Key result
Computational biomechanics improves AAA rupture risk estimation over size-based criteria by combining wall stress and strength.
Why the study?
Assessing abdominal aortic aneurysm rupture risk via computational biomechanics promises greater efficacy than current size-based criteria, but progress in estimating patient-specific wall strength remains limited.
Does computational biomechanics via finite element analysis provide better assessment of abdominal aortic aneurysm rupture risk compared to size-based criteria?
Does computational biomechanics via finite element analysis provide better assessment of abdominal aortic aneurysm rupture risk compared to size-based criteria?
Personalized biomechanical assessment combining wall stress and strength could improve AAA rupture risk prediction over size-based criteria, but requires better non-invasive estimation of wall properties.
Answers are grounded in this paper and cite their sources.
Biomechanical modeling may refine AAA rupture risk beyond diameter; leaves open prospective validation and non-invasive wall property estimation.
Computational biomechanics via finite element analysis (FEA) has long promised a means of assessing patient-specific abdominal aortic aneurysm (AAA) rupture risk with greater efficacy than current clinically used size-based criteria. The pursuit stems from the notion that AAA rupture occurs when wall stress exceeds wall strength. Quantification of peak (maximum) wall stress (PWS) has been at the cornerstone of this research, with numerous studies having demonstrated that PWS better differentiates ruptured AAAs from non-ruptured AAAs. In contrast to wall stress models, which have become progressively more sophisticated, there has been relatively little progress in estimating patient-specific wall strength. This is because wall strength cannot be inferred non-invasively, and measurements from excised patient tissues show a large spectrum of wall strength values. In this review, we highlight studies that investigated the relationship between biomechanics and AAA rupture risk. We conclude that combining wall stress and wall strength approximations should provide better estimations of AAA rupture risk. However, before personalized biomechanical AAA risk assessment can become a reality, better methods for estimating patient-specific wall properties or surrogate markers of aortic wall degradation are needed. Artificial intelligence methods can be key in stratifying patients, leading to personalized AAA risk assessment.
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Haller et al. (2020) conducted a review in Abdominal aortic aneurysm (AAA). Computational biomechanics via finite element analysis (FEA) vs. Size-based criteria was evaluated on AAA rupture risk. Combining wall stress and wall strength approximations via computational biomechanics provides better estimations of abdominal aortic aneurysm rupture risk than current size-based criteria.
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