Key result
Geometric parameters including maximum diameter, wall thickness, and tortuosity significantly correlated with maximum wall stress in 190 idealized abdominal aortic aneurysm geometries.
p-value: p=<0.01
Universal Kriging geostatistical regression provides highly accurate estimations of AAA maximum wall stress based on geometry, which may help predict rupture potential.
May support geometry-based AAA stress modeling; leaves open validation for rupture prediction in patient cohorts.
parameter (ρ = 0.21) and tortuosity (ρ = 0.55) were found. The response surface function between geometry and maximum wall stress was estimated by three models: Universal Kriging geostatistical regression (18 parameters), multiple linear regression (4 parameters) and multiple exponential regression (4 parameters). The models accounted for the stress variance by 99 %, 61 % and 66 %, respectively, with average percentage errors of 0.12 %, 16 % and 17 %, respectively. The solution spaces obtained from this study might provide physicians with a better estimation of the AAA rupture potential and thus, facilitate safer and anticipated treatments of the condition.
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Pérez et al. (2016) studied Abdominal Aortic Aneurysm (n=190). Geometric parameters (maximum diameter, wall thickness, dc parameter, tortuosity) was evaluated on Maximum wall stress (p=<0.01). Geometric parameters including maximum diameter, wall thickness, and tortuosity significantly correlated with maximum wall stress in 190 idealized abdominal aortic aneurysm geometries.
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