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Updated: May 21, 2026

Designing CAD/CAM Surgical Guides for Maxillary Reconstruction Using an In-house Approach
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Rapid prototyping in orthopaedic surgery: a user's guide.

Mark Frame1, James S Huntley

  • 1Orthopaedic Department, Royal Hospital for Sick Children, Yorkhill, Glasgow G3 8SJ, UK.

Thescientificworldjournal
|June 6, 2012
PubMed
Summary

This study introduces an affordable method for creating 3D surgical models from CT scans using open-source software. This technique aids surgeons in precise preoperative planning for complex orthopedic cases.

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Area of Science:

  • Orthopedic surgery
  • Biomedical engineering
  • Medical imaging

Background:

  • Rapid prototyping (RP) offers solutions for complex 3D orthopedic issues like fractures and reconstructions.
  • High costs and limited expertise have historically restricted RP accessibility in orthopedics.

Purpose of the Study:

  • To present a cost-effective process for generating high-fidelity 3D physical models from CT data using open-source software.
  • To enable surgeons to utilize precise models for enhanced preoperative planning and procedural rehearsal.

Main Methods:

  • Outlined the history of rapid prototyping in orthopedics.
  • Developed and described a workflow utilizing open-source software to convert CT scan data into physical models.
  • Illustrated the method with a relevant clinical case study.

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Main Results:

  • The described open-source software process significantly reduces the expense of creating patient-specific 3D models.
  • High-fidelity physical models can be produced, suitable for detailed surgical planning and rehearsal.
  • Demonstrated the practical application and benefits through a case example.

Conclusions:

  • Open-source software provides an accessible and economical pathway to leverage rapid prototyping for orthopedic surgical planning.
  • This approach empowers surgeons with precise, patient-specific models, potentially improving surgical outcomes.
  • The method addresses previous barriers of cost and expertise, democratizing advanced pre-surgical modeling techniques.