Comparative Efficacy of Robot-Assisted and Laparoscopic Distal Pancreatectomy: A Single-Center Comparative Study

Author:

Chen Peng1,Zhou Bin2,Wang Tao2,Hu Xiao2,Ye Yongqiang1ORCID,Guo Weidong2ORCID

Affiliation:

1. Department of Hepatobiliary and Pancreatic Surgery, Heze Municipal Hospital, Heze 274000, Shandong Province, China

2. Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong Province, China

Abstract

Background. Laparoscopic distal pancreatectomy (LDP) has become a routine procedure in pancreatic surgery. Although robotic distal pancreatectomy (RDP) has not been popularized yet, it has shown new advantages in some aspects, and exploring its learning curve is of great significance for guiding clinical practice. Methods. 149 patients who received RDP and LDP in our surgical team were enrolled in this retrospective study. Patients were divided into two groups including LDP group and RDP group. The perioperative outcomes, histopathologic results, long-term postoperative complications, and economic cost were collected and compared between the two groups. The cumulative summation (CUSUM) analysis was used to explore the learning curve of RDP. Results. The hospital stay, postoperative first exhaust time, and first feeding time in the RDP group were better than those in the LDP group ( P < 0.05 ). The rate of spleen preservation in patients with benign and low-grade tumors in the RDP group was significantly higher than that of the LDP group ( P = 0.002 ), though the cost of operation and hospitalization was significantly higher ( P < 0.001 ). The learning curve of RDP in our center declined significantly with completing 32 cases. The average operation time, the hospital stay, and the time of gastrointestinal recovery were shorter after the learning curve node than before. Conclusion. RDP provides better postoperative recovery and is not difficult to replicate, but the high cost was still a major disadvantage of RDP.

Publisher

Hindawi Limited

Subject

Health Informatics,Biomedical Engineering,Surgery,Biotechnology

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