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Laparoscopic vascular anastomoses: does robotic (Zeus–Aesop) assistance help to overcome the learning curve?
- Source :
- Surgical endoscopy, 19(8), 1071-1076. Springer New York
- Publication Year :
- 2005
- Publisher :
- Springer Science and Business Media LLC, 2005.
-
Abstract
- Background: Considerable training is necessary to master laparoscopic suturing and knot-tying. Robotic systems are assumed to facilitate these skills and shorten the learning curve. The effect of laparoscopic experience and robotic assistance on the learning curve of vascular anastomoses was studied. Methods: A laparoscopically experienced surgeon and a laparoscopically inexperienced surgeon made alternating laparoscopic vascular anastomoses and robot-assisted laparoscopic vascular anastomoses using a Zeus-Aesop surgical robotic system with various prosthetic conduits and suture materials in a laparoscopic training box. Results: Neither laparoscopic method influenced the quality score or leakage rate, but with laparoscopic experience, significantly fewer failures were made. Suturing and knot-tying were faster with laparoscopic experience both with and without the robotic system, and fewer stitch actions and knot actions were performed. The learning curves of both surgeons were not improved by the robotic system. Conclusions: Experience is the most important factor in the performance of laparoscopic vascular anastomoses. The robotic system was not helpful in shortening the learning curve
- Subjects :
- medicine.medical_specialty
medicine.diagnostic_test
business.industry
Anastomosis, Surgical
Suture Techniques
Leakage rate
technology, industry, and agriculture
Robotics
Anastomosis
Endoscopy
Surgery
body regions
surgical procedures, operative
Robotic systems
Learning curve
Medicine
Laparoscopy
Artificial intelligence
business
Vascular Surgical Procedures
human activities
Laparoscopic training
Subjects
Details
- ISSN :
- 14322218 and 09302794
- Volume :
- 19
- Database :
- OpenAIRE
- Journal :
- Surgical Endoscopy
- Accession number :
- edsair.doi.dedup.....e41130e9ddc24d1c130434becd34ff3e
- Full Text :
- https://doi.org/10.1007/s00464-004-2178-3