Computational and theoretical fluid mechanics modeling for transport in dense tumors

致密肿瘤中运输的计算和理论流体力学模型

• 批准号: 10817669
• 负责人: Saikat Basu
• 金额: $ 13.48万
• 依托单位: NORTH DAKOTA STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-03-01 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10817669
• 关键词: Benchmarking; Blood Vessels; Cancerous; Cell Culture Techniques; Clinical; Convection; Data; Diagnostic; Diffusion; Endothelium; Environment; Extracellular Matrix; Extracellular Space; Fiber; Geometry; Human; Implant; Liquid substance; Literature; Malignant neoplasm of pancreas; Mechanics; Medical; Microfluidics; Modeling; Mus; Necrosis; Perfusion; Phase; Plasma; Resort; Scanning; Shapes; Slice; Solid; Solid Neoplasm; Starling (law); Stress; Structure; System; Testing; Theoretical model; Therapeutic; Vision; Work; X-Ray Computed Tomography; cancer care; cancer diagnosis; clinical diagnosis; design; experimental study; image processing; in silico; logarithm; novel diagnostics; pancreatic neoplasm; simulation; tool; trend; tumor; tumor microenvironment; uptake; usability

Intratumoral perfusion has long been recognized as a critical issue in both clinical diagnosis and therapy of dense solid cancerous tumors. In such context, a first-principles mechanics-based model that can quantify perfusion in the intratumoral extracellular spaces as a function of the tumor vasculature shapes and the fiber packing fraction in the stroma – can launch new avenues in cancer diagnosis and care. With that vision, the proposed project will integrate computational fluid dynamics (CFD) tracking with theoretical fluid mechanics analysis to generate an in silico tumor uptake modeling framework, that can operate over a wide parametric space. The test geometries will be based off computed tomography (CT) scans of human pancreatic tumors implanted in mice. The project will also design supplementary physical experiments in microfluidic setups and artificial tumor spheroids to benchmark and validate the proposed in silico approach. With use of mean continuum-level transport frameworks such as Darcy's Law and Starling model still a go-to resort for basic fluids modeling of intratumoral uptake quantification, the proposed CFD-informed advanced theoretical fluid mechanics approach to parameterize tumor perfusion based on tumor geometry and intratumoral stress will constitute this project's key contribution to the literature. The long-term objective of the project is as follows: in a clinical setting, the packing fraction of the fiber bundles inside the stroma can be readily assessed from image-processing the CT-slices from a tumor, it being logarithmically proportional to the intratumoral stress. The proposed numerical-theoretical model will be designed such as to project the tumoral uptake as a function of the packing fraction. This can trigger new diagnostic/therapeutic solutions with the fluidic transport trends inside a solid tumor predictable solely from the medical scans through assessment of the packing fraction. Our central hypothesis is: an integration of numerical computations with theoretical modeling can cover a diverse range of tumor microenvironments, rendering greater usability for the fluid mechanics tools. The resulting in silico framework will generate percolation data over a wide parameter space of tumor geometry features, e.g., the packing fraction inside the stroma and the local curvatures of blood vessels in the tumor vasculature. The work is structured around the following specific aims: (a) Aim 1 will numerically simulate multiphase transport inside the tumor vasculature, considering realistic blood vessel shapes and electrohydrodynamic effects on the mean transport, (b) Aim 2 will import from Aim 1 the plasma dynamics information at the endothelial openings and use the data as initial conditions to develop an integrative numerical-theoretical model for intratumoral transport through the extracellular matrix. The theoretical setup will invoke a convection-diffusion approach, where the boundary conditions on the local concentrations at the tumor inlet and near the necrotic core (deep into the tumor) will be fed from the numerical simulations. Finally, the in silico perfusion predictions will be compared against physical experiments performed in simplified bio-inspired microfluidic systems and with cell culture-derived realistic tumor spheroids embedded in a fluidic environment.

长期以来，肿瘤内灌注一直被认为是致密实体癌临床诊断和治疗的关键问题。在这样的背景下，一种基于第一原理力学的模型，可以根据肿瘤血管形状和间质中纤维填充比例来量化肿瘤细胞外间隙的灌注-可以在癌症诊断和治疗中开辟新的途径。在这一愿景下，拟议的项目将把计算流体动力学(CFD)跟踪与理论流体力学分析相结合，以生成一个可以在广泛的参数空间内运行的硅肿瘤摄取建模框架。测试几何形状将基于对植入小鼠的人类胰腺肿瘤的计算机断层扫描(CT)。该项目还将在微流控装置和人造肿瘤球体中设计补充物理实验，以基准和验证所提出的硅胶方法。随着达西定律和Starling模型等平均连续介质水平传输框架的使用仍然是肿瘤内摄取定量的基本流体模拟的首选方法，所提出的基于肿瘤几何形状和肿瘤内应力的CFD信息的高级理论流体力学方法将构成该项目对文献的关键贡献。该项目的长期目标如下：在临床环境中，通过对肿瘤的CT切片进行图像处理，可以很容易地评估间质内纤维束的堆积比例，它与肿瘤内的应力成对数正比。所提出的数值-理论模型将被设计成预测肿瘤摄取作为填充分数的函数。这可以触发新的诊断/治疗解决方案，实体肿瘤内的流体传输趋势仅通过评估填充分数的医学扫描即可预测。我们的中心假设是：数值计算与理论建模的结合可以覆盖不同范围的肿瘤微环境，为流体力学工具提供更大的可用性。得到的硅胶骨架将在肿瘤几何特征的广泛参数空间上产生渗流数据，例如，间质内的填充分数和肿瘤血管系统中的血管的局部曲率。这项工作围绕以下具体目标展开：(A)Aim 1将数值模拟肿瘤血管内的多相传输，考虑到真实的血管形状和电流体动力学对平均传输的影响，(B)Aim 2将从Aim 1导入内皮开口的血浆动力学信息，并将数据用作初始条件，以开发通过细胞外基质的肿瘤内传输的综合数值理论模型。理论设置将调用对流-扩散方法，其中关于肿瘤入口处和坏死核附近(深入肿瘤)的局部浓度的边界条件将由数值模拟馈送。最后，电子灌流预测将与在简化的生物启发微流控系统中进行的物理实验以及嵌入在流体环境中的细胞培养衍生的真实肿瘤球体进行比较。