Particle Image Velocimetry-validated, computational fluid dynamics-based design to reduce shear stress and residence time in central venous hemodialysis catheters

ASAIO Journal

Volumn 53, Issue 4, 2007, Pages 438-446

  Mareels, Guy ^a   Kaminsky, Radoslav ^a,b   Eloot, Sunny ^a   Verdonck, Pascal R ^a  

^a GHENT UNIVERSITY   (Belgium)

^b ILA GmbH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BLOOD; CATHETERS; COMPUTER SIMULATION; HEMODIALYZERS; SHEAR STRESS; STRESS CONCENTRATION; VELOCITY MEASUREMENT;

ARTERIAL LUMEN; BLOOD CLOT FORMATION; CONCENTRIC LUMENS; PARTICLE IMAGE VELOCIMETRY;

COMPUTATIONAL FLUID DYNAMICS;

ARTICLE; BLOOD FLOW; CENTRAL VENOUS CATHETER; COMPUTATIONAL FLUID DYNAMICS; EXPOSURE; HEMODIALYSIS; PARTICLE IMAGE VELOCIMETRY; SHEAR STRESS; VALIDATION STUDY;

CATHETERIZATION; CATHETERIZATION, CENTRAL VENOUS; COMPUTER SIMULATION; EQUIPMENT DESIGN; HEMORHEOLOGY; HUMANS; MODELS, CARDIOVASCULAR; RENAL DIALYSIS; STRESS, MECHANICAL; TIME FACTORS;

EID: 34547688956     PISSN: 10582916     EISSN: None     Source Type: Journal    
DOI: 10.1097/MAT.0b013e3180683b7c     Document Type: Article

References (18)

1. Pisoni RL: Vascular access use and outcomes: results from the DOPPS. Contrib Nephrol 137: 13-19, 2002.
2. Schwab SJ: Assessing the adequacy of vascular access and its relationship to patient outcome. Am J Kidney Dis 24: 316-320, 1994.
3. Mareels G, De Wachter DS, Verdonck PR: Computational fluid dynamics analysis of the Niagara hemodialysis catheter in a right heart model. Artif Organs 28: 639-648, 2004.
4. Prakash S, Ethier CR: Requirements for mesh resolution in 3D computational hemodynamics. J Biomech Eng 123: 134-144, 2001.
5. Twardowski ZJ, Seger RM: Dimensions of central venous structures in humans measured in vivo using magnetic resonance imaging: implications for central-vein catheter dimensions. Int J Artif Organs 25: 107-123, 2002.
6. Cohen ML, Cohen BS, Kronzon I, Lighty GW, Winer HE: Superior vena caval blood flow velocities in adults: a Doppler echocardiographic study. J Appl Physiol 61: 215-219, 1986.
7. Scarano F: Iterative image deformation methods in PIV. Measurements Science and Technology 13: R1-19, 2002.
8. Thévenaz P, Blu T, Unser M: Image interpolation and resampling, in Bankman IN (ed), Handbook of medical imaging, processing & analysis, San Diego, CA, Academic Press, 2000, pp. 393-420.
9. Wernet M: Symmetric phase only filtering: a new paradigm for DPV data processing. Measurements Science and Technology 16: 601-618, 2005.
10. Cockelet GC: The rheology and tube flow of blood, in Skalak R, Chien S (ed), Handbook of Bioengineering, London, McGreen Hill, 1987.
11. Hellums JD, Hardwick RA: Response of Platelets to Shear Stress: a Review, in Gross DR, Hwang NHC (eds), The Rheology of Blood Vessels and Associated Tissues, Alphen aan den Rijn, Sijthoff & Noordhoff, 1981, pp. 160-183.
12. Kroll MH, Hellums JD, McIntire LV, Schafer AI, Moake JL: Platelets and shear stress. Blood 88: 1525-1541, 1996.
13. Waniewski J, Kurowska W, Mizerski JK, et al: The effects of graft geometry on the patency of a systemic-to-pulmonary shunt: a computational fluid dynamics study. Artif Organs 29: 642-650, 2005.
14. Giersiepen M, Wurzinger LJ, Opitz R, Reul H: Estimation of shear stress-related blood damage in heart-valve prostheses: in vitro comparison of 25 aortic valves. Int J Artif Organs 13: 300-306, 1990.
15. Goubergrits L, Affeld K: Numerical estimation of blood damage in artificial organs. Artif Organs 28: 499-507, 2004.
16. Verdonck P: The role of computational fluid dynamics for artificial organ design. Artif Organs 26: 569-570, 2002.
17. Twardowski J, Moore HL: Side holes at the tip of chronic hemodialysis catheters are harmful. J Vasc Access 2: 8-16, 2001.
18. Strony J, Beaudoin A, Brands D, Adelman B: Analysis of shear stress and hemodynamic factors in a model of coronary artery stenosis and thrombosis. Am J Physiol 265: H1787-H1796, 1993.