Correction of Pulmonary Arteriovenous Malformation Using Image-Based Surgical Planning
Identifieur interne : 002180 ( Pmc/Checkpoint ); précédent : 002179; suivant : 002181Correction of Pulmonary Arteriovenous Malformation Using Image-Based Surgical Planning
Auteurs : Kartik S. Sundareswaran [Géorgie (pays)] ; Diane De Zélicourt [Géorgie (pays)] ; Shiva Sharma [Géorgie (pays)] ; Kirk R. Kanter [Géorgie (pays)] ; Thomas L. Spray [Géorgie (pays)] ; Jarek Rossignac [Géorgie (pays)] ; Fotis Sotiropoulos [États-Unis] ; Mark A. Fogel [États-Unis] ; Ajit P. Yoganathan [Géorgie (pays)]Source :
- JACC. Cardiovascular imaging [ 1936-878X ] ; 2009.
Abstract
The objectives of this study were to develop an image-based surgical planning framework that 1) allows for in-depth analysis of pre-operative hemodynamics by the use of cardiac magnetic resonance and 2) enables surgeons to determine the optimum surgical scenarios before the operation. This framework is tailored for applications in which post-operative hemodynamics are important. In particular, it is exemplified here for a Fontan patient with severe left pulmonary arteriovenous malformations due to abnormal hepatic flow distribution to the lungs. Patients first undergo cardiac magnetic resonance for 3-dimensional anatomy and flow reconstruction. After analysis of the pre-operative flow fields, the 3-dimensional anatomy is imported into an interactive surgical planning interface for the surgeon to virtually perform multiple surgical scenarios. Associated hemodynamics are predicted by the use of a fully validated computational fluid dynamic solver. Finally, efficiency metrics (e.g., pressure decrease and hepatic flow distribution) are weighted against surgical feasibility to determine the optimal surgical option.
Url:
DOI: 10.1016/j.jcmg.2009.03.019
PubMed: 19679291
PubMed Central: 3698243
Affiliations:
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<front><div type="abstract" xml:lang="en"><p id="P1">The objectives of this study were to develop an image-based surgical planning framework that 1) allows for in-depth analysis of pre-operative hemodynamics by the use of cardiac magnetic resonance and 2) enables surgeons to determine the optimum surgical scenarios before the operation. This framework is tailored for applications in which post-operative hemodynamics are important. In particular, it is exemplified here for a Fontan patient with severe left pulmonary arteriovenous malformations due to abnormal hepatic flow distribution to the lungs. Patients first undergo cardiac magnetic resonance for 3-dimensional anatomy and flow reconstruction. After analysis of the pre-operative flow fields, the 3-dimensional anatomy is imported into an interactive surgical planning interface for the surgeon to virtually perform multiple surgical scenarios. Associated hemodynamics are predicted by the use of a fully validated computational fluid dynamic solver. Finally, efficiency metrics (e.g., pressure decrease and hepatic flow distribution) are weighted against surgical feasibility to determine the optimal surgical option.</p>
</div>
</front>
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<pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<pmc-dir>properties manuscript</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-journal-id">101467978</journal-id>
<journal-id journal-id-type="pubmed-jr-id">35679</journal-id>
<journal-id journal-id-type="nlm-ta">JACC Cardiovasc Imaging</journal-id>
<journal-id journal-id-type="iso-abbrev">JACC Cardiovasc Imaging</journal-id>
<journal-title-group><journal-title>JACC. Cardiovascular imaging</journal-title>
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<issn pub-type="epub">1876-7591</issn>
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<article-id pub-id-type="manuscript">NIHMS142308</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Article</subject>
</subj-group>
</article-categories>
<title-group><article-title>Correction of Pulmonary Arteriovenous Malformation Using Image-Based Surgical Planning</article-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>Sundareswaran</surname>
<given-names>Kartik S.</given-names>
</name>
<degrees>MS</degrees>
<xref ref-type="aff" rid="A1">*</xref>
</contrib>
<contrib contrib-type="author"><name><surname>de Zélicourt</surname>
<given-names>Diane</given-names>
</name>
<degrees>MS</degrees>
<xref ref-type="aff" rid="A1">*</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Sharma</surname>
