Prediction for future occurrence of type A aortic dissection using computational fluid dynamics.

Area of Science:

• Cardiovascular Mechanics
• Medical Imaging Analysis
• Computational Fluid Dynamics

Background:

• The precise mechanisms driving acute type A aortic dissection (AAAD) remain incompletely understood.
• Investigating the biomechanical factors contributing to AAAD is crucial for developing preventative strategies.

Purpose of the Study:

• To elucidate the underlying mechanisms of AAAD by employing computational fluid dynamics (CFD) analysis.
• To identify hemodynamic patterns associated with the initiation of AAAD.

Main Methods:

• Patient-specific computed tomography (CT) imaging was utilized to create 3D models of healthy controls and pre-dissection AAAD cases.
• CFD simulations were performed to analyze pulsatile cardiac flow, evaluating parameters such as flow velocity, wall shear stress, and oscillatory shear index (OSI).

Main Results:

• Healthy controls exhibited parallel aortic flow with no significant OSI hotspots.
• Pre-dissection AAAD cases showed accelerated flow, vortex formation on the lesser curvature, and high OSI areas near the eventual entry site.
• High systolic wall shear stress was noted on the greater curvature due to accelerated flow.

Conclusions:

• Pre-onset high OSI areas, coupled with vortex flow, are strongly correlated with the primary entry site of AAAD.
• CFD analysis provides a valuable tool for understanding and potentially predicting AAAD development.