Evaluation of the Efficacy and Safety of Indocyanine Green Tracing in 3D Fluorescent Laparoscopic Lymph Node Dissection for Gastric Cancer

Purpose of the study To evaluate whether the clinical efficacy of submucosal injection of indocyanine green tracer laparoscopic gastric cancer lymph node dissection is superior to that of laparoscopic gastric cancer lymph node dissection without indocyanine green tracer in 3D fluorescence laparoscopic mode in patients with gastric adenocarcinoma (cT1-4a, N-/+, M0). To observe the role of submucosal injection of ICG for tumor localization in fluorescence 3D fluorescence laparoscopic surgery and the application of lymph node dissection in laparoscopic radical surgery for gastric cancer. Study design. Multicenter, randomized, open, parallel-controlled, superiority design. Subgroups Group A (experimental group): indocyanine green tracer 3D laparoscopic gastric cancer lymph node dissection group Group B (control group): no indocyanine green tracer 3D laparoscopic gastric cancer lymph node dissection group. Study population Patients who met all the inclusion criteria and did not fall into any of the exclusion criteria were eligible to enter this study. Randomization Patients were first evaluated preoperatively to determine that they could receive laparoscopic radical gastric cancer treatment and receive endoscopic indocyanine green labeling. Once the enrolled cases were determined to meet the admission criteria after laparoscopic exploration, they could be enrolled in this study for randomization. The central dynamic, stratified zone randomization method was used in this study, and the control factors considered were age, tumor site, and preoperative stage. Given the number of seeds and the length of the zones, SAS 9.2 programming was applied to generate the treatment allocation corresponding to the running number 484, which was deposited in the data center. A person at the participating research center was responsible for sending the enrolled case information (age, tumor site, and preoperative stage) to the randomization implementation department at the data center by