Key result
Finite element-based computational models suggest that geometrical parameters and tissue mechanical properties modulate peak wall stress values, encouraging their use in rupture risk assessment.
Computational modeling suggests that expanding geometrical parameters and considering tissue mechanical properties may improve rupture risk assessment in abdominal aortic aneurysms.
An aortic aneurysm (AA) is a focal dilatation of the aortic wall. Occurrence of AA rupture is an all too common event that is associated with high levels of patient morbidity and mortality. The decision to surgically intervene prior to AA rupture is made with recognition of significant procedural risks, and is primarily based on the maximal diameter and/or growth rate of the AA. Despite established thresholds for intervention, rupture occurs in a notable subset of patients exhibiting sub-critical maximal diameters and/or growth rates. Therefore, a pressing need remains to identify better predictors of rupture risk and ultimately integrate their measurement into clinical decision making. In this study, we use a series of finite element-based computational models that represent a range of plausible AA scenarios, and evaluate the relative sensitivity of wall stress to geometrical and mechanical properties of the aneurysmal tissue. Taken together, our findings encourage an expansion of geometrical parameters considered for rupture risk assessment, and provide perspective on the degree to which tissue mechanical properties may modulate peak stress values within aneurysmal tissue.
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Azar et al. (2018) studied Abdominal aortic aneurysm. Geometrical and mechanical properties of aneurysmal tissue was evaluated on Wall stress sensitivity to geometrical and mechanical properties. Finite element-based computational models suggest that geometrical parameters and tissue mechanical properties modulate peak wall stress values, encouraging their use in rupture risk assessment.
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