Home Mathematics Computational analysis of the impact of aortic bifurcation geometry to AAA haemodynamics
Article
Licensed
Unlicensed Requires Authentication

Computational analysis of the impact of aortic bifurcation geometry to AAA haemodynamics

  • Denis V. Tikhvinskii , Lema R. Merzhoeva , Alexander P. Chupakhin , Andrey A. Karpenko and Daniil V. Parshin EMAIL logo
Published/Copyright: November 8, 2022

Abstract

Abdominal aortic aneurysm is a widespread disease of cardiovascular system. Predicting a moment of its rupture is an important task for modern vascular surgery. At the same time, little attention is paid to the comorbidities, which are often the causes of severe postoperative complications or even death. This work is devoted to a numerical study of the haemodynamics of the model geometry for possible localizations of abdominal aortic aneurysm: on the aortic trunk or on its bifurcation. Both rigid and FSI numerical simulations are considered and compared with the model aortic configuration without aneurysm. It is shown that in the case of localization of the aneurysm on the bifurcation, the pressure in aorta increases upstream. Moreover, only in the case of a special geometry,when the radii of the iliac arteries are equal (r1 = r2), and the angle between them is 60 degrees, there is a linear relationship between the pressure in the aorta above the aneurysm and the size of the aneurysm itself: the slope of the straight line is in the interval a ∈ (0.003; 0.857), and the coefficient of determination is R2 ⩾ 0.75. The area bounded by the curve of the ‘pressure–velocity’ diagram for the values of velocity and pressure upstream in the presence of an aneurysm decreases compared to a healthy case (a vessel without an aneurysm). The simulation results in the rigid and FSI formulations agree qualitatively with each other. The obtained results provide a better understanding of the relationship between the geometrical parameters of the aneurysm and the changing of haemodynamics in the aortic bifurcation and its effect on the cardiovascular system upstream of the aneurysm.

MSC 2010: 35Q92; 65M08; 76Zxx

Funding statement: This work was supported by a grant from Russian Science Foundation, project No. 21-15-00091.

References

[1] ANSYS Documentation, ANSYS CFX-Solver Theory Guide. ANSYS, Inc., http://www.ansys.com/Search in Google Scholar

[2] O. K. Baskurt, M. R. Hardeman, M. W. Rampling, and H. Meiselman, Handbook of Hemorheology and Hemodynamics. Biomedical and Health Research 69 (2007).Search in Google Scholar

[3] K. A. Beklemysheva, A. A. Danilov, I. B. Petrov, V. Yu. Salamatova, and Yu. V. Vassilevski, Virtual blunt injury of human thorax: age-dependent response of vascular system. Russ. J. Numer. Anal. Math. Modelling 30 (2015), No. 5, 259–268.10.1515/rnam-2015-0023Search in Google Scholar

[4] C. Berry, P. Burns, et al., MRI using ultrasmall superparamagnetic particles of iron oxide in patients under surveillance for abdominal aortic aneurysms to predict rupture or surgical repair: MRI for abdominal aortic aneurysms to predict rupture or surgery—the MARS study. Open Heart 2 (2015).10.1136/openhrt-2014-000190Search in Google Scholar PubMed PubMed Central

[5] R. L. T. Bevan, I. Sazonov, and P. H. Saksono, Patient-specific blood flow simulation through an aneurysmal thoracic aorta with a folded proximal neck. Numerical Methods in Biomedical Engineering 27 (2011), No. 8, 1167–1184.10.1002/cnm.1425Search in Google Scholar

[6] J. Biasetti, F. Hussain, and T. C. Gasser, Blood flow and coherent vortices in the normal and aneurysmatic aortas: a fluid dynamical approach to intra-luminal thrombus formation. J. R. Soc. Interface 8 (2011), 1449–1461.10.1098/rsif.2011.0041Search in Google Scholar PubMed PubMed Central

[7] S. Canic, Fluid-structure interaction in incompressible, viscous fluids. In: Springer’s CIME Lecture Notes (Analysis Series) ‘Progress in Mathematical Fluid Dynamics’ (Eds. M. Ruzicka and L. Berselli), 2020.10.1007/978-3-030-54899-5_2Search in Google Scholar

