Computational Fluid Dynamics of Liquid and Foam Sclerosant Injection in a Vein Model

Kai Chung Wong; Tony Chen; David E. Connor; Masud Behnia; Kurosh Parsi

doi:10.4028/www.scientific.net/AMM.553.293

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 553Computational Fluid Dynamics of Liquid and Foam...

Computational Fluid Dynamics of Liquid and Foam Sclerosant Injection in a Vein Model

Abstract:

The aim of this study was to develop a computational fluid dynamics (CFD) model to simulate the injection of liquid and foam sclerosants into a varicose vein. The CFD model results were compared with sclerosant flow in an experimental model of a straight or a branched vein. The effects of injection angle, injection velocity and tubing contents (blood, saline) on sclerosant spreading were assessed by CFD. The simulation of liquid sclerosants injection was able to provide a good representation of forward flow, but underrepresented sclerosant backflow. Due to the complex nature of computational modelling of foams, CFD modelling of foam sclerosants injection was less accurate and provided only limited information on foam spreading. CFD modelling can be used as a representation of liquid and foam sclerosant injection, but further research is required to provide a more accurate analysis.

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Periodical:

Applied Mechanics and Materials (Volume 553)

Pages:

293-298

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.553.293

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Online since:

May 2014

Authors:

Kai Chung Wong*, Tony Chen, David E. Connor, Masud Behnia, Kurosh Parsi

Keywords:

Computational Fluid Dynamics (CFD), Foam Injection, Liquid Injection, Varicose Vein

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References

[1] K. Parsi, T. Exner, D.E. Connor, A. Herbert, D.D. Ma, J.E. Joseph, The lytic effects of detergent sclerosants on erythrocytes, platelets, endothelial cells and microparticles are attenuated by albumin and other plasma components in vitro, Eur J Vasc Endovasc Surg, 36 (2008).

DOI: 10.1016/j.ejvs.2008.03.001

Google Scholar

[2] P. Coleridge Smith, Saphenous ablation: Sclerosant or sclerofoam?, Semin Vasc Surg, 18 (2005) 19-24.

Google Scholar

[3] J.J. Guex, Complications and side-effects of foam sclerotherapy, Phlebology, 24 (2009) 270-274.

DOI: 10.1258/phleb.2009.009049

Google Scholar

[4] K. Parsi, D.E. Connor, A. Pilotelle, J. Low, D.D.F. Ma, J.E. Joseph, Low concentration detergent sclerosants induce platelet activation but inhibit aggregation due to suppression of GPIIb/IIIa activation in vitro, Thromb Res, 130 (2012) 472-478.

DOI: 10.1016/j.thromres.2012.03.023

Google Scholar

[5] S. Petkova, A. Hossain, J. Naser, E. Palombo, in: Proceedings of the Third International Conference on CFD in the Minerals and Process Industries, CSIRO, Melbourne, 2003, pp.527-530.

Google Scholar

[6] R. Ananth, J.P. Farley, Suppression dynamics of a co-flow diffusion flame with high expression aqueous foam, J Fire Sci, 28 (2010) 181-208.

DOI: 10.1177/0734904109341030

Google Scholar

[7] K. Wong, T. Chen, D. Connor, M. Behnia, K. Parsi, Basic physiochemical and rheological properties of detergent sclerosants, Submitted to Eur J Vasc Endovasc Surg, (2013).

DOI: 10.1177/0268355514529271

Google Scholar

[8] M.I. Briceno, D.D. Joseph, Self-lubricated transport of aqueius foams in horizontal conduits, Int Journal Multiphase Flow, 29 (2003) 1817-1831.

DOI: 10.1016/j.ijmultiphaseflow.2003.10.001

Google Scholar

[9] S. Larmignat, D. Vanderpool, H.K. Lai, L. Pilon, Rheology of colloidal gas (mirofoams), Coll Surf A: Physicochemistry Engineering Aspects, 322 (2008) 199-210.

DOI: 10.1016/j.colsurfa.2008.03.010

Google Scholar

[10] S.A. Khan, C.A. Schnepper, R.C. Armstrong, Foam rheology III: Measurement of shear flow properties, J Rheology, 32 (1988) 69-92.

DOI: 10.1122/1.549964

Google Scholar

[11] R. Hohler, S. Cohen-Addad, Rheology of liquid foam, J Phys-Condens Mat, 17 (2005) R1041-R1069.

DOI: 10.1088/0953-8984/17/41/r01

Google Scholar