Literature DB >> 26363834

Coronary Artery Axial Plaque Stress and its Relationship With Lesion Geometry: Application of Computational Fluid Dynamics to Coronary CT Angiography.

Gilwoo Choi1, Joo Myung Lee2, Hyun-Jin Kim3, Jun-Bean Park2, Sethuraman Sankaran3, Hiromasa Otake4, Joon-Hyung Doh5, Chang-Wook Nam6, Eun-Seok Shin7, Charles A Taylor8, Bon-Kwon Koo9.   

Abstract

OBJECTIVES: The purpose of this study was to characterize the hemodynamic force acting on plaque and to investigate its relationship with lesion geometry.
BACKGROUND: Coronary plaque rupture occurs when plaque stress exceeds plaque strength.
METHODS: Computational fluid dynamics was applied to 114 lesions (81 patients) from coronary computed tomography angiography. The axial plaque stress (APS) was computed by extracting the axial component of hemodynamic stress acting on stenotic lesions, and the axial lesion asymmetry was assessed by the luminal radius change over length (radius gradient [RG]). Lesions were divided into upstream-dominant (upstream RG > downstream RG) and downstream-dominant lesions (upstream RG < downstream RG) according to the RG.
RESULTS: Thirty-three lesions (28.9%) showed net retrograde axial plaque force. Upstream APS linearly increased as lesion severity increased, whereas downstream APS exhibited a concave function for lesion severity. There was a negative correlation (r = -0.274, p = 0.003) between APS and lesion length. The pressure gradient, computed tomography-derived fractional flow reserve (FFRCT), and wall shear stress were consistently higher in upstream segments, regardless of the lesion asymmetry. However, APS was higher in the upstream segment of upstream-dominant lesions (11,371.96 ± 5,575.14 dyne/cm(2) vs. 6,878.14 ± 4,319.51 dyne/cm(2), p < 0.001), and in the downstream segment of downstream-dominant lesions (7,681.12 ± 4,556.99 dyne/cm(2) vs. 11,990.55 ± 5,556.64 dyne/cm(2), p < 0.001). Although there were no differences in FFRCT, % diameter stenosis, and wall shear stress pattern, the distribution of APS was different between upstream- and downstream-dominant lesions.
CONCLUSIONS: APS uniquely characterizes the stenotic segment and has a strong relationship with lesion geometry. Clinical application of these hemodynamic and geometric indices may be helpful to assess the future risk of plaque rupture and to determine treatment strategy for patients with coronary artery disease. (Evaluation of FFR, WSS, and TPF Using CCTA; NCT01857687).
Copyright © 2015 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  axial plaque stress; computational fluid dynamics; coronary artery disease; coronary computed tomography angiography; coronary plaque; pressure; wall shear stress

Mesh:

Year:  2015        PMID: 26363834     DOI: 10.1016/j.jcmg.2015.04.024

Source DB:  PubMed          Journal:  JACC Cardiovasc Imaging        ISSN: 1876-7591


  26 in total

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Authors:  Lindsey A Davis; Samantha E Stewart; Christopher G Carsten; Bruce A Snyder; Michael A Sutton; Susan M Lessner
Journal:  Acta Biomater       Date:  2016-07-16       Impact factor: 8.947

Review 2.  Heterogeneity of Coronary Plaque Morphology and Natural History: Current Understanding and Clinical Significance.

Authors:  Marina Zaromytidou; Antonios P Antoniadis; Gerasimos Siasos; Ahmet Umit Coskun; Ioannis Andreou; Michail I Papafaklis; Michelle Lucier; Charles L Feldman; Peter H Stone
Journal:  Curr Atheroscler Rep       Date:  2016-12       Impact factor: 5.113

Review 3.  Computational Fluid Dynamics and Additive Manufacturing to Diagnose and Treat Cardiovascular Disease.

Authors:  Amanda Randles; David H Frakes; Jane A Leopold
Journal:  Trends Biotechnol       Date:  2017-09-21       Impact factor: 19.536

Review 4.  Coronary CT Angiography Derived Fractional Flow Reserve: The Game Changer in Noninvasive Testing.

Authors:  Bjarne Linde Nørgaard; Jesper Møller Jensen; Philipp Blanke; Niels Peter Sand; Mark Rabbat; Jonathon Leipsic
Journal:  Curr Cardiol Rep       Date:  2017-09-22       Impact factor: 2.931

5.  Studying the Factors of Human Carotid Atherosclerotic Plaque Rupture, by Calculating Stress/Strain in the Plaque, Based on CEUS Images: A Numerical Study.

Authors:  Zhenzhou Li; Yongfeng Wang; Xinyin Wu; Xin Liu; Shanshan Huang; Yi He; Shuyu Liu; Lijie Ren
Journal:  Front Neuroinform       Date:  2020-11-24       Impact factor: 4.081

Review 6.  Myocardial ischemia testing with computed tomography: emerging strategies.

Authors:  Prabhakar Rajiah; Christopher D Maroules
Journal:  Cardiovasc Diagn Ther       Date:  2017-10

Review 7.  Fractional flow reserve computed tomography in the evaluation of coronary artery disease.

Authors:  Shaw Hua Kueh; Matthew Boroditsky; Jonathon Leipsic
Journal:  Cardiovasc Diagn Ther       Date:  2017-10

8.  Diastolic blood pressure predicts coronary plaque volume in patients with coronary artery disease.

Authors:  Mohamad Saleh; Abdulhamied Alfaddagh; Tarec K Elajami; Hasan Ashfaque; Huzifa Haj-Ibrahim; Francine K Welty
Journal:  Atherosclerosis       Date:  2018-07-29       Impact factor: 5.162

9.  Simultaneous evaluation of plaque stability and ischemic potential of coronary lesions in a fluid-structure interaction analysis.

Authors:  Xinlei Wu; Clemens von Birgelen; Su Zhang; Daixin Ding; Jiayue Huang; Shengxian Tu
Journal:  Int J Cardiovasc Imaging       Date:  2019-05-03       Impact factor: 2.357

10.  Autophagy is required for endothelial cell alignment and atheroprotection under physiological blood flow.

Authors:  Anne-Clemence Vion; Marouane Kheloufi; Adel Hammoutene; Johanne Poisson; Juliette Lasselin; Cecile Devue; Isabelle Pic; Nicolas Dupont; Johanna Busse; Konstantin Stark; Julie Lafaurie-Janvore; Abdul I Barakat; Xavier Loyer; Michele Souyri; Benoit Viollet; Pierre Julia; Alain Tedgui; Patrice Codogno; Chantal M Boulanger; Pierre-Emmanuel Rautou
Journal:  Proc Natl Acad Sci U S A       Date:  2017-09-25       Impact factor: 11.205

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