Wall shear stress indicators influence the regular hemodynamic conditions in coronary main arterial diseases:...

Area of Science:

• Cardiovascular Imaging and Hemodynamics
• Biomedical Engineering
• Computational Fluid Dynamics

Background:

• Computational hemodynamics (CH) are crucial in understanding coronary artery disease progression.
• Hemodynamic forces, particularly wall shear stress (WSS), influence atherosclerotic plaque development.

Purpose of the Study:

• To investigate the impact of hemodynamic properties, especially coronary arterial wall stresses, on patient-specific coronary artery models.
• To evaluate the efficacy of CH simulations in assessing coronary artery disease severity non-invasively.

Main Methods:

• Acquisition of coronary computed tomography angiography (CCTA) images.
• Creation of 3D patient-specific coronary artery models.
• Performing CH simulations to derive hemodynamic variables like WSS and computational fractional flow reserve (cFFR).

Main Results:

• CH simulations yielded key hemodynamic variables including velocity magnitude (VM), mean arterial pressure difference, WSS, time-averaged WSS (TAWSS), oscillatory shear index (OSI), relative residence time (RRT), and cFFR.
• VM, mean pressure difference, and WSS indices showed consistency in predicting coronary disease severity.
• WSS indices were identified as a viable alternative to cFFR for assessing coronary lesion severity.

Conclusions:

• CH analysis provides valuable insights into pathophysiological conditions within patient-specific coronary models.
• Hemodynamic parameters, particularly WSS, offer a non-invasive method for medical experts to estimate coronary lumen area and stenosis severity.