P99 A STRUCTURED TRAINING PATHWAY TO IMPLEMENT ROBOT-ASSISTED MINIMALLY INVASIVE ESOPHAGECTOMY (RAMIE): LEARNING CURVE RESULTS FROM A HIGH VOLUME CENTER

Abstract

Abstract Aim The aim of this study was to describe the results of a structured training pathway that was developed to implement robot-assisted minimally invasive esophagectomy (RAMIE) in new centers. Background & Methods To safely and effectively implement RAMIE in new centers, the learning process needs to be optimized. In this context, a structured training pathway was created (Table 1). The results of this training pathway were investigated by evaluating consecutive patients who underwent RAMIE by a single surgeon who followed the structured training pathway. These patients were included from the trainee center’s prospective database. Cumulative sum (CUSUM) learning curves were plotted for thoracic operating time and intraoperative blood loss. Perioperative outcomes were compared between patients who underwent surgery before and after a learning curve plateau occurred. Results Between 2017-2018, the trainee team adhered to the structured training pathway and a total of 70 patients were included. The learning curves showed plateaus after 22 cases. In cases 23-70, 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 the first 22 cases. No significant differences were found for conversion rates, postoperative complications, length of hospital stay, radicality, or mortality. Conclusions The structured RAMIE training pathway results in a short learning curve and is an effective way to introduce RAMIE without compromising the oncological outcomes and complication rates. The pathway is therefore advised to surgeons who are willing to adopt this technique.