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Numerical Simulation and Clinical Implications of Stenosis in Coronary Blood Flow
Fractional flow reserve (FFR) is the gold standard to guide coronary interventions. However it can only be obtained via invasive angiography. The objective of this study is to propose a noninvasive method to determine FFRCT by combining computed tomography angiographic (CTA) images and computational...
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Published in: | BioMed research international 2014-01, Vol.2014 (2014), p.1-10 |
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creator | Luo, Tong Zhong, Liang Zhang, Jun-Mei Huo, Yunlong Tan, Swee Yaw Wong, Aaron Sung Lung Su, Boyang Wan, Min Zhao, Xiaodan Kassab, Ghassan S. Lee, Heow Pueh Khoo, Boo Cheong Kang, Chang-Wei Ba, Te Tan, Ru San |
description | Fractional flow reserve (FFR) is the gold standard to guide coronary interventions. However it can only be obtained via invasive angiography. The objective of this study is to propose a noninvasive method to determine FFRCT by combining computed tomography angiographic (CTA) images and computational fluid dynamics (CFD) technique. Utilizing the method, this study explored the effects of diameter stenosis (DS), stenosis length, and location on FFRCT. The baseline left anterior descending (LAD) model was reconstructed from CTA of a healthy porcine heart. A series of models were created by adding an idealized stenosis (with DS from 45% to 75%, stenosis length from 4 mm to 16 mm, and at 4 locations separately). Through numerical simulations, it was found that FFRCT decreased (from 0.89 to 0.74), when DS increased (from 45% to 75%). Similarly, FFRCT decreased with the increase of stenosis length and the stenosis located at proximal position had lower FFRCT than that at distal position. These findings are consistent with clinical observations. Applying the same method on two patients’ CTA images yielded FFRCT close to the FFR values obtained via invasive angiography. The proposed noninvasive computation of FFRCT is promising for clinical diagnosis of CAD. |
doi_str_mv | 10.1155/2014/514729 |
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However it can only be obtained via invasive angiography. The objective of this study is to propose a noninvasive method to determine FFRCT by combining computed tomography angiographic (CTA) images and computational fluid dynamics (CFD) technique. Utilizing the method, this study explored the effects of diameter stenosis (DS), stenosis length, and location on FFRCT. The baseline left anterior descending (LAD) model was reconstructed from CTA of a healthy porcine heart. A series of models were created by adding an idealized stenosis (with DS from 45% to 75%, stenosis length from 4 mm to 16 mm, and at 4 locations separately). Through numerical simulations, it was found that FFRCT decreased (from 0.89 to 0.74), when DS increased (from 45% to 75%). Similarly, FFRCT decreased with the increase of stenosis length and the stenosis located at proximal position had lower FFRCT than that at distal position. These findings are consistent with clinical observations. Applying the same method on two patients’ CTA images yielded FFRCT close to the FFR values obtained via invasive angiography. The proposed noninvasive computation of FFRCT is promising for clinical diagnosis of CAD.</description><identifier>ISSN: 2314-6133</identifier><identifier>EISSN: 2314-6141</identifier><identifier>DOI: 10.1155/2014/514729</identifier><identifier>PMID: 24987691</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Puplishing Corporation</publisher><subject>Anatomy & physiology ; Angiography ; Animals ; Biomedical research ; Blood ; Blood Flow Velocity ; Boundary conditions ; Cardiovascular disease ; Care and treatment ; Compliance ; Coronary Circulation ; Coronary heart disease ; Coronary Stenosis - pathology ; Coronary Stenosis - physiopathology ; Coronary vessels ; Coronary Vessels - pathology ; Coronary Vessels - physiopathology ; Fluid dynamics ; Heart ; Heart attacks ; Humans ; Medical research ; Medicine, Experimental ; Models, Cardiovascular ; Myocardium ; NMR ; Nuclear magnetic resonance ; Reynolds number ; Simulation ; Stenosis ; Studies ; Swine</subject><ispartof>BioMed research international, 2014-01, Vol.2014 (2014), p.1-10</ispartof><rights>Copyright © 2014 Jun-Mei Zhang et al.</rights><rights>COPYRIGHT 2014 John Wiley & Sons, Inc.</rights><rights>Copyright © 2014 Jun-Mei Zhang et al. Jun-Mei Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><rights>Copyright © 2014 Jun-Mei Zhang et al. 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c527t-4daed6fdff65b611f22857380197d8ad4ce1d250489b609aea80896f0e7314e3</citedby><cites>FETCH-LOGICAL-c527t-4daed6fdff65b611f22857380197d8ad4ce1d250489b609aea80896f0e7314e3</cites><orcidid>0000-0003-4732-2990 ; 0000-0002-2257-1803 ; 0000-0002-4380-3888 ; 0000-0003-4773-256X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1547921579/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1547921579?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,25753,27924,27925,37012,37013,44590,74998</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24987691$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Levy, Bruno</contributor><creatorcontrib>Luo, Tong</creatorcontrib><creatorcontrib>Zhong, Liang</creatorcontrib><creatorcontrib>Zhang, Jun-Mei</creatorcontrib><creatorcontrib>Huo, Yunlong</creatorcontrib><creatorcontrib>Tan, Swee Yaw</creatorcontrib><creatorcontrib>Wong, Aaron Sung Lung</creatorcontrib><creatorcontrib>Su, Boyang</creatorcontrib><creatorcontrib>Wan, Min</creatorcontrib><creatorcontrib>Zhao, Xiaodan</creatorcontrib><creatorcontrib>Kassab, Ghassan S.