4.5 Article

Microstructure-based biomechanics of coronary arteries in health and disease

Journal

JOURNAL OF BIOMECHANICS
Volume 49, Issue 12, Pages 2548-2559

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.jbiomech.2016.03.023

Keywords

Constitutive model; Atherosclerosis; Elastin; Collagen; Smooth muscle cells

Funding

  1. National Institute of Health National Heart, Lung, and Blood Institute [5R01 HL117990]

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Coronary atherosclerosis is the major cause of mortality and disability in developed nations. A deeper understanding of mechanical properties of coronary arteries and hence their mechanical response to stress is significant for clinical prevention and treatment. Microstructure-based models of blood vessels can provide predictions of arterial mechanical response at the macro- and micro-mechanical level for each constituent structure. Such models must be based on quantitative data of structural parameters (constituent content, orientation angle and dimension) and mechanical properties of individual adventitia and media layers of normal arteries as well as change of structural and mechanical properties of atherosclerotic arteries. The microstructural constitutive models of healthy coronary arteries consist of three major mechanical components: collagen, elastin, and smooth muscle cells, while the models of atherosclerotic arteries should account for additional constituents including intima, fibrous plaque, lipid, calcification, etc. This review surveys the literature on morphology, mechanical properties, and micro structural constitutive models of normal and atherosclerotic coronary arteries. It also provides an overview of current gaps in knowledge that must be filed in order to advance this important area of research for understanding initiation, progression and clinical treatment of vascular disease. Patient specific structural models are highlighted to provide diagnosis, virtual planning of therapy and prognosis when realistic patient-specific geometries and material properties of diseased vessels can be acquired by advanced imaging techniques. (C) 2016 Elsevier Ltd. All rights reserved.

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