Exploring the feasibility of robotic liver resection in a limited resource setting.

Abstract

The transition from open hepatectomy to minimally invasive techniques has reduced morbidity and mortality. However, laparoscopic liver resection (LLR) requires substantial expertise. Robotic liver resection (RLR) combines minimal invasiveness with open surgical precision. It may facilitate complex procedures without the learning required for LLR. We evaluated RLR outcomes in a limited resource setting and assessed its efficacy and practicality. This retrospective study analyzed 67 robotic hepatectomies conducted from 2020 to 2023. Demographic, perioperative factors, and surgical outcomes were analyzed. Major hepatectomies were required in 46/67 (68.7%) patients who underwent RLR. No open conversions, 30-day mortalities, or readmissions occurred. Complications occurred in 7.4% of patients; major complications occurred in 5.9%. Learning curve analysis showed a negative correlation between operation sequence and operative time. Effective use of robotic technology combined with the expertise of well-trained surgeons facilitates successful execution of RLR with feasible surgical outcomes, even at smaller centers.