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This summary is machine-generated.

The choice of CT phantom model significantly impacts Hounsfield Unit to Relative Electron Density curves used in radiation therapy planning. The GAMMEX phantom demonstrated superior accuracy in dose calculations compared to the CATPHAN model.

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Area of Science:

  • Medical Physics
  • Radiotherapy
  • Image Analysis

Background:

  • Modern radiotherapy treatment planning systems rely on accurate conversion of Hounsfield Units (HU) to relative electron density (RED).
  • This conversion is critical for heterogeneity corrections during dose calculations, directly impacting treatment accuracy.
  • Different CT phantom models can yield varying HU to RED curves, necessitating an evaluation of their impact.

Purpose of the Study:

  • To assess the influence of different CT phantom models on the generation of HU to RED curves.
  • To compare the clinical significance of HU to RED curves derived from distinct phantom models in treatment planning.

Main Methods:

  • Two phantoms, GAMMEX 467 and CATPHAN 500, were imaged across multiple CT scanners.
  • HU to RED curves were generated and implemented in the Eclipse 8.10 treatment planning system.
  • Dose calculations were performed on a heterogeneity phantom and compared to measurements; 3D and IMRT plans were analyzed for clinical differences.

Main Results:

  • HU to RED curves showed reasonable consistency across scanners but differed between phantom models, especially for high-density materials.
  • Differences in higher HU values were attributed to the effective atomic number influencing photoelectric effect and Compton scatter.
  • The GAMMEX phantom's HU to RED curve resulted in better agreement between Eclipse AAA calculations and measured doses.

Conclusions:

  • The CT phantom model has a greater influence on HU to RED curves than the CT scanner itself.
  • The GAMMEX phantom provided more accurate dose distribution calculations compared to the CATPHAN.
  • While minor differences were observed in patient plans, the choice of phantom model is crucial for accurate radiotherapy dose calculations.