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Comparison of a Multi-Scenario Robustness Evaluation Method with Measurements for Proton Teletherapy.

Qiangxing Yang1,2,3, Michael F Moyers2,3,4, Zhuangming Shen2,3,4

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This study validates a nine-scenario method for assessing proton teletherapy plan robustness by comparing calculations to phantom measurements. The method adequately evaluates plan robustness, especially for simple plans with heterogeneities.

Keywords:
multi-scenarioprotonradiotherapyrobustnessuncertainty

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Dosimetry

Background:

  • Proton teletherapy plan robustness is crucial for effective cancer treatment.
  • Multi-scenario calculational methods are used to evaluate robustness, but their accuracy requires validation.
  • Few studies have assessed the accuracy of these predictive calculational methods.

Purpose of the Study:

  • To evaluate the accuracy of a multi-scenario calculational method for proton teletherapy.
  • To compare computational predictions with physical measurements in phantoms simulating uncertainties.
  • To assess the robustness of treatment plans under various uncertainty scenarios.

Main Methods:

  • Proton therapy plans were created using four phantoms sensitive to positional and penetration uncertainties.
  • Nine uncertainty scenarios were simulated computationally, and calculations were compared to physical measurements.
  • Dose distributions were measured using films in phantoms with induced alignment displacements.

Main Results:

  • The nine-scenario method's calculated dose envelope contained most phantom measurements.
  • Under uncertainty, minimum dose decreased >20 Gy and V95% coverage fluctuated >10%.
  • Maximum dose parameter changed <5 Gy; some dose profile mismatches occurred for specific phantoms.

Conclusions:

  • The nine-scenario method adequately evaluates the robustness of simple mono-directional proton teletherapy plans.
  • The study confirms the utility of multi-scenario calculations for predicting plan performance under uncertainty.
  • Further refinement may be needed for complex phantom geometries or dose profiles.