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Viewpoint matters: objective performance metrics for surgeon endoscope control during robot-assisted surgery.

Anthony M Jarc1, Myriam J Curet2,3

  • 1Medical Research, Intuitive Surgical, Inc., 5655 Spalding Drive, Norcross, GA, 30092, USA. anthony.jarc@gmail.com.

Surgical Endoscopy
|July 17, 2016
PubMed
Summary

Novel camera metrics effectively measure surgeon proficiency in robot-assisted minimally invasive surgery (RAMIS). These metrics correlate with traditional efficiency measures and can enhance RAMIS training curricula.

Keywords:
Endoscope controlPerformance metricsProficiencyRobot-assisted surgerySurgeon trainingVisualization

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Area of Science:

  • Surgical Education and Training
  • Robotics in Surgery
  • Medical Simulation

Background:

  • Effective visualization is crucial for surgical safety and training.
  • Existing proficiency metrics (time, errors) need complementary measures.
  • Robot-assisted minimally invasive surgery (RAMIS) offers unique data-driven feedback through camera adjustments.

Purpose of the Study:

  • To validate novel camera metrics for robot-assisted minimally invasive surgery (RAMIS).
  • To quantify the importance of these camera metrics in assessing surgeon proficiency.
  • To explore the correlation between camera metrics and established efficiency measures.

Main Methods:

  • 18 new, 8 intermediate, and 13 experienced surgeons participated.
  • Surgeons completed 25 virtual reality simulation exercises using the da Vinci Surgical System.
  • Three novel camera metrics were computed and compared with conventional efficiency metrics.

Main Results:

  • Camera metrics demonstrated construct validity across most exercises (23/25 for movement frequency, 22/25 for duration, 19/25 for interval).
  • Camera metrics effectively differentiated between new and experienced surgeons, similar to efficiency metrics.
  • Camera metrics significantly correlated with completion time and overall score in most exercises.

Conclusions:

  • Novel camera metrics are valid and correlate with efficiency metrics in RAMIS simulations.
  • These camera metrics can differentiate surgeon skill levels.
  • Camera metrics hold potential for improving proficiency-based curricula in RAMIS.