Simulation of Repair on Dynamic Patient-Specific Left Atrioventricular Valve Models
Stephen Ching, Christopher Zelonis, Christian Herz, Patricia Sabin, Matthew Daemer, Muhammad Nuri, Yan Wang, Devin W. Laurence, Jonathan M. Chen, Lindsay S. Rogers, Michael D. Quartermain, John Moore, Terry Peters, Elvis Chen, Matthew A. Jolley

TL;DR
This study presents a novel patient-specific physical simulation platform using silicone models to evaluate and refine left atrioventricular valve repair strategies in pediatric congenital heart disease, demonstrating its potential for preclinical testing.
Contribution
The paper introduces a dynamic, image-derived simulation platform for assessing LAVV repairs, combining patient-specific modeling with physical testing under physiological conditions.
Findings
Manufacturing variability was low in annular metrics but higher in leaflet closure metrics.
Certain repair techniques eliminated regurgitation but varied in pressure gradients and durability.
The platform can compare multiple repair strategies in a controlled, patient-specific setting.
Abstract
Purpose: To develop and evaluate a dynamic, image-derived patient-specific physical simulation platform for the assessment of left atrioventricular valve (LAVV) repair strategies in pediatric patients with repaired atrioventricular canal defects. Methods: 3D transesophageal echocardiographic images of two patients with regurgitant LAVVs were identified from an institutional database. Custom code in SlicerHeart was used to segment leaflets, define the annulus, and generate patient-specific valve molds. Silicone valve models were fabricated and tested in a pulse duplicator under simulated physiological conditions. Five unrepaired valves were analyzed for manufacturing consistency, and multiple surgical repair techniques were compared for two patient-specific models. Results: Manufacturing variability was low in annular metrics (CV for annular circumference: 2.1; commissural distance: 4.1;…
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