基于ct的分流储备:开发与推广应用。

Ryo Torii, Magdi H Yacoub
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引用次数: 2

摘要

基于CT冠状动脉造影和计算流体动力学(CT-based FFR)来评估冠状动脉狭窄严重程度的血流储备分数计算大约在十年前被引入,现在是计算流体动力学建模在临床实践中最成功的应用之一。尽管这种方法背后的数学模型框架和临床操作模型各不相同,但其临床疗效在一般情况下得到了很好的证明。在这篇综述中,总结了基于ct的FFR计算背后的技术要素,并提出了一些关键假设和挑战。这些挑战的例子包括模型的复杂性(如血液粘度和血管壁顺应性模型),其影响在研究中一直存在争议。还审查了为解决处理时间的实际挑战所作的努力。然后,进一步的应用领域-心肌桥,肾狭窄和下肢狭窄-讨论以及在这些领域预期的具体挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

CT-based fractional flow reserve: development and expanded application.

CT-based fractional flow reserve: development and expanded application.

CT-based fractional flow reserve: development and expanded application.

CT-based fractional flow reserve: development and expanded application.

Computations of fractional flow reserve, based on CT coronary angiography and computational fluid dynamics (CT-based FFR) to assess the severity of coronary artery stenosis, was introduced around a decade ago and is now one of the most successful applications of computational fluid dynamic modelling in clinical practice. Although the mathematical modelling framework behind this approach and the clinical operational model vary, its clinical efficacy has been demonstrated well in general. In this review, technical elements behind CT-based FFR computation are summarised with some key assumptions and challenges. Examples of these challenges include the complexity of the model (such as blood viscosity and vessel wall compliance modelling), whose impact has been debated in the research. Efforts made to address the practical challenge of processing time are also reviewed. Then, further application areas-myocardial bridge, renal stenosis and lower limb stenosis-are discussed along with specific challenges expected in these areas.

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来源期刊
Global Cardiology Science & Practice
Global Cardiology Science & Practice Medicine-Cardiology and Cardiovascular Medicine
CiteScore
1.60
自引率
0.00%
发文量
20
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