Assessment of endothelial shear stress in patients with mild or intermediate coronary stenoses using coronary computed tomography angiography: comparison with invasive coronary angiography

Dexiao Huang, Takashi Muramatsu, Yingguang Li, Wenjie Yang, Yasuomi Nagahara, Miao Chu, Pieter Kitslaar, Masayoshi Sarai, Yukio Ozaki, Yiannis S. Chatzizisis, Fuhua Yan, Johan H.C. Reiber, Renhua Wu, Jun Pu, Shengxian Tu

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1101-1110
Number of pages10
JournalInternational Journal of Cardiovascular Imaging
Volume33
Issue number7
DOIs
Publication statusPublished - 01-07-2017

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Coronary Stenosis
Coronary Angiography
Hydrodynamics
Coronary Artery Disease
Atherosclerosis
Pathologic Constriction
Hemodynamics
Computed Tomography Angiography

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging
  • Cardiology and Cardiovascular Medicine

Cite this

Huang, Dexiao ; Muramatsu, Takashi ; Li, Yingguang ; Yang, Wenjie ; Nagahara, Yasuomi ; Chu, Miao ; Kitslaar, Pieter ; Sarai, Masayoshi ; Ozaki, Yukio ; Chatzizisis, Yiannis S. ; Yan, Fuhua ; Reiber, Johan H.C. ; Wu, Renhua ; Pu, Jun ; Tu, Shengxian. / Assessment of endothelial shear stress in patients with mild or intermediate coronary stenoses using coronary computed tomography angiography : comparison with invasive coronary angiography. In: International Journal of Cardiovascular Imaging. 2017 ; Vol. 33, No. 7. pp. 1101-1110.
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abstract = "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.",
author = "Dexiao Huang and Takashi Muramatsu and Yingguang Li and Wenjie Yang and Yasuomi Nagahara and Miao Chu and Pieter Kitslaar and Masayoshi Sarai and Yukio Ozaki and Chatzizisis, {Yiannis S.} and Fuhua Yan and Reiber, {Johan H.C.} and Renhua Wu and Jun Pu and Shengxian Tu",
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Assessment of endothelial shear stress in patients with mild or intermediate coronary stenoses using coronary computed tomography angiography : comparison with invasive coronary angiography. / Huang, Dexiao; Muramatsu, Takashi; Li, Yingguang; Yang, Wenjie; Nagahara, Yasuomi; Chu, Miao; Kitslaar, Pieter; Sarai, Masayoshi; Ozaki, Yukio; Chatzizisis, Yiannis S.; Yan, Fuhua; Reiber, Johan H.C.; Wu, Renhua; Pu, Jun; Tu, Shengxian.

In: International Journal of Cardiovascular Imaging, Vol. 33, No. 7, 01.07.2017, p. 1101-1110.

Research output: Contribution to journalArticle

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

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.

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