Deep infiltrating endometriosis: Interest of the robotic approach for a fledgling team

Julie Poujois, C. Malartic, R. Callec, Laurent Bresler, Nicolas Hubert, P. Judlin, Oliver Morel
In: Journal of Endometriosis and Pelvic Pain Disorders · 2019 · vol. 11(3) , pp. 152–157 · doi:10.1177/2284026519850369 · W2947536192
article OA: closed CC0 ⤵ 1 in-corpus citation
View on OpenAlex View at publisher
⚙ AI-generated summary by claude@2026-06, 2026-06-08 ⓘ

This study evaluated the safety and feasibility of robotic surgery for deep infiltrating endometriosis in a new team, finding no learning curve effect on surgical outcomes and duration.

One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works

Abstract

Introduction: Mini-invasive surgery of deep endometriosis is challenging. Surgical difficulties related to the technical limitations of classical laparoscopic approach might be overcome with the use of robotic assistance. The aim of this study was to evaluate the safety and feasibility of robotic surgery for deep infiltrating endometriosis in the learning phase of our team. Methods: The 20 first cases of robotic-assisted laparoscopies for endometriosis were included over a 2-year period. Baseline characteristics of patients and surgical data were reviewed. Surgical outcomes and follow-up information of the patients were analyzed. Results: Twenty women were included. The mean age was 31.9 years (range: 25–44) and mean body mass index was 23 kg/m 2 (range: 16–35). Ten patients had rectovaginal or uterosacral location only (50%) and nine women had deep infiltrating endometriosis with digestive or urinary tract lesions (45%). In addition to the gynecologic surgeon, urologic or visceral surgeons were required in 10 cases, and there were 3 cases where the three specialties were needed. The mean operative time was 183.9 min (range: 85–398) and no difference was observed between the first five cases and the last five cases. There was one laparoconversion, and only two urologic postoperative complications occurred. Conclusion: Thanks to the use of robotic surgical assistance and a multidisciplinary approach, and despite the start of the team for deep endometriosis care, no learning curve effect was observed regarding surgical procedures’ success, safety, or duration. The use of robotic assistance might improve the quality of care for women facing deep endometriosis.

My notes (saved in your browser only)

Condition tags

endometriosisdie_deep_infiltrating

Citation neighborhood

Papers in the corpus that this work cites (lower rings, blue) and that cite this one (upper rings, green). Dot size scales with the paper's in-corpus citation count — bigger dot = more influential within the endo/adeno field. Click a dot to open that paper. [ expand to 2 hops ] — adds papers reached through this work's immediate citers/citees. Heavier; up to 60 extra dots.

References (27)

Cited by (1)

Source provenance

openalex
last seen: 2026-06-10T17:14:06.276822+00:00
License: CC0 · commercial use OK