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Hemodynamics in diabetic human aorta using computational fluid dynamics.

Eunji Shin1, Jung Joo Kim1, Seonjoong Lee1

  • 1National Leading Research Laboratory for Cardiovascular Engineering, Department of Physiology, College of Medicine, Cardiovascular and Metabolic Disease Center, Inje University, Busan, South Korea.

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|August 24, 2018
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Summary
This summary is machine-generated.

This study developed a 3D computational model to analyze the biomechanics of the aorta in diabetes mellitus (DM). The DM aorta exhibited lower blood flow, pressure, and stress, indicating increased susceptibility to rupture.

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Area of Science:

  • Biomedical Engineering
  • Computational Fluid Dynamics
  • Cardiovascular Research

Background:

  • Three-dimensional (3D) computational models are used for aortic diseases like aneurysm and dissection.
  • No existing models specifically study diabetes mellitus (DM) effects on the aorta.
  • Understanding DM's impact on aortic biomechanics is crucial for disease management.

Purpose of the Study:

  • To characterize the biomechanical properties of the human aorta in the context of diabetes mellitus.
  • To compare hemodynamic parameters between healthy and DM aortic models.
  • To investigate the potential link between DM-induced aortic changes and rupture susceptibility.

Main Methods:

  • Utilized 3D reconstruction from CT images (DICOM format) and Mimics software.
  • Employed COMSOL Multiphysics for a pulsatile blood pressure waveform, creating a biomimetic environment.
  • Performed hemodynamic analysis using computational fluid dynamics (CFD) based on the finite element method.

Main Results:

  • The diabetes mellitus (DM) aortic model showed lower mean blood flow velocity, aortic pressure, and von Mises stress compared to the control.
  • Reduced range of aortic movement was observed in the DM model, suggesting increased wall susceptibility to rupture.
  • Higher biomechanical values were noted in the ascending aorta for both models, correlating with common lesion sites.

Conclusions:

  • A novel computational approach integrating image processing and finite element analysis was developed for hemodynamics analysis.
  • The study provides insights into the altered biomechanical properties of the aorta in diabetes mellitus.
  • Findings suggest DM affects aortic hemodynamics, potentially increasing rupture risk and aiding understanding of aortic disease pathophysiology.