Measurement and modeling of coronary blood flow
Ischemic heart disease that comprises both coronary artery disease and microvascular disease is the single greatest cause of death globally. In this context, enhancing our understanding of the interaction of coronary structure and function is not only fundamental for advancing basic physiology but a...
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Veröffentlicht in: | Wiley interdisciplinary reviews. Mechanisms of disease 2015-11, Vol.7 (6), p.335-356 |
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description | Ischemic heart disease that comprises both coronary artery disease and microvascular disease is the single greatest cause of death globally. In this context, enhancing our understanding of the interaction of coronary structure and function is not only fundamental for advancing basic physiology but also crucial for identifying new targets for treating these diseases. A central challenge for understanding coronary blood flow is that coronary structure and function exhibit different behaviors across a range of spatial and temporal scales. While experimental studies have sought to understand this feature by isolating specific mechanisms, in tandem, computational modeling is increasingly also providing a unique framework to integrate mechanistic behaviors across different scales. In addition, clinical methods for assessing coronary disease severity are continuously being informed and updated by findings in basic physiology. Coupling these technologies, computational modeling of the coronary circulation is emerging as a bridge between the experimental and clinical domains, providing a framework to integrate imaging and measurements from multiple sources with mathematical descriptions of governing physical laws. State‐of‐the‐art computational modeling is being used to combine mechanistic models with data to provide new insight into coronary physiology, optimization of medical technologies, and new applications to guide clinical practice. WIREs Syst Biol Med 2015, 7:335–356. doi: 10.1002/wsbm.1309
This article is categorized under:
Analytical and Computational Methods > Computational Methods
Physiology > Mammalian Physiology in Health and Disease
Models of Systems Properties and Processes > Organ, Tissue, and Physiological Models |
doi_str_mv | 10.1002/wsbm.1309 |
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This article is categorized under:
Analytical and Computational Methods > Computational Methods
Physiology > Mammalian Physiology in Health and Disease
Models of Systems Properties and Processes > Organ, Tissue, and Physiological Models</description><identifier>ISSN: 1939-5094</identifier><identifier>EISSN: 1939-005X</identifier><identifier>EISSN: 2692-9368</identifier><identifier>DOI: 10.1002/wsbm.1309</identifier><identifier>PMID: 26123867</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>Animals ; Blood ; Cardiovascular disease ; Coronary Artery Disease - diagnosis ; Coronary Artery Disease - physiopathology ; Coronary Circulation - physiology ; Coronary Vessels - pathology ; Coronary Vessels - physiology ; Hemodynamics ; Magnetic Resonance Imaging ; Models, Cardiovascular ; Physiology ; Tomography, Emission-Computed, Single-Photon</subject><ispartof>Wiley interdisciplinary reviews. Mechanisms of disease, 2015-11, Vol.7 (6), p.335-356</ispartof><rights>2015 Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3769-e12c8da972953540f34b72d572fd2f3a5c55710bfabc34aa6516b1dfe8c4a1a53</citedby><cites>FETCH-LOGICAL-c3769-e12c8da972953540f34b72d572fd2f3a5c55710bfabc34aa6516b1dfe8c4a1a53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fwsbm.1309$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fwsbm.1309$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26123867$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sinclair, Matthew D.</creatorcontrib><creatorcontrib>Lee, Jack</creatorcontrib><creatorcontrib>Cookson, Andrew N.</creatorcontrib><creatorcontrib>Rivolo, Simone</creatorcontrib><creatorcontrib>Hyde, Eoin R.</creatorcontrib><creatorcontrib>Smith, Nicolas P.</creatorcontrib><title>Measurement and modeling of coronary blood flow</title><title>Wiley interdisciplinary reviews. Mechanisms of disease</title><addtitle>WIREs Syst Biol Med</addtitle><description>Ischemic heart disease that comprises both coronary artery disease and microvascular disease is the single greatest cause of death globally. In this context, enhancing our understanding of the interaction of coronary structure and function is not only fundamental for advancing basic physiology but also crucial for identifying new targets for treating these diseases. A central challenge for understanding coronary blood flow is that coronary structure and function exhibit different behaviors across a range of spatial and temporal scales. While experimental studies have sought to understand this feature by isolating specific mechanisms, in tandem, computational modeling is increasingly also providing a unique framework to integrate mechanistic behaviors across different scales. In addition, clinical methods for assessing coronary disease severity are continuously being informed and updated by findings in basic physiology. Coupling these technologies, computational modeling of the coronary circulation is emerging as a bridge between the experimental and clinical domains, providing a framework to integrate imaging and measurements from multiple sources with mathematical descriptions of governing physical laws. State‐of‐the‐art computational modeling is being used to combine mechanistic models with data to provide new insight into coronary physiology, optimization of medical technologies, and new applications to guide clinical practice. WIREs Syst Biol Med 2015, 7:335–356. doi: 10.1002/wsbm.1309
This article is categorized under:
Analytical and Computational Methods > Computational Methods
Physiology > Mammalian Physiology in Health and Disease
