Literature DB >> 30357605

Correlation between geometric parameters of the left coronary artery and hemodynamic descriptors of atherosclerosis: FSI and statistical study.

N Pinho1, C F Castro1, C C António1, N Bettencourt2, L C Sousa1, S I S Pinto3.   

Abstract

The hemodynamics conditioned by coronary geometry may play an important role in the creation of a pro-atherogenic environment in specific locations of the coronary tree. The aim of this study is to identify how several geometric parameters of the left coronary artery - cross-section areas, proximal left anterior descending artery length, angles between the branches and the septum, curvature and tortuosity - can be related with hemodynamic descriptors, using a computational fluid-structure interaction method. It is widely accepted that the hemodynamic indicators play an important role in identifying possible pro-atherogenic locations. A statistical study, using Pearson correlation coefficient and P value, was performed for a population study of 8 normal human left coronary arteries presenting right-dominant circulation. Within the study cases, arteries with high caliber (r = 0.88), high angles LMS-LAD (r = 0.49), LAD-LCx (r = 0.57) and LAD-Septum (r = 0.52), and high tortuosity LMS-LCx (r = 0.63) were correlated with a hemodynamic behavior propitious to plaque formation in the left anterior descending artery. In contrast, high proximal left anterior descending artery length (r = -0.41), high angle LMS-LCx (r = -0.59), high tortuosity LMS-LAD (r = -0.56) and LAD-LCx (r = -0.55) and high curvature of LMS (r = -0.60) and LCx (r = -0.56) can lead to non-favorable hemodynamic conditions for atheroma formation. Graphical abstract.

Entities:  

Keywords:  Arteries geometric measurements; Atherosclerosis; Fluid–structure interaction; Pearson correlation coefficient; Wall shear stress-based descriptors

Mesh:

Year:  2018        PMID: 30357605     DOI: 10.1007/s11517-018-1904-2

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


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