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Assessing abdominal aorta narrowing using computational fluid dynamics

  • Mohammad Al-Rawi
  • Ahmed M. Al-JumailyEmail author
Original Article

Abstract

This paper investigates the effect of developing arterial blockage at the abdominal aorta on the blood pressure waves at an externally accessible location suitable for invasive measurements such as the brachial and the femoral arteries. Arterial blockages are created surgically within the abdominal aorta of healthy Wistar rats to create narrowing resemblance conditions. Blood pressure is measured using a catheter inserted into the right femoral artery. Measurements are taken at the baseline healthy condition as well as at four different severities (20, 50, 80 and 100 %) of arterial blockage. In vivo and in vitro measurements of the lumen diameter and wall thickness are taken using magnetic resonance imaging and microscopic techniques, respectively. These data are used to validate a 3D computational fluid dynamics model which is developed to generalize the outcomes of this work and to determine the arterial stress and strain under the blockage conditions. This work indicates that an arterial blockage in excess of 20 % of the lumen diameter significantly influences the pressure wave and reduces the systolic blood pressure at the right femoral artery. High wall shear stresses and low circumferential strains are also generated at the blockage site.

Keywords

Arterial blockage Pulse wave Atherosclerosis CFD 

Notes

Acknowledgments

This study was supported and funded by IBTec (Institute of Biomedical Technologies), Auckland University of Technology. The animal data were collected at Vernon Jansen Unit (VJU) at the University of Auckland with ethical approval R915 and the assistance of Dr. Jun Lu and IBTec’s PhD Candidate Miguel Jo-Avila. There are no known conflicts of interest associated with this publication, and there has been no significant financial support for this work that could have influenced its outcome.

