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Computer Simulation and Analysis: A Study Comparing the Three Kinds of Human Breast Tumor Tissue

机译:计算机仿真与分析:三种人乳腺肿瘤组织的研究

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In this paper we develop a time-dependent four-compartment model to simulate the distribution of Indocyanine Green (ICG) in healthy human breast tissue and tumor breast tissue. This program provides a development environment of model simulation and data analysis of the major factors that contribute to distribution of ICG in our model. The simulation results show that our time-dependent four-compartment model can describe the delivery of ICG injected intravenously into the human subject and assist in cancer diagnosis. The physiologic parameters of ICG delivery from capillary to binding site in human tumor tissue are simulated. This model can provide useful physiologic information of ICG uptake kinetics in human breast tissue and can be applied to other beacons. The model has been applied to the available data on ICG uptake and in 3 different types of breast carcinoma, under this, found that the model can distinguish 2-3 cancers quantitatively on the kinetic basis.
机译:在本文中,我们开发了一个时间依赖的四室模型,以模拟健康人乳腺组织和肿瘤乳腺组织中的吲哚菁绿(ICG)的分布。该计划提供了模拟模拟和数据分析的开发环境,其主要因素有助于在我们的模型中分配ICG。仿真结果表明,我们的时间依赖性的四室模型可以描述静脉内注射到人类受试者的ICG的递送,并有助于癌症诊断。模拟从毛细管毛细管递送到人肿瘤组织中的结合位点的生理学参数。该模型可以提供人乳房组织中ICG摄取动力学的有用的生理信息,并且可以应用于其他信标。该模型已应用于ICG摄取和3种不同类型的乳腺癌的可用数据,发现该模型可以在动力学上定量地区分2-3种癌症。

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