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Author Notes:

Ajit P. Yoganathan, PhD, The Wallace H. Coulter Distinguished Faculty Chair in Biomedical Engineering & Regent’s Professor, Associate Chair for Research Wallace H. Coulter Department of Biomedical Engineering Georgia Institute of Technology & Emory University, 313 Ferst Drive, Atlanta, GA 30332, ajit.yoganathan@bme.gatech.edu, Phone: 404-894-2849 Fax: 404-894-4243.

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Research Funding:

his study was supported by the National Heart, Lung, and Blood Institute Grants HL67622 and HL098252, and a Pre-Doctoral Fellowship Award (10PRE3720002) from the American Heart Association.

Comparing Pre- and Post-Operative Fontan Hemodynamic Simulations: Implications for the Reliability of Surgical Planning

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Journal Title:

Annals of Biomedical Engineering

Publisher:

, Pages 1-13

Type of Work:

Article | Post-print: After Peer Review

Abstract:

Virtual modeling of cardiothoracic surgery is a new paradigm that allows for systematic exploration of various operative strategies and uses engineering principles to predict the optimal patient-specific plan. This study investigates the predictive accuracy of such methods for the surgical palliation of single ventricle heart defects. Computational fluid dynamics (CFD)-based surgical planning was used to model the Fontan procedure for four patients prior to surgery. The objective for each was to identify the operative strategy that best distributed hepatic blood flow to the pulmonary arteries. Post-operative magnetic resonance data were acquired to compare (via CFD) the post-operative hemodynamics with predictions. Despite variations in physiologic boundary conditions (e.g., cardiac output, venous flows) and the exact geometry of the surgical baffle, sufficient agreement was observed with respect to hepatic flow distribution (90% confidence interval-14 ± 4.3% difference). There was also good agreement of flow-normalized energetic efficiency predictions (19 ± 4.8% error). The hemodynamic outcomes of prospective patient-specific surgical planning of the Fontan procedure are described for the first time with good quantitative comparisons between preoperatively predicted and postoperative simulations. These results demonstrate that surgical planning can be a useful tool for single ventricle cardiothoracic surgery with the ability to deliver significant clinical impact.

Copyright information:

© 2012 Biomedical Engineering Society.

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