Changes in Left Atrial Flow and Stasis After Rhythm Restoration via Cardiac Ablation
ORAL
Abstract
in the left atrial appendage (LAA). Because AF is associated with both functional and structural
changes in the left atrium (LA), it is challenging to isolate the hemodynamic effects of rhythm
alone. In patient-specific flow modeling, rhythm cannot be controlled at the time of imaging,
and most studies compare AF and sinus rhythm (SR) across different patients, confounding rhythm
with anatomy. To overcome this, we studied patients imaged in AF prior to catheter ablation and
again in stable SR more than three months post-ablation, enabling direct comparison of flow and
stasis under both rhythms in the same anatomical configuration.
For each patient, LA anatomical meshes were automatically generated from 4D cardiac CT
segmentations using a custom-trained nnU-Net. Time-resolved atrial wall motion was extracted via
non-rigid Coherent Point Drift (CPD) registration across frames. To enable consistent comparison
of wall dynamics across rhythms and patients, we used a Universal Atrial Coordinate (UAC)
framework based on Signed Distance Fields (SDF), followed by Fourier analysis to characterize
rhythm-dependent wall motion in a standardized reference space.
Patient-specific LA flow and LAA stasis were simulated using an in-house single-GPU immersed
boundary CFD solver in both AF and SR conditions. Blood was modeled as a non-Newtonian fluid via
a Carreau–Yasuda relation, activated in regions of high residence time. Simulations spanned 20
cardiac cycles to resolve stasis regions. Results show that while
the impact of AF on LA flow is patient-specific, it consistently leads to increased LAA stasis
relative to SR when controlling for LA and LAA anatomy.
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Presenters
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Savier Sharda
University of Washington
Authors
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Savier Sharda
University of Washington
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Akshaykumar Gupta
University of Washington
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Alejandro Gonzalo
University of Washington
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Manuel Guerrero-Hurtado
Universidad Carlos III de Madrid
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Pablo Martinez-Legazpi
Universidad Nacional de Educación a Distancia, Universidad Nacional de Educación a Distancia & CIBERCV
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Javier Bermejo
Hospital General Universitario Gregorio Maranon
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Manuel García-Villalba
TU Wien, Technical University of Vienna
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Oscar Flores
University Carlos III De Madrid
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Elliot McVeigh
University of California San Diego
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Andrew M Kahn
University of California San Diego
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Juan C del Alamo
Department of Mechanical Engineering, University of Washington, Seattle, Washington; Center for Cardiovascular Biology, University of Washington, Seattle, Washington, University of Washington