Hemodynamic Effects on Atherosclerosis-Prone Coronary Artery: Wall Shear Stress / Rate Distribution and Impedance Phase Angle in Coronary and Aortic Circulation

Lee, Byoung Kwon; Kwon, Hyuck Moon; Hong, Bum Kee; Park, Byung Eun; Suh, Sang Hyun; Cho, Min Tae; Lee, Chong Sun; Kim, Min Cheul; Kim, Charn Jung; Yoo, Sung-Shik; Kim, Hyun Seung

doi:10.3349/ymj.2001.42.4.375

Cited by 22 publications

(6 citation statements)

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“…This difference was thought to be due to all the enrolled patients having STEMI. Previously, the relationship between the presence of coronary artery disease and the shape of coronary artery was partially explained by some theories based on factors such as hemodynamics, arterial geometry, blood velocity, and shear stress 5,28,[31][32][33][34] . It has been reported that there was a substantial relationship between the short elongation of RCA and atherosclerosis 4 .…”

Section: Discussionmentioning

confidence: 99%

Influence of right coronary artery shape on TIMI frame count and lesion distribution

Altintas¹,

Ermiş²,

Çuğlan³

et al. 2021

ACME

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Background:The shape of the right coronary artery (RCA) may vary between individuals. Objective: The aim of this study was to investigate whether the shape of RCA has any effect on TIMI frame count (TFC), TIMI flow score, and lesion distribution length in patients with ST-elevation myocardial infarction (STEMI) caused by RCA. Materials and methods: The angiograms of 163 patients who applied to our hospital with STEMI caused by the RCA were included in the study. TFC's were calculated. Results: The patients were divided into two groups according to the geometric shape of the RCA as C (124 pts, 101 males, mean age 66.1 ± 12.3 years) or S (39 pts, 30 males, mean age 60.0 ± 10.8 years) based on the angiographic view from the left oblique position. Lesion location was significantly higher in the proximal and mid regions compared to the distal region in patients with C-RCA (p < 0.001). TFC was significantly higher in the S-RCA group (p = 0.0014). There was a statistically significant difference between the groups in terms of mean age of p = 0.003. Conclusion: Lesion frequency was significantly higher in the proximal and mid regions in patients with C-RCA. TFC's were significantly higher in the S-RCA group. Longer S-RCA length compared to C-RCA and local shear stress characteristics may also explain these findings.

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Section: Discussionmentioning

confidence: 99%

Influence of right coronary artery shape on TIMI frame count and lesion distribution

Altintas¹,

Ermiş²,

Çuğlan³

et al. 2021

ACME

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“…Due to turbulence and other hemodynamic disorders, the proximal heart is more prone to atherosclerosis (AS) followed by plaque rupture, hemorrhage, thrombosis and coronary artery spasm. At the same time, it may also lead to the occurrence of acute coronary syndrome (Lee et al, 2001).…”

Section: Discussionmentioning

confidence: 99%

Simulated coronary arterial hemodynamics of myocardial bridging

Ding,

Zhang,

Liu

et al. 2019

Rev. Cardiovasc. Med.

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This is an open access article under the CC BY-NC 4.0 license (https://creativecommons.org/licenses/by-nc/4.0/). The objective of this study was to explore the effects of myocardial bridge compression on blood flow, normal stress, circumferential stress and shear stress in mural coronary artery. An original mural coronary artery simulative device has been greatly improved and its measured hemodynamic parameters have been expanded from a single stress (normal stress) to multiple stresses to more fully and accurately simulate the true hemodynamic environment under normal stress, circumferential stress and shear stress. This device was used to more fully explore the relationship between hemodynamics and mural coronary atherosclerosis under the combined effects of multiple stresses. Results obtained from the mural coronary artery simulator showed stress abnormality to be mainly located in the proximal mural coronary artery where myocardial bridge compression was intensified and average and fluctuation values (maximum minus minimum) of proximal stress were significantly increased by 27.8% and 139%, respectively. It is concluded that myocardial bridge compression causes abnormalities in the proximal hemodynamics of the mural coronary artery. This is of great significance for understanding the hemodynamic mechanism of coronary atherosclerosis and has potential clinical value for the pathological effect and treatment of myocardial bridge.

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“…Fig. 2 shows a sample of these pressure and velocity profiles during cardiac cycles for modeling and CFD 6)…”

Section: Computational Fluid Dynamics Componentsmentioning

confidence: 99%

Computational Fluid Dynamics in Cardiovascular Disease

Lee

2011

Korean Circ J

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Computational fluid dynamics (CFD) is a mechanical engineering field for analyzing fluid flow, heat transfer, and associated phenomena, using computer-based simulation. CFD is a widely adopted methodology for solving complex problems in many modern engineering fields. The merit of CFD is developing new and improved devices and system designs, and optimization is conducted on existing equipment through computational simulations, resulting in enhanced efficiency and lower operating costs. However, in the biomedical field, CFD is still emerging. The main reason why CFD in the biomedical field has lagged behind is the tremendous complexity of human body fluid behavior. Recently, CFD biomedical research is more accessible, because high performance hardware and software are easily available with advances in computer science. All CFD processes contain three main components to provide useful information, such as pre-processing, solving mathematical equations, and post-processing. Initial accurate geometric modeling and boundary conditions are essential to achieve adequate results. Medical imaging, such as ultrasound imaging, computed tomography, and magnetic resonance imaging can be used for modeling, and Doppler ultrasound, pressure wire, and non-invasive pressure measurements are used for flow velocity and pressure as a boundary condition. Many simulations and clinical results have been used to study congenital heart disease, heart failure, ventricle function, aortic disease, and carotid and intra-cranial cerebrovascular diseases. With decreasing hardware costs and rapid computing times, researchers and medical scientists may increasingly use this reliable CFD tool to deliver accurate results. A realistic, multidisciplinary approach is essential to accomplish these tasks. Indefinite collaborations between mechanical engineers and clinical and medical scientists are essential. CFD may be an important methodology to understand the pathophysiology of the development and progression of disease and for establishing and creating treatment modalities in the cardiovascular field.

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Hemodynamic Effects on Atherosclerosis-Prone Coronary Artery: Wall Shear Stress / Rate Distribution and Impedance Phase Angle in Coronary and Aortic Circulation

Cited by 22 publications

References 0 publications

Influence of right coronary artery shape on TIMI frame count and lesion distribution

Influence of right coronary artery shape on TIMI frame count and lesion distribution

Simulated coronary arterial hemodynamics of myocardial bridging

Computational Fluid Dynamics in Cardiovascular Disease

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