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      Using a Novel In Vitro Fontan Model and Condition-Specific Real-Time MRI Data to Examine Hemodynamic Effects of Respiration and Exercise.

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          Abstract

          Several studies exist modeling the Fontan connection to understand its hemodynamic ties to patient outcomes (Chopski in: Experimental and Computational Assessment of Mechanical Circulatory Assistance of a Patient-Specific Fontan Vessel Configuration. Dissertation, 2013; Khiabani et al. in J Biomech 45:2376-2381, 2012; Taylor and Figueroa in Annu Rev Biomed 11:109-134, 2009; Vukicevic et al. in ASAIO J 59:253-260, 2013). The most patient-accurate of these studies include flexible, patient-specific total cavopulmonary connections. This study improves Fontan hemodynamic modeling by validating Fontan model flexibility against a patient-specific bulk compliance value, and employing real-time phase contrast magnetic resonance flow data. The improved model was employed to acquire velocity field information under breath-held, free-breathing, and exercise conditions to investigate the effect of these conditions on clinically important Fontan hemodynamic metrics including power loss and viscous dissipation rate. The velocity data, obtained by stereoscopic particle image velocimetry, was visualized for qualitative three-dimensional flow field comparisons between the conditions. Key hemodynamic metrics were calculated from the velocity data and used to quantitatively compare the flow conditions. The data shows a multi-factorial and extremely patient-specific nature to Fontan hemodynamics.

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          Author and article information

          Journal
          Ann Biomed Eng
          Annals of biomedical engineering
          Springer Science and Business Media LLC
          1573-9686
          0090-6964
          Jan 2018
          : 46
          : 1
          Affiliations
          [1 ] George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
          [2 ] Wallace H. Coulter School of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
          [3 ] Institute of Computational Science and Cardiovascular Disease, Nanjing Medical University, Nanjing, China.
          [4 ] Children's Hospital of Philadelphia, Philadelphia, PA, USA.
          [5 ] Children's Healthcare of Atlanta, Atlanta, GA, USA.
          [6 ] Wallace H. Coulter School of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA. ajit.yoganathan@bme.gatech.edu.
          Article
          10.1007/s10439-017-1943-0 NIHMS915620
          10.1007/s10439-017-1943-0
          5756106
          29067563
          7282897d-45d9-4dc2-819f-8153df1f6bac
          History

          Exercise,Fontan hemodynamics,Real-time MRI,Respiration,Stereo PIV

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