Emergency robotic surgery: the experience of a single center and review of the literature

Autor: Graziano Ceccarelli, Fausto Catena, Pasquale Avella, Brian WCA Tian, Fabio Rondelli, Germano Guerra, Michele De Rosa, Aldo Rocca
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: World Journal of Emergency Surgery, Vol 19, Iss 1, Pp 1-17 (2024)
Druh dokumentu: article
ISSN: 1749-7922
DOI: 10.1186/s13017-024-00555-6
Popis: Abstract Backgrounds Laparoscopic surgery is widely used in abdominal emergency surgery (AES), and the possibility of extending this approach to the more recent robotic surgery (RS) arouses great interest. The slow diffusion of robotic technology mainly due to high costs and the longer RS operative time when compared to laparoscopy may represent disincentives, especially in AES. This study aims to report our experience in the use of RS in AES assessing its safety and feasibility, with particular focus on intra- and post-operative complications, conversion rate, and surgical learning curve. Our data were also compared to other experiences though an extensive literature review. Methods We retrospectively analysed a single surgeon series of the last 10 years. From January 2014 to December 2023, 36 patients underwent urgent or emergency RS. The robotic devices used were Da Vinci Si (15 cases) and Xi (21 cases). Results 36 (4.3%) out of 834 robotic procedures were included in our analysis: 20 (56.56%) females. The mean age was 63 years and 30% of patients were ≥ 70 years. 2 (5.55%) procedures were performed at night. No conversions to open were reported in this series. According to the Clavien-Dindo classification, 2 (5.5%) major complications were collected. Intraoperative and 30-day mortality were 0%. Conclusions Our study demonstrates that RS may be a useful and reliable approach also to AES and intraoperative laparoscopic complications when performed in selected hemodynamically stable patients in very well-trained robotic centers. The technology may increase the minimally invasive use and conversion rate in emergent settings in a completely robotic or hybrid approach.
Databáze: Directory of Open Access Journals
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