Computational models demonstrate mechanisms of growth and mechanosensitivity in thoracic aortic aneurysms, suggesting enhanced risk prediction and clinical translation.
Key Points
Aneurysm growth behavior is influenced by mechanosensitivity and structural integrity of the vessel, showing a spectrum of outcomes.
Models simulate diverse clinical phenotypes, showing variable progression despite similar initial characteristics.
Assessment using constrained mixture theory aids in predicting risk by capturing the relationship between growth factors and aneurysm behavior.
Findings may enable better patient-specific risk prediction and guide the integration of machine learning tools into clinical practice.