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SU-E-T-19: Fitting a Multiple Source Photon Model for Monte Carlo Treatment Plan Verification.

A Ventura1,2, J Shih1,2, J Svoboda1,2

  • 1Kaiser Permanente, Santa Clara, CA.

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PubMed
Summary

A simplified two-source photon model for Monte Carlo treatment plan verification is practical for physicists. This method achieves accurate dose distributions for non-superficial tumors using basic commissioning data.

Keywords:
Biomedical modelingCancerDatabasesField sizeIntensity modulated radiation therapyLinear acceleratorsLungsPhotonsPhysicists

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Computational Dosimetry

Background:

  • Monte Carlo (MC) simulations are crucial for accurate radiation therapy treatment planning.
  • Implementing complex MC models, especially multi-source photon models, can be challenging for clinical physicists.
  • Efficient and accurate MC models are needed for treatment plan verification.

Purpose of the Study:

  • To develop and validate a simplified multiple source photon model for MC treatment plan verification.
  • To reduce the complexity and data requirements for fitting MC photon models.
  • To assess the accuracy of the simplified model for clinical dose calculations.

Main Methods:

  • Utilized the EGS4 user code MCSIM with a two-source photon model (point and secondary sources).
  • Developed a fitting method for the secondary source using in-air output factors.
  • Explored fitting the point source to a large field dose distribution using pre-simulated mono-energetic fanlines with log-normal spectra.

Main Results:

  • Achieved agreement within 2% for dose outputs and distributions (6MV, 15MV Varian iX) for field sizes 4-40 cm.
  • Successfully verified various treatment plans (3D, VMAT, IMRT, stereotactic lung) to within 3% tumor dose.
  • Demonstrated that spectral parameters could be simplified (constant and linearity with off-axis position).

Conclusions:

  • A simplified two-source photon model is practical for MC treatment plan verification by non-research physicists.
  • Commissioning requires only in-air output factors, a large field dose distribution, and standard machine parameters.
  • Acceptable accuracy for non-superficial tumors is achievable even with simplified spectra and photon-only simulations, without proprietary data.