Improving the efficiency of abdominal aortic aneurysm wall stress computations

Area of Science:

• Biomedical Engineering
• Computational Mechanics
• Cardiovascular Research

Background:

• Abdominal aortic aneurysm (AAA) rupture is life-threatening, with maximal diameter being a limited predictor of risk.
• Patient-specific computational models offer better rupture risk prediction but are computationally demanding due to AAA wall nonlinearity.
• Current methods for quantifying AAA wall stress are complex and time-consuming, hindering clinical application.

Purpose of the Study:

• To develop and validate a computationally efficient linear model for estimating wall stress in abdominal aortic aneurysms.
• To provide a simplified approach for calculating patient-specific wall stresses, overcoming the limitations of nonlinear models.
• To assess the accuracy of the proposed linear model against conventional methods and a reference AAA model.

Main Methods:

• A novel linear model was developed to ensure equilibrium of wall stresses in AAA models.
• The linear model's accuracy was evaluated using simulations of idealized and patient-specific AAA geometries.
• Results were compared against conventional computational approaches and a reference AAA model with known properties.

Main Results:

• The proposed linear approach accurately approximates wall stresses across diverse AAA geometries and material properties.
• The linear model demonstrated comparable accuracy to conventional methods while significantly reducing computational load.
• Validation against a reference model confirmed the reliability of the linear approach for stress estimation.

Conclusions:

• The developed linear model provides an effective and efficient method for estimating patient-specific AAA wall stresses.
• This simplified approach has the potential to become a valuable clinical tool for assessing AAA rupture risk.
• The findings support the clinical utility of the linear model for improving AAA management and patient outcomes.