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.
| Original language | English |
|---|---|
| Pages (from-to) | 123-140 |
| Number of pages | 18 |
| Journal | Journal of Zhejiang University. Science. B |
| Volume | 23 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 28 Feb 2022 |
Bibliographical note
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Funder
This work was supported by the Natural Science Foundation of China (Nos. 61527811 and 61701435), the Key Research and Development Program of Zhejiang Province (No. 2020C03016), the Zhejiang Provincial Natural Science Foundation of China (No. LY17H180003), and the Medical Health Science and Technology Project of Zhejiang Provincial Health Commission (No. 2020RC094), China.Keywords
- Index of microcirculatory resistance (IMR)
- Coronary artery disease (CAD)
- Computational simulation