Robotic versus laparoscopic surgery for colorectal cancer: a case-control study

Author:

Grosek Jan12,Ales Kosir Jurij1,Sever Primoz1,Erculj Vanja3,Tomazic Ales12

Affiliation:

1. Department of Abdominal Surgery, Ljubljana University Medical Center , Ljubljana , Slovenia

2. Medical Faculty, University of Ljubljana , Ljubljana , Slovenia

3. Faculty of Criminal Justice and Security, University of Maribor , Ljubljana , Slovenia

Abstract

Abstract Background Robotic resections represent a novel approach to treatment of colorectal cancer. The aim of our study was to critically assess the implementation of robotic colorectal surgical program at our institution and to compare it to the established laparoscopically assisted surgery. Patients and methods A retrospective case-control study was designed to compare outcomes of consecutively operated patients who underwent elective laparoscopic or robotic colorectal resections at a tertiary academic centre from 2019 to 2020. The associations between patient characteristics, type of operation, operation duration, conversions, duration of hospitalization, complications and number of harvested lymph nodes were assessed by using univariate logistic regression analysis. Results A total of 83 operations met inclusion criteria, 46 robotic and 37 laparoscopic resections, respectively. The groups were comparable regarding the patient and operative characteristics. The operative time was longer in the robotic group (p < 0.001), with fewer conversions to open surgery (p = 0.004), with less patients in need of transfusions (p = 0.004) and lower reoperation rate (p = 0.026). There was no significant difference between the length of stay (p = 0.17), the number of harvested lymph nodes (p = 0.24) and the overall complications (p = 0.58). Conclusions The short-term results of robotic colorectal resections were comparable to the laparoscopically assisted operations with fewer conversions to open surgery, fewer blood transfusions and lower reoperation rate in the robotic group.

Publisher

Walter de Gruyter GmbH

Subject

Radiology, Nuclear Medicine and imaging,Oncology

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