Abstract:
Aorta is the largest vessel of the human circulatory system, which plays a critical role in the supply of oxygen and nutrients tp all organs of the abdominal cavity and lower limbs. The critical pathology of this vessel is aneurysm. In medical practice, an important problem is aortic aneurysm rupture prediction and surgery planning since aneurysm rupture outside the clinic, as a rule, leads to a lethal outcome. To construct adequate mathematical models that predict such an outcome, it is necessary to determine the strength characteristics of the tissues of the aorta itself, its aneurysm and iliac arteries at various stages of growth of such an aneurysm, and also taking into account patient data. The strength characteristics of tissues of the human aorta, its aneurysm, and iliac arteries have been studied. It has been experimentally proved that in samples of healthy aorta tissues, the differences between the values of the limiting relative deformations in the axial and tangential directions are statistically significant (p=0.033), which is not observed in the case of an aortic aneurysm. The results can also be interpreted as the fact of remodeling of the aortic aneurysm wall in comparison with the healthy aorta. These data can be used in personalized hydroelastic simulation during construction of predictive models for the rupture of such aneurysms.
Citation:
A. I. Lipovka, A. A. Karpenko, A. P. Chupakhin, D. V. Parshin, “Strength properties of vessels of the abdominal aorta: experimental results and perspectives”, Prikl. Mekh. Tekh. Fiz., 63:2 (2022), 84–93; J. Appl. Mech. Tech. Phys., 63:2 (2022), 251–258
This publication is cited in the following 4 articles:
Denis Tikhvinsky, Maria Maus, Anna Lipovka, Nikita Nikitin, Rostislav Epifanov, Irina Volkova, Rustam Mullyadzhanov, Alexander Chupakhin, Daniil Parshin, Andrey Karpenko, Sara Abdelsalam, “The role of asymmetry and volume of thrombotic masses in the formation of local deformation of the aneurysmal-altered vascular wall: An in vivo study and mathematical modeling”, PLoS ONE, 19:6 (2024), e0301047
S. S. Simakov, “Analysis of the use of one-dimensional network models of blood flow to assess the hemodynamic coefficients in stenosis coronary arteries”, J. Appl. Mech. Tech. Phys., 65:3 (2024), 563–572
A. E. Medvedev, A. D. Erokhin, “Mathematical analysis of aortic deformation in aneurysm and wall dissection”, Mat. Biolog. Bioinform., 18:2 (2023), 464–478
Denis V. Tikhvinskii, Lema R. Merzhoeva, Alexander P. Chupakhin, Andrey A. Karpenko, Daniil V. Parshin, “Computational analysis of the impact of aortic bifurcation geometry to AAA haemodynamics”, Russian Journal of Numerical Analysis and Mathematical Modelling, 37:5 (2022), 311