Performing robot-assisted pylorus and vagus nerve-preserving gastrectomy for early gastric cancer: A case series of initial experience.

Abstract

Pylorus and vagus nerve-preserving gastrectomy (PPG) is a function-preserving surgery for early gastric cancer (GC) that has gained considerable interest in the recent years. The operative technique performed using the Da Vinci Xi robot system is considered ideal for open and laparoscopic surgery. To introduce Da Vinci Xi robot-assisted PPG (RAPPG)-based operative procedure and technical points as well as report the initial experience based on the clinical pathology data of eight cases of early GC. Da Vinci Xi robot-assisted pylorus and vagus nerve-preserving gastrectomy (RAPPG) was performed for 11 consecutive patients with middle GC from December 2020 to July 2021. Outcome measures were postoperative morbidity, operative time, blood loss, number of lymph nodes harvested, postoperative hospital stay, time to first flatus, time to diet, and resection margins. Eight of the 11 patients who were pathologically diagnosed with early GC were enrolled in a retrospective study to assess the feasibility and safety of RAPPG. The mean operative time, mean blood loss, mean number of lymph nodes harvested, length of preserved pylorus canal, distal margin, and proximal margin were 330.63 ± 47.24 min, 57.50 ± 37.70 mL, 18.63 ± 10.57, 3.63 ± 0.88 cm, 3.50 ± 1.31 cm, and 3.63 ± 1.19 cm, respectively. None of the cases required conversion to laparotomy. Postoperative complications occurred in two (25.0%) patients. Postoperative complications were hyperamylasemia and gastric stasis in one case and incision infection in the other. Time to first flatus was 3.75 ± 2.49 d after the operation, and postoperative hospital stay was 10.13 ± 4.55 d. The core technique in the Da Vinci Xi RAPPG is lymph node dissection and the anatomic method of the nerve. Robotic surgical procedures are feasible and safe. With the progress of surgical technology, optimization of medical insurance structure, and emergence of evidence-based medicine, automated surgery systems will have a broad application in clinical treatment.