Applications of MCNP simulation in treatment planning: a comparative study

Radiat Environ Biophys. 2020 May;59(2):307-319. doi: 10.1007/s00411-020-00841-2. Epub 2020 Apr 2.

Abstract

Monte Carlo codes have been used for approximately 80 years to solve various problems in medical physics. In this paper, the importance of the MCNPX code in treatment planning is highlighted. As illustrative examples of the role of MCNPX in this field, some dosimetric parameters, isodose distribution curves, and figures of merit (FOMs) were considered for photon beams of various energies. To the best of the authors' knowledge, such a systematic study has not been done before. Tissue-air ratio values were obtained as a function of depth in tissue as well as field size. The results of the simulations were in agreement within 3.5% with experimental results reported in the literature. Backscatter factor values were calculated as a function of beam energy, and found to be in agreement with published experimental values within 5.9%. The isodose curves for different conditions and beam arrangements were also simulated. Besides, FOMs were calculated for different radiation energies. All the results were in agreement with related data in the literature. It is concluded that the MCNPX code and the models developed in the present study can be used in different conditions where these parameters are involved, improving individualized treatment planning for individual patients.

Keywords: MCNPX; Medical physics; Simulation; Treatment planning.

Publication types

  • Comparative Study

MeSH terms

  • Cobalt Radioisotopes
  • Computer Simulation
  • Monte Carlo Method*
  • Photons
  • Radiotherapy Dosage
  • Radiotherapy Planning, Computer-Assisted*

Substances

  • Cobalt Radioisotopes