Towards A Noninvasive Method for Determination of Patient-Specific Wall Strength Distribution in Abdominal Aortic Aneurysms

2006 ◽  
Vol 34 (7) ◽  
pp. 1098-1106 ◽  
Author(s):  
Jonathan P. Vande Geest ◽  
David H. J. Wang ◽  
Stephen R. Wisniewski ◽  
Michel S. Makaroun ◽  
David A. Vorp
2019 ◽  
Vol 19 (03) ◽  
pp. 1950015 ◽  
Author(s):  
JOSEPH R. LEACH ◽  
CHENGCHENG ZHU ◽  
DAVID SALONER ◽  
MICHAEL D. HOPE

Biomechanical analyses can be used to better understand the rupture risk of abdominal aortic aneurysms (AAAs) on a patient-specific basis using vascular geometries obtained from medical imaging. Methodologies of varying complexity are used to estimate the unloaded state of the imaged vessel to provide a reference configuration for finite element simulations. In this work, we compare the implementation and results of two of these methods, one based on geometric scaling and the other using an iterative determination of unloaded vessel geometry. We find that the two methods result in significantly different stress predictions, and that the iterative method offers superior geometric accuracy. Our findings lend context to the variation in finite element results presented in the AAA stress analysis literature.


2016 ◽  
Vol 36 (suppl_1) ◽  
Author(s):  
Baohui Xu ◽  
Haojun Xuan ◽  
Naoki Fujimura ◽  
Sara A Michie ◽  
Ronald L Dalman

Introduction: Abdominal aortic aneurysms (AAA) manifest histologic features consistent with other chronic inflammatory diseases. Infiltrating mural myeloid cells (e.g. macrophages) are already recognized as important contributors to aneurysm pathogenesis, however, the role of plasmacytoid dendritic cells (pDC), major type 1 interferon-producing myeloid cells involving in autoimmune diseases and atherosclerosis, has not been previously investigated in this context. Methods and Results: AAAs were created in 12 week old male C57BL/6J mice by transient intra-aortic infusion of porcine pancreatic elastase (PPE). AAA development and progression were assessed via serial ultrasound determination of aortic diameter in vivo , and histology at sacrifice. The fraction of circulating leukocytes identified as pDCs was significantly increased immediately following PPE infusion (aneurysm initiation). Treatment with mPDCA-1 mAb (400 μg i.p. q.o.d.), beginning one day prior to PPE infusion, depleted more than 90% of bone marrow, spleen and peripheral blood pDCs (data not shown) and suppressed subsequent aneurysm development and progression compared to that noted in PPE-infused mice treated with control mAb. mPDCA-1 treatment promoted aortic medial elastin and smooth muscle preservation, while limiting mural macrophage accumulation and neocapillary formation. Conclusion: These findings suggest a role for plasmacytoid dendritic cells in promoting the initiation and progression of experimental abdominal aortic aneurysms.


Author(s):  
Amirhossein Arzani ◽  
Shawn C. Shadden

Abdominal aortic aneurysms (AAA) are characterized by disturbed flow patterns, low and oscillatory wall shear stress with high gradients, increased particle residence time, and mild turbulence. Diameter is the most common metric for rupture prediction, although this metric can be unreliable. We hypothesize that understanding the flow topology and mixing inside AAA could provide useful insight into mechanisms of aneurysm growth. AAA morphology has high variability, as with AAA hemodynamics, and therefore we consider patient-specific analyses over several small to medium sized AAAs. Vortical patterns dominate AAA hemodynamics and traditional analyses based on the Eulerian fields (e.g. velocity) fail to convey the complex flow structures. The computation of finite-time Lyapunov exponent (FTLE) fields and underlying Lagrangian coherent structures (LCS) help reveal a Lagrangian template for quantifying the flow [1].


Author(s):  
David M. Pierce ◽  
Thomas E. Fastl ◽  
Hannah Weisbecker ◽  
Gerhard A. Holzapfel ◽  
Borja Rodriguez-Vila ◽  
...  

Through progress in medical imaging, image analysis and finite element (FE) meshing tools it is now possible to extract patient-specific geometries from medical images of, e.g., abdominal aortic aneurysms (AAAs), and thus to study clinically relevant problems via FE simulations. Medical imaging is most often performed in vivo, and hence the reconstructed model geometry in the problem of interest will represent the in vivo state, e.g., the AAA at physiological blood pressure. However, classical continuum mechanics and FE methods assume that constitutive models and the corresponding simulations start from an unloaded, stress-free reference condition.


2010 ◽  
Vol 43 (7) ◽  
pp. 1408-1416 ◽  
Author(s):  
Barry J. Doyle ◽  
Aidan J. Cloonan ◽  
Michael T. Walsh ◽  
David A. Vorp ◽  
Timothy M. McGloughlin

2010 ◽  
Vol 40 (1) ◽  
pp. 47-53 ◽  
Author(s):  
F. Helderman ◽  
I.J. Manoch ◽  
M. Breeuwer ◽  
U. Kose ◽  
H. Boersma ◽  
...  

Author(s):  
Ender A. Finol ◽  
Shoreh Hajiloo ◽  
Keyvan Keyhani ◽  
David A. Vorp ◽  
Cristina H. Amon

Abdominal Aortic Aneurysms (AAAs) are characterized by a continuous dilation of the infrarenal segment of the abdominal aorta. Despite significant improvements in surgical procedures and imaging techniques, the mortality and morbidity rates associated with untreated ruptured AAAs are still outrageously high. AAA disease is a health risk of significant importance since this kind of aneurysm is mostly asymptomatic until its rupture, which is frequently a lethal event with an overall mortality rate in the 80% to 90% range. From a purely biomechanical viewpoint, aneurysm rupture is a phenomenon that occurs when the mechanical stress acting on the dilating inner wall exceeds its failure strength. Since the internal mechanical forces are maintained by the dynamic action of blood flowing in the aorta, the quantification of the hemodynamics of AAAs is essential for the characterization of their biomechanical environment.


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