TY - JOUR
T1 - Assessment of endothelial shear stress in patients with mild or intermediate coronary stenoses using coronary computed tomography angiography
T2 - comparison with invasive coronary angiography
AU - Huang, Dexiao
AU - Muramatsu, Takashi
AU - Li, Yingguang
AU - Yang, Wenjie
AU - Nagahara, Yasuomi
AU - Chu, Miao
AU - Kitslaar, Pieter
AU - Sarai, Masayoshi
AU - Ozaki, Yukio
AU - Chatzizisis, Yiannis S.
AU - Yan, Fuhua
AU - Reiber, Johan H.C.
AU - Wu, Renhua
AU - Pu, Jun
AU - Tu, Shengxian
N1 - Publisher Copyright:
© 2016, Springer Science+Business Media Dordrecht.
PY - 2017/7/1
Y1 - 2017/7/1
N2 - Characterization of endothelial shear stress (ESS) may allow for prediction of the progression of atherosclerosis. The aim of this investigation was to develop a non-invasive approach for in vivo assessment of ESS by coronary computed tomography angiography (CTA) and to compare it with ESS derived from invasive coronary angiography (ICA). A total of 41 patients with mild or intermediate coronary stenoses who underwent both CTA and ICA were included in the analysis. Two geometrical models of the interrogated vessels were reconstructed separately from CTA and ICA images. Subsequently, computational fluid dynamics were applied to calculate the ESS, from which ESSCTA and ESSICA were derived, respectively. Comparisons between ESSCTA and ESSICA were performed on 163 segments of 57 vessels in the CTA and ICA models. ESSCTA and ESSICA were similar: mean ESS: 4.97 (4.37–5.57) Pascal versus 4.86 (4.27–5.44) Pascal, p = 0.58; minimal ESS: 0.86 (0.67–1.05) Pascal versus 0.79 (0.63–0.95) Pascal, p = 0.37; and maximal ESS: 14.50 (12.62–16.38) Pascal versus 13.76 (11.44–16.08) Pascal, p = 0.44. Good correlations between the ESSCTA and the ESSICA were observed for the mean (r = 0.75, p < 0.001), minimal (r = 0.61, p < 0.001), and maximal (r = 0.62, p < 0.001) ESS values. In conclusion, geometrical reconstruction by CTA yields similar results to ICA in terms of segment-based ESS calculation in patients with low and intermediate stenoses. Thus, it has the potential of allowing combined local hemodynamic and plaque morphologic information for risk stratification in patients with coronary artery disease.
AB - Characterization of endothelial shear stress (ESS) may allow for prediction of the progression of atherosclerosis. The aim of this investigation was to develop a non-invasive approach for in vivo assessment of ESS by coronary computed tomography angiography (CTA) and to compare it with ESS derived from invasive coronary angiography (ICA). A total of 41 patients with mild or intermediate coronary stenoses who underwent both CTA and ICA were included in the analysis. Two geometrical models of the interrogated vessels were reconstructed separately from CTA and ICA images. Subsequently, computational fluid dynamics were applied to calculate the ESS, from which ESSCTA and ESSICA were derived, respectively. Comparisons between ESSCTA and ESSICA were performed on 163 segments of 57 vessels in the CTA and ICA models. ESSCTA and ESSICA were similar: mean ESS: 4.97 (4.37–5.57) Pascal versus 4.86 (4.27–5.44) Pascal, p = 0.58; minimal ESS: 0.86 (0.67–1.05) Pascal versus 0.79 (0.63–0.95) Pascal, p = 0.37; and maximal ESS: 14.50 (12.62–16.38) Pascal versus 13.76 (11.44–16.08) Pascal, p = 0.44. Good correlations between the ESSCTA and the ESSICA were observed for the mean (r = 0.75, p < 0.001), minimal (r = 0.61, p < 0.001), and maximal (r = 0.62, p < 0.001) ESS values. In conclusion, geometrical reconstruction by CTA yields similar results to ICA in terms of segment-based ESS calculation in patients with low and intermediate stenoses. Thus, it has the potential of allowing combined local hemodynamic and plaque morphologic information for risk stratification in patients with coronary artery disease.
KW - Computational fluid dynamics
KW - Coronary computed tomography angiography
KW - Endothelial shear stress
KW - Invasive coronary angiography
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U2 - 10.1007/s10554-016-1003-0
DO - 10.1007/s10554-016-1003-0
M3 - Article
C2 - 27796815
AN - SCOPUS:84992691664
SN - 1569-5794
VL - 33
SP - 1101
EP - 1110
JO - International Journal of Cardiovascular Imaging
JF - International Journal of Cardiovascular Imaging
IS - 7
ER -