New technologies in the surgical management of endometriosis

Angioni, Stefano;
2023-01-01

Abstract

Introduction: Endometriosis is a very common disease that affects up to 10% of the female population. Although medical therapy represents the first-line treatment for endometriosis, it does not always manage to control symptoms. Laparoscopy represents the standard surgical treatment in endometriosis. Robotic-assisted laparoscopy is an innovative mini-invasive surgical technique. Its application in gynecological surgery and in endometriosis has increased in the last decade. Our purpose is to offer an overview of the role of robotic-assisted laparoscopy in the surgical treatment of endometriosis. Methods: We evaluated studies dealing with the new technique in surgery for endometriosis with a focus on robotic surgery. We performed a compressive literature research on PubMed and the Cochrane Library in December 2022. Expert opinion: Robotic-assisted surgery is a feasible and safe approach to endometriosis surgery and is superimposable to laparoscopy in terms of complication rate, blood loss, hospitalization, and long-term improvement of symptoms. The effect of robotic-assisted surgery on operative time is still contradictory and needs to be further investigated. Robotic-assisted laparoscopic surgery can provide particular benefit in the management of women with severe endometriosis secondary to its advantage in surgical precision and ergonomics. Indocyanine green fluorescence angiography could be useful to assist in the vascularization of ureters and bowel anastomosis, to prevent postoperative complication and leakage.
2023
Inglese
10
50
54
5
https://journals.aboutscience.eu/index.php/aboutopen/article/view/2547
Esperti anonimi
internazionale
scientifica
Deep endometriosis; Endometriosis; Indocyanine green, Laparoscopy; Robotic surgery; Surgical treatment
Goal 3: Good health and well-being
no
Massimello, Francesca; Di Spiezio Sardo, Attilio; Bifulco, Giuseppe; Angioni, Stefano; Cela, Vito
1.1 Articolo in rivista
info:eu-repo/semantics/article
1 Contributo su Rivista::1.1 Articolo in rivista
262
5
open
Files in This Item:
File Size Format  
AO_2547_2023_50-54.pdf

open access

Type: versione editoriale
Size 1.58 MB
Format Adobe PDF
1.58 MB Adobe PDF View/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Questionnaire and social

Share on:
Impostazioni cookie