Developing a robotic prostatectomy service and a robotic fellowship programme - defining the learning curve

Area of Science:

• Urology
• Surgical Oncology
• Minimally Invasive Surgery

Background:

• Robotic radical prostatectomy (RRP) is a key treatment for prostate cancer in expert centers.
• Developing an RRP service involves surgeon training and establishing fellowship programs.
• Assessing the learning curve is crucial for optimizing RRP outcomes.

Purpose of the Study:

• To evaluate the learning curve of three surgeons performing RRP.
• To assess the impact of experience on peri-operative and oncological outcomes.
• To determine the safety and efficacy of RRP during service development.

Main Methods:

• A retrospective analysis of 300 consecutive RRP cases (Nov 2008 - Aug 2012).
• Patients were divided into three groups of 100 to track learning curve progression.
• Peri-operative outcomes (console time, hospital stay) and oncological results (positive surgical margins) were compared.

Main Results:

• Significant reductions in console time, operating time, hospital stay, and catheter duration were observed across the groups.
• Initial PSA and tumor stage were key predictors of positive surgical margins (PSM).
• The overall PSM rate was 26.7%, with a reduction in T2/T3 tumors as experience grew; major complications were low (2%).

Conclusions:

• RRP is a safe procedure with low morbidity.
• Surgeon experience on the learning curve directly correlates with improved peri-operative and oncological outcomes.
• A structured, mentored approach enables safe introduction of RRP without compromising patient outcomes.