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A Simulation-Free Replacement Solution for Radiation Therapy Immobilization Devices Using Computer Numerical Control

Samuel Hellman1, Laszlo Voros1, Victoria Y Yu1

  • 1Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.

Advances in Radiation Oncology
|July 25, 2024
PubMed
Summary
This summary is machine-generated.

A new simulation-free method uses CNC milling of extruded polystyrene (XPS) foam to quickly and affordably replace lost or damaged radiation therapy (RT) immobilization devices, improving patient convenience and reducing costs.

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Area of Science:

  • Medical Physics
  • Biomedical Engineering
  • Radiation Oncology

Background:

  • Radiation therapy (RT) immobilization devices are crucial for accurate treatment delivery.
  • Loss or damage necessitates resimulation, leading to delays, increased radiation exposure, and costs.

Purpose of the Study:

  • To describe and evaluate a simulation-free method for fabricating replacement RT immobilization devices.
  • To assess the feasibility, cost-effectiveness, and accuracy of this novel approach.

Main Methods:

  • Utilized existing simulation scans as templates for computer numerical control (CNC) milling of extruded polystyrene (XPS) foam molds.
  • Evaluated XPS material properties (attenuation, bolusing) and established a clinical workflow.
  • Treated 12 patients and analyzed setup reproducibility using Dice Similarity Coefficient (DSC) and Mean Distance to Agreement (MDA).

Main Results:

  • XPS foam demonstrated favorable dosimetric properties compared to standard materials.
  • Replacement molds cost $242.17 and took 86.3 minutes of hands-on time, significantly faster and cheaper than resimulation.
  • Setup reproducibility showed high agreement (DSC avg. 0.966, MDA avg. 2.694 mm).

Conclusions:

  • CNC-milled XPS foam offers a rapid, cost-effective, and accurate alternative for replacing RT immobilization devices.
  • The method ensures satisfactory patient immobilization with minimal dosimetric impact.
  • This approach provides a viable solution for clinicians facing device replacement challenges.