@article{2719fb5e0f3c4b5db5e69d2b383343ee,
title = "Considering the Influence of Coronary Motion on Artery-Specific Biomechanics Using Fluid–Structure Interaction Simulation",
abstract = "The endothelium in the coronary arteries is subject to wall shear stress and vessel wall strain, which influences the biology of the arterial wall. This study presents vessel-specific fluid–structure interaction (FSI) models of three coronary arteries, using directly measured experimental geometries and boundary conditions. FSI models are used to provide a more physiologically complete representation of vessel biomechanics, and have been extended to include coronary bending to investigate its effect on shear and strain. FSI both without- and with-bending resulted in significant changes in all computed shear stress metrics compared to CFD (p = 0.0001). Inclusion of bending within the FSI model produced highly significant changes in Time Averaged Wall Shear Stress (TAWSS) + 9.8% LAD, + 8.8% LCx, − 2.0% RCA; Oscillatory Shear Index (OSI) + 208% LAD, 0% LCx, + 2600% RCA; and transverse wall Shear Stress (tSS) + 180% LAD, + 150% LCx and + 200% RCA (all p < 0.0001). Vessel wall strain was homogenous in all directions without-bending but became highly anisotropic under bending. Changes in median cyclic strain magnitude were seen for all three vessels in every direction. Changes shown in the magnitude and distribution of shear stress and wall strain suggest that bending should be considered on a vessel-specific basis in analyses of coronary artery biomechanics.",
keywords = "Computational fluid dynamics, Coronary bending, Coronary biomechanics, Endothelial strain, Shear stress",
author = "Fogell, {Nicholas A. T.} and Miten Patel and Pan Yang and Ruis, {Roosje M.} and Garcia, {David B.} and Jarka Naser and Fotios Savvopoulos and {Davies Taylor}, Clint and Post, {Anouk L.} and Pedrigi, {Ryan M.} and {de Silva}, Ranil and Rob Krams",
note = "Funding Information: The authors acknowledge use of the Imperial College High Performance Computing Service, without which this research would not have been possible. We gratefully acknowledge the technical support of staff from the Royal Brompton and Harefield Hospitals (Rogelio Benson, Yurii Deminskyi, Vasili Krylossov, Paul Sciberras), and the staff at the Griffin Institute to complete the experiments which underpinned this work. We are grateful to Winston Banya for providing statistics advice. This work is supported by the British Heart Foundation Special Project Grant SP/17/1/32702 and Medical Research Council grant MR/R502352/1. Funding Information: The authors acknowledge use of the Imperial College High Performance Computing Service, without which this research would not have been possible. We gratefully acknowledge the technical support of staff from the Royal Brompton and Harefield Hospitals (Rogelio Benson, Yurii Deminskyi, Vasili Krylossov, Paul Sciberras), and the staff at the Griffin Institute to complete the experiments which underpinned this work. We are grateful to Winston Banya for providing statistics advice. This work is supported by the British Heart Foundation Special Project Grant SP/17/1/32702 and Medical Research Council grant MR/R502352/1. Publisher Copyright: {\textcopyright} 2023, The Author(s).",
year = "2023",
month = sep,
day = "1",
doi = "https://doi.org/10.1007/s10439-023-03214-0",
language = "English",
volume = "51",
pages = "1950--1964",
journal = "Annals of biomedical engineering",
issn = "0090-6964",
publisher = "Springer Netherlands",
number = "9",
}