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J Am Coll Cardiol Img, 2009; 2:1024-1030, doi:10.1016/j.jcmg.2009.03.019
© 2009 by the American College of Cardiology Foundation
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Technology Toward Translation

Correction of Pulmonary Arteriovenous Malformation Using Image-Based Surgical Planning

Kartik S. Sundareswaran, MS*, Diane de Zélicourt, MS*, Shiva Sharma, MD{dagger}, Kirk R. Kanter, MD{ddagger}, Thomas L. Spray, MD§, Jarek Rossignac, PhD, Fotis Sotiropoulos, PhD#, Mark A. Fogel, MD||, Ajit P. Yoganathan, PhD*,*

* Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, Georgia
{dagger} Pediatric Cardiology Services, Atlanta, Georgia
{ddagger} Division of Cardiothoracic Surgery, Emory University, Atlanta, Georgia
§ Division of Cardiothoracic Surgery, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
|| Division of Cardiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
College of Computing, Georgia Institute of Technology, Atlanta, Georgia
# Department of Civil Engineering, University of Minnesota, Minneapolis, Minnesota

* Reprint requests and correspondence: 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{at}bme.gatech.edu).

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.

Key Words: Fontan • single ventricle congenital heart defects • phase-contrast cardiac magnetic resonance • computational fluid dynamics

Abbreviations and Acronyms
  3D = 3-dimensional
  CFD = computational fluid dynamics
  CMR = cardiac magnetic resonance
  HFD = hepatic flow distribution
  IVC = inferior vena cava
  LPA = left pulmonary artery
  PAVMS = pulmonary arteriovenous malformations
  PC CMR = phase-contrast cardiac magnetic resonance
  RPA = right pulmonary artery
  TCPC = total cavopulmonary connection






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