Key result
Computational analysis enhances aortic stenosis assessment by incorporating geometry, pressure recovery, and wall compliance.
Why the study?
Accurate assessment of aortic valve stenosis is critical for prognosis and treatment, but current diagnostic methods rely on ideal fluid and geometry assumptions that may not apply well to aortic valve pathology.
Computational analysis offers a promising alternative to traditional imaging and invasive methods for assessing aortic valve stenosis by accounting for complex biomechanical factors like pressure recovery and wall compliance.
Answers are grounded in this paper and cite their sources.
May support computational aortic stenosis assessment; leaves open prospective validation before clinical adoption.
Aortic valve stenosis (AS) is a frequent and potentially severe disease of the heart. Accurate assessment of AS is a critical factor in determining prognosis and treatment. This paper describes the advantages and limitations of AS assessment from a biomechanical engineering perspective, by contrasting the non-invasive AS diagnostic methods of echocardiography (Echo), computed tomography (CT), magnetic resonance imaging (MRI), computational analysis (CA) including the invasive technique of cardiac catheterization. The findings illustrated that current methods of AS evaluation, with assumptions of an ideal fluid, geometry and governing equations may not apply well to the aortic valve pathology and could increase the uncertainty of the degree of stenosis and valve area. This review suggests an alternative method using CA, which could potentially overcome the pitfalls of other AS assessments that incorporate geometry, pressure recovery and aorta wall compliance, based on the accurate conversion of AS imaging to the numerical modelling. Further, this review highlights the importance of CA boundary conditions, and the role of verification and validation to produce reliable computational results.
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Zakikhani et al. (2019) conducted a review in Aortic valve stenosis. Computational analysis (CA) vs. Echocardiography, CT, MRI, and cardiac catheterization was evaluated.
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