Literature DB >> 24803960

Finite element analysis of helical flows in human aortic arch: a novel index.

Cheng-Hung Lee1, Kuo-Sheng Liu2, Guan-Heng Jhong3, Shih-Jung Liu4, Ming-Yi Hsu5, Chao-Jan Wang5, Kuo-Chun Hung6.   

Abstract

This study investigates the helical secondary flows in the aortic arch using finite element analysis. The relationship between helical flow and the configuration of the aorta in patients of whose three-dimensional images constructed from computed tomography scans was examined. A finite element model of the pressurized root, arch, and supra-aortic vessels was developed to simulate the pattern of helical secondary flows. Calculations indicate that most of the helical secondary flow was formed in the ascending aorta. Angle α between the zero reference point and the aortic ostium (correlation coefficient (r) = -0.851, P = 0.001), the dispersion index of the cross section of the ascending (r = 0.683, P = 0.021) and descending aorta (r = 0.732, P = 0.010), all correlated closely with the presence of helical flow (P < 0.05). Stepwise multiple linear regression analysis confirmed angel α to be independently associated with the helical flow pattern in therein (standardized coefficients = -0.721, P = 0.023). The presence of helical fluid motion based on the atherosclerotic risks of patients, including those associated with diabetes, hypertension, hyperlipidemia, or renal insufficiency, was also evaluated. Numerical simulation of the flow patterns in aortas incorporating the atherosclerotic risks may better explain the mechanism of formation of helical flows and provide insight into causative factors that underlie them.

Entities:  

Year:  2014        PMID: 24803960      PMCID: PMC4000403          DOI: 10.1063/1.4871037

Source DB:  PubMed          Journal:  Biomicrofluidics        ISSN: 1932-1058            Impact factor:   2.800


  34 in total

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Journal:  J Am Soc Echocardiogr       Date:  2011-10-07       Impact factor: 5.251

Review 5.  Flow dynamics in the human aorta.

Authors:  K B Chandran
Journal:  J Biomech Eng       Date:  1993-11       Impact factor: 2.097

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7.  Association between multiple cardiovascular risk factors and atherosclerosis in children and young adults. The Bogalusa Heart Study.

Authors:  G S Berenson; S R Srinivasan; W Bao; W P Newman; R E Tracy; W A Wattigney
Journal:  N Engl J Med       Date:  1998-06-04       Impact factor: 91.245

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10.  4D flow magnetic resonance imaging in bicuspid aortic valve disease demonstrates altered distribution of aortic blood flow helicity.

Authors:  R Lorenz; J Bock; A J Barker; F von Knobelsdorff-Brenkenhoff; W Wallis; J G Korvink; M M Bissell; J Schulz-Menger; M Markl
Journal:  Magn Reson Med       Date:  2013-05-28       Impact factor: 4.668

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  1 in total

1.  The influence of the aortic valve angle on the hemodynamic features of the thoracic aorta.

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  1 in total

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