Index of microcirculatory resistance: state-of-the-art and potential applications in computational simulation of coronary artery disease.

Yingyi Geng; Xintong WU; Haipeng Liu; Dingchang Zheng; Ling Xia

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Index of microcirculatory resistance: state-of-the-art and potential applications in computational simulation of coronary artery disease.

Author: Yingyi GENG ¹ ; Xintong WU ¹ ; Haipeng LIU ² ; Dingchang ZHENG ³ ; Ling XIA ⁴
Author Information

1. Key Laboratory for Biomedical Engineering of Ministry of Education, Institute of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China.
2. Research Centre of Intelligent Healthcare, Faculty of Health and Life Science, Coventry University, Coventry CV1 5FB, UK.
3. Research Centre of Intelligent Healthcare, Faculty of Health and Life Science, Coventry University, Coventry CV1 5FB, UK. dingchang.zheng@coventry.ac.uk.
4. Key Laboratory for Biomedical Engineering of Ministry of Education, Institute of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China. xialing@zju.edu.cn.
Publication Type:Journal Article
Keywords: Computational simulation; Coronary artery disease (CAD); Index of microcirculatory resistance (IMR)
MeSH: Coronary Angiography; Coronary Artery Disease; Coronary Circulation; Humans; Microcirculation; Predictive Value of Tests; Vascular Resistance
From: Journal of Zhejiang University. Science. B 2022;23(2):123-140
CountryChina
Language:English
Abstract: The dysfunction of coronary microcirculation is an important cause of coronary artery disease (CAD). The index of microcirculatory resistance (IMR) is a quantitative evaluation of coronary microcirculatory function, which provides a significant reference for the prediction, diagnosis, treatment, and prognosis of CAD. IMR also plays a key role in investigating the interaction between epicardial and microcirculatory dysfunctions, and is closely associated with coronary hemodynamic parameters such as flow rate, distal coronary pressure, and aortic pressure, which have been widely applied in computational studies of CAD. However, there is currently a lack of consensus across studies on the normal and pathological ranges of IMR. The relationships between IMR and coronary hemodynamic parameters have not been accurately quantified, which limits the application of IMR in computational CAD studies. In this paper, we discuss the research gaps between IMR and its potential applications in the computational simulation of CAD. Computational simulation based on the combination of IMR and other hemodynamic parameters is a promising technology to improve the diagnosis and guide clinical trials of CAD.