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Tracking camera control in endoscopic dacryocystorhinostomy surgery.

J R Wawrzynski1, P Smith2, L Tang2

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Computer vision tracking objectively measures endoscope control in endoscopic dacryocystorhinostomy (EnDCR) surgery. This technology provides valuable feedback for surgical trainees to improve their skills by comparing their performance to experienced surgeons.

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Area of Science:

  • Ophthalmology
  • Surgical Technology
  • Medical Imaging

Background:

  • Poor endoscope control in EnDCR surgery leads to inadequate visualization and suboptimal outcomes.
  • Developing objective feedback tools is crucial for surgical training.

Purpose of the Study:

  • To investigate the feasibility of computer vision tracking as a formative feedback tool for endoscope control quality in EnDCR surgery.
  • To compare endoscope control between junior and senior surgeons using computer vision metrics.

Main Methods:

  • Prospective cohort analysis comparing 10 junior (<20 procedures) and 10 senior (>100 procedures) surgeons.
  • Computer vision tracking applied to endoscopic video footage to quantify total movements and camera path length.
  • Mann-Whitney U-test used for statistical comparison (P < 0.05).

Main Results:

  • Feasibility of the computer vision tracking system was demonstrated.
  • Significantly greater mean camera path lengths (119,329px vs. 43,697px) and movements (9134 vs. 3690) in junior surgeons compared to seniors (P ≪ 0.05).
  • Quantifiable differences confirm construct validity for computer vision tracking as a measure of surgical experience.

Conclusions:

  • Computer vision tracking offers a structured, objective feedback tool for improving trainee endoscope control in EnDCR.
  • Enables trainees to identify and focus on specific areas of divergence from experienced surgeons' control patterns.