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A Data-Driven Methodology to Comprehensively Assess Bone Drilling Using Radar Plots.

Aman Nigam1, James F Kellam2, Catherine G Ambrose2

  • 1Department of Mechanical Engineering, Texas A&M University, College Station, Texas.

JB & JS Open Access
|January 8, 2024
PubMed
Summary
This summary is machine-generated.

This study developed a data-driven method using radar plots to assess bone drilling skills. Novice surgeons showed distorted performance patterns, unlike experts, highlighting a need for improved surgical training.

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Area of Science:

  • Surgical Education
  • Biomedical Engineering
  • Quantitative Skill Assessment

Background:

  • Current surgical skill assessment methods for bone drilling are often subjective or fail to account for interdependencies between skill factors like time and accuracy.
  • Developing objective, data-driven assessment tools is crucial for effective surgical residency training.
  • This study addresses the need for a quantitative methodology to evaluate bone drilling proficiency.

Purpose of the Study:

  • To develop and validate a data-driven methodology for assessing bone drilling skills.
  • To quantitatively evaluate the performance differences among surgeons with varying experience levels.
  • To utilize radar plots for visualizing and analyzing multiple skill factors in bone drilling.

Main Methods:

  • Bone drilling was performed by expert surgeons (N=10), intermediate residents (N=5), and novice residents (N=10).
  • Motion and force data were collected during drilling trials and converted into five performance indicators: overshoot, drilling time, and their consistencies, plus force fluctuation.
  • Performance indicators were scored (0-10) and visualized using radar plots.

Main Results:

  • Statistically significant differences (p < 0.05) in force, time, and overshoot were observed across the three skill groups.
  • Radar plots visually demonstrated distinct performance patterns, with novice surgeons showing the most distorted plots and expert surgeons exhibiting well-formed plots.
  • Intermediate residents' performance plots fell between those of the novice and expert groups, indicating a progressive skill acquisition.

Conclusions:

  • Radar plots provide a comprehensive and effective tool for assessing bone drilling skills.
  • This data-driven approach establishes a foundation for developing targeted training programs to enhance novice surgical residents' clinical readiness.
  • The methodology offers a quantitative and objective means to track skill development in surgical training.