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CT-Based Collision Prediction Software for External-Beam Radiation Therapy.

Yu-Jen Wang1,2,3, Jia-Sheng Yao4, Feipei Lai1,4

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Summary
This summary is machine-generated.

A new software accurately predicts collisions in radiotherapy, preventing mechanical issues for complex patient setups. This tool enhances safety and expands treatment options by optimizing beam angles.

Keywords:
beam anglecollisionnoncoplanarradiotherapysoftware

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Software Engineering

Background:

  • Beam angle optimization is crucial in modern radiotherapy (RT), presenting challenges for large body sizes and noncoplanar beam configurations.
  • Noncoplanar RT offers dosimetric benefits but introduces a risk of mechanical collisions, necessitating advanced safety measures.
  • Accurate prediction of collisions is essential for safe and effective implementation of advanced radiotherapy techniques.

Purpose of the Study:

  • To develop and validate a software solution for predicting colliding and noncolliding beam configurations in both coplanar and noncoplanar radiotherapy.
  • To address the challenges of beam angle optimization in radiotherapy, particularly for complex patient anatomies and noncoplanar treatment plans.

Main Methods:

  • Individualized software models of two linear accelerators were created, incorporating dimensions from manuals and on-site measurements.
  • Subject external surfaces were automatically contoured using computed tomography (CT) simulations to create personalized software models.
  • The software's accuracy was tested using an Alderson Radiation Therapy phantom and a real-world patient collision scenario during initial setup.

Main Results:

  • The software accurately predicted noncoplanar collision angles within a 5-degree difference compared to on-site measurements.
  • High accuracies were achieved for empty accelerator models (98.7% and 97.3%), with excellent true positive and true negative rates.
  • The software successfully predicted a patient's collision issue and generated validated, noncolliding coordinates.

Conclusions:

  • The developed software accurately predicts collisions in accelerator-only, phantom, and patient setups, enhancing radiotherapy safety.
  • This tool has the potential to prevent collisions during treatment delivery, thereby expanding the range of applicable beam angles.
  • The software represents a significant advancement in ensuring the safe and effective use of complex radiotherapy techniques.