[8] J. A. Chirinos and P. Segers, Noninvasive evaluation of left ventricular afterload: part 2: arterial pressure-flow and pressure-volume relations in humans. Hypertension 56 (2010), 563–570.10.1161/HYPERTENSIONAHA.110.157339Search in Google Scholar PubMed

[9] P. G. Correa, J. R. Mac Intyre, J. M. Gomba, M. A. Cachile, J. P. Huilin, and H. Auradou, Three-dimensional flow structures in Xshaped junctions: Effect of the Reynolds number and crossing angle. Phys. Fluids 31 (2019), 1–13.10.1063/1.5087641Search in Google Scholar

[10] M. M. Chowdhury, L. P. Zieliński, J. J. Sun, S. Lambracos, J. R. Boyle, S. C. Harrison, J. H. F. Rudd, and P. A. Coughlin, Calcification of thoracic and abdominal aneurysms is associated with mortality and morbidity. Eur. J. Vasc. Endovasc. Surg. 55 (2018), 101–8.10.1016/j.jvs.2017.12.003Search in Google Scholar

[11] A. E. Darzhain, A. V. Boiko, V. M. Kulik, and A. P. Chupahin, Analysis of stability of the boundary layer on a flat plate under a finite-thickness two-layer compliant coating. J. Appl. Mech. Tech. Phys. 60 (2019), No. 4, 620–630.10.1134/S0021894419040047Search in Google Scholar

[12] A. E. Darzhain, A. V. Boiko, V. M. Kulik, and A. P. Chupahin, Parametric investigation of hydrodynamic stability of a boundary layer on a flat plate over two-layer compliant coatings. Thermophysics and Aeromechanics 27 (2020), 189–200.10.1134/S086986432002002XSearch in Google Scholar

[13] W. R. Dean, Note of the motion of fluid in a curved pipe. Phil. May. 20 (1997), No. 4, 208–223.10.1112/S0025579300001947Search in Google Scholar

[14] T. Dobroserdova, F. Liang, G. Panasenko, and Yu. Vassilevski, Multiscale models of blood flow in the compliant aortic bifurcation. Applied Mathematics Letters 93 (2019), 98–104.10.1016/j.aml.2019.01.037Search in Google Scholar

[15] T. C. Gasser, M. Auer, F. Labruto, J. Swedenborg, and J. Roy, Biomechanical rupture risk assessment of abdominal aortic aneurysms: model complexity versus predictability of finite element simulations. Eur. J. Vasc. Endovas. Surg. 40 (2010), 176–185.10.1016/j.ejvs.2010.04.003Search in Google Scholar PubMed

[16] A. J. Geers, I. Larrabide, H. G. Morales, and A. F. Frangi, Approximating hemodynamics of cerebral aneurysms with steady flow simulations. J. Biomech. 47 (2014), 178–185.10.1016/j.jbiomech.2013.09.033Search in Google Scholar PubMed

[17] E. Georgakarakos, C. V. Ioannou, Y. Kamarianakis, Y. Papaharilaou, T. Kostas, E. Manousaki, and A. N. Katsamouris, The role of geometric parameters in the prediction of abdominal aortic aneurysm wall stress. Eur. J. Vasc. Endovasc. Surg. 39 (2010), No. 1, 42–48.10.1016/j.ejvs.2009.09.026Search in Google Scholar PubMed

[18] R. Gottlob and R. May, Experimental thrombosis similar to clinical conditions produced on the hind-legs of minor laboratory animals. Angiology 5 (1954), No. 5, 307–311.10.1177/000331975400500404Search in Google Scholar PubMed

[19] L. A. Harker, A. B. Kelly, and S. R. Hanson, Experimental arterial thrombosis in nonhuman primates. Circulation 83 (1991), No. 6, 41–55.Search in Google Scholar

[20] A. Hong, J. Joachim, C. Buxin, C. Levé, A. Le Gall, and S. Millasseau, Using velocity-pressure loops in the operating room: a new approach of arterial mechanics for cardiac afterload monitoring under general anesthesia. American Journal of Physiology-Heart and Circulatory Physiology 317 (2019), No. 6, H1354–H1362.10.1152/ajpheart.00362.2019Search in Google Scholar PubMed

[21] I. E. Idelchik, Handbook of Hydraulic Resistances. Mashinostroenie Publishing House, 1975.Search in Google Scholar