</creatorcontrib><creatorcontrib>Lee, Heow Pueh</creatorcontrib><creatorcontrib>Khoo, Boo Cheong</creatorcontrib><creatorcontrib>Kang, Chang-Wei</creatorcontrib><creatorcontrib>Ba, Te</creatorcontrib><creatorcontrib>Tan, Ru San</creatorcontrib><title>Numerical Simulation and Clinical Implications of Stenosis in Coronary Blood Flow</title><title>BioMed research international</title><addtitle>Biomed Res Int</addtitle><description>Fractional flow reserve (FFR) is the gold standard to guide coronary interventions. However it can only be obtained via invasive angiography. The objective of this study is to propose a noninvasive method to determine FFRCT by combining computed tomography angiographic (CTA) images and computational fluid dynamics (CFD) technique. Utilizing the method, this study explored the effects of diameter stenosis (DS), stenosis length, and location on FFRCT. The baseline left anterior descending (LAD) model was reconstructed from CTA of a healthy porcine heart. A series of models were created by adding an idealized stenosis (with DS from 45% to 75%, stenosis length from 4 mm to 16 mm, and at 4 locations separately). Through numerical simulations, it was found that FFRCT decreased (from 0.89 to 0.74), when DS increased (from 45% to 75%). Similarly, FFRCT decreased with the increase of stenosis length and the stenosis located at proximal position had lower FFRCT than that at distal position. These findings are consistent with clinical observations. Applying the same method on two patients’ CTA images yielded FFRCT close to the FFR values obtained via invasive angiography. The proposed noninvasive computation of FFRCT is promising for clinical diagnosis of CAD.</description><subject>Anatomy & physiology</subject><subject>Angiography</subject><subject>Animals</subject><subject>Biomedical research</subject><subject>Blood</subject><subject>Blood Flow Velocity</subject><subject>Boundary conditions</subject><subject>Cardiovascular disease</subject><subject>Care and treatment</subject><subject>Compliance</subject><subject>Coronary Circulation</subject><subject>Coronary heart disease</subject><subject>Coronary Stenosis - pathology</subject><subject>Coronary Stenosis - physiopathology</subject><subject>Coronary vessels</subject><subject>Coronary Vessels - pathology</subject><subject>Coronary Vessels - physiopathology</subject><subject>Fluid dynamics</subject><subject>Heart</subject><subject>Heart attacks</subject><subject>Humans</subject><subject>Medical research</subject><subject>Medicine, Experimental</subject><subject>Models, 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Int</addtitle><date>2014-01-01</date><risdate>2014</risdate><volume>2014</volume><issue>2014</issue><spage>1</spage><epage>10</epage><pages>1-10</pages><issn>2314-6133</issn><eissn>2314-6141</eissn><abstract>Fractional flow reserve (FFR) is the gold standard to guide coronary interventions. However it can only be obtained via invasive angiography. The objective of this study is to propose a noninvasive method to determine FFRCT by combining computed tomography angiographic (CTA) images and computational fluid dynamics (CFD) technique. Utilizing the method, this study explored the effects of diameter stenosis (DS), stenosis length, and location on FFRCT. The baseline left anterior descending (LAD) model was reconstructed from CTA of a healthy porcine heart. A series of models were created by adding an idealized stenosis (with DS from 45% to 75%, stenosis length from 4 mm to 16 mm, and at 4 locations separately). Through numerical simulations, it was found that FFRCT decreased (from 0.89 to 0.74), when DS increased (from 45% to 75%). Similarly, FFRCT decreased with the increase of stenosis length and the stenosis located at proximal position had lower FFRCT than that at distal position. These findings are consistent with clinical observations. Applying the same method on two patients’ CTA images yielded FFRCT close to the FFR values obtained via invasive angiography. The proposed noninvasive computation of FFRCT is promising for clinical diagnosis of CAD.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Puplishing Corporation</pub><pmid>24987691</pmid><doi>10.1155/2014/514729</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-4732-2990</orcidid><orcidid>https://orcid.org/0000-0002-2257-1803</orcidid><orcidid>https://orcid.org/0000-0002-4380-3888</orcidid><orcidid>https://orcid.org/0000-0003-4773-256X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Anatomy & physiology Angiography Animals Biomedical research Blood Blood Flow Velocity Boundary conditions Cardiovascular disease Care and treatment Compliance Coronary Circulation Coronary heart disease Coronary Stenosis - pathology Coronary Stenosis - physiopathology Coronary vessels Coronary Vessels - pathology Coronary Vessels - physiopathology Fluid dynamics Heart Heart attacks Humans Medical research Medicine, Experimental Models, Cardiovascular Myocardium NMR Nuclear magnetic resonance Reynolds number Simulation Stenosis Studies Swine |
title | Numerical Simulation and Clinical Implications of Stenosis in Coronary Blood Flow |
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