An imaging-based stochastic model for simulation of tumour vasculature.
An imaging-based stochastic model for simulation of tumour vasculature.
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DOI：
10.1088/0031-9155/57/19/6103
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发表时间：
2012-10-07
影响因子：
3.5
通讯作者：
Jeraj R
中科院分区：
文献类型：
--
作者：
Adhikarla V;Jeraj R
开发了一个数学模型，该模型使用患者特定的解剖、功能和分子成像作为输入来重建现有血管的结构。血管结构是根据经验血管参数，如平均血管分支角来建模的。该模型被校准，使得从模拟的微血管系统模拟的结果氧图随机地与输入的氧图匹配到高精度(R2≈1)。该模型已成功地应用于临床前影像数据。从解剖血管图像(从对比增强的计算机断层扫描获得)开始，随机模拟由氧气地图(从低氧[64Cu]Cu-ATSM正电子发射断层扫描获得)确定的完整血管的代表性地图。模拟的显微血管结构和计算的氧合图成功地反映了成像的低氧分布(R2=0.94)。该模型得出了模拟与成像一致的血管系统所需的参数，并提供了将血管体积与组织氧分压联系起来的关键数学关系。除了提供一个很好的框架来可视化微观和宏观成像之间的成像差距外，该模型还具有扩展为以患者特有的方式研究肿瘤和血管系统之间的动力学的工具的潜力，并在抗血管生成治疗的模拟中应用。
A mathematical model which reconstructs the structure of existing vasculature using patient-specific anatomical, functional and molecular imaging as input was developed. The vessel structure is modelled according to empirical vascular parameters, such as the mean vessel branching angle. The model is calibrated such that the resultant oxygen map modelled from the simulated microvasculature stochastically matches the input oxygen map to a high degree of accuracy (R2 ≈ 1). The calibrated model was successfully applied to preclinical imaging data. Starting from the anatomical vasculature image (obtained from contrast-enhanced computed tomography), a representative map of the complete vasculature was stochastically simulated as determined by the oxygen map (obtained from hypoxia [64Cu]Cu-ATSM positron emission tomography). The simulated microscopic vasculature and the calculated oxygenation map successfully represent the imaged hypoxia distribution (R2 = 0.94). The model elicits the parameters required to simulate vasculature consistent with imaging and provides a key mathematical relationship relating the vessel volume to the tissue oxygen tension. Apart from providing an excellent framework for visualizing the imaging gap between the microscopic and macroscopic imagings, the model has the potential to be extended as a tool to study the dynamics between the tumour and the vasculature in a patient-specific manner and has an application in the simulation of anti-angiogenic therapies.
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影响因子：
3.3
作者：
Atuegwu, Nkiruka C.;Arlinghaus, Lori R.;Li, Xia;BrianWelch, E.;Chakravarthy, Bapsi A.;Gore, John C.;Yankeelov, Thomas E.
通讯作者：
Yankeelov, Thomas E.
影响因子：
3.8
作者：
Basciano, Christopher A.;Kleinstreuer, Clement;Childress, Emily
通讯作者：
Childress, Emily
影响因子：
8.6
作者：
GAZIT, Y;BERK, DA;JAIN, RK
通讯作者：
JAIN, RK
影响因子：
3.5
作者：
Dasu, A;Toma-Dasu, I;Karlsson, M
通讯作者：
Karlsson, M
通过预防新血管形成，体内肿瘤休眠。
影响因子：
15.3
作者：
Gimbrone, M A Jr;Leapman, S B;Cotran, R S;Folkman, J
通讯作者：
Folkman, J