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Manual Ambidexterity Predicts Robotic Surgical Proficiency
Jun-Young Yang1, Young-Gil Son1, Tae Han Kim1
11 Department of Surgery, Seoul National University College of Medicine , Seoul, Korea.
Journal of Laparoendoscopic & Advanced Surgical Techniques. Part A
|December 18, 2015
Summary
Manual dexterity, particularly ambidexterity, predicts initial robotic surgical skill. While training improves proficiency, difficult robotic tasks require more practice for manual dexterity to become less critical.
Area of Science:
- Surgical Education
- Minimally Invasive Surgery
- Surgical Simulation
Background:
- Surgeon manual dexterity is linked to surgical proficiency.
- Objective skill assessment now utilizes simulators.
- Investigating manual dexterity's role in laparoscopic and robotic surgery.
Purpose of the Study:
- To assess the impact of manual dexterity on laparoscopic and robotic surgical proficiency using simulators.
- To differentiate the influence of dexterity speed and ambidexterity on surgical performance.
Main Methods:
- 32 participants (surgeons, residents, students) assessed using the Grooved Pegboard Test for dexterity speed and ambidexterity.
- Performance evaluated across three sessions of laparoscopic suturing (D-box trainer) and robotic suturing (da Vinci® Skills Simulator™).
Main Results:
- Laparoscopic suturing performance was primarily influenced by surgical experience, not manual dexterity.
- Robotic suturing proficiency was significantly affected by ambidexterity, more so than dexterity speed.
- For easier robotic tasks, proficiency gaps narrowed with training; difficult tasks showed persistent gaps.
Conclusions:
- Ambidexterity is an initial predictor of robotic surgical simulation proficiency.
- Skill acquisition through training can reduce the impact of ambidexterity.
- Complex robotic tasks may necessitate extended training for proficiency gains.
