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Using Patient-Based Computational Fluid Dynamics for Abdominal Aortic Aneurysm Assessment.

Natthaporn Kaewchoothong1, Sorracha Rookkapan2, Chayut Nuntadusit1

  • 1Department of Mechanical and Mechatronics Engineering, Faculty of Engineering, Prince of Songkla University, Hat Yai 90112, Songkhla, Thailand.

Bioengineering (Basel, Switzerland)
|December 30, 2025
PubMed
Summary
This summary is machine-generated.

Computational fluid dynamics revealed increased turbulence and specific shear stress patterns in abdominal aortic aneurysms (AAAs). These hemodynamic changes, particularly low time-averaged wall shear stress and high oscillating shear index, may indicate rupture risk.

Keywords:
abdominal aortic aneurysmcomputational fluid dynamichemodynamic changespersonalized modelrupture risk

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Area of Science:

  • Cardiovascular Science
  • Biomedical Engineering
  • Medical Imaging

Background:

  • Abdominal aortic aneurysm (AAA) is a life-threatening condition associated with rupture risk.
  • Understanding hemodynamic changes within AAAs is crucial for risk assessment.

Purpose of the Study:

  • To investigate blood flow behaviors and hemodynamic changes in patient-specific abdominal aortic aneurysms (AAAs) of varying sizes.
  • To utilize computational fluid dynamics (CFD) to analyze turbulence, wall shear stress, and oscillating shear index in AAAs.

Main Methods:

  • Construction of patient-specific AAA models from computed tomography (CT) images.
  • Application of computational fluid dynamics (CFD) to simulate blood flow in AAA models.
  • Inclusion of one healthy subject and seven patients with AAAs (>3 cm diameter).

Main Results:

  • Aortic aneurysms exhibited significant turbulence during the diastolic phase, increasing with aneurysm size.
  • Time-averaged wall shear stress (TAWSS) peaked during systole and decreased in diastole.
  • Higher oscillating shear index (OSI) was observed in the middle and distal aneurysm sac, correlating with low TAWSS.

Conclusions:

  • CFD analysis provides valuable insights into blood flow dynamics within AAAs.
  • Low TAWSS and high OSI in AAA regions are potential indicators of increased wall rupture risk.
  • Hemodynamic parameter analysis aids in understanding AAA pathophysiology and rupture potential.