Evaluating MRI based vascular wall motion as a biomarker of Fontan hemodynamic performance

The Fontan procedure for single-ventricle heart disease involves creation of pathways to divert venous blood from the superior & inferior venacavae (SVC, IVC) directly into the pulmonary arteries (PA), bypassing the right ventricle. For optimal surgical outcomes, venous flow energy loss in the resulting vascular construction must be minimized and ensuring close to equal flow distribution from the Fontan conduit connecting IVC to the left & right PA is paramount. This requires patient-specific hemodynamic evaluation using computational fluid dynamics (CFD) simulations which are often time and resource intensive, limiting applicability for real-time patient management in the clinic. In this study, we report preliminary efforts at identifying a new non-invasive imaging based surrogate for CFD simulated hemodynamics. We establish correlations between computed hemodynamic criteria from CFD modeling and cumulative wall displacement characteristics of the Fontan conduit quantified from cine cardiovascular MRI segmentations over time (i.e. 20 cardiac phases gated from the start of ventricular systole), in 5 unique Fontan surgical connections. To focus our attention on diameter variations while discounting side-to-side swaying motion of the Fontan conduit, the difference between its instantaneous regional expansion and inward contraction (averaged across the conduit) was computed and analyzed. Maximum Fontan conduit-average expansion over the cardiac cycle correlated with the anatomy-specific diametric offset between the axis of the IVC and SVC (r2=0.13, p=0.55) – a known factor correlated with Fontan energy loss and IVC-to-PA flow distribution. Investigation in a larger study cohort is needed to establish stronger statistical correlations.

[1]  A. L. Marsden,et al.  Virtual surgeries in patients with congenital heart disease: a multi-scale modelling test case , 2011, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[2]  J. F. Keane,et al.  Hepatic venous blood and the development of pulmonary arteriovenous malformations in congenital heart disease. , 1995, Circulation.

[3]  Jarek Rossignac,et al.  Patient-specific surgical planning and hemodynamic computational fluid dynamics optimization through free-form haptic anatomy editing tool (SURGEM) , 2008, Medical & Biological Engineering & Computing.

[4]  Prahlad G. Menon,et al.  Presurgical planning using image-based in silico anatomical and functional characterization of Tetralogy of Fallot with associated anomalies. , 2015, Interactive cardiovascular and thoracic surgery.

[5]  Prahlad G. Menon,et al.  Postsurgical comparison of pulsatile hemodynamics in five unique total cavopulmonary connections: identifying ideal connection strategies. , 2013, The Annals of thoracic surgery.

[6]  Guido Gerig,et al.  User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability , 2006, NeuroImage.

[7]  Prahlad G. Menon,et al.  Rapid Quantification of Mean Myocardial Wall Velocity in Ischemic Cardiomyopathy by Cardiac Magnetic Resonance: An Index of Cardiac Functional Abnormalities during the Cardiac Cycle , 2014 .

[8]  F. Fontan,et al.  Surgical repair of tricuspid atresia , 1971, Thorax.

[9]  Vanathi Gopalakrishnan,et al.  Novel MRI-derived quantitative biomarker for cardiac function applied to classifying ischemic cardiomyopathy within a Bayesian rule learning framework , 2014, Medical Imaging.

[10]  W. Gersony,et al.  Management of the postoperative Fontan patient , 2003 .