Development and feasibility testing of a dynamic image-derived simulation framework for assessing left atrioventricular valve repair strategies

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Approximately 2100 children are born with an atrioventricular canal (AVC) annually in the USA, with higher prevalence in those with Down Syndrome.
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Surgical repair of complete atrioventricular canal aims to create a mitral-equivalent left atrioventricular valve, but 5-20% of repairs may require reintervention.
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Left atrioventricular valve regurgitation is the most common cause of reintervention, often due to mechanical issues like leaflet prolapse and annular dilatation.
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Advancements in 3D echocardiography allow for detailed analysis of cardiac structures, but existing models often fail to simulate dynamic valve mechanics.
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This study presents a dynamic simulation platform tailored for left atrioventricular valve anatomy to improve surgical repair strategies in pediatric patients.

Int. Journal Of Computer Assisted Radiology And Surgery

by 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
June 8, 2026

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