[22] Yi. Inanç, Yu. Inanç, and H. Ay, The effect of demographic features on aortic arch anatomy and its role in the etiology of cerebrovascular disease. Neuropsychiatric Disease and Treatment 14 (2018), 29—35.10.2147/NDT.S152194Search in Google Scholar PubMed PubMed Central

[23] A. K. Khe, A. P. Chupakhin, A. A. Cherevko, Sh. Sh. Eliava, and Yu. V. Pilipenko, Viscous dissipation energy as a risk factor in multiple cerebral aneurysms. Russ. J. Numer. Anal. Math. Modelling 30 (2015), No. 5, 277–287.10.1515/rnam-2015-0025Search in Google Scholar

[24] A. K. Khe, A. A. Cherevko, A. P. Chupakhin, A. L. Krivoshapkin, and K. Yu. Orlov, Endovascular blood flow measurement system. Journal of Physics: Conference Series 722 (2016).10.1088/1742-6596/722/1/012041Search in Google Scholar

[25] A. K. Khe, A. A. Cherevko, A. P. Chupakhin, and A. L. Krivoshapkin, Hemodynamic monitoring of cerebral vessels. J. Appl. Math. Tech. Phys. 58 (2017), 763–770.10.1134/S0021894417050017Search in Google Scholar

[26] A. K. Khe, A. A. Cherevko, A. P. Chupakhin, A. L. Krivoshapkin, K. Yu Orlov, and V. A. Panarin, Monitoring of hemodynamics of brain vessels. J. Appl. Mech. Tech. Phys. 58 (2019), No. 5, 763–770.10.1134/S0021894417050017Search in Google Scholar

[27] V. M. Kulik, A. V. Boiko, B. Seoudi, et al., Measurement method of complex viscoelastic material properties. Int. J. Solids Struct. 47 (2010), No. 3, 374–382.10.1016/j.ijsolstr.2009.09.037Search in Google Scholar

[28] V. M. Kulik and A. V. Boiko, Physical principles of methods for measuring viscoelastic properties. J. Appl. Mech. Tech. Phys. 59 (2018), No. 5, 874–885.10.1134/S0021894418050152Search in Google Scholar

[29] A. Kumar, P. Persaud, A. F. Leite, and N. Aoyama, Aortic aneurysm: clinical findings, diagnostic and treatment. Aortic Aneurysm – Clinical Findings, Diagnostic, Treatment and Special Situations, 2021, 1–16.10.5772/intechopen.97258Search in Google Scholar

[30] Yu. O. Kuyanova, S. S. Presnyakov, A. V. Dubovoi, A. P. Chupakhin, and D. V. Parshin, Numerical study of the tee hydrodynamics in the model problem of optimizing the low-flow vascular bypass angle. J. Appl. Mech. Tech. Phys. 60 (2019), 1038–1045.10.1134/S0021894419060087Search in Google Scholar

[31] Iu. O. Kuianova, A. V. Dubovoy, and D. V. Parshin, Towards the numerical assessment in solving the problem of the effectiveness of vascular anastomosis in neurosurgical operations. J. Physics: Conference Series 1359 (2019), 1–7.10.1088/1742-6596/1359/1/012085Search in Google Scholar

[32] H. H. S. Lakshmanan, J. J. Shatzel, S. R. Olson, O. J. T. McCarty, and J. Maddala, Modeling the effect of blood vessel bifurcation ratio on occlusive thrombus formation. Comput. Methods Biomech. Biomed. Engrg. 22 (2019), No. 11, 972–980.10.1080/10255842.2019.1610744Search in Google Scholar PubMed PubMed Central

[33] I. Lashgari, O. Tammisola, V. Citro, M. P. Juniper, and L. Brandt, The planar X-junction flow: stability analysis and control. J. Fluid Mechanics 753 (2014), 1–28.10.1017/jfm.2014.364Search in Google Scholar

[34] A. Le Gall, É. Gayat, J. Joachim, et al., Velocity-pressure loops can estimate intrinsic and pharmacologically induced changes in cardiac afterload during non-cardiac surgery. An observational study. Journal of Clinical Monitoring and Computing (2011), 545–555.10.1007/s10877-021-00686-0Search in Google Scholar PubMed