<given-names>Shiva</given-names>
</name>
<degrees>MD</degrees>
<xref ref-type="aff" rid="A2">†</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Kanter</surname>
<given-names>Kirk R.</given-names>
</name>
<degrees>MD</degrees>
<xref ref-type="aff" rid="A3">‡</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Spray</surname>
<given-names>Thomas L.</given-names>
</name>
<degrees>MD</degrees>
<xref ref-type="aff" rid="A4">§</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Rossignac</surname>
<given-names>Jarek</given-names>
</name>
<degrees>Phd</degrees>
<xref ref-type="aff" rid="A6">¶</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Sotiropoulos</surname>
<given-names>Fotis</given-names>
</name>
<degrees>Phd</degrees>
<xref ref-type="aff" rid="A7">#</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Fogel</surname>
<given-names>Mark A.</given-names>
</name>
<degrees>MD</degrees>
<xref ref-type="aff" rid="A5">∥</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Yoganathan</surname>
<given-names>Ajit P.</given-names>
</name>
<degrees>Phd</degrees>
<xref ref-type="aff" rid="A1">*</xref>
</contrib>
</contrib-group>
<aff id="A1"><label>*</label>
Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, Georgia</aff>
<aff id="A2"><label>†</label>
Pediatric Cardiology Services, Atlanta, Georgia</aff>
<aff id="A3"><label>‡</label>
Division of Cardiothoracic Surgery, Emory University, Atlanta, Georgia</aff>
<aff id="A4"><label>§</label>
Division of Cardiothoracic Surgery and Emory University, Atlanta, Georgia</aff>
<aff id="A5"><label>∥</label>
Division of Cardiology, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania</aff>
<aff id="A6"><label>¶</label>
College of Computing, Georgia Institute of Technology, Atlanta, Georgia</aff>
<aff id="A7"><label>#</label>
Department of Civil Engineering, University of Minnesota, Minneapolis, Minnesota.</aff>
<author-notes><corresp id="CR1"><bold>Reprint requests and correspondence:</bold>
Dr. Ajit P. Yoganathan, Wallace H. Coulter School of Biomedical Engineering, Georgia Institute of Technology and Emory University, 313 Ferst Drive, Atlanta, Georgia 30332-0535. <email>ajit.yoganathan@bme.gatech.edu</email>
.
</corresp>
</author-notes>
<pub-date pub-type="nihms-submitted"><day>10</day>
<month>5</month>
<year>2013</year>
</pub-date>
<pub-date pub-type="ppub"><month>8</month>
<year>2009</year>
</pub-date>
<pub-date pub-type="pmc-release"><day>01</day>
<month>7</month>
<year>2013</year>
</pub-date>
<volume>2</volume>
<issue>8</issue>
<fpage>1024</fpage>
<lpage>1030</lpage>
<permissions><copyright-statement>© 2009 by the American College of Cardiology Foundation</copyright-statement>
<copyright-year>2009</copyright-year>
</permissions>
<abstract><p id="P1">The objectives of this study were to develop an image-based surgical planning framework that 1) allows for in-depth analysis of pre-operative hemodynamics by the use of cardiac magnetic resonance and 2) enables surgeons to determine the optimum surgical scenarios before the operation. This framework is tailored for applications in which post-operative hemodynamics are important. In particular, it is exemplified here for a Fontan patient with severe left pulmonary arteriovenous malformations due to abnormal hepatic flow distribution to the lungs. Patients first undergo cardiac magnetic resonance for 3-dimensional anatomy and flow reconstruction. After analysis of the pre-operative flow fields, the 3-dimensional anatomy is imported into an interactive surgical planning interface for the surgeon to virtually perform multiple surgical scenarios. Associated hemodynamics are predicted by the use of a fully validated computational fluid dynamic solver. Finally, efficiency metrics (e.g., pressure decrease and hepatic flow distribution) are weighted against surgical feasibility to determine the optimal surgical option.</p>
</abstract>
<kwd-group><kwd>Fontan</kwd>
<kwd>single ventricle congenital heart defects</kwd>
<kwd>phase-contrast cardiac magnetic resonance</kwd>
<kwd>computational fluid dynamics</kwd>
</kwd-group>
<funding-group><award-group><funding-source country="United States">National Heart, Lung, and Blood Institute : NHLBI</funding-source>
<award-id>R01 HL067622-05 || HL</award-id>
</award-group>
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<name sortKey="Yoganathan, Ajit P" sort="Yoganathan, Ajit P" uniqKey="Yoganathan A" first="Ajit P." last="Yoganathan">Ajit P. Yoganathan</name>
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