Paro Autumn D, Hossain Mainul, Webster Thomas J, Su Ming
Department of Chemical Engineering, Northeastern University, Boston, MA, USA.
NanoScience Technology Center and School of Electrical Engineering and Computer Science, University of Central Florida, Orlando, Florida, USA.
Int J Nanomedicine. 2016 Sep 16;11:4735-4741. doi: 10.2147/IJN.S114025. eCollection 2016.
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.
分析模拟和蒙特卡罗模拟已被用于预测纳米颗粒增强型X射线放射治疗中的剂量增强因子。两种模拟都预测在存在纳米颗粒的情况下剂量会增强，但由于多种原因，这两种方法在所研究的能量、纳米颗粒材料和浓度范围内预测的增强水平不同。蒙特卡罗模拟计算电子和光子沉积的能量，而分析模拟仅计算源光子和光电子沉积的能量；蒙特卡罗模拟考虑电子-空穴复合，而分析模拟不考虑；蒙特卡罗模拟对光子或电子路径进行随机采样并考虑粒子相互作用，而分析模拟假设为线性轨迹。本研究表明，蒙特卡罗模拟将是评估放射治疗中纳米颗粒剂量增强的更好选择。
