Validation of a novel numerical model to predict regionalized blood flow in the coronary arteries
Abstract Aims Ischaemic heart disease results from insufficient coronary blood flow. Direct measurement of absolute flow (mL/min) is feasible, but has not entered routine clinical practice in most catheterization laboratories. Interventional cardiologists, therefore, rely on surrogate markers of flo...
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Veröffentlicht in: | European heart journal. Digital health 2023-03, Vol.4 (2), p.81-89 |
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creator | Taylor, Daniel J Feher, Jeroen Czechowicz, Krzysztof Halliday, Ian Hose, D R Gosling, Rebecca Aubiniere-Robb, Louise van’t Veer, Marcel Keulards, Danielle C J Tonino, Pim Rochette, Michel Gunn, Julian P Morris, Paul D |
description | Abstract
Aims
Ischaemic heart disease results from insufficient coronary blood flow. Direct measurement of absolute flow (mL/min) is feasible, but has not entered routine clinical practice in most catheterization laboratories. Interventional cardiologists, therefore, rely on surrogate markers of flow. Recently, we described a computational fluid dynamics (CFD) method for predicting flow that differentiates inlet, side branch, and outlet flows during angiography. In the current study, we evaluate a new method that regionalizes flow along the length of the artery.
Methods and results
Three-dimensional coronary anatomy was reconstructed from angiograms from 20 patients with chronic coronary syndrome. All flows were computed using CFD by applying the pressure gradient to the reconstructed geometry. Side branch flow was modelled as a porous wall boundary. Side branch flow magnitude was based on morphometric scaling laws with two models: a homogeneous model with flow loss along the entire arterial length; and a regionalized model with flow proportional to local taper. Flow results were validated against invasive measurements of flow by continuous infusion thermodilution (Coroventis™, Abbott). Both methods quantified flow relative to the invasive measures: homogeneous (r 0.47, P 0.006; zero bias; 95% CI −168 to +168 mL/min); regionalized method (r 0.43, P 0.013; zero bias; 95% CI −175 to +175 mL/min).
Conclusion
During angiography and pressure wire assessment, coronary flow can now be regionalized and differentiated at the inlet, outlet, and side branches. The effect of epicardial disease on agreement suggests the model may be best targeted at cases with a stenosis close to side branches.
Graphical Abstract
Graphical Abstract |
doi_str_mv | 10.1093/ehjdh/ztac077 |
format | Article |
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Aims
Ischaemic heart disease results from insufficient coronary blood flow. Direct measurement of absolute flow (mL/min) is feasible, but has not entered routine clinical practice in most catheterization laboratories. Interventional cardiologists, therefore, rely on surrogate markers of flow. Recently, we described a computational fluid dynamics (CFD) method for predicting flow that differentiates inlet, side branch, and outlet flows during angiography. In the current study, we evaluate a new method that regionalizes flow along the length of the artery.
Methods and results
Three-dimensional coronary anatomy was reconstructed from angiograms from 20 patients with chronic coronary syndrome. All flows were computed using CFD by applying the pressure gradient to the reconstructed geometry. Side branch flow was modelled as a porous wall boundary. Side branch flow magnitude was based on morphometric scaling laws with two models: a homogeneous model with flow loss along the entire arterial length; and a regionalized model with flow proportional to local taper. Flow results were validated against invasive measurements of flow by continuous infusion thermodilution (Coroventis™, Abbott). Both methods quantified flow relative to the invasive measures: homogeneous (r 0.47, P 0.006; zero bias; 95% CI −168 to +168 mL/min); regionalized method (r 0.43, P 0.013; zero bias; 95% CI −175 to +175 mL/min).
Conclusion
During angiography and pressure wire assessment, coronary flow can now be regionalized and differentiated at the inlet, outlet, and side branches. The effect of epicardial disease on agreement suggests the model may be best targeted at cases with a stenosis close to side branches.