[35] A. I. Lipovka, A. A. Karpenko, A. P. Chupakhin, and D. V. Parshin, Strength properties of abdominal aortic vessels: experimental results and perspectives. J. Appl. Mech. Tech. Phys. 63 (2022), No. 2, 251–258.10.1134/S0021894422020080Search in Google Scholar

[36] A. Lozovskiy, M. A. Olshanskii, and Yu. V. Vassilevski, Analysis and assessment of a monolithic FSI finite element method. Computers & Fluids 179 (2019), 277–288.10.1016/j.compfluid.2018.11.004Search in Google Scholar

[37] M. Yu. Mamatyukov, A. K. Khe, D. V. Parshin, P. I. Plotnikov, and A. P. Chupakhin, On the energy of a hydroelastic system: Blood flow in an artery with a cerebral aneurysm. J. Appl. Mech. Tech. Phys. 60 (2019), 977–988.10.1134/S0021894419060014Search in Google Scholar

[38] M. Yu. Mamatyukov, A. K. Khe, D. V. Parshin, and A. P. Chupakhin, Energy approach to the solution of the hydroelastic problem of diverticulum growth on fusiform aneurysm. J. Appl. Mech. Tech. Phys. 61 (2020), 866–877.10.1134/S0021894420050223Search in Google Scholar

[39] G. Metry, M. Spittle, Sh. Rahmati, F. Ronco, C. Ronco, and N. W. Levin, Online monitoring of cerebral hemodynamics during hemodialysis. Original Investigations: Dialysis Therapies 40 (2002), No. 5, 996–1004.10.1053/ajkd.2002.36333Search in Google Scholar PubMed

[40] L. M. Milne-Thompson, Theoretical Hydrodynamics. London, MoM and Co LTD; New York, St. Mahnis Press, 1960.Search in Google Scholar

[41] C. D. Murray, The physiological principle of minimum work: I. The vascular system and the cost of blood volume. Proc. of the National Academy of Sciences of the United States of America 12 (1926), No. 3, 207–214.10.1085/jgp.14.4.445Search in Google Scholar PubMed PubMed Central

[42] C. D. Murray, The physiological principle of minimum work: II. Oxygen exchange in capillaries. Proc. of the National Academy of Sciences of the United States of America 12 (1926), No. 5, 299–304.10.1085/jgp.14.4.445Search in Google Scholar

[43] F. Mut, R. Löhner, A. Chien, S. Tateshima, F. Viñuela, Ch. Putman, and J. R. Cebral, Computational hemodynamics framework for the analysis of cerebral aneurysms. Numerical Methods in Biomedical Engineering 27 (2011), No. 6, 822–839.10.1002/cnm.1424Search in Google Scholar PubMed PubMed Central

[44] K. Orlov, V. Panarin, A. Krivoshapkin, and D. Kislitsin, Assessment of periprocedural hemodynamic changes in arteriovenous malformation vessels by endovascular dual-sensor guidewire. Interventional Neuroradiology 21 (2015), No. 1, 101–107.10.15274/INR-2014-10096Search in Google Scholar PubMed PubMed Central

[45] A. Piechota-Polanczyk, A. Jozkowicz, W. Nowak, W. Eilenberg, C. Neumayer, T. Malinski, I. Huk, and C. Brostjan, The abdominal aortic aneurysm and intraluminal thrombus: current concepts of development and treatment. Front. Cardiovasc. Med. (2015), 2–19.10.3389/fcvm.2015.00019Search in Google Scholar PubMed PubMed Central

[46] P. I. Plotnikov and J. F. Toland, Modelling nonlinear hydroelastic waves. Philosophical Transactions of the Royal Society A - Mathematical Physical and Engineering Sciences 369 (2011), 2942–2956.10.1098/rsta.2011.0104Search in Google Scholar PubMed

[47] A. Polanczyk, A. Piechota-Polanczyk, L. Stefańczyk, and M. Strzelecki, Spatial configuration of abdominal aortic aneurysm analysis as a useful tool for the estimation of stent-graft migration. Diagnostics 10 (2020), No. 10, 737.10.3390/diagnostics10100737Search in Google Scholar PubMed PubMed Central

[48] Yue Qui and Jiarong Wang, Association between blood flow pattern and rupture risk of abdominal aortic aneurysm based on computational fluid dynamics. Eur. J. Vasc. Endovas. Surg. 20 (2020).Search in Google Scholar

