Objective evaluation of expert performance during human robotic surgical procedures

Area of Science:

• Minimally Invasive Surgery
• Surgical Simulation
• Robotics in Medicine

Background:

• Robotic laparoscopic surgery offers significant benefits but lacks robust performance evaluation methods in real surgical settings.
• Quantitative measures for assessing robotic surgical proficiency have been previously developed.
• The transferability of skills from simulated training to actual operating room performance remains a critical research area.

Purpose of the Study:

• To determine if performance in robotic surgical training tasks is equivalent to performance during actual human robotic laparoscopic surgical procedures.
• To compare objective performance metrics between simulated tasks and real-world surgical scenarios.
• To evaluate the effectiveness of current training tasks in predicting surgical performance.

Main Methods:

• An expert surgeon with over 5 years of experience performed standardized training tasks (needle passing, suture tying) and a human laparoscopic procedure (Nissan fundoplication) using the da Vinci™ Surgical System.
• Objective performance data, including time, distance, speed, curvature, and grip force, were collected at the instrument tips.
• Single-subject analysis was employed to compare performance metrics between training tasks and relevant segments of the human surgical procedure.

Main Results:

• Significant differences (8 out of 13 objective measures) were observed between training task performance and human surgical performance for both needle passing and suture tying.
• Surgeons exhibited slower movements, increased curvature, and higher grip force during actual human robotic surgery compared to training tasks.
• While performance in training tasks may appear superior, increased caution in the operating room likely accounts for these differences.

Conclusions:

• Current needle passing and suture tying training tasks may establish foundational skills but may not fully translate to operating room performance.
• Further development of more realistic training tasks is recommended to better predict performance and assess skill transfer in robotic surgery.
• Enhanced training simulations are crucial for improving the efficacy of robotic surgical skill acquisition and its application in clinical practice.