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Abstract #5277

In-silico Estimation of Individual Lung Pulmonary Vascular Resistance in Children with Glenn Physiology: A Two-Center Study

Sebastian Laudenschlager1, Dhaval Chauhan1, Nita R. Chaudhuri1, Christopher E. Mascio1, Jai P. Udassi1, Benjamin Frank2, Jennifer Romanowicz2, Yue-Hin Loke3, Vitaly O. Kheyfets4, and Mehdi H. Moghari1
1West Virginia University, Morgantown, WV, United States, 2Children's Hospital Colorado, Aurora, CO, United States, 3Children's National Hospital, Washington, DC, United States, 4University of Colorado, Anschutz, Aurora, CO, United States

Synopsis

Keywords: Cardiovascular, Cardiovascular, Fontan

Motivation: Individual lung pulmonary vascular resistance (PVR) estimates are needed to implement virtual Fontan surgical optimization, which aims to improve hepatic flow distribution to the lungs for children with a single functional ventricle.

Goal(s): Compare PVR estimates across two centers using cardiac magnetic resonance (CMR) and catheterization (CATH) data.

Approach: Utilize computational fluid dynamics (CFD) simulations to estimate the PVR of the left and right lungs from CMR and CATH data.

Results: PVR estimates using the CFD pipeline strongly correlate to the clinical PVRs, with R2 > 0.95 and mean flow and pressure errors < 10% for both centers.

Impact: Accurate PVR estimation can be performed on datasets from independent centers, which could allow for future virtual Fontan surgical planning to be adopted more broadly.

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Keywords