Baseline Laparoscopic Skill May Predict Baseline Robotic Skill and Early Robotic Surgery Learning Curve

Area of Science:

• Surgical Education
• Minimally Invasive Surgery
• Medical Simulation

Background:

• Robotic surgery training presents a unique learning curve for each individual.
• Individualized training curricula can be developed with knowledge of a trainee's baseline skills.
• Assessing baseline skills can predict robotic surgery learning curve progression.

Purpose of the Study:

• To determine if baseline laparoscopic skill predicts baseline robotic skill.
• To assess if baseline laparoscopic skill predicts the short-term learning curve in robotic surgery.

Main Methods:

• 32 surgical trainees from four specialties participated in a 4-week simulation-based robotic surgery course.
• Baseline laparoscopic and robotic skills were assessed using peg transfer (PT) and intracorporeal suturing and knot tying (ISKT) tasks.
• Robotic skills were reassessed 1 week post-course, with all tasks video-recorded and scored by blinded experts.

Main Results:

• Baseline advanced laparoscopic skill (ISKT) correlated with baseline robotic ISKT performance.
• Baseline advanced laparoscopic skill (ISKT) predicted post-course robotic PT and ISKT performance.
• Baseline robotic ISKT performance, not PT, correlated with post-course robotic skill acquisition.

Conclusions:

• Baseline laparoscopic skill is a predictor of certain baseline robotic skills.
• Proficiency in advanced laparoscopic tasks may indicate a shorter learning curve for basic robotic skills.
• These findings support the development of more personalized robotic surgery training programs.