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    The Relationship Between Surface Curvature and Abdominal Aortic Aneurysm Wall Stress

    Source: Journal of Biomechanical Engineering:;2017:;volume( 139 ):;issue: 008::page 81006
    Author:
    de Galarreta, Sergio Ruiz
    ,
    Cazón, Aitor
    ,
    Antón, Raúl
    ,
    Finol, Ender A.
    DOI: 10.1115/1.4036826
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The maximum diameter (MD) criterion is the most important factor when predicting risk of rupture of abdominal aortic aneurysms (AAAs). An elevated wall stress has also been linked to a high risk of aneurysm rupture, yet is an uncommon clinical practice to compute AAA wall stress. The purpose of this study is to assess whether other characteristics of the AAA geometry are statistically correlated with wall stress. Using in-house segmentation and meshing algorithms, 30 patient-specific AAA models were generated for finite element analysis (FEA). These models were subsequently used to estimate wall stress and maximum diameter and to evaluate the spatial distributions of wall thickness, cross-sectional diameter, mean curvature, and Gaussian curvature. Data analysis consisted of statistical correlations of the aforementioned geometry metrics with wall stress for the 30 AAA inner and outer wall surfaces. In addition, a linear regression analysis was performed with all the AAA wall surfaces to quantify the relationship of the geometric indices with wall stress. These analyses indicated that while all the geometry metrics have statistically significant correlations with wall stress, the local mean curvature (LMC) exhibits the highest average Pearson's correlation coefficient for both inner and outer wall surfaces. The linear regression analysis revealed coefficients of determination for the outer and inner wall surfaces of 0.712 and 0.516, respectively, with LMC having the largest effect on the linear regression equation with wall stress. This work underscores the importance of evaluating AAA mean wall curvature as a potential surrogate for wall stress.
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      The Relationship Between Surface Curvature and Abdominal Aortic Aneurysm Wall Stress

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    contributor authorde Galarreta, Sergio Ruiz
    contributor authorCazón, Aitor
    contributor authorAntón, Raúl
    contributor authorFinol, Ender A.
    date accessioned2017-11-25T07:19:51Z
    date available2017-11-25T07:19:51Z
    date copyright2017/16/6
    date issued2017
    identifier issn0148-0731
    identifier otherbio_139_08_081006.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4236064
    description abstractThe maximum diameter (MD) criterion is the most important factor when predicting risk of rupture of abdominal aortic aneurysms (AAAs). An elevated wall stress has also been linked to a high risk of aneurysm rupture, yet is an uncommon clinical practice to compute AAA wall stress. The purpose of this study is to assess whether other characteristics of the AAA geometry are statistically correlated with wall stress. Using in-house segmentation and meshing algorithms, 30 patient-specific AAA models were generated for finite element analysis (FEA). These models were subsequently used to estimate wall stress and maximum diameter and to evaluate the spatial distributions of wall thickness, cross-sectional diameter, mean curvature, and Gaussian curvature. Data analysis consisted of statistical correlations of the aforementioned geometry metrics with wall stress for the 30 AAA inner and outer wall surfaces. In addition, a linear regression analysis was performed with all the AAA wall surfaces to quantify the relationship of the geometric indices with wall stress. These analyses indicated that while all the geometry metrics have statistically significant correlations with wall stress, the local mean curvature (LMC) exhibits the highest average Pearson's correlation coefficient for both inner and outer wall surfaces. The linear regression analysis revealed coefficients of determination for the outer and inner wall surfaces of 0.712 and 0.516, respectively, with LMC having the largest effect on the linear regression equation with wall stress. This work underscores the importance of evaluating AAA mean wall curvature as a potential surrogate for wall stress.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleThe Relationship Between Surface Curvature and Abdominal Aortic Aneurysm Wall Stress
    typeJournal Paper
    journal volume139
    journal issue8
    journal titleJournal of Biomechanical Engineering
    identifier doi10.1115/1.4036826
    journal fristpage81006
    journal lastpage081006-7
    treeJournal of Biomechanical Engineering:;2017:;volume( 139 ):;issue: 008
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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