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全耦合三维支架内再狭窄模拟与数据的比较

A Comparison of Fully-Coupled 3D In-Stent Restenosis Simulations to Data.

作者信息

Zun Pavel S, Anikina Tatiana, Svitenkov Andrew, Hoekstra Alfons G

机构信息

Saint Petersburg State University of Information Technologies, Mechanics and Optics (ITMO) UniversitySt. Petersburg, Russia.

Computational Science Lab, Faculty of Science, Institute for Informatics, University of AmsterdamAmsterdam, Netherlands.

出版信息

Front Physiol. 2017 May 23;8:284. doi: 10.3389/fphys.2017.00284. eCollection 2017.

DOI:10.3389/fphys.2017.00284
PMID:28588498
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5440556/
Abstract

We describe our fully-coupled 3D multiscale model of in-stent restenosis, with blood flow simulations coupled to smooth muscle cell proliferation, and report results of numerical simulations performed with this model. This novel model is based on several previously reported 2D models. We study the effects of various parameters on the process of restenosis and compare with porcine data where we observe good qualitative agreement. We study the effects of stent deployment depth (and related injury score), reendothelization speed, and simulate the effect of stent width. Also we demonstrate that we are now capable to simulate restenosis in real-sized (18 mm long, 2.8 mm wide) vessel geometries.

摘要

我们描述了我们用于支架内再狭窄的全耦合三维多尺度模型,该模型将血流模拟与平滑肌细胞增殖相耦合,并报告了使用此模型进行的数值模拟结果。这个新模型基于几个先前报道的二维模型。我们研究了各种参数对再狭窄过程的影响,并与猪的数据进行比较,在这些数据中我们观察到了良好的定性一致性。我们研究了支架植入深度(以及相关损伤评分)、再内皮化速度的影响,并模拟了支架宽度的影响。此外,我们证明我们现在有能力在实际尺寸(长18毫米、宽2.8毫米)的血管几何形状中模拟再狭窄。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49bc/5440556/78fa5f9c3bc6/fphys-08-00284-g0011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49bc/5440556/b9ebf95fc218/fphys-08-00284-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49bc/5440556/d99962eb4ee3/fphys-08-00284-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49bc/5440556/8895ff7826f5/fphys-08-00284-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49bc/5440556/8933db83e4d1/fphys-08-00284-g0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49bc/5440556/6f6c1d47f89b/fphys-08-00284-g0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49bc/5440556/78fa5f9c3bc6/fphys-08-00284-g0011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49bc/5440556/b9ebf95fc218/fphys-08-00284-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49bc/5440556/d99962eb4ee3/fphys-08-00284-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49bc/5440556/8895ff7826f5/fphys-08-00284-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49bc/5440556/8933db83e4d1/fphys-08-00284-g0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49bc/5440556/6f6c1d47f89b/fphys-08-00284-g0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49bc/5440556/78fa5f9c3bc6/fphys-08-00284-g0011.jpg

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Towards the virtual artery: a multiscale model for vascular physiology at the physics-chemistry-biology interface.迈向虚拟动脉:物理-化学-生物学界面的血管生理学多尺度模型。
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A discrete mesoscopic particle model of the mechanics of a multi-constituent arterial wall.一种多成分动脉壁力学的离散介观粒子模型。
Uncertainty quantification of a three-dimensional in-stent restenosis model with surrogate modelling.
基于代理模型的三维支架内再狭窄模型的不确定性量化。
J R Soc Interface. 2022 Feb;19(187):20210864. doi: 10.1098/rsif.2021.0864. Epub 2022 Feb 23.
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Multiscale Modeling of Vascular Remodeling Induced by Wall Shear Stress.壁面剪应力诱导血管重塑的多尺度建模
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Multiscale Computational Modeling of Vascular Adaptation: A Systems Biology Approach Using Agent-Based Models.血管适应性的多尺度计算建模:一种使用基于智能体模型的系统生物学方法。
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Computational modeling for cardiovascular tissue engineering: the importance of including cell behavior in growth and remodeling algorithms.心血管组织工程的计算建模:在生长和重塑算法中纳入细胞行为的重要性。
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