[49] N. Sakalihasan, H. Kuivaniemi, B. Nusgens, R. Durieux, and J.-O. Defraigne, Aneurysm: Epidemiology Aetiology and Patho-physiology. Springer, 2018.Search in Google Scholar

[50] A. M. Sapardi, W. K. Hussam, A. Pothérat, and G. J. Sheard, Linear stability of confined flow around a 180-degree sharp bend. J. Fluid Mechanics 822 (2017), 813–847.10.1017/jfm.2017.266Search in Google Scholar

[51] I. Sazonov, A. W. Khir, and W. S. Hacham, A novel method for non-invasively detecting the severity and location of aortic aneurysms. Biomechanics and Modeling in Mechanobiology 16 (2017), 1225–1242.10.1007/s10237-017-0884-8Search in Google Scholar PubMed PubMed Central

[52] E. Sciubba, A critical reassessment of the Hess–Murray law. Entropy 18 (2016), 283.10.3390/e18080283Search in Google Scholar

[53] T. F. Sherman, On connecting large vessels to small. The meaning of Murray’s law. J. General Physiology 78, No. 4, 431–53.10.1085/jgp.78.4.431Search in Google Scholar PubMed PubMed Central

[54] L. P. Shilnikov, A. L. Shilnikov, D. V. Turaev, and L. O. Chua, Methods of qualitative theory in nonlinear dynamics, Part I, II. World Scientific Co. Pte. Ltd. (1998), 392.10.1142/9789812798596Search in Google Scholar

[55] F. T. Smith, Fluid flow into a curved pipe. Proceedings of the Royal Society of London. Series A, Mathematical and Physical Sciences 351 (1976), No. 1664, 71–87.10.1098/rspa.1976.0130Search in Google Scholar

[56] D. P. Stonko, J. Edwards, and H. Abdou, A technical and data analytic approach to pressure-volume loops over numerous cardiac cycles. JVS-Vascular Science 3 (2020), 73–84.10.1016/j.jvssci.2021.12.003Search in Google Scholar PubMed PubMed Central

[57] D. Tikhvinskii, Y. Kuianova, D. Kislitsin, et al., Numerical assessment of the risk of abnormal endothelialization for diverter devices: clinical data driven numerical study. J. Pers. Med. 12 (2022), No. 4, 652.10.3390/jpm12040652Search in Google Scholar PubMed PubMed Central

[58] G. R. Upchurch Jr. and T. A. Schaub, Abdominal aortic aneurysm. University of Michigan Health System Michigan, 73 (2006), No. 7, 1198–1204.Search in Google Scholar

[59] Yu. Vassilevski, M. Olshanskii, S. Simakov, and A. Korobov, Personalized computational hemodynamics. Models, methods and application for vascular surgery and antitumor therapy. Elsevier, 2020.Search in Google Scholar

[60] A. Wanhainen et al., European Society for Vascular Surgery (ESVS) 2019 Clinical Practice Guidelines on the Management of Abdominal Aorto-iliac Artery Aneurysms. Eur. J. Vasc. Endovasc. Surg. (2018), 8–93.Search in Google Scholar

[61] H. R. Williams, R. S. Trask, P. M. Weaver, and I. P. Bond, Minimum mass vascular networks in multifunctional materials. J. Royal Society Interface 5 (2008), No. 18, 55–65.10.1098/rsif.2007.1022Search in Google Scholar PubMed PubMed Central

[62] L. Xu, T. Yang, L. Yin, Y. Kong, Yu. Vassilevski, and F. Liang, Numerical simulation of blood flow in aorta with dilation: a comparison between laminar and LES modeling methods. Computer Modeling in Engineering & Sciences 124 (2020), No. 2, 1–18.10.32604/cmes.2020.010719Search in Google Scholar

[63] X. Zheng et al., Bio-inspired Murray materials for mass transfer and activity. Nat. Commun. 8 (2017), No. 1, 1–9.10.1038/ncomms14921Search in Google Scholar PubMed PubMed Central

Received: 2022-07-16
Accepted: 2022-09-01
Published Online: 2022-11-08
Published in Print: 2022-11-25

© 2022 Walter de Gruyter GmbH, Berlin/Boston

Downloaded on 15.1.2026 from https://www.degruyterbrill.com/document/doi/10.1515/rnam-2022-0026/pdf
Scroll to top button