Description
Title: indicators of the risk of abdominal aortic aneurysm
Abstract: Finite element analysis (FEA) in computational biomechanics has long held promise as a way to more accurately assess a patient’s risk of abdominal aortic aneurysm (AAA) rupture than the currently applied size-based criteria. The pursuit is based on the hypothesis that AAA rupture happens. when wall strength is compromised by wall stress. The core of this research has been the quantification of peak (maximum) wall stress (PWS), as numerous studies have shown that PWS more accurately distinguishes ruptured AAAs from non-ruptured AAAs. Estimating patient-specific wall strength has made relatively little progress compared to wall stress models, which have advanced over time. This is because measurements taken from excised patient tissues reveal a wide range of wall strength values and wall strength cannot be inferred non-invasively. In this review, we focus on studies that looked into the connection between AAA rupture risk and biomechanics. We come to the conclusion that combining wall stress and wall strength approximations should result in more accurate assessments of the risk of AAA rupture. However, more accurate methods for calculating patient-specific wall properties or substitute indicators of aortic wall degradation are required before personalized biomechanical AAA risk assessment can become a reality. Methods of artificial intelligence could be crucial in dividing up the patient population to create a personalized AAA risk assessment.
Keywords: abdominal aneurysm; aortic aneurysm; aorta biomechanics; risk assessment; rupture potential index; aortic wall stress
Paper Quality: SCOPUS / Web of Science Level Research Paper
Subject: Bioengineering
Writer Experience: 20+ Years
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