ABSTRACT
To ensure safe implementation of robot-assisted minimally invasive esophagectomy (RAMIE), the learning process should be optimized. This study aimed to report the results of a surgeon who implemented RAMIE in a German high-volume center by following a tailored and structured training pathway that involved proctoring. Consecutive patients who underwent RAMIE during the course of the program were included from a prospective database. A single surgeon, who had prior experience in conventional MIE, performed all RAMIE procedures. Cumulative sum (CUSUM) learning curves were plotted for the thoracic operating time and intraoperative blood loss. Perioperative outcomes were compared between patients who underwent surgery before and after a learning curve plateau occurred. Between 2017 and 2018, the adopting center adhered to the structured training pathway, and a total of 70 patients were included in the analysis. The CUSUM learning curves showed plateaus after 22 cases. In consecutive cases 23 to 70, the operating time was shorter for both the thoracic phase (median 215 vs. 249 minutes, P = 0.001) and overall procedure (median 394 vs. 440 minutes, P = 0.005), intraoperative blood loss was less (median 210 vs. 400 milliliters, P = 0.029), and lymph node yield was higher (median 32 vs. 23 nodes, P = 0.001) when compared to cases 1 to 22. No significant differences were found in terms of conversion rates, postoperative complications, length of stay, completeness of resection, or mortality. In conclusion, the structured training pathway resulted in a short and safe learning curve for RAMIE in this single center’s experience. As the pathway seems effective in implementing RAMIE without compromising the early oncological outcomes and complication rates, it is advised for surgeons who are wanting to adopt this technique.
How Does the Surgeon's Experience of Abdominal Operations Influence the Learning Curves for Robot-Assisted Vascular Anastomosis?
