Defining the learning curve for robotic pancreaticoduodenectomy for a single surgeon following experience with laparoscopic pancreaticoduodenectomy.

Abstract

Robotic pancreaticoduodenectomy (RPD) has a learning curve of approximately 30-250 cases to reach proficiency. The learning curve for laparoscopic pancreaticoduodenectomy (LPD) at Duke University was previously defined as 50 cases. This study describes the RPD learning curve for a single surgeon following experience with LPD. LPD and RPD were retrospectively analyzed. Continuous pathologic and perioperative metrics were compared and learning curve were defined with respect to operative time using CUSUM analysis. Seventeen LPD and 69 RPD were analyzed LPD had an inverted learning curve possibly accounting for proficiency attained during the surgeon's fellowship and acquisition of new skills coinciding with more complex patient selection. The learning curve for RPD had three phases: accelerated early experience (cases 1-10), skill consolidation (cases 11-40), and improvement (cases 41-69), marked by reduction in operative time. Compared to LPD, RPD had shorter operative time (379 vs 479min, p < 0.005), less EBL (250 vs 500, p < 0.02), and similar R0 resection. RPD also had improved LOS (7 vs 10days, p < 0.007), and lower rates of surgical site infection (10% vs 47%, p < 0.002), DGE (19% vs 47%, p < 0.03), and readmission (13% vs 41%, p < 0.02). Experience in LPD may shorten the learning curve for RPD. The gap in surgical quality and perioperative outcomes between LPD and RPD will likely widen as exposure to robotics in General Surgery, Hepatopancreaticobiliary, and Surgical Oncology training programs increase.