Pathologic shear and lesion morphology in human coronary arteries

A. Javadzadegan, A. Moshfegh, J. Lau, C. Wong, M. Ng, Y. Qian, L. Kritharides, A. Yong

Research output: Contribution to journalMeeting abstractResearchpeer-review

Abstract

Introduction: Although individual effects of lesion characteristics—including stenosis severity, eccentricity and lesion length—on coronary haemodynamics is known, their relative importance and whether they interact remains poorly understood. This study aimed to address this. Methods: Computational fluid dynamics simulations were performed in three-dimensional (3D) models of 104 coronary arteries reconstructed from 3D quantitative coronary angiography. Shear stress at the site of maximal stenosis and size of poststenotic areas with low shear stress (<1 Pa) were quantified. Results: With increasing stenosis severity, peak shear increased in a mono-exponential manner (Figure 1, first row), whereas size of low shear areas demonstrated a threshold effect, with a steep increase when diameter stenosis was > 40% and subsequently followed a sigmoidal curve (Figure 1, second row). Two-way ANCOVA analysis revealed that stenosis severity and lesion length were both independent predictors of peak shear and size of low shear areas. Conclusion: This study showed that stenosis severity and lesion length are independent predictors of pathogenic physiological processes, whereas lesion eccentricity is not.

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Coronary Vessels
Pathologic Constriction
Physiological Phenomena
Hydrodynamics
Coronary Angiography
Hemodynamics

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Javadzadegan, A. ; Moshfegh, A. ; Lau, J. ; Wong, C. ; Ng, M. ; Qian, Y. ; Kritharides, L. ; Yong, A. / Pathologic shear and lesion morphology in human coronary arteries. In: Heart, lung and circulation. 2018 ; Vol. 27, No. Supplement 2. pp. S334.
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title = "Pathologic shear and lesion morphology in human coronary arteries",
abstract = "Introduction: Although individual effects of lesion characteristics—including stenosis severity, eccentricity and lesion length—on coronary haemodynamics is known, their relative importance and whether they interact remains poorly understood. This study aimed to address this. Methods: Computational fluid dynamics simulations were performed in three-dimensional (3D) models of 104 coronary arteries reconstructed from 3D quantitative coronary angiography. Shear stress at the site of maximal stenosis and size of poststenotic areas with low shear stress (<1 Pa) were quantified. Results: With increasing stenosis severity, peak shear increased in a mono-exponential manner (Figure 1, first row), whereas size of low shear areas demonstrated a threshold effect, with a steep increase when diameter stenosis was > 40{\%} and subsequently followed a sigmoidal curve (Figure 1, second row). Two-way ANCOVA analysis revealed that stenosis severity and lesion length were both independent predictors of peak shear and size of low shear areas. Conclusion: This study showed that stenosis severity and lesion length are independent predictors of pathogenic physiological processes, whereas lesion eccentricity is not.",
author = "A. Javadzadegan and A. Moshfegh and J. Lau and C. Wong and M. Ng and Y. Qian and L. Kritharides and A. Yong",
year = "2018",
doi = "10.1016/j.hlc.2018.06.648",
language = "English",
volume = "27",
pages = "S334",
journal = "Heart, lung and circulation",
issn = "1443-9506",
publisher = "Elsevier",
number = "Supplement 2",

}

Javadzadegan, A, Moshfegh, A, Lau, J, Wong, C, Ng, M, Qian, Y, Kritharides, L & Yong, A 2018, 'Pathologic shear and lesion morphology in human coronary arteries', Heart, lung and circulation, vol. 27, no. Supplement 2, 0646, pp. S334. https://doi.org/10.1016/j.hlc.2018.06.648

Pathologic shear and lesion morphology in human coronary arteries. / Javadzadegan, A.; Moshfegh, A.; Lau, J.; Wong, C.; Ng, M.; Qian, Y.; Kritharides, L.; Yong, A.

In: Heart, lung and circulation, Vol. 27, No. Supplement 2, 0646, 2018, p. S334.

Research output: Contribution to journalMeeting abstractResearchpeer-review

TY - JOUR

T1 - Pathologic shear and lesion morphology in human coronary arteries

AU - Javadzadegan, A.

AU - Moshfegh, A.

AU - Lau, J.

AU - Wong, C.

AU - Ng, M.

AU - Qian, Y.

AU - Kritharides, L.

AU - Yong, A.

PY - 2018

Y1 - 2018

N2 - Introduction: Although individual effects of lesion characteristics—including stenosis severity, eccentricity and lesion length—on coronary haemodynamics is known, their relative importance and whether they interact remains poorly understood. This study aimed to address this. Methods: Computational fluid dynamics simulations were performed in three-dimensional (3D) models of 104 coronary arteries reconstructed from 3D quantitative coronary angiography. Shear stress at the site of maximal stenosis and size of poststenotic areas with low shear stress (<1 Pa) were quantified. Results: With increasing stenosis severity, peak shear increased in a mono-exponential manner (Figure 1, first row), whereas size of low shear areas demonstrated a threshold effect, with a steep increase when diameter stenosis was > 40% and subsequently followed a sigmoidal curve (Figure 1, second row). Two-way ANCOVA analysis revealed that stenosis severity and lesion length were both independent predictors of peak shear and size of low shear areas. Conclusion: This study showed that stenosis severity and lesion length are independent predictors of pathogenic physiological processes, whereas lesion eccentricity is not.

AB - Introduction: Although individual effects of lesion characteristics—including stenosis severity, eccentricity and lesion length—on coronary haemodynamics is known, their relative importance and whether they interact remains poorly understood. This study aimed to address this. Methods: Computational fluid dynamics simulations were performed in three-dimensional (3D) models of 104 coronary arteries reconstructed from 3D quantitative coronary angiography. Shear stress at the site of maximal stenosis and size of poststenotic areas with low shear stress (<1 Pa) were quantified. Results: With increasing stenosis severity, peak shear increased in a mono-exponential manner (Figure 1, first row), whereas size of low shear areas demonstrated a threshold effect, with a steep increase when diameter stenosis was > 40% and subsequently followed a sigmoidal curve (Figure 1, second row). Two-way ANCOVA analysis revealed that stenosis severity and lesion length were both independent predictors of peak shear and size of low shear areas. Conclusion: This study showed that stenosis severity and lesion length are independent predictors of pathogenic physiological processes, whereas lesion eccentricity is not.

U2 - 10.1016/j.hlc.2018.06.648

DO - 10.1016/j.hlc.2018.06.648

M3 - Meeting abstract

VL - 27

SP - S334

JO - Heart, lung and circulation

T2 - Heart, lung and circulation

JF - Heart, lung and circulation

SN - 1443-9506

IS - Supplement 2

M1 - 0646

ER -