Lin Chen, Dr, Yunhe Gao, Jiyang Li, Kecheng Zhang, Hongqing Xi, Zhi Qiao, Tianyu Xie, Weising Shen, Jianxin Cui, Bo Wei. Chinese People’s Liberation Army General Hospital
INTRODUCTION: Our previous report has demonstrated robotic assisted gastrectomy (RAG) is as acceptable as laparoscopic assisted gastrectomy in the perspective of short-term surgical and oncological outcomes. However, the long term survival and recurrence rate after RAG and LAG for advanced gastric cancer has seldom been reported.
METHODS AND PROCEDURES: We retrospectively evaluated 215 and 407 advanced non-metastatic GC patients underwent RAG and LAG surgery between August 2011 and August 2014 in our institution, respectively. A comparative study was performed on short- and long-term outcomes.
RESULTS: RAG was associated with less blood loss (182.9±108.3 ml vs 221.2±129.1ml,p<0.001), more lymph nodes harvest(31.7±10.4 vs 29.5±11.3, p=0.022), longer operative time (249.5±63 vs 213.1±60.1 min, p<0.001) compared with LAG group, while R0 resection rate, conversion rate, postoperative complications, proximal and distal margin, hospital stay, days of first flatus and days of first liquid diet between two groups showed no significant differences. However, when comparing RAG and 3D (3 Dimensional) laparoscopic subgroup only, the difference of lymph nodes harvest became insignificant(31.7±10.4 vs 30.2±9.5, p=0.174). Moreover, the survival analysis revealed no statistically significant differences in 3-year overall survival (OS) (RAG vs LAG, 90.1% vs 92.8%, p=0.732) or recurrence-free survival (RFS) (RAG vs LAG, 85.2% vs 86.9%, p=0.671) between the two groups, either in the entire cohort or different stages.
CONCLUSIONS: RAG is an acceptable safe procedure as LAG in terms of the long-term oncological outcomes, while RAG might have some differences in terms of short-term surgical characteristics, such as less blood loss and longer operative time.
Presented at the SAGES 2017 Annual Meeting in Houston, TX.
Abstract ID: 87207
Program Number: S100
Presentation Session: Robotics 2 Session
Presentation Type: Podium