Robotic Rectal Cancer Resection: A Retrospective Multicenter Analysis. Academic Article uri icon

Overview

abstract

  • BACKGROUND: Conventional laparoscopy has been applied to colorectal resections for more than 2 decades. However, laparoscopic rectal resection is technically demanding, especially when performing a tumor-specific mesorectal excision in a difficult pelvis. Robotic surgery is uniquely designed to overcome most of these technical limitations. The aim of this study was to confirm the feasibility of robotic rectal cancer surgery in a large multicenter study. METHODS: Retrospective data of 425 patients who underwent robotic tumor-specific mesorectal excision for rectal lesions at seven institutions were collected. Outcome data were analyzed for the overall cohort and were stratified according to obese versus non-obese and low versus ultra-low resection patients. RESULTS: Mean age was 60.9 years, and 57.9 % of patients were male. Overall, 51.3 % of patients underwent neoadjuvant therapy, while operative time was 240 min, mean blood loss 119 ml, and intraoperative complication rate 4.5 %. Mean number of lymph nodes was 17.4, with a positive circumferential margin rate of 0.9 %. Conversion rate to open was 5.9 %, anastomotic leak rate was 8.7 %, with a mean length of stay of 5.7 days. Operative times were significantly longer and re-admission rate higher for the obese population, with all other parameters comparable. Ultra-low resections also had longer operative times. CONCLUSION: Robotic-assisted minimally invasive surgery for the treatment of rectal cancer is safe and can be performed according to current oncologic principles. BMI seems to play a minor role in influencing outcomes. Thus, robotics might be an excellent treatment option for the challenging patient undergoing resection for rectal cancer.

publication date

  • December 9, 2014

Research

keywords

  • Adenocarcinoma
  • Digestive System Surgical Procedures
  • Minimally Invasive Surgical Procedures
  • Postoperative Complications
  • Rectal Neoplasms
  • Robotic Surgical Procedures

Identity

Scopus Document Identifier

  • 84930472879

Digital Object Identifier (DOI)

  • 10.1245/s10434-014-4278-1

PubMed ID

  • 25487966

Additional Document Info

volume

  • 22

issue

  • 7