4D blood flow model for dose calculation to circulating blood and lymphocytes.
4D blood flow model for dose calculation to circulating blood and lymphocytes.
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DOI：
10.1088/1361-6560/ab6c41
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发表时间：
2020-03-02
影响因子：
3.5
通讯作者：
Grassberger C
中科院分区：
文献类型：
--
作者：
Hammi A;Paganetti H;Grassberger C
为了更好地了解放射治疗输送参数如何影响颅内肿瘤治疗患者循环淋巴细胞的消耗，我们开发了一种计算人体血流模型（BFM），该模型能够估计分次放射治疗过程中循环血液的剂量。建立了一个基于人体参考值的心血管血流动力学系统，将心输出量分配到24个不同的器官，用离散马尔可夫链描述。对于明确的颅内血流建模，我们从患者的MRI数据中提取了主要的脑血管系统，并在额叶和枕叶中使用通用血管的扩展网络对其进行了补充，以保证整个脑体积的整体血液供应。实施了显式Monte Carlo模拟，以跟踪每个血液颗粒（BP）通过大脑和时间依赖性辐射场的传播，沿其轨迹沿着累积剂量。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266'000 BP，其以10 ms的时间分辨率跟踪。全身的整个BFM包含22'178'000 BP，对应于每ml血液4200 BP。我们已经使用该模型来研究质子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池剂量的影响。质子和光子治疗30次后，血池的平均剂量估计分别为0.06和0.13戈伊，1%血液的最高剂量为0.19戈伊和0.34戈伊。在第一部分之后接受任何剂量的血液体积的分数对于质子治疗显著较低，10.1%，而光子治疗计划为18.4%。与使用质子治疗的第21次部分相比，使用光子治疗的第11次部分后，90%的血池将接受剂量。较高的剂量率可以有效地减少低剂量照射的血液比例，但增加接受高剂量照射的血液量。患者特征（如血压、性别和年龄）导致的影响小于剂量率的变化。我们开发了一种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，并证明其在质子与光子输送、各种剂量率和患者特征中的应用。循环血液的辐射剂量估算为我们提供了更好地了解辐射诱发淋巴细胞减少症的起源。
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.
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影响因子：
8.6
作者：
Lee, DS;Rieger, H;Bartha, K
通讯作者：
Bartha, K
影响因子：
7.7
作者：
Absinta M;Ha SK;Nair G;Sati P;Luciano NJ;Palisoc M;Louveau A;Zaghloul KA;Pittaluga S;Kipnis J;Reich DS
通讯作者：
Reich DS
DOI：
10.1016/j.ijrobp.2004.12.085
发表时间：
2005-08-01
影响因子：
7
作者：
Hughes, MA;Parisi, M;Kleinberg, L
通讯作者：
Kleinberg, L
DOI：
10.1097/coc.0b013e3182940ff9
发表时间：
2015-06
期刊：
American journal of clinical oncology
影响因子：
--
作者：
Wild AT;Ye X;Ellsworth SG;Smith JA;Narang AK;Garg T;Campian J;Laheru DA;Zheng L;Wolfgang CL;Tran PT;Grossman SA;Herman JM
通讯作者：
Herman JM
影响因子：
2.4
作者：
Campian, Jian L.;Ye, Xiaobu;Grossman, Stuart A.
通讯作者：
Grossman, Stuart A.