The Learning Curve of Da Vinci Robot-Assisted Hemicolectomy for Colon Cancer: A Retrospective Study of 76 Cases at a Single Center

Background and Aims: Robotic-assisted right hemicolectomy (RARH) has many benefits in treating colon cancer, but it is a new technology that needs to be evaluated. This study aims to assess the learning curve (LC) of RARH procedures with the complete mesoscopic exception and D3 lymph node dissection for colon carcinoma. Methods: A retrospective analysis was performed on a consecutive series of 76 patients who underwent RARH from July 2014 to March 2018. The operation time was evaluated using the cumulative sum (CUSUM) method to analyze the LC. The patients were categorized into two groups based on the LC: Phase I and Phase II. Statistical methods were used to compare clinicopathological data on intraoperative and perioperative outcomes at different stages of the study. Results: The peak point of the LC was observed in the 27th case. Using the CUSUM method, we divide the LC into two stages. Stage 1 (initial learning stage): Cases 1-27 and Stage 2 (proficiency phase): Cases 28-76. There were no obvious distinctions between the two patients' essential characteristics (age, sex, body mass index, clinical stage, and ASA score). The mean operation time of each group is 187.37 +/- 45.56 min and 161.1 +/- 37.74 min (P = 0.009), respectively. The intraoperative blood loss of each group is 170.4 +/- 217.2 ml and 95.7 +/- 72.8 ml (P = 0.031), respectively. Conclusion: Based on the LC with CUSUM analysis, the data suggest that the learning phase of RARH was achieved after 27 cases. The operation time and the intraoperative blood loss decrease with more cases performed.