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作者机构:Materials & Engineering Research Institute Sheffield Hallam University Sheffield United Kingdom Division of Clinical Medicine School of Medicine & Population Health University of Sheffield Sheffield United Kingdom Insigneo Institute for In Silico Medicine University of Sheffield Sheffield United Kingdom Department of Computer Science University of Sheffield Sheffield United Kingdom Department of Cardiology Sheffield Teaching Hospitals NHS Foundation Trust Sheffield United Kingdom NIHR Sheffield Biomedical Research Centre Sheffield Teaching Hospitals NHS Foundation Trust Sheffield United Kingdom Trondheim Norway Department of Infection Immunity & Cardiovascular Disease Sheffield Hallam University United Kingdom
出 版 物:《SSRN》
年 卷 期:2024年
核心收录:
主 题:Sensitivity analysis
摘 要:Background: Ischaemic heart disease (IHD) results from insufficient coronary blood flow. Computational models of coronary flow allow quantification of virtual fractional flow reserve (vFFR) and absolute flow (Q), reducing the need for invasive testing in supporting the diagnosis and treatment of IHD. One-dimensional (1D) models of coronary flow provide rapid assessment of coronary physiology, but accuracy is sometimes *** and results: In the current study, we describe and derive a novel 1D model of coronary flow, derived from the Navier-Stokes equations, which pays greater attention to vital anatomical features such as vessel taper, con- vective acceleration and boundary slip. Using 15 idealised coronary arterial anatomies, based upon patient data, we compared vFFR results derived us- ing the model with a pre-existing 1D model of coronary flow. The techniques correlated for vFFR (r=0.99, p © 2024, The Authors. All rights reserved.