Saint Joseph University, Faculty of Sciences, Department of Physics, Beirut, Lebanon.
Clermont Auvergne University, CNRS/IN2P3, Laboratoire de Physique de Clermont, F-63000 Clermont-Ferrand, France.
Phys Med. 2019 Nov;67:148-154. doi: 10.1016/j.ejmp.2019.10.038. Epub 2019 Nov 7.
This paper presents a Monte-Carlo study focusing on the effects of gold nanoparticles on the energy deposition patterns produced by incident photons in the close vicinity of the mitochondrial network modeled as a tube. Spherical shaped gold nanoparticles of 30 nm diameter were placed in a micrometric (10 × 10 × 10 μm) water phantom containing a tube of 300 nm diameter and 5 μm length. The tube represented a mitochondrial fragment and nanoparticles were distributed in the water phantom outside the tube. Photons of 120 keV were simulated using the Geant4 Livermore processes and the Geant4-DNA electron processes to account for secondary electrons collisions. The Livermore processes took into account the Auger cascade inside the gold material. A data mining algorithm was then used to analyze the energy deposition clusters inside the water phantom and the tube. A comparison was made between the results obtained for a uniform distribution of nanoparticles and a vesicle distribution model. The results including energy deposition clusters are also compared to dose enhancement ratios.
本文通过蒙特卡罗方法研究了金纳米粒子对在模拟为管状的线粒体网络附近的入射光子产生的能量沉积模式的影响。将直径为 30nm 的球形金纳米粒子置于包含直径为 300nm 且长度为 5μm 的管状水模型的微毫米(10×10×10μm)水模型中。该管代表一个线粒体片段,纳米粒子分布在管外的水模型中。使用 Geant4 Livermore 过程和 Geant4-DNA 电子过程模拟了 120keV 的光子,以考虑次级电子碰撞。Livermore 过程考虑了金材料内的俄歇级联。然后使用数据挖掘算法分析水模型和管内的能量沉积簇。比较了纳米粒子均匀分布和囊泡分布模型的结果。还将包括能量沉积簇的结果与剂量增强比进行了比较。