Literature DB >> 31020444

Mathematical Modelling and Simulation of Atherosclerosis Formation and Progress: A Review.

Nikolaos A Avgerinos1, Panagiotis Neofytou2.   

Abstract

Cardiovascular disease (CVD) is a major threat to human health since it is the leading cause of death in western countries. Atherosclerosis is a type of CVD related to hypertension, diabetes, high levels of cholesterol, smoking, oxidative stress, and age. Atherosclerosis primarily occurs in medium and large arteries, such as coronary and the carotid artery and, in particular, at bifurcations and curvatures. Atherosclerosis is compared to an inflammatory disease where a thick, porous material comprising cholesterol fat, saturated sterols, proteins, fatty acids, calcium etc., is covered by an endothelial membrane and a fragile fibrous tissue which makes atheromatic plaque prone to rupture that could lead to the blockage of the artery due to the released plaque material. Despite the great progress achieved, the nature of the disease is not fully understood. This paper reviews the current state of modelling of all levels of atherosclerosis formation and progress and discusses further challenges in atherosclerosis modelling. The objective is to pave a way towards more precise computational tools to predict and eventually reengineer the fate of atherosclerosis.

Entities:  

Keywords:  Atherosclerosis; Biochemical; CFD; Haemodynamics; LDL mass transport; Multiscale multiphysics modelling

Year:  2019        PMID: 31020444     DOI: 10.1007/s10439-019-02268-3

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  5 in total

1.  Feasibility of longitudinal monitoring of atherosclerosis with pulse wave imaging in a swine model.

Authors:  Paul Kemper; Pierre Nauleau; Grigorios Karageorgos; Rachel Weber; Nancy Kwon; Matthias Szabolcs; Elisa Konofagou
Journal:  Physiol Meas       Date:  2021-12-28       Impact factor: 2.833

2.  WELL-POSEDNESS OF A MATHEMATICAL MODEL OF DIABETIC ATHEROSCLEROSIS WITH ADVANCED GLYCATION END-PRODUCTS.

Authors:  Xuming Xie
Journal:  Appl Anal       Date:  2022-04-06       Impact factor: 1.278

3.  The Hemodynamic Parameters Values Prediction on the Non-Invasive Hydrocuff Technology Basis with a Neural Network Applying.

Authors:  Marina Markuleva; Mikhail Gerashchenko; Sergey Gerashchenko; Robert Khizbullin; Igor Ivshin
Journal:  Sensors (Basel)       Date:  2022-06-01       Impact factor: 3.847

4.  Effects of Shortening Replacement with Extra Virgin Olive Oil on the Physical-Chemical-Sensory Properties of Italian Cantuccini Biscuits.

Authors:  Angelo Maria Giuffrè; Manuela Caracciolo; Marco Capocasale; Clotilde Zappia; Marco Poiana
Journal:  Foods       Date:  2022-01-23

5.  Early Atherosclerotic Changes in Coronary Arteries are Associated with Endothelium Shear Stress Contraction/Expansion Variability.

Authors:  Valentina Mazzi; Giuseppe De Nisco; Ayla Hoogendoorn; Karol Calò; Claudio Chiastra; Diego Gallo; David A Steinman; Jolanda J Wentzel; Umberto Morbiducci
Journal:  Ann Biomed Eng       Date:  2021-09       Impact factor: 3.934

  5 in total

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