Energy-based metrics for laparoscopic skills assessment

Area of Science:

• Surgical Simulation and Training
• Biomechanical Engineering in Medicine
• Minimally Invasive Surgery (MIS) Assessment

Background:

• Minimally invasive surgery (MIS) offers patient benefits like reduced pain and faster recovery.
• Expertise in MIS demands extensive surgical training.
• Current objective performance measures for surgical simulators are insufficient.

Purpose of the Study:

• To propose and evaluate novel metrics for assessing minimally invasive surgical skills based on energy expenditure.
• To determine if energy-based metrics can differentiate between expert and novice surgeons.
• To assess the efficiency of surgical performance using these new metrics.

Main Methods:

• Investigated three energy expenditure metrics: work, potential energy, and kinetic energy.
• Assessed performance on laparoscopic suturing and knot-tying tasks.
• Compared metrics between expert and novice surgeons using surgical simulators.

Main Results:

• All three proposed energy expenditure metrics successfully differentiated between expert and novice surgeons.
• The metrics demonstrated the ability to reflect the efficiency of subjects performing MIS tasks.
• Laparoscopic suturing and knot-tying tasks showed significant differences based on energy expenditure.

Conclusions:

• Energy expenditure metrics provide a viable objective method for assessing minimally invasive surgical skills.
• These metrics can effectively distinguish between different levels of surgical experience.
• Further research can expand the application of these metrics to diverse surgical tasks and skill levels.