Department of Medical Physics, Jack Ady Cancer Centre, Lethbridge, Alberta, T1J-1W5, Canada.
Department of Oncology, University of Calgary, Calgary, Alberta, T2N-4N2, Canada.
Med Phys. 2017 Dec;44(12):6560-6569. doi: 10.1002/mp.12620. Epub 2017 Nov 6.
The radiation dose enhancement caused by introducing gold nanoparticles (GNP) into cells can increase the dose locally absorbed. A disconnect between experimentally determined survival and dose enhancements predicted by Monte Carlo simulations on macroscopic scales, suggests small-scale energy deposition patterns play an important role in GNP dose enhancement. Clustering of the GNPs could potentially alter small-scale energy deposition patterns. Here we use Monte Carlo simulations to quantify energy deposition patterns in the presence of clustered GNPs and address the question of whether clustering of the nanoparticles affects the energy deposition patterns and ultimately cellular response.
Using the PENELOPE Monte Carlo code, we examine the absorption of energy in the environment of a single irradiated GNP following its interaction with a set of primary monoenergetic photon beams. We introduce successive GNPs to form a cluster about the particle in which the primary photon interactions occur and report on the energy deposited locally (within a 500 nm radius) and nonlocally (beyond 500 nm) in the surrounding water-equivalent medium as a function of the number of additional GNPs and the packing geometry they assume.
When additional GNPs cluster in tightly packed formations about a GNP in which an incident photon interacts, both the energy deposited locally and released nonlocally are reduced relative to the case where other GNPs are not present. The degree of the reduction depends on incident photon energy, the number of GNPs added to the cluster, and the packing geometry. With 90 additional GNPs in a hexagonal close packing (HCP) cluster about a directly irradiated test particle, the local energy deposition was reduced to 29% (of the value in the absence of neighbors) in the most extreme monoenergetic case. Energy released into the nonlocal volume was most affected by the cluster for low-incident photon energies (< 40 keV), where reductions to 26% of the value in the absence of a cluster were shown. The packing geometry mitigated these results. When the irradiated GNP was on the periphery of the HCP cluster, or when the cluster was confined to a plane, the observed effects were weaker and when an equal number of GNPs were uniformly distributed in the local volume, the changes were trivial (less than 2%).
The findings provide grounds for reconciling the observations of cell survival with Monte Carlo predictions of GNP dose enhancement. This work is significant because it demonstrates that GNP clustering needs to be understood and accounted to optimize local dose enhancement.
将金纳米粒子(GNP)引入细胞会引起辐射剂量增强,从而使局部吸收的剂量增加。实验确定的存活与宏观尺度下蒙特卡罗模拟预测的剂量增强之间存在脱节,这表明小尺度能量沉积模式在 GNP 剂量增强中起着重要作用。GNP 的聚集可能会改变小尺度能量沉积模式。在这里,我们使用蒙特卡罗模拟来量化聚集的 GNP 存在时的能量沉积模式,并解决纳米颗粒聚集是否会影响能量沉积模式以及最终影响细胞反应的问题。
使用 PENELoPE 蒙特卡罗代码,我们研究了在与一组单能光子束相互作用后,单个被辐照的 GNP 环境中能量的吸收。我们引入了连续的 GNP,在发生初级光子相互作用的粒子周围形成一个簇,并报告局部(在 500nm 半径内)和非局部(超过 500nm)在周围水等效介质中沉积的能量,作为附加 GNP 的数量和它们所采用的包装几何形状的函数。
当额外的 GNP 在与入射光子相互作用的 GNP 周围紧密聚集形成簇时,与不存在其他 GNP 的情况相比,局部和非局部沉积的能量都会减少。这种减少的程度取决于入射光子能量、添加到簇中的 GNP 数量和包装几何形状。在直接辐照的测试粒子周围的六方密堆积(HCP)簇中添加 90 个额外的 GNP,在最极端的单能情况下,局部能量沉积减少到没有相邻体时的 29%。对于低入射光子能量(<40keV),簇对非局部体积中释放的能量影响最大,显示出减少到没有簇时的 26%。包装几何形状减轻了这些结果。当辐照的 GNP 在 HCP 簇的外围时,或者当簇被限制在一个平面上时,观察到的效果较弱,而当等量的 GNP 均匀分布在局部体积中时,变化微不足道(小于 2%)。
这些发现为协调细胞存活与 GNP 剂量增强的蒙特卡罗预测提供了依据。这项工作具有重要意义,因为它表明需要理解和考虑 GNP 聚集,以优化局部剂量增强。