Monte Carlo and analytic simulations in nanoparticle-enhanced radiation therapy

Abstract

Analytical and Monte Carlo simulations have been used to predict dose enhancement factors in nanoparticle-enhanced X-ray radiation therapy. Both simulations predict an increase in dose enhancement in the presence of nanoparticles, but the two methods predict different levels of enhancement over the studied energy, nanoparticle materials, and concentration regime for several reasons. The Monte Carlo simulation calculates energy deposited by electrons and photons, while the analytical one only calculates energy deposited by source photons and photoelectrons; the Monte Carlo simulation accounts for electron–hole recombination, while the analytical one does not; and the Monte Carlo simulation randomly samples photon or electron path and accounts for particle interactions, while the analytical simulation assumes a linear trajectory. This study demonstrates that the Monte Carlo simulation will be a better choice to evaluate dose enhancement with nanoparticles in radiation therapy.

Keywords:

• nanoparticle
• dose enhancement
• Monte Carlo simulation
• analytical simulation
• radiation therapy
• tumor cell
• X-ray

Acknowledgments

This project is supported by a Director’s New Innovator Award from National Institute of Health to Ming Su (1DP2EB016572).

Disclosure

The authors have no conflicts of interest to disclose.