Department of Radiation Oncology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, United States of America.
Phys Med Biol. 2020 Mar 2;65(5):055008. doi: 10.1088/1361-6560/ab6c41.
To better understand how radiotherapy delivery parameters affect the depletion of circulating lymphocytes in patients treated for intra-cranial tumors, we developed a computational human body blood flow model (BFM), that enables to estimate the dose to the circulating blood during the course of fractionated radiation therapy. A hemodynamic cardiovascular system based on human body reference values was developed to distribute the cardiac output to 24 different organs, described by a discrete Markov Chain. For explicit intracranial blood flow modeling, we extracted major cerebral vasculature from MRI data of a patient and complemented them with an extension network of generic vessels in the frontal and occipital lobes to guarantee even overall blood supply to the entire brain volume. An explicit Monte Carlo simulation was implemented to track the propagation of each individual blood particle (BP) through the brain and time-dependent radiation fields, accumulating dose along their trajectories. The cerebral model includes 1050 path lines and explicitly simulates more than 266 000 BP at any given time that are tracked with a time resolution of 10 ms. The entire BFM for the whole body contains 22 178 000 BP, corresponding to 4200 BP per ml of blood. We have used the model to investigate the difference between proton and photon therapy, and the effect of different dose rates and patient characteristics on the dose to the circulating blood pool. The mean dose to the blood pool is estimated to be 0.06 and 0.13 Gy after 30 fractions of proton and photon therapy, respectively, and the highest dose to 1% of blood was found to be 0.19 Gy and 0.34 Gy. The fraction of blood volume receiving any dose after the first fraction is significantly lower for proton therapy, 10.1% compared to 18.4% for the photon treatment plan. 90% of the blood pool will have received dose after the 11th fraction using photon therapy compared to the 21st fraction with proton therapy. Higher dose rates can effectively reduce the fraction of blood irradiated to low doses but increase the amount of blood receiving high doses. Patient characteristics such as blood pressure, gender and age lead to smaller effects than variations in the dose rate. We developed a 4D human BFM including recirculating to estimate the radiation dose to the circulating blood during intracranial treatment and demonstrate its application to proton- versus photon-based delivery, various dose rates and patient characteristics. The radiation dose estimation to the circulating blood provides us better insight into the origins of radiation-induced lymphopenia.
为了更好地了解放射治疗剂量参数如何影响颅内肿瘤患者循环淋巴细胞的耗竭,我们开发了一种计算人体血流模型(BFM),能够在分次放射治疗过程中估计循环血液的剂量。我们基于人体参考值开发了一个血流动力学心血管系统,将心输出量分配到 24 个不同的器官,这些器官由一个离散的马尔可夫链描述。为了明确颅内血流建模,我们从患者的 MRI 数据中提取了主要的大脑血管,并在额区和枕区补充了通用血管的扩展网络,以保证整个大脑体积的整体血液供应均匀。我们实施了明确的蒙特卡罗模拟,以跟踪每个个体血液粒子(BP)通过大脑和时变辐射场的传播,沿其轨迹积累剂量。大脑模型包括 1050 条路径线,并在任何给定时间明确模拟超过 266000 个 BP,其时间分辨率为 10ms。整个全身 BFM 包含 22178000 个 BP,相当于每毫升血液 4200 个 BP。我们使用该模型研究了质子治疗和光子治疗之间的差异,以及不同剂量率和患者特征对循环血液池剂量的影响。在质子治疗和光子治疗 30 次后,血液池的平均剂量估计分别为 0.06 和 0.13Gy,而 1%血液的最高剂量分别为 0.19Gy 和 0.34Gy。与光子治疗计划相比,质子治疗后第一剂后接受任何剂量的血液比例显著降低,为 10.1%,而光子治疗计划为 18.4%。在使用光子治疗后,90%的血液池将在第 11 剂后接受剂量,而使用质子治疗则在第 21 剂后。较高的剂量率可以有效地降低血液接受低剂量照射的比例,但会增加接受高剂量照射的血液量。与剂量率变化相比,患者特征(如血压、性别和年龄)的影响较小。我们开发了一个 4D 人体 BFM,包括再循环,以估计颅内治疗期间循环血液的辐射剂量,并展示其在质子与光子治疗、各种剂量率和患者特征方面的应用。循环血液的辐射剂量估计使我们更好地了解了辐射诱导性淋巴细胞减少的起源。