A computational study of branch-wise curvature in idealized coronary artery bifurcations

Kashyap, Vivek; Arora, B.B.; Bhattacharjee, Sourajit

doi:10.1016/j.apples.2020.100027

Cited by 13 publications

(18 citation statements)

References 52 publications

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“…In general, regardless of the type of geometry, it has been shown that there is a direct correlation between wide angulation in the coronary artery branches and hemodynamic changes, such as disturbed flow and low WSS, possibly inducing the development of atherosclerosis [87,89]. Although consistent observations between idealized and patient-specific models have been demonstrated by Chaichana et al, (2011) [89], the same is not true when talking about the arteries' curvature and tortuosity, since small variations can lead to different hemodynamic simulated results [6]. It was shown that the specific curvature of each branch of the coronary bifurcation affects the hemodynamics of the remaining three branches, which can cause an increase in atherosusceptibility [6].…”

Section: Geometrical Parameters and Stenosis Severitymentioning

confidence: 99%

“…In this regard, the different geometries, boundary conditions, and flow characteristics applied by some researchers in the last ten years are summarized in Table 1. [6] Idealized power, these have become an increasingly reliable tool for measuring biomechanical factors vital for clinical decision-making and surgical planning. However, the proper selection of the flow boundary conditions has to be done, otherwise, the findings can be considered uncertain, weak, and unrealistic [74].…”

Section: Blood Flow Studies In Coronary Arteriesmentioning

confidence: 99%

“…N.A-Not available. All images were adapted from [6,11,42,43,47,[57][58][59][60]64,[74][75][76][77][78][79][80][81][82][83][84][85][86][87][88]. N.A-Not available.…”

Section: Blood Flow Studies In Coronary Arteriesmentioning

confidence: 99%

“…Before studying directly stenotic coronary arteries, some authors have dedicated their time to study the effect of geometrical parameters, such as the branch curvatures, tortuosities, and the angulations of the arteries, and relating them to the development of atherosclerosis, by resorting to idealized geometries, or the combination of patient-specific models with idealized ones [6,87,89]. In general, regardless of the type of geometry, it has been shown that there is a direct correlation between wide angulation in the coronary artery branches and hemodynamic changes, such as disturbed flow and low WSS, possibly inducing the development of atherosclerosis [87,89].…”

Section: Geometrical Parameters and Stenosis Severitymentioning

confidence: 99%

“…Briefly, atherosclerosis is a silent, multifactorial, and complex disease initiated when lipids and immune cells are accumulated in the arterial wall, resulting in the formation of a plaque [4,5]. This has been correlated to local biological, biomechanical, and systemic factors [6][7][8]. Among these factors, local hemodynamics has been indicated as the major cause [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

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Blood Flow Modeling in Coronary Arteries: A Review

Carvalho

Pinho

Lima

et al. 2021

Fluids

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Atherosclerosis is one of the main causes of cardiovascular events, namely, myocardium infarction and cerebral stroke, responsible for a great number of deaths every year worldwide. This pathology is caused by the progressive accumulation of low-density lipoproteins, cholesterol, and other substances on the arterial wall, narrowing its lumen. To date, many hemodynamic studies have been conducted experimentally and/or numerically; however, this disease is not yet fully understood. For this reason, the research of this pathology is still ongoing, mainly, resorting to computational methods. These have been increasingly used in biomedical research of atherosclerosis because of their high-performance hardware and software. Taking into account the attempts that have been made in computational techniques to simulate realistic conditions of blood flow in both diseased and healthy arteries, the present review aims to give an overview of the most recent numerical studies focused on coronary arteries, by addressing the blood viscosity models, and applied physiological flow conditions. In general, regardless of the boundary conditions, numerical studies have been contributed to a better understanding of the development of this disease, its diagnosis, and its treatment.

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Section: Geometrical Parameters and Stenosis Severitymentioning

confidence: 99%

Section: Blood Flow Studies In Coronary Arteriesmentioning

confidence: 99%

“…N.A-Not available. All images were adapted from [6,11,42,43,47,[57][58][59][60]64,[74][75][76][77][78][79][80][81][82][83][84][85][86][87][88]. N.A-Not available.…”

Section: Blood Flow Studies In Coronary Arteriesmentioning

confidence: 99%

Section: Geometrical Parameters and Stenosis Severitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Blood Flow Modeling in Coronary Arteries: A Review

Carvalho

Pinho

Lima

et al. 2021

Fluids

View full text Add to dashboard Cite

show abstract

Integrating Computational and Biological Hemodynamic Approaches to Improve Modeling of Atherosclerotic Arteries

Vuong,

Bartolf‐Kopp,

Andelovic

et al. 2024

Advanced Science

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Atherosclerosis is the primary cause of cardiovascular disease, resulting in mortality, elevated healthcare costs, diminished productivity, and reduced quality of life for individuals and their communities. This is exacerbated by the limited understanding of its underlying causes and limitations in current therapeutic interventions, highlighting the need for sophisticated models of atherosclerosis. This review critically evaluates the computational and biological models of atherosclerosis, focusing on the study of hemodynamics in atherosclerotic coronary arteries. Computational models account for the geometrical complexities and hemodynamics of the blood vessels and stenoses, but they fail to capture the complex biological processes involved in atherosclerosis. Different in vitro and in vivo biological models can capture aspects of the biological complexity of healthy and stenosed vessels, but rarely mimic the human anatomy and physiological hemodynamics, and require significantly more time, cost, and resources. Therefore, emerging strategies are examined that integrate computational and biological models, and the potential of advances in imaging, biofabrication, and machine learning is explored in developing more effective models of atherosclerosis.

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A review on non-Newtonian fluid models for multi-layered blood rheology in constricted arteries

Wajihah

Sankar

2023

Arch Appl Mech

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Haemodynamics is a branch of fluid mechanics which investigates the features of blood when it flows not only via blood vessels of smaller/larger diameter, but also under normal as well as abnormal flow states, such as in the presence of stenosis, aneurysm, and thrombosis. This review aims to discuss the rheological properties of blood, geometry of constrictions, dilations and the emergence of single-layered fluid to four-layered fluid models. To discuss further the influence of the aforesaid parameters on the physiologically important flow quantities, the mathematical formulation and solution methodology of the two-layered and four layered arterial blood flow problems studied by the authors (Afiqah and Sankar in ARPN J Eng Appl Sci 15:1129--1143, 2020, Comput Methods Programs Biomed 199:105907, 2021. 10.1016/j.cmpb.2020.105907) are recalled. It should be pointed out that the increasing resistive impedance to flow in three distinct states encompassing healthy, anaemic, and diabetic demonstrates that the greater the restriction in the artery, very few blood is carried to the pathetic organs, leading to subjects’ death. It is also discovered that the pulsatile nature of blood movement produces a dynamic environment that poses a slew of intriguing and unstable fluid mechanical state. It is hoped that the intriguing results gathered from this literature survey and review conducted may help the medical practitioners to forecast blood behaviour mobility in stenotic arteries. Furthermore, the physiological information gathered from the available clinical data from the literature on patients diagnosed with diabetes and anaemia may be beneficial to doctors in deciding the therapeutic procedure for treating some particular cardiovascular disease.

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A computational study of branch-wise curvature in idealized coronary artery bifurcations

Cited by 13 publications

References 52 publications

Blood Flow Modeling in Coronary Arteries: A Review

Blood Flow Modeling in Coronary Arteries: A Review

Integrating Computational and Biological Hemodynamic Approaches to Improve Modeling of Atherosclerotic Arteries

A review on non-Newtonian fluid models for multi-layered blood rheology in constricted arteries

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