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Initial experience with TrueBeam trajectory log files for radiation therapy delivery verification.

Baozhou Sun1, Dharanipathy Rangaraj2, Geethpriya Palaniswaamy2

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Summary

This study introduces a new software tool that uses Varian TrueBeam log files for efficient and accurate verification of radiation therapy treatments. The automated process enhances patient safety by ensuring precise delivery of intensity-modulated radiation therapy (IMRT) and other techniques.

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Software Engineering

Background:

  • Traditional chart checks for radiation therapy are time-consuming and labor-intensive.
  • Verifying treatment parameters against expected values is crucial for patient safety.
  • Log files from linear accelerators offer a comprehensive data source for verification.

Purpose of the Study:

  • To develop and validate an automated software tool for end-to-end verification of radiation therapy treatments.
  • To utilize Varian TrueBeam log files for efficient and accurate checking of treatment parameters.
  • To reduce the time and labor associated with manual chart checks.

Main Methods:

  • Developed an in-house software tool to read and analyze Varian TrueBeam log files.
  • The software extracts delivered parameters and compares them to original treatment planning data.
  • The tool was validated for accuracy and consistency in verifying 3D conformal therapy, IMRT, and other techniques.

Main Results:

  • The software accurately verified multileaf collimator (MLC), jaw, and gantry positions within acceptable tolerances.
  • Patient quality assurance results showed high accuracy for MLC (0.25 mm), gantry angles (0.3°), monitor unit delivery (0.13 MU), and jaw positions (1 mm).
  • Delivered dose rates for flattening filter-free modes were within 1% of planned values.

Conclusions:

  • The developed software provides an efficient and reliable method for end-to-end data transfer and treatment delivery verification.
  • Utilizing TrueBeam log files streamlines the quality assurance process in radiation oncology.
  • This automated approach enhances the accuracy and safety of various radiation delivery techniques.