Graphical Abstract
Graphical Abstract</description><identifier>ISSN: 2634-3916</identifier><identifier>EISSN: 2634-3916</identifier><identifier>DOI: 10.1093/ehjdh/ztac077</identifier><identifier>PMID: 36974271</identifier><language>eng</language><publisher>US: Oxford University Press</publisher><subject>Original</subject><ispartof>European heart journal. Digital health, 2023-03, Vol.4 (2), p.81-89</ispartof><rights>The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology. 2023</rights><rights>The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c421t-8f630cc356a063fda2e22370f145b155fe86a5f8fbdc08ad4cda819e619af6a43</citedby><cites>FETCH-LOGICAL-c421t-8f630cc356a063fda2e22370f145b155fe86a5f8fbdc08ad4cda819e619af6a43</cites><orcidid>0000-0002-3270-6708 ; 0000-0002-0605-8591 ; 0000-0001-7465-3563</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10039427/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10039427/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,1598,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36974271$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Taylor, Daniel J</creatorcontrib><creatorcontrib>Feher, Jeroen</creatorcontrib><creatorcontrib>Czechowicz, Krzysztof</creatorcontrib><creatorcontrib>Halliday, Ian</creatorcontrib><creatorcontrib>Hose, D R</creatorcontrib><creatorcontrib>Gosling, Rebecca</creatorcontrib><creatorcontrib>Aubiniere-Robb, Louise</creatorcontrib><creatorcontrib>van’t Veer, Marcel</creatorcontrib><creatorcontrib>Keulards, Danielle C J</creatorcontrib><creatorcontrib>Tonino, Pim</creatorcontrib><creatorcontrib>Rochette, Michel</creatorcontrib><creatorcontrib>Gunn, Julian P</creatorcontrib><creatorcontrib>Morris, Paul D</creatorcontrib><title>Validation of a novel numerical model to predict regionalized blood flow in the coronary arteries</title><title>European heart journal. Digital health</title><addtitle>Eur Heart J Digit Health</addtitle><description>Abstract
Aims
Ischaemic heart disease results from insufficient coronary blood flow. Direct measurement of absolute flow (mL/min) is feasible, but has not entered routine clinical practice in most catheterization laboratories. Interventional cardiologists, therefore, rely on surrogate markers of flow. Recently, we described a computational fluid dynamics (CFD) method for predicting flow that differentiates inlet, side branch, and outlet flows during angiography. In the current study, we evaluate a new method that regionalizes flow along the length of the artery.
Methods and results
Three-dimensional coronary anatomy was reconstructed from angiograms from 20 patients with chronic coronary syndrome. All flows were computed using CFD by applying the pressure gradient to the reconstructed geometry. Side branch flow was modelled as a porous wall boundary. Side branch flow magnitude was based on morphometric scaling laws with two models: a homogeneous model with flow loss along the entire arterial length; and a regionalized model with flow proportional to local taper. Flow results were validated against invasive measurements of flow by continuous infusion thermodilution (Coroventis™, Abbott). Both methods quantified flow relative to the invasive measures: homogeneous (r 0.47, P 0.006; zero bias; 95% CI −168 to +168 mL/min); regionalized method (r 0.43, P 0.013; zero bias; 95% CI −175 to +175 mL/min).
Conclusion
During angiography and pressure wire assessment, coronary flow can now be regionalized and differentiated at the inlet, outlet, and side branches. The effect of epicardial disease on agreement suggests the model may be best targeted at cases with a stenosis close to side branches.
Graphical Abstract
Graphical Abstract</description><subject>Original</subject><issn>2634-3916</issn><issn>2634-3916</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>TOX</sourceid><recordid>eNqFkTtPHTEQha0oKCCgTBu5TLPgx653t0IIERIJiQbSWnPtMdfIu76xvUTw62PCDY8qlceaM98ZzSHkM2dHnI3yGNd3dn38WMCwvv9A9oSSbSNHrj6-qXfJYc53jDHRcSmZ-ER2pRr7VvR8j8BPCN5C8XGm0VGgc7zHQOdlwuQNBDpFW_8l0k1C602hCW-ruE49oqWrEKOlLsTf1M-0rJGamGo3PVBIpSIwH5AdByHj4fbdJzffzq_PvjeXVxc_zk4vG9MKXprBKcmMkZ0CpqSzIFAI2TPH227Fu87hoKBzg1tZwwawrbEw8BEVH8EpaOU-OXnmbpbVhNbgXBIEvUl-quvoCF6_78x-rW_jveaMybFeoxK-bgkp_lowFz35bDAEmDEuWYt-FB1Ton0ya56lJsWcE7oXH870UzT6bzR6G03Vf3m73Iv6XxCv3nHZ_If1B2prnHs</recordid><startdate>20230301</startdate><enddate>20230301</enddate><creator>Taylor, Daniel J</creator><creator>Feher, Jeroen</creator><creator>Czechowicz, Krzysztof</creator><creator>Halliday, Ian</creator><creator>Hose, D R</creator><creator>Gosling, Rebecca</creator><creator>Aubiniere-Robb, Louise</creator><creator>van’t Veer, Marcel</creator><creator>Keulards, Danielle C J</creator><creator>Tonino, Pim</creator><creator>Rochette, Michel</creator><creator>Gunn, Julian