in the diagnostic pathway. Patients underwent systematic biopsy (SB) only (n = 819) or SB and TB (n = 526) prior to RP during the same time period. Pathological and biochemical outcomes were compared between PCa men undergoing SB (SB cohort) and a combination of TB and SB (TB cohort). Kaplan-Meier and Cox regression models were used to assess biochemical recurrence-free survival (RFS). RESULTS: Both cohorts were comparable regarding final pathology and RFS (p = 0.538). The EAU risk classification accurately predicted outcomes in SB cohort, but did not significantly separate low from intermediate risk in TB cohort (p = 0.791). In TB cohort, the new proposed three-group risk classification significantly improved the recurrence risk prediction compared with the EAU risk classification: HR 4 (versus HR 1.2, p = 0.009) for intermediate, and HR 15 (versus HR 6.5, p < 0.001) in high-risk groups, respectively. A fourth group defining very high-risk cases (≥ T2c clinical stage or grade group 5) was also proposed. CONCLUSIONS: The new classification integrating TB findings we propose meaningfully improves the recurrence prediction after surgery in patients undergoing a TB-based diagnostic pathway, compared with standard EAU risk classification which is still relevant for patients undergoing only SB. External validation is needed.
PURPOSE: To assess the performance of EAU risk classification in PCa patients according to the biopsy pathway (standard versus MRI guided) and to develop a new, more accurate, targeted biopsy (TB)-based classification. MATERIALS AND METHODS: We included 1345 patients consecutively operated by radical prostatectomy (RP) since 2014, when MRI and TB were introduced in the diagnostic pathway. Patients underwent systematic biopsy (SB) only (n = 819) or SB and TB (n = 526) prior to RP during the same time period. Pathological and biochemical outcomes were compared between PCa men undergoing SB (SB cohort) and a combination of TB and SB (TB cohort). Kaplan-Meier and Cox regression models were used to assess biochemical recurrence-free survival (RFS). RESULTS: Both cohorts were comparable regarding final pathology and RFS (p = 0.538). The EAU risk classification accurately predicted outcomes in SB cohort, but did not significantly separate low from intermediate risk in TB cohort (p = 0.791). In TB cohort, the new proposed three-group risk classification significantly improved the recurrence risk prediction compared with the EAU risk classification: HR 4 (versus HR 1.2, p = 0.009) for intermediate, and HR 15 (versus HR 6.5, p < 0.001) in high-risk groups, respectively. A fourth group defining very high-risk cases (≥ T2c clinical stage or grade group 5) was also proposed. CONCLUSIONS: The new classification integrating TB findings we propose meaningfully improves the recurrence prediction after surgery in patients undergoing a TB-based diagnostic pathway, compared with standard EAU risk classification which is still relevant for patients undergoing only SB. External validation is needed.
Authors: Felix Preisser; Roderick C N van den Bergh; Giorgio Gandaglia; Piet Ost; Christian I Surcel; Prasanna Sooriakumaran; Francesco Montorsi; Markus Graefen; Henk van der Poel; Alexandre de la Taille; Alberto Briganti; Laurent Salomon; Guillaume Ploussard; Derya Tilki Journal: J Urol Date: 2019-08-22 Impact factor: 7.450
Authors: M Minhaj Siddiqui; Arvin K George; Rachel Rubin; Soroush Rais-Bahrami; Howard L Parnes; Maria J Merino; Richard M Simon; Baris Turkbey; Peter L Choyke; Bradford J Wood; Peter A Pinto Journal: J Natl Cancer Inst Date: 2016-04-29 Impact factor: 13.506
Authors: E Lopci; G Lughezzani; A Castello; P Colombo; P Casale; A Saita; N M Buffi; G Guazzoni; A Chiti; M Lazzeri Journal: Clin Transl Oncol Date: 2020-05-23 Impact factor: 3.405
Authors: Iulia Andras; Emanuel Darius Cata; Andreea Serban; Pierre Kadula; Teodora Telecan; Maximilian Buzoianu; Maria Bungardean; Dan Vasile Stanca; Ioan Coman; Nicolae Crisan Journal: Medicina (Kaunas) Date: 2021-05-22 Impact factor: 2.430
Authors: Maurizio Del Monte; Stefano Cipollari; Francesco Del Giudice; Martina Pecoraro; Marco Bicchetti; Emanuele Messina; Ailin Dehghanpour; Antonio Ciardi; Alessandro Sciarra; Carlo Catalano; Valeria Panebianco Journal: Br J Radiol Date: 2021-10-05 Impact factor: 3.039