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Developing a production workflow for 3D-printed temporal bone surgical simulators.

Andre Jing Yuen Ang1, Shu Ping Chee2, Joyce Zhi En Tang3

  • 1Duke-NUS Medical School, Singapore, Singapore. andre_ang@u.duke.nus.edu.

3D Printing in Medicine
|May 30, 2024
PubMed
Summary

This study presents a new workflow for creating accurate 3D-printed temporal bone models for otologic surgery training. The high-fidelity models demonstrated sub-millimeter accuracy and were effective for surgical simulation.

Keywords:
3D printingImage segmentationOtologySilicone moldingStereolithographyTemporal bone

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Area of Science:

  • Medical Simulation
  • 3D Printing Technology
  • Anatomical Modeling

Background:

  • Current 3D-printed temporal bone models often lack critical surgical landmarks.
  • A consolidated literature review on developing these models is absent.
  • High-fidelity models are needed for effective otologic surgical training.

Purpose of the Study:

  • To propose a novel design and production workflow for high-fidelity 3D-printed temporal bone models.
  • To improve the representation of key surgical landmarks in 3D-printed models.
  • To enhance the utility of 3D-printed models for surgical simulation.

Main Methods:

  • Outlined developmental phases: data extraction, 3D segmentation, Computer Aided Design (CAD), and fabrication.
  • Detailed design strategies for anatomical regions like mastoid air cells and facial nerve.
  • Validated models via radiological measurements and expert surgical simulation assessment.

Main Results:

  • Achieved sub-millimeter accuracy in 3D-printed temporal bone models compared to original scans.
  • Senior otolaryngologist confirmed model satisfaction in simulating multiple surgical procedures.
  • Demonstrated the effectiveness of the proposed workflow in producing accurate anatomical models.

Conclusions:

  • A systematic method for creating accurate 3D-printed temporal bone models for surgical training has been established.
  • The developed models exhibit high accuracy and effectiveness for surgical procedure simulation.
  • This approach promises to improve surgical training and potentially patient outcomes.