Learning Curve and Optimization of Robotic Gastrectomy

Enlightenment of Robotic Gastrectomy From 527 Patients With Gastric Cancer in the Minimally Invasive Era: 5 Years of Optimizing Surgical Performance in a High-volume Center

we explore the learning curve and the impact of technique optimization on surgical outcomes and the first to construct a referenceable learning phase for performing robotic gastric cancer surgery.

Inclusion Criteria:

• Case inclusion criteria: (1) patients with pathologically confirmed gastric adenocarcinoma; (2) no distant metastases; and (3) R0 resection was performed.

Exclusion Criteria:

• Case exclusion criteria: (1) the presence of distant metastases was found ; (2) preoperative neoadjuvant chemotherapy was administered; and (3) clinical information was incomplete.