Publication Details

AFRICAN RESEARCH NEXUS

SHINING A SPOTLIGHT ON AFRICAN RESEARCH

medicine

Comparison of robotic-assisted and conventional laparoscopy in the management of adnexal masses

Journal of Minimally Invasive Gynecology, Volume 21, No. 6, Year 2014

Study Objective: To compare the outcome of robotic-assisted laparoscopy vs conventional laparoscopy in the management of ovarian masses. Design: Retrospective cohort (Canadian Task Force classification II-3). Setting: Academic medical centre in the northeast United States. Patients: Retrospective medical record review of 71 consecutive patients with presumed benign ovarian masses. Intervention: Robotic-assisted laparoscopy in 30 patients with presumed benign ovarian masses was compared with conventional laparoscopy in 41 patients. Measurements and Main Results: Operative outcomes including operative time, estimated blood loss, length of hospital stay, and complications were recorded. Standard statistical analysis was used to compare the outcomes in the 2 groups. Mean (SD) operative time in the robotic group was 1.95 (0.63) hours, which was significantly longer than in the conventional laparoscopic group, 1.28 (0.83) hours (p=.04). Estimated blood loss in the robotic group was 74.52 (56.23) mL, which was not significantly different from that in the conventional laparoscopic group, 55.97 (49.18) mL. There were no significant differences in length of hospital stay between the robotic and conventional laparoscopic groups: 1.20 (0.78) days and 1.48 (0.63). Conversion to laparotomy was not necessary in either group of patients. Intraoperative and postoperative complications were similar between the 2 groups. Conclusion: Robotic-assisted laparoscopy is a safe and efficient technique for management of various types of ovarian masses. However, conventional laparoscopy is preferred for management of ovarian masses because of shorter operative time. Prospective studies are needed to evaluate the outcomes of robotic-assisted laparoscopic management of benign and malignant ovarian neoplasms.
Statistics
Citations: 9
Authors: 9
Affiliations: 4
Identifiers
Research Areas
Cancer
Health System And Policy
Study Design
Randomised Control Trial
Cohort Study
Study Approach
Quantitative