Analysis and computer program for rupture-risk prediction of abdominal aortic aneurysms

Area of Science:

• Biomedical Engineering
• Computational Mechanics
• Vascular Surgery

Background:

• Abdominal aortic aneurysms (AAAs) are a significant cause of mortality in the US.
• Current risk assessment based on diameter and growth rate may be insufficient, particularly for smaller AAAs.
• Predicting AAA rupture risk is crucial for timely medical intervention.

Purpose of the Study:

• To develop a patient-specific computational tool for assessing AAA rupture risk.
• To provide a more reliable method for AAA risk stratification beyond traditional metrics.
• To aid in medical management decisions for patients with AAAs.

Main Methods:

• Development of a dimensionless, time-dependent severity parameter (SP(t)).
• Integration of eight biomechanical factors with weighting coefficients, including maximum wall stress.
• Utilized patient-specific pressure and AAA-geometry measurements for calculations.

Main Results:

• The developed SP(t) quantifies patient-specific AAA rupture risk.
• SP(t) provides a threshold for necessary surgical intervention.
• Validation with clinical cases demonstrates the parameter's applicability.

Conclusions:

• A patient-specific, normalized severity parameter (SP(t)) has been developed for AAA risk assessment.
• The SP(t) tool relies on biomechanical factors derived from patient measurements.
• This easy-to-use program supports scientific diagnosis and improves patient outcomes in AAA management.