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Automatic Final-Product Assessment of Virtual Reality Mastoidectomy Performance: A Validity and Reliability Study.

Peter Trier Mikkelsen1, Mads Sølvsten Sørensen1, Pascal Senn2

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PubMed
Summary
This summary is machine-generated.

This study validates an automated assessment system for virtual reality (VR) temporal bone surgery simulators. The system accurately evaluates surgical skills, offering a reliable tool for training and certification.

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Area of Science:

  • Surgical Education
  • Medical Simulation
  • Otology

Background:

  • Effective assessment is crucial for surgical training.
  • Virtual reality (VR) temporal bone simulators offer automated metrics but lack comprehensive assessment of complex skills.
  • Advanced automated assessment routines are needed for VR surgical simulation.

Purpose of the Study:

  • To integrate and validate an automated final-product assessment for mastoidectomies in a VR simulator.
  • To compare automated assessment with expert manual ratings for validity and reliability.

Main Methods:

  • 33 trainees performed virtual mastoidectomies using the Visible Ear (VR) Simulator.
  • A new automated rating routine based on the modified Welling Scale was implemented.
  • Automated assessments were compared to expert manual ratings using agreement, intraclass correlation, and generalizability analysis.

Main Results:

  • The automated system achieved 83.9% overall agreement with manual ratings, comparable to inter-rater reliability (88.9%).
  • 15 out of 26 items showed high agreement (>85%) between automated and manual assessments.
  • Generalizability analysis indicated five repetitions are needed for high-stakes assessment reliability (G coefficient >0.8).

Conclusions:

  • An automated assessment system for VR temporal bone simulators is feasible, valid, and reliable.
  • This system can serve as a valuable tool for self-directed surgical training and skills certification.