Computational Analysis of the Pulmonary Arteries in Congenital Heart Disease: A Review of the Methods and Results.

4区 工程技术 Q2 Mathematics Computational and Mathematical Methods in Medicine Pub Date : 2021-04-01 eCollection Date: 2021-01-01 DOI:10.1155/2021/2618625
M Conijn, G J Krings
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引用次数: 1

Abstract

With the help of computational fluid dynamics (CFD), hemodynamics of the pulmonary arteries (PA's) can be studied in detail and varying physiological circumstances and treatment options can be simulated. This offers the opportunity to improve the diagnostics and treatment of PA stenosis in biventricular congenital heart disease (CHD). The aim of this review was to evaluate the methods of computational studies for PA's in biventricular CHD and the level of validation of the numerical outcomes. A total of 34 original research papers were selected. The literature showed a great variety in the used methods for (re) construction of the geometry as well as definition of the boundary conditions and numerical setup. There were 10 different methods identified to define inlet boundary conditions and 17 for outlet boundary conditions. A total of nine papers verified their CFD outcomes by comparing results to clinical data or by an experimental mock loop. The diversity in used methods and the low level of validation of the outcomes result in uncertainties regarding the reliability of numerical studies. This limits the current clinical utility of CFD for the study of PA flow in CHD. Standardization and validation of the methods are therefore recommended.

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先天性心脏病肺动脉的计算分析:方法和结果综述。
在计算流体动力学(CFD)的帮助下,可以详细研究肺动脉(PA)的血流动力学,并可以模拟不同的生理环境和治疗方案。这为提高双室先天性心脏病(CHD)的PA狭窄的诊断和治疗提供了机会。本综述的目的是评估双室冠心病中PA的计算研究方法和数值结果的验证水平。入选的原创研究论文共34篇。文献显示,用于(重新)构造几何图形以及边界条件的定义和数值设置的方法多种多样。确定了10种不同的方法来定义进口边界条件,17种不同的方法来定义出口边界条件。共有9篇论文通过将结果与临床数据或实验模拟循环进行比较来验证他们的CFD结果。所使用方法的多样性和结果验证的低水平导致数值研究的可靠性存在不确定性。这限制了目前CFD在冠心病心绞痛血流研究中的临床应用。因此建议对这些方法进行标准化和验证。
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来源期刊
Computational and Mathematical Methods in Medicine
Computational and Mathematical Methods in Medicine MATHEMATICAL & COMPUTATIONAL BIOLOGY-
自引率
0.00%
发文量
1599
审稿时长
6 months
期刊介绍: Computational and Mathematical Methods in Medicine publishes research and review articles focused on the application of mathematics to problems arising from the biomedical sciences. Areas of interest include gene therapy, cell kinetics, pharmacokinetics, chemotherapy, oncology, developmental biology, wound healing, physiology, heart modelling, cardiovascular and lung dynamics, neurobiology, computational neuroscience, biomechanics, biomedical statistics, image analysis, epidemiology, immunology, time series analysis, extracellular matrix properties and signalling, and tissue engineering. The most recent Impact Factor for Computational and Mathematical Methods in Medicine is 1.018 according to 2013 Journal Citation Reports released by Thomson Reuters in 2014. Computational and Mathematical Methods in Medicine currently has an acceptance rate of 42%. The average time between submission and final decision is 63 days and the average time between acceptance and final publication is 43 days.
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