Robotic-assisted radical prostatectomy: learning curves and outcomes from an Australian perspective

Abstract

Background: Robot-assisted radical prostatectomy (RARP) has been a treatment for men who suffer from intermediated to high-risk prostate cancer in Australia since 2003. The primary outcomes in relation to learning curves in robotic surgery have been extensively researched in overseas populations, but there is no study from a cohort of Australian surgeons performing RARP. This study aims to highlight the effect of RARP learning curves on primary surgical outcomes in a high-volume Australian centre. Methods: A retrospective audit of all RARP performed at Epworth Healthcare from 2016 to 2021 was performed. The primary outcome data collected included operating time (OT), estimated blood loss (EBL), and positive surgical margins (PSM). Exclusion criteria were applied. Positive outcomes were set at OT 240 min, blood loss 310 mL, and negative surgical margins. Results: A total of 3969 cases were analysed for a cohort of 53 surgeons. Of these surgeons, 24 surgeons have performed >50 operations to be able to undergo learning curve analysis. The median OT was 229 min, the median blood loss was 353 mL, and most cases had negative surgical margins (>1 mm, n = 3681, 92.7%). The mean learning curve transition point was 65 cases. There was a significant difference in the EBL and rate of PSM for the higher volume cohort (p = 0.002 and <0.0001, respectively). Conclusion: We perform a retrospective study of all RARP performed at a high-volume Australian centre. Higher volume surgeons demonstrate that primary outcomes improve with a higher caseload (EBL, PSM). Learning curve transition points for RARP are comparable to international high-volume surgeons. Learning curve data could form the benchmark for RARP training and skills development.