首页 /研究 /Efficacy of robotic-assisted surgery in colorectal cancer: A systematic review and meta-analysis.
SURGICAL

Efficacy of robotic-assisted surgery in colorectal cancer: A systematic review and meta-analysis.

David R. Chow, Bruce E. Stabile, B. Lee

发表年份
2011
引用次数
2

摘要

e14125 Background: Laparoscopic assisted colorectal surgery is an accepted mode of treatment for colorectal cancer. The addition of robotics has been reported by some to improve technical aspects of minimally invasive surgery. The aim of this review was to evaluate surgical and oncological parameters in robotically assisted colorectal surgery for malignancy. Methods: The study was a retrospective analysis of a publicly available database and exempt from Institutional Review Board approval. A systematic review of publications concerning robotically assisted surgery and colorectal cancer was performed for the years 1993 to 2011. Numbers of patients, mean age, TNM staging, mean lymph node extraction, margin status, mean operating time, and conversion rates were recorded. Results: Initial search yielded a total of 254 articles, of which 12 were selected for data extraction. A total of 518 patients were identified from these studies as having a robotically assisted surgery for their malignancy. Mean operative time was 262.3 minutes. 12 operations were converted to an open procedure. 5 (0.9%) patients had a positive margin, 4 of which were the circumferential radial margins in rectal cancer. The mean lymph node retrieval was 16.1. Anastomotic complications occurred in 29 patients. Conclusions: Robotically assisted surgery for colorectal cancer can be performed safely. Review of the literature resulted in acceptable morbidity rate, lymph node retrieval rate, and positive margin rate. These outcomes should be interpreted with caution until results of survival and recurrence rates are reported.

关键词

MedicineColorectal cancerLymph nodeSurgeryLaparoscopic surgeryMalignancyResection marginColorectal surgeryRobotic surgeryGeneral surgery

相关论文

查看 SURGICAL 分类全部论文