{"id":15043,"date":"2024-01-18T10:29:35","date_gmt":"2024-01-18T09:29:35","guid":{"rendered":"https:\/\/sano.science\/?post_type=research&p=15043"},"modified":"2024-01-18T10:29:36","modified_gmt":"2024-01-18T09:29:36","slug":"modelling-the-hemodynamics-of-coronary-ischemia","status":"publish","type":"research","link":"https:\/\/sano.science\/research\/modelling-the-hemodynamics-of-coronary-ischemia\/","title":{"rendered":"Modelling The Hemodynamics of Coronary Ischemia"},"content":{"rendered":"\n

Baraikan, Abdulaziz Al, Krzysztof Czechowicz, Paul D. Morris, Ian Halliday, Rebecca C. Gosling, Julian P. Gunn, Andrew J. Narracott, Gareth Williams, Pankaj Garg, Maciej Malawski, and et al.\u00a0<\/h2>\n\n\n\n
<\/div>\n\n\n\n

Acting upon clinical patient data, acquired in the pathway of percutaneous intervention, we deploy hierarchical, multi-stage, data-handling protocols and interacting low- and high-order mathematical models (chamber elastance, state-space system and CFD models), to establish and then validate a framework to quantify the burden of ischaemia. Our core tool is a compartmental, zero-dimensional model of the coupled circulation with four heart chambers, systemic and pulmonary circulations and an optimally adapted windkessel model of the coronary arteries that reflects the diastolic dominance of coronary flow. We guide the parallel development of protocols and models by appealing to foundational physiological principles of cardiac energetics and a parameterisation (stenotic Bernoulli resistance and micro-vascular resistance) of patients\u2019 coronary flow. We validate our process first with results which substantiate our protocols and, second, we demonstrate good correspondence between model operation and patient data. We conclude that our core model is capable of representing (patho)physiological states and discuss how it can potentially be deployed, on clinical data, to provide a quantitative assessment of the impact, on the individual, of coronary artery disease.<\/p>\n\n\n\n

<\/div>\n\n\n\n\t\n \n \n\t\t\t\n\n\t\t\t\t\n\t\t\t\t\tREAD HERE\n\t\t\t\t<\/span>\n\n\t\t\t<\/a>\n\n \n \n","protected":false},"excerpt":{"rendered":"

In: Fluids 8, 2023.<\/p>\n","protected":false},"featured_media":0,"template":"","research_type":[8],"research_team":[],"class_list":["post-15043","research","type-research","status-publish","hentry","research_type-publications"],"yoast_head":"\nModelling The Hemodynamics of Coronary Ischemia - Centre for Computational Personalized Medicine<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sano.science\/research\/modelling-the-hemodynamics-of-coronary-ischemia\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Modelling The Hemodynamics of Coronary Ischemia\" \/>\n<meta property=\"og:description\" content=\"In: Fluids 8, 2023.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sano.science\/research\/modelling-the-hemodynamics-of-coronary-ischemia\/\" \/>\n<meta property=\"og:site_name\" content=\"Centre for Computational Personalized Medicine\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/sano.science\/\" \/>\n<meta property=\"article:modified_time\" content=\"2024-01-18T09:29:36+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@sanoscience\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/sano.science\\\/research\\\/modelling-the-hemodynamics-of-coronary-ischemia\\\/\",\"url\":\"https:\\\/\\\/sano.science\\\/research\\\/modelling-the-hemodynamics-of-coronary-ischemia\\\/\",\"name\":\"Modelling The Hemodynamics of Coronary Ischemia - 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Narracott, Gareth Williams, Pankaj Garg, Maciej Malawski, and et al.\u00a0<\/h2>\n"]},{"blockName":"core\/spacer","attrs":{"height":"50px","epAnimationGeneratedClass":"edplus_anim-wzgJxw","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-HpSvrf","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Acting upon clinical patient data, acquired in the pathway of percutaneous intervention, we deploy hierarchical, multi-stage, data-handling protocols and interacting low- and high-order mathematical models (chamber elastance, state-space system and CFD models), to establish and then validate a framework to quantify the burden of ischaemia. 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We guide the parallel development of protocols and models by appealing to foundational physiological principles of cardiac energetics and a parameterisation (stenotic Bernoulli resistance and micro-vascular resistance) of patients\u2019 coronary flow. We validate our process first with results which substantiate our protocols and, second, we demonstrate good correspondence between model operation and patient data. 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