P</creator><creator>Morris, Paul D</creator><general>Oxford University Press</general><scope>TOX</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-3270-6708</orcidid><orcidid>https://orcid.org/0000-0002-0605-8591</orcidid><orcidid>https://orcid.org/0000-0001-7465-3563</orcidid></search><sort><creationdate>20230301</creationdate><title>Validation of a novel numerical model to predict regionalized blood flow in the coronary arteries</title><author>Taylor, Daniel J ; Feher, Jeroen ; Czechowicz, Krzysztof ; Halliday, Ian ; Hose, D R ; Gosling, Rebecca ; Aubiniere-Robb, Louise ; van’t Veer, Marcel ; Keulards, Danielle C J ; Tonino, Pim ; Rochette, Michel ; Gunn, Julian P ; Morris, Paul D</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c421t-8f630cc356a063fda2e22370f145b155fe86a5f8fbdc08ad4cda819e619af6a43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Original</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Taylor, Daniel J</creatorcontrib><creatorcontrib>Feher, Jeroen</creatorcontrib><creatorcontrib>Czechowicz, Krzysztof</creatorcontrib><creatorcontrib>Halliday, Ian</creatorcontrib><creatorcontrib>Hose, D R</creatorcontrib><creatorcontrib>Gosling, Rebecca</creatorcontrib><creatorcontrib>Aubiniere-Robb, Louise</creatorcontrib><creatorcontrib>van’t Veer, Marcel</creatorcontrib><creatorcontrib>Keulards, Danielle C J</creatorcontrib><creatorcontrib>Tonino, Pim</creatorcontrib><creatorcontrib>Rochette, Michel</creatorcontrib><creatorcontrib>Gunn, Julian P</creatorcontrib><creatorcontrib>Morris, Paul D</creatorcontrib><collection>Oxford Journals Open Access Collection</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>European heart journal. Digital health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Taylor, Daniel J</au><au>Feher, Jeroen</au><au>Czechowicz, Krzysztof</au><au>Halliday, Ian</au><au>Hose, D R</au><au>Gosling, Rebecca</au><au>Aubiniere-Robb, Louise</au><au>van’t Veer, Marcel</au><au>Keulards, Danielle C J</au><au>Tonino, Pim</au><au>Rochette, Michel</au><au>Gunn, Julian P</au><au>Morris, Paul D</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Validation of a novel numerical model to predict regionalized blood flow in the coronary arteries</atitle><jtitle>European heart journal. Digital health</jtitle><addtitle>Eur Heart J Digit Health</addtitle><date>2023-03-01</date><risdate>2023</risdate><volume>4</volume><issue>2</issue><spage>81</spage><epage>89</epage><pages>81-89</pages><issn>2634-3916</issn><eissn>2634-3916</eissn><abstract>Abstract
Aims
Ischaemic heart disease results from insufficient coronary blood flow. Direct measurement of absolute flow (mL/min) is feasible, but has not entered routine clinical practice in most catheterization laboratories. Interventional cardiologists, therefore, rely on surrogate markers of flow. Recently, we described a computational fluid dynamics (CFD) method for predicting flow that differentiates inlet, side branch, and outlet flows during angiography. In the current study, we evaluate a new method that regionalizes flow along the length of the artery.
Methods and results
Three-dimensional coronary anatomy was reconstructed from angiograms from 20 patients with chronic coronary syndrome. All flows were computed using CFD by applying the pressure gradient to the reconstructed geometry. Side branch flow was modelled as a porous wall boundary. Side branch flow magnitude was based on morphometric scaling laws with two models: a homogeneous model with flow loss along the entire arterial length; and a regionalized model with flow proportional to local taper. Flow results were validated against invasive measurements of flow by continuous infusion thermodilution (Coroventis™, Abbott). Both methods quantified flow relative to the invasive measures: homogeneous (r 0.47, P 0.006; zero bias; 95% CI −168 to +168 mL/min); regionalized method (r 0.43, P 0.013; zero bias; 95% CI −175 to +175 mL/min).
Conclusion
During angiography and pressure wire assessment, coronary flow can now be regionalized and differentiated at the inlet, outlet, and side branches. The effect of epicardial disease on agreement suggests the model may be best targeted at cases with a stenosis close to side branches.
Graphical Abstract
Graphical Abstract</abstract><cop>US</cop><pub>Oxford University Press</pub><pmid>36974271</pmid><doi>10.1093/ehjdh/ztac077</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-3270-6708</orcidid><orcidid>https://orcid.org/0000-0002-0605-8591</orcidid><orcidid>https://orcid.org/0000-0001-7465-3563</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Original |
title | Validation of a novel numerical model to predict regionalized blood flow in the coronary arteries |
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