Measurement and modeling of coronary blood flow.

Measurement and modeling of coronary blood flow.
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冠状动脉血流的测量和建模。

DOI:
10.1002/wsbm.1309
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发表时间:
2015
期刊:
Wiley interdisciplinary reviews. Systems biology and medicine
影响因子:
--
通讯作者:
Sinclair MD
Sinclair MD
中科院分区:
--
文献类型:
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作者:
Sinclair MD

文献摘要

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包括冠状动脉疾病和微血管疾病的缺血性心脏病是全球最大的死亡原因。在这种背景下,增强我们对冠状动脉结构和功能相互作用的理解不仅对于推进基础生理学至关重要,而且对于确定治疗这些疾病的新靶点也至关重要。了解冠状动脉血流的一个主要挑战是冠状动脉结构和功能在一系列空间和时间尺度上表现出不同的行为。虽然实验研究试图通过隔离特定机制来理解这一特征,但与此同时,计算模型也越来越多地提供了一个独特的框架来整合不同尺度的机械行为。此外,基础生理学的发现不断为评估冠心病严重程度的临床方法提供信息和更新。将这些技术结合起来,冠状循环的计算模型正在成为实验和临床领域之间的桥梁,提供了一个框架,将多个来源的成像和测量与控制物理定律的数学描述相结合。最先进的计算模型被用来将机械模型与数据相结合,以提供对冠状动脉生理学的新见解、医疗技术的优化以及指导临床实践的新应用。WIREs Syst Biol Med2015,7:335-356。 doi: 10.1002/wsbm.1309本文分类为:分析和计算方法 > 计算方法生理学 > 健康和疾病中的哺乳动物生理学系统属性和过程模型 > 器官、组织和生理模型
Ischemic heart disease that comprises both coronary artery disease and microvascular disease is the single greatest cause of death globally. In this context, enhancing our understanding of the interaction of coronary structure and function is not only fundamental for advancing basic physiology but also crucial for identifying new targets for treating these diseases. A central challenge for understanding coronary blood flow is that coronary structure and function exhibit different behaviors across a range of spatial and temporal scales. While experimental studies have sought to understand this feature by isolating specific mechanisms, in tandem, computational modeling is increasingly also providing a unique framework to integrate mechanistic behaviors across different scales. In addition, clinical methods for assessing coronary disease severity are continuously being informed and updated by findings in basic physiology. Coupling these technologies, computational modeling of the coronary circulation is emerging as a bridge between the experimental and clinical domains, providing a framework to integrate imaging and measurements from multiple sources with mathematical descriptions of governing physical laws. State‐of‐the‐art computational modeling is being used to combine mechanistic models with data to provide new insight into coronary physiology, optimization of medical technologies, and new applications to guide clinical practice.WIREs Syst Biol Med2015, 7:335–356. doi: 10.1002/wsbm.1309This article is categorized under:Analytical and Computational Methods > Computational MethodsPhysiology > Mammalian Physiology in Health and DiseaseModels of Systems Properties and Processes > Organ, Tissue, and Physiological Models