References

  1. 1.
    Abassi Z, Goltsman I, Karram T, Winaver J, Hoffman A (2011) Aortocaval fistula in rat: a unique model of volume-overload congestive heart failure and cardiac hypertropy. J Biomed Biotechnol  2011:1–13. doi: 10.1155/2011/729497 CrossRefGoogle Scholar
  2. 2.
    Bathe M (1999) Kamm RD (1999) A fluid-structure interaction finite element analysis of pulsatile blood flow through a compliant stenotic artery. J Biomech Eng 121:361–369CrossRefPubMedGoogle Scholar
  3. 3.
    Cebral JR, Castro MA, Putman CM (2005) Numerical simulation of flow alterations after carotid artery stenting from multi-modality image data. In: Third MIT conference on computational fluid and solid mechanics, pp 607–611Google Scholar
  4. 4.
    Chan WC, Wright C, Riddell T, Wells S, Kerr AJ, Gala G, Jackson R (2008) Ethnic and socioeconomic disparities in the prevalence of cardiovascular disease in New Zealand. N Z Med J 121(1285):11–20PubMedGoogle Scholar
  5. 5.
    Charvatova Z, Ostadalova I, Zicha J, Kunes J, Maxova H, Ostadal B (2012) Cardiac tolerance to ischemia in neonatal spontaneously hypertensive rats. Physiol Res 61(Suppl. 1):S145–S153PubMedGoogle Scholar
  6. 6.
    Daghero F, Bueno N, Peirone A, Ochoa J, Torres GF, Ganame J (2008) Coarctation of the abdominal aorta an uncommon cause of arterial hypertension and stroke. Circ Cardiovasc Imaging 1:e4–e6CrossRefPubMedGoogle Scholar
  7. 7.
    Doggrell SA, Brown L (1998) Rat models of hypertension, cardiac hypertrophy and failure. Cardiovasc Res 39(1998):89–105CrossRefPubMedGoogle Scholar
  8. 8.
    Ebrahim S, Montaner D, Lawlor DA (2004) Clustering of risk factors and social class in childhood and adulthood in British women’s heart and health study: cross sectional analysis. BMJ 328(7444):861. doi: 10.1136/bmj.38034.702836.55
  9. 9.
    Gao F, Ohta O, Matsuzawa T (2008) Fluid structure interaction in layered aortic arch aneurysm model assessing the combined influence of arch aneurysm wall stiffness. Australas Phys Eng Sci Med 31:32–41CrossRefPubMedGoogle Scholar
  10. 10.
    Gerbeau J-F, Vidrascu M, Frey P (2005) Fluid–structure interaction in blood flows on geometries based on medical imaging. Comput Struct 83(2005):155–165CrossRefGoogle Scholar
  11. 11.
    Gianluca DS, Peter M, Mathieu DB, Patrick S, Pascal V, Bendict V (2010) Patient-specific computational fluid dynamics: structured mesh generation from coronary angiography. Med Biol Eng Compu 48(4):371–380CrossRefGoogle Scholar
  12. 12.
    Hedenqvist P (2008) Anaesthesia and analgesia for surgery in rabbits and rats: a comparison of the effects of different compounds. Ph.D. thesis, Karolinska Institutet, Stockolm, SwedenGoogle Scholar
  13. 13.
    Langeveld B, Roks AJ, Tio RA, VanBoven AJ, Van der Want JJ, Henning RH, Van Beusekom HM, Van der Giessen WJ, Van Gilst WH (2004) Rat abdominal aorta stenting: a new and reliable small animal model for in-stent restenosis. J Vasc Res 41:377–386CrossRefPubMedGoogle Scholar
  14. 14.
    Larsen NE, Leshchiner EA, Parent EG, Hendrikson-Aho J, Balazs EA (1991) Hylan gel composition for percutaneous embolization cardiovascular. J Biomed Mater Res 25(1991):699–710CrossRefPubMedGoogle Scholar
  15. 15.
    Marshall S, Milligan A, Yates R (1994) Experimental techniques and anaesthesia in the rat and mouse. Anzccart Fact Sheet 7(1):1–4Google Scholar
  16. 16.
    Mendis S (2005) Cardiovascular risk assessment and management in developing countries. Vasc Health Risk Manag 1(1):15–18CrossRefPubMedPubMedCentralGoogle Scholar
  17. 17.
    Nichols WW, O’Rourke MF (2011) McDonald’s blood flow in arteries. Hodder Arnold, LondonGoogle Scholar
  18. 18.
    Rentschler ME, Baxter BT (2008) Screening aortic drug treatments through arterial compliance measurements. Curr Vasc Pharmacol 6:250–257. doi: 10.2174/157016108785909751 CrossRefPubMedGoogle Scholar
  19. 19.
    Restini C, Reis R, Costa-Neto C, Garcia-Cairasco N, Cortes-de-Oliveira J, Bendhack L (2012) Role of endothelium on the abnormal Angiotensin-mediated vascular functions in epileptic rats. J Biophys Chem 3(2):174–182CrossRefGoogle Scholar
  20. 20.
    Russell JC (2003) Of mice and men, rats and atherosclerosis. Cardiovasc Res 59(2003):810–811CrossRefPubMedGoogle Scholar
  21. 21.
    Sebastia C, Quiroga S, Boye R, Perez-Lafuente M, Castella E, Alvarez-Castells A (2003) Aortic stenosis: spectrum of diseases depicted at multi-section CT. Radio Graph 23:S79–S91Google Scholar
  22. 22.
    Soudah E, Ng EY, Loong TH, Bordone M, Pua U, Narayanan S (2013) CFD modelling of abdominal aortic aneurysm on hemodynamic loads using a realistic geometry with CT. Comput Math Methods Med 2013:9, Article ID 472564Google Scholar
  23. 23.
    Still WJS, O’Neal RM (1962) Electron microscopic study of experimental atherosclerosis in the rat. Am J Pathol 40(1):21–35PubMedPubMedCentralGoogle Scholar
  24. 24.
    Tang D, Yang C, Kobayashi S, Ku DN (2001) Steady flow and wall compression in stenotic arteries: a three-dimensional thick-wall model with fluid–wall interactions. J Biomech Eng 123:548–557CrossRefPubMedGoogle Scholar
  25. 25.
    Vukicevic AM, Stepanovic NM, Jovicic GR, Apostolovic SR, Filipovic ND (2014) Computer methods for follow-up study of hemodynamic and disease progression in the stented coronary artery by fusing IVUS and X-ray angiography. Med Biol Eng Comput 52(6):539–556. doi: 10.1007/s11517-014-1155-9 CrossRefPubMedGoogle Scholar
  26. 26.
    Wronska-Nofer T, Szendzikowski S, Oberebska-Parke M (1980) Influence of chronic carbon disulphide intoxication on the development of experimental atherosclerosis in rats. Br J Ind Med 37:387–393PubMedPubMedCentralGoogle Scholar
  27. 27.
    Yannis P, Nicolas A, Ioannis S, Mohmmad IK, Georgios CB, Elena E, Andreas SA (2013) Effect of head posture on the healthy human carotid bifurcation hemodynamics. Med Biol Eng Compu 51(1–2):207–218Google Scholar

Copyright information

© International Federation for Medical and Biological Engineering 2015

Authors and Affiliations

  1. 1.Manukau Institute of TechnologyAucklandNew Zealand
  2. 2.Institute of Biomedical TechnologiesAuckland University of TechnologyAucklandNew Zealand

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