The utility of three-dimensional modeling in planning repair of a complex atrioventricular canal defect

Surgical repair for patients with heterotaxy syndrome (HS) is highly challenging due to the need to redirect venous and intracardiac flow and avoid injury to the conduction system, which may be unpredictable in location. Although many of these patients have historically undergone single-ventricle palliation, outcomes are worse than for patients with single ventricles without HS,1 reinforcing the need for improved biventricular conversion strategies.

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Publication Details

Journal
JTCVS Techniques
Published
2025-03-26
DOI
https://doi.org/10.1016/j.xjtc.2025.03.009
Primary Topic
Reinforcement Learning in Robotics
Type
article
Field-Weighted Citation Impact
0.00
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article

The utility of three-dimensional modeling in planning repair of a complex atrioventricular canal defect

Berk Aykut, Gregory M. Sturgeon, Piers Barker, Joseph William Turek et al.
JTCVS Techniques
Reinforcement Learning in Robotics
article

The utility of three-dimensional modeling in planning repair of a complex atrioventricular canal defect

Berk Aykut, Gregory M. Sturgeon, Piers Barker, Joseph William Turek, Douglas M. Overbey, Steven Wolf, John A. Kucera, Michael Mensah-Mamfo, Hiba Ghandour
article en

Abstract

Surgical repair for patients with heterotaxy syndrome (HS) is highly challenging due to the need to redirect venous and intracardiac flow and avoid injury to the conduction system, which may be unpredictable in location. Although many of these patients have historically undergone single-ventricle palliation, outcomes are worse than for patients with single ventricles without HS,1 reinforcing the need for improved biventricular conversion strategies.

JTCVS TechniquesVol. 31
Duke University (US), Duke Children's Hospital & Health Center (US), Duke University Hospital (US)
Openalex Percentile: Top 97%
Reinforcement Learning in Robotics
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The utility of three-dimensional modeling in planning repair of a complex atrioventricular canal defect — Berk Aykut, Gregory M. Sturgeon, et al. · JTCVS Techniques (2025) | TGRS Research Map | TGRS