ArticleFrontiers in physiology2021
Demonstration of Patient-Specific Simulations to Assess Left Atrial Appendage Thrombogenesis Risk.
Article in Frontiers in physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed, 102 citations in OpenAlex.
- An integrated fluid-dynamic and structural pipeline to assess atrial hemodynamics before and after left atrial appendage occluder deployment in a patient-specific anatomy.Medical & biological engineering & computing · 2026Article
- Beyond CHAAnnals of biomedical engineering · 2026Article
- Sinogram-based flow estimation in computed tomography using a physics-informed neural network: Impact of gantry rotation speed, X-ray fluence and pulsed acquisition on accuracy.Medical physics · 2026Article
- Left atrial flow and thrombosis risk from 4D CT contrast dynamics by physics-informed neural network and indicator dilution theory.bioRxiv : the preprint server for biology · 2026Article
- CFD-derived radiomics from hemodynamic maps for quantitative assessment of left atrial flow in atrial fibrillation: a proof-of-concept study.Frontiers in cardiovascular medicine · 2026Article
- Hemodynamics affects factor XI/XII anticoagulation efficacy in patient-derived left atrial models.Computer methods and programs in biomedicine · 2025Article
- Digital twin integrating clinical, morphological and hemodynamic data to identify stroke risk factors.NPJ digital medicine · 2025Article
- Left atrial wall shear stress correlates with fibrosis in patients with atrial fibrillation.Nature cardiovascular research · 2025Observational
- Left atrial appendage occlusion in atrial fibrillation: shaping the future of stroke prevention.Future cardiology · 2025Review
- A Python-based flow solver for numerical simulations using an immersed boundary method on single GPUs.Computers & fluids · 2025Article
- Super-resolution left ventricular flow and pressure mapping by Navier-Stokes-informed neural networks.Computers in biology and medicine · 2025Article
- The correlation between left atrial appendage morphology and thromboembolic risk in atrial fibrillation.Frontiers in stroke · 2025Review
- Intracardiac fluid dynamic analysis: available techniques and novel clinical applications.BMC cardiovascular disorders · 2024Review
- Multiphysics simulations reveal haemodynamic impacts of patient-derived fibrosis-related changes in left atrial tissue mechanics.The Journal of physiology · 2024Article
- Article
- Impact of occluder device configurations in in-silico left atrial hemodynamics for the analysis of device-related thrombus.PLoS computational biology · 2024Article
- Subjects with carotid webs demonstrate pro-thrombotic hemodynamics compared to subjects with carotid atherosclerosis.Scientific reports · 2024Article
- A comprehensive stroke risk assessment by combining atrial computational fluid dynamics simulations and functional patient data.Scientific reports · 2024Article
- Super-resolution Left Ventricular Flow and Pressure Mapping by Navier-Stokes-Informed Neural Networks.bioRxiv : the preprint server for biology · 2024Article
- Slow blood-flow in the left atrial appendage is associated with stroke in atrial fibrillation patients.Heliyon · 2024Article
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Authors and funding
11 authors at 6 institutions in 2 countries.
Funding
Abstract
Atrial fibrillation (AF) alters left atrial (LA) hemodynamics, which can lead to thrombosis in the left atrial appendage (LAA), systemic embolism and stroke. A personalized risk-stratification of AF patients for stroke would permit improved balancing of preventive anticoagulation therapies against bleeding risk. We investigated how LA anatomy and function impact LA and LAA hemodynamics, and explored whether patient-specific analysis by computational fluid dynamics (CFD) can predict the risk of LAA thrombosis. We analyzed 4D-CT acquisitions of LA wall motion with an in-house immersed-boundary CFD solver. We considered six patients with diverse atrial function, three with either a LAA thrombus (removed digitally before running the simulations) or a history of transient ischemic attacks (LAAT/TIA-pos), and three without a LAA thrombus or TIA (LAAT/TIA-neg). We found that blood inside the left atrial appendage of LAAT/TIA-pos patients had marked alterations in residence time and kinetic energy when compared with LAAT/TIA-neg patients. In addition, we showed how the LA conduit, reservoir and booster functions distinctly affect LA and LAA hemodynamics. Finally, fixed-wall and moving-wall simulations produced different LA hemodynamics and residence time predictions for each patient. Consequently, fixed-wall simulations risk-stratified our small cohort for LAA thrombosis worse than moving-wall simulations, particularly patients with intermediate LAA residence time. Overall, these results suggest that both wall kinetics and LAA morphology contribute to LAA blood stasis and thrombosis.
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