en
Scientific article
Open access
English

Laparoscopic management of giant ovarian cysts using the alexis laparoscopic system®: a case series

Published inFrontiers in Surgery, vol. 7, 24
Publication date2020
Abstract

Objective: The aim of this study was to review the characteristics of patients who underwent laparoscopic removal of giant ovarian cysts using the Alexis Laparoscopic System® and confirm the safety and feasibility of this technique. Method: We conducted a retrospective review of data of women undergoing the procedure from March 2014 to February 2019. Inclusion criteria were ovarian cysts of at least 15 cm. Exclusion criteria were the presence of solid components and suspicion of neoplasia on imaging. Results: Six patients were included in the series. Median size of the cysts at imaging was 22.8 cm (range 15-30 cm), while median volume was 5.9 L (range 1.9-15.6 L). Mean age of operated women was 59 years (range 21-88 years). All patients underwent exclusive laparoscopic management except one patient who underwent a conversion into midline laparotomy. The size of the skin incision initially performed to puncture the cyst ranged from 2.5 to 4 cm. On final pathological reports, two cysts were mucinous cystadenomas, and four were serous cystadenomas. There was no epithelial ovarian cancer or borderline tumor in any of the specimen operated. Conclusion: Laparoscopic management of giant ovarian cysts using the Alexis Laparoscopic System® is safe and feasible in well-selected cases. Midline laparotomy can thus be avoided, decreasing the risk of post-operative complications and increasing quality of life of patients.

Keywords
  • Giant
  • Cap
  • Laparoscopy
  • Mini-invasive surgery
  • Ovarian cyst
Citation (ISO format)
DUBUISSON, Jean et al. Laparoscopic management of giant ovarian cysts using the alexis laparoscopic system®: a case series. In: Frontiers in Surgery, 2020, vol. 7, p. 24. doi: 10.3389/fsurg.2020.00024
Main files (1)
Article (Published version)
Identifiers
ISSN of the journal2296-875X
218views
69downloads

Technical informations

Creation08/17/2020 2:05:00 PM
First validation08/17/2020 2:05:00 PM
Update time03/15/2023 10:47:35 PM
Status update03/15/2023 10:47:34 PM
Last indexation02/12/2024 11:56:10 AM
All rights reserved by Archive ouverte UNIGE and the University of GenevaunigeBlack