Models of Systems Properties and Processes > Organ, Tissue, and Physiological Models</description><subject>Animals</subject><subject>Blood</subject><subject>Cardiovascular disease</subject><subject>Coronary Artery Disease - diagnosis</subject><subject>Coronary Artery Disease - physiopathology</subject><subject>Coronary Circulation - physiology</subject><subject>Coronary Vessels - pathology</subject><subject>Coronary Vessels - physiology</subject><subject>Hemodynamics</subject><subject>Magnetic Resonance Imaging</subject><subject>Models, Cardiovascular</subject><subject>Physiology</subject><subject>Tomography, Emission-Computed, Single-Photon</subject><issn>1939-5094</issn><issn>1939-005X</issn><issn>2692-9368</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kL1OwzAURi0EoqUw8AIoEgsMKf6N4xEKtEhtGQCVzXISG6UkcbEblb4Nz8KTkSqlAxLTvcP5ju79ADhFsI8gxFcrn5R9RKDYA10kiAghZK_7251BQTvgyPs5hBGjQhyCDo4QJnHEuwBOtPK106WuloGqsqC0mS7y6i2w5vsrtc5Wyq2DpLA2C0xhV8fgwKjC65Pt7IGX-7vnwSgcPw4fBtfjMCU8EqFGOI0zJTgWjDAKDaEJxxnj2GTYEMVSxjiCiVFJSqhSEUNRgjKj45QqpBjpgYvWu3D2o9Z-Kcvcp7ooVKVt7SXiGJEIMoIb9PwPOre1q5rrNhSkEDHKG-qypVJnvXfayIXLy-Y5iaDc1Cg3NcpNjQ17tjXWSamzHfnbWwNctcAqL_T6f5OcPd1MtsqwTeR-qT93CeXeZePjTM6mQ3k7ouN4MI3kmPwAUNyK6Q</recordid><startdate>201511</startdate><enddate>201511</enddate><creator>Sinclair, Matthew D.</creator><creator>Lee, Jack</creator><creator>Cookson, Andrew N.</creator><creator>Rivolo, Simone</creator><creator>Hyde, Eoin R.</creator><creator>Smith, Nicolas P.</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7QP</scope><scope>7QR</scope><scope>7SS</scope><scope>7T5</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>H94</scope><scope>K9.</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>201511</creationdate><title>Measurement and modeling of coronary blood flow</title><author>Sinclair, Matthew D. ; Lee, Jack ; Cookson, Andrew N. ; Rivolo, Simone ; Hyde, Eoin R. ; Smith, Nicolas P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3769-e12c8da972953540f34b72d572fd2f3a5c55710bfabc34aa6516b1dfe8c4a1a53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Animals</topic><topic>Blood</topic><topic>Cardiovascular disease</topic><topic>Coronary Artery Disease - diagnosis</topic><topic>Coronary Artery Disease - physiopathology</topic><topic>Coronary Circulation - physiology</topic><topic>Coronary Vessels - pathology</topic><topic>Coronary Vessels - physiology</topic><topic>Hemodynamics</topic><topic>Magnetic Resonance Imaging</topic><topic>Models, Cardiovascular</topic><topic>Physiology</topic><topic>Tomography, Emission-Computed, Single-Photon</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sinclair, Matthew D.</creatorcontrib><creatorcontrib>Lee, Jack</creatorcontrib><creatorcontrib>Cookson, Andrew N.</creatorcontrib><creatorcontrib>Rivolo, Simone</creatorcontrib><creatorcontrib>Hyde, Eoin R.</creatorcontrib><creatorcontrib>Smith, Nicolas P.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Wiley interdisciplinary reviews. Mechanisms of disease</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sinclair, Matthew D.</au><au>Lee, Jack</au><au>Cookson, Andrew N.</au><au>Rivolo, Simone</au><au>Hyde, Eoin R.</au><au>Smith, Nicolas P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Measurement and modeling of coronary blood flow</atitle><jtitle>Wiley interdisciplinary reviews. Mechanisms of disease</jtitle><addtitle>WIREs Syst Biol Med</addtitle><date>2015-11</date><risdate>2015</risdate><volume>7</volume><issue>6</issue><spage>335</spage><epage>356</epage><pages>335-356</pages><issn>1939-5094</issn><eissn>1939-005X</eissn><eissn>2692-9368</eissn><abstract>Ischemic heart disease that comprises both coronary artery disease and microvascular disease is the single greatest cause of death globally. In this context, enhancing our understanding of the interaction of coronary structure and function is not only fundamental for advancing basic physiology but also crucial for identifying new targets for treating these diseases. A central challenge for understanding coronary blood flow is that coronary structure and function exhibit different behaviors across a range of spatial and temporal scales. While experimental studies have sought to understand this feature by isolating specific mechanisms, in tandem, computational modeling is increasingly also providing a unique framework to integrate mechanistic behaviors across different scales. In addition, clinical methods for assessing coronary disease severity are continuously being informed and updated by findings in basic physiology. Coupling these technologies, computational modeling of the coronary circulation is emerging as a bridge between the experimental and clinical domains, providing a framework to integrate imaging and measurements from multiple sources with mathematical descriptions of governing physical laws. State‐of‐the‐art computational modeling is being used to combine mechanistic models with data to provide new insight into coronary physiology, optimization of medical technologies, and new applications to guide clinical practice. WIREs Syst Biol Med 2015, 7:335–356. doi: 10.1002/wsbm.1309
This article is categorized under:
Analytical and Computational Methods > Computational Methods
Physiology > Mammalian Physiology in Health and Disease
Models of Systems Properties and Processes > Organ, Tissue, and Physiological Models</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><pmid>26123867</pmid><doi>10.1002/wsbm.1309</doi><tpages>22</tpages></addata></record> |
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subjects | Animals Blood Cardiovascular disease Coronary Artery Disease - diagnosis Coronary Artery Disease - physiopathology Coronary Circulation - physiology Coronary Vessels - pathology Coronary Vessels - physiology Hemodynamics Magnetic Resonance Imaging Models, Cardiovascular Physiology Tomography, Emission-Computed, Single-Photon |
title | Measurement and modeling of coronary blood flow |
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