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Robotic major hepatectomy: Is there a learning curve?
Po-Da Chen1, Chao-Yin Wu1, Rey-Heng Hu1
1Department of Surgery, National Taiwan University and National Taiwan University Hospital, Taipei, Taiwan.
Surgery
|November 26, 2016
Summary
This study details the learning curve for robotic major hepatectomy, revealing three phases. Shorter operation times and hospital stays emerge after the initial phase, with reduced blood loss following the second phase.
Area of Science:
- Minimally Invasive Surgery
- Surgical Oncology
- Hepatobiliary Surgery
Background:
- Robotic hepatectomy is recognized for its safety and efficacy in liver disease management.
- A significant gap exists in large-scale documentation of the learning curve for robotic major hepatectomy procedures.
Purpose of the Study:
- To evaluate the learning curve associated with robotic major hepatectomy.
- To analyze operative time, blood loss, and hospital stay in relation to surgical experience.
Main Methods:
- Retrospective analysis of robotic major hepatectomies performed by a single team (2012-2015).
- Utilized the cumulative sum (CUSUM) method to assess the learning curve based on operation time.
- Categorized procedures into left hemihepatectomy, right hemihepatectomy, and various trisectionectomies.
Main Results:
- The learning curve for robotic major hepatectomy was divided into three phases: initial (15 patients), intermediate (25 patients), and mature (52 patients).
- Operation time and hospital stay decreased after phase 1, while blood loss reduced after phase 2.
- Malignancies were present in 59% of patients, with advanced stages correlating to increased intraoperative blood loss.
Conclusions:
- This series represents the largest to date on robotic major hepatectomy.
- A structured training program incorporating learning curve analysis is recommended for novice robotic hepatectomy surgeons.
- The findings provide insights into the evolution of minimally invasive hepatectomy techniques.
