Coronary artery plaque growth: A two-way coupled shear stress-driven model

Amirhossein Arzani1

  • 1Department of Mechanical Engineering, Northern Arizona University, Flagstaff, Arizona.

Insights

Low wall shear stress (WSS) drives atherosclerotic plaque growth in coronary arteries. A new computational model simulates this interaction, showing plaque grows downstream, matching clinical findings.

Area of Science:

  • Cardiovascular Science
  • Biomedical Engineering
  • Computational Fluid Dynamics

Background:

  • Atherosclerosis involves plaque growth, stenosis, and reduced blood flow in coronary arteries.
  • Hemodynamics, particularly low wall shear stress (WSS), are critical drivers of atherosclerotic plaque progression.
  • A complex, two-way interaction exists between WSS and plaque growth dynamics.

Purpose of the Study:

  • To develop and validate a computational framework simulating the coupled interaction between WSS and coronary artery plaque growth.
  • To investigate the influence of hemodynamics on plaque morphology and progression.
  • To provide a tool for studying hemodynamic-driven atherosclerotic development.

Main Methods:

  • Utilized computational fluid dynamics (CFD) to calculate WSS distribution.
  • Implemented a computational framework coupling CFD simulations with a plaque growth model.
  • Simulated 120 growth stages in an idealized tube and an image-based coronary artery model.
  • Automated the coupling process using open-source software.

Main Results:

  • Demonstrated significant plaque growth in the downstream segments, consistent with clinical observations.
  • Observed changes in plaque morphology and hemodynamic patterns throughout the simulated growth stages.
  • Validated the computational framework's ability to model the WSS-atherosclerosis feedback loop.

Conclusions:

  • The developed computational framework effectively simulates the coupled relationship between WSS and plaque growth.
  • Findings support the role of hemodynamics as a key factor in atherosclerotic progression.
  • The framework offers a valuable tool for future research into hemodynamic-driven cardiovascular disease models.

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