How long do we need to reach sufficient expertise with the avatera® robotic system?

Int Urol Nephrol. 2024 May;56(5):1577-1583. doi: 10.1007/s11255-023-03914-5. Epub 2024 Jan 4.

Abstract

Purpose: To investigate the learning curve in four basic surgical skills in laparoscopic and robotic surgeries, and evaluate the approximate time needed to reach sufficient expertise in performing these tasks with the avatera® system.

Methods: Twenty urology residents with no previous experience in dry-lab and robotic surgery were asked to complete four basic laparoscopic tasks (peg transfer, circle cutting, needle guidance, and suturing) laparoscopically and robotically. All participants were asked to complete the tasks first after watching the Uroweb educational material and, second, after undertaking a 2-hour training in robotic and laparoscopic dry-lab. Thereafter, all trainees continued to undertake 2-hour training programs until being able to complete the tasks with the avatera® robot at the desired time. Paired t test and one-way ANOVA test were used to analyze time differences between the groups.

Results: Time needed to complete all tasks either robotically or laparoscopically was significantly less in the second compared to the first attempt for all Groups in each Task. In the robotic dry-lab, time needed to complete the tasks was significantly less than in the laparoscopic dry-lab. A significant effect of previous laparoscopic experience of the participants on the training time needed to achieve most of the goal times was detected.

Conclusion: The results of the study highlight the role of previous laparoscopic experience in the training time needed to achieve the performance time goals and demonstrate that the learning curve of basic surgical skills using the avatera® system is steeper than the laparoscopic one.

Keywords: Avatera® system; Dry lab; Learning curve; Robotic system; Training.

MeSH terms

  • Clinical Competence
  • Humans
  • Laparoscopy* / methods
  • Learning Curve
  • Robotic Surgical Procedures* / methods
  • Robotics* / education