Skip to main navigation Skip to search Skip to main content

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

  • Cheng Hung Lee
  • , Kuo Sheng Liu
  • , Guan Heng Jhong
  • , Shih Jung Liu*
  • , Ming Yi Hsu
  • , Chao Jan Wang
  • , Kuo Chun Hung
  • *Corresponding author for this work
  • Chang Gung University
  • Chang Gung Memorial Hospital

Research output: Contribution to journalJournal Article peer-review

8 Scopus citations

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.

Original languageEnglish
Article number024111
JournalBiomicrofluidics
Volume8
Issue number2
DOIs
StatePublished - 01 03 2014

Bibliographical note

Publisher Copyright:
© 2014 AIP Publishing LLC.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Fingerprint

Dive into the research topics of 'Finite element analysis of helical flows in human aortic arch: A novel index'. Together they form a unique fingerprint.

Cite this