Spatial Distribution of Wall Shear Stress in Common Carotid Artery by Color Doppler Flow Imaging

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The purpose of this study is to provide a novel approach for measuring the spatial distribution of wall shear stress (WSS) in common carotid artery in vivo. WSS distributions were determined by digital image processing from color Doppler flow imaging (CDFI) in 50 healthy volunteers. In order to evaluate the feasibility of the spatial distribution, the mean values of WSS distribution were compared to the results of conventional WSS calculating method (Hagen–Poiseuille formula). In our study, the mean value of WSS distribution from 50 healthy volunteers was (6.91 ± 1.20) dyne/cm2, while it was (7.13 ± 1.24) dyne/cm2 by Hagen–Poiseuille approach. The difference was not statistically significant (t = −0.864, p = 0.604). Hence, the feasibility of the spatial distribution of WSS was proved. Moreover, this novel approach could provide three-dimensional distribution of shear stress and fusion image of shear stress with ultrasonic image for each volunteer, which made WSS “visible”. In conclusion, the spatial distribution of WSS could be used for WSS calculation in vivo. Moreover, it could provide more detailed values of WSS distribution than those of Hagen–Poiseuille formula.

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  1. 1.

    Busse R, Fleming I: Pulsatile stretch and shear stress: physical stimuli determining the production of endothelium-derived relaxing factors. J Vasc Res 35:73–84, 1998

  2. 2.

    Koller A, Kaley G: Shear stress dependent regulation of vascular resistance in health and disease: role of endothelium. Endothelium 4:247–272, 1996

  3. 3.

    Reneman RS, Arts T, Hoeks AP: Wall shear stress– an important determinant of endothelial cell function and structure–in the arterial system in vivo. Discrepancies with theory. J Vasc Res 43:251–269, 2006

  4. 4.

    Efstathopoulos EP, Patatoukas G, Pantos I, Benekos O, Katritsis D, Kelekis NL: Measurement of systolic and diastolic arterial wall shear stress in the ascending aorta. Phys Med 24:196–203, 2008

  5. 5.

    Gnasso A, Carallo C, Irace C, Spagnuolo V, De Novara G, Mattioli PL, Pujia A: Association between intima-media thickness and wall shear stress in common carotid arteries in healthy male subjects. Circulation 94:3257–3262, 1996

  6. 6.

    Oshinski JN, Curtin JL, Loth F: Mean-average wall shear stress measurements in the common carotid artery. J Cardiovasc Magn Reson 8:717–722, 2006

  7. 7.

    Milnor W: Hemodynamics. Williams & Wilkins, Philadelphia, 1982

  8. 8.

    Nichols W, O'Rourke M: McDonald's blood flow in arteries: Theoretical, experimental and clinical principles. Hodder Arnold, London, 2005

  9. 9.

    Shames IH: Mechanics of fluids. McGraw-Hill, Boston, 2003

  10. 10.

    Reneman RS, Vink H, Hoeks A: Wall shear stress revisited. Artery Res 3:73–78, 2009

  11. 11.

    Chien S, Li S, Shyy YJ: Effects of mechanical forces on signal transduction and gene expression in endothelial cells. Hypertension 31:162–169, 1998

  12. 12.

    Irace C, Carallo C, Crescenzo A, Motti C, De Franceschi MS, Mattioli PL, Gnasso A: NIDDM is associated with lower wall shear stress of the common carotid artery. Diabetes 48:193–197, 1999

  13. 13.

    Brands PJ, Hoeks AP, Hofstra L, Reneman RS: A noninvasive method to estimate wall shear rate using ultrasound. Ultrasound Med Biol 21:171–185, 1995

  14. 14.

    Blake JR, Meagher S, Fraser KH, Easson WJ, Hoskins PR: A method to estimate wall shear rate with a clinical ultrasound scanner. Ultrasound Med Biol 34:760–770, 2008

  15. 15.

    Fukumoto Y, Hiro T, Fujii T, Hashimoto G, Fujimura T, Yamada J, Okamura T, Matsuzaki M: Localized elevation of shear stress is related to coronary plaque rupture: a 3-dimensional intravascular ultrasound study with in-vivo color mapping of shear stress distribution. J Am Coll Cardiol 51:645–650, 2008

  16. 16.

    Wellnhofer E, Goubergrits L, Kertzscher U, Affeld K, Fleck E: Novel non-dimensional approach to comparison of wall shear stress distributions in coronary arteries of different groups of patients. Atherosclerosis 202:483–490, 2009

  17. 17.

    Katritsis D, Kaiktsis L, Chaniotis A, Pantos J, Efstathopoulos EP, Marmarelis V: Wall shear stress: theoretical considerations and methods of measurement. Prog Cardiovasc Dis 49:307–329, 2007

  18. 18.

    Oyre S, Pedersen EM, Ringgaard S, Boesiger P, Paaske WP: In vivo wall shear stress measured by magnetic resonance velocity mapping in the normal human abdominal aorta. Eur J Vasc Endovasc Surg 13:263–271, 1997

  19. 19.

    Oyre S, Paaske WP, Ringgaard S, Kozerke S, Erlandsen M, Boesiger P, Pedersen EM: Automatic accurate noninvasive quantitation of blood flow, cross-sectional vessel area, and wall shear stress by modelling of magnetic resonance velocity data. Eur J Vasc Endovasc Surg 16:517–524, 1998

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The study was financed by the fund of scientific and technological development in Pudong New District of Shanghai, China (no. PKJ2010-Y16) and the fund for cardiovascular diseases in Pudong New District of Shanghai, China (No. PWZxkq).

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Correspondence to Ming Chen.

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Wang, C., Chen, M., Liu, S. et al. Spatial Distribution of Wall Shear Stress in Common Carotid Artery by Color Doppler Flow Imaging. J Digit Imaging 26, 466–471 (2013).

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  • Atherosclerosis
  • Common carotid artery
  • Wall shear stress
  • Color Doppler flow imaging