ArticleFrontiers in physiology2018
The Impact of Left Atrium Appendage Morphology on Stroke Risk Assessment in Atrial Fibrillation: A Computational Fluid Dynamics Study.
Article in Frontiers in physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
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Who cites it
51 citing papers in PubMed, 127 citations in OpenAlex.
- Cardiac CT Roadmap for Left Atrial Appendage Occlusion: From Planning to Strategy to Follow-Up.Journal of clinical medicine · 2026Review
- Nomogram for predicting left atrial appendage dense spontaneous echo contrast and/or thrombosis (dense spontaneous echo contrast/left atrial appendage thrombus): a comparison with CHADSQuantitative imaging in medicine and surgery · 2026Article
- Beyond CHAAnnals of biomedical engineering · 2026Article
- Effects of Left Atrial Wall Thickness on Myocardial Mechanics and Blood Dynamics using Multiscale Modeling.bioRxiv : the preprint server for biology · 2026Article
- Importance of echocardiography in navigating left atrial appendage function, thrombus exclusion and percutaneous closure.Clinical research in cardiology : official journal of the German Cardiac Society · 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
- Late migration of a left atrial appendage closure device to the bifurcation of common iliac arteries: a case report and novel percutaneous retrieval technique.BMC cardiovascular disorders · 2026Article
- Thromboembolism in the left atrial appendage under atrial fibrillation and after sinus rhythm restoration: a computational study.Frontiers in bioengineering and biotechnology · 2026Article
- Left atrial appendage morphology and hemodynamics: potential new markers for individualized thromboembolic risk assessment in atrial fibrillation.Frontiers in cardiovascular medicine · 2026Review
- Imaging-defined residual risk after left atrial appendage occlusion: from device surveillance to antithrombotic and reintervention decision considerations.Frontiers in cardiovascular medicine · 2026Review
- Advanced Computer Simulation Based on Cardiac Imaging in Planning of Structural Heart Disease Interventions.Journal of clinical medicine · 2025Review
- 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
- Image-based, whole-system hemodynamic modeling of mitral regurgitation and its impact on the right ventricular function.Frontiers in cardiovascular medicine · 2025Article
- Accurate fully automated assessment of left ventricle, left atrium, and left atrial appendage function from computed tomography using deep learning.European heart journal. Imaging methods and practice · 2024Article
- Left atrial appendage closure for stroke prevention in atrial fibrillation: current status and perspectives.European heart journal · 2024Review
- Left Atrial Appendage Pseudothrombus Is Associated With Stroke History in Patients With Atrial Fibrillation Undergoing Cardiac Computed Tomography.Journal of the American Heart Association · 2024Article
- Article
- A comprehensive stroke risk assessment by combining atrial computational fluid dynamics simulations and functional patient data.Scientific reports · 2024Article
- Slow blood-flow in the left atrial appendage is associated with stroke in atrial fibrillation patients.Heliyon · 2024Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Atrial fibrillation (AF) carries out a 5-fold increase in stroke risk, related to embolization of thrombi clotting in left atrium (LA). Left atrial appendage (LAA) is the site with the highest blood stasis which causes thrombus formation. About 90 % of the intracardiac thrombi in patients with cardioembolic events originally develop in the LAA. Recent studies have been focused on the association between LAA anatomical features and stroke risk and provided conflicting results. Haemodynamic and fluid dynamic information on the LA and mostly on the LAA may improve stroke risk stratification. Therefore, the aim of this study was the design and development of a workflow to quantitatively define the influence of the LAA morphology on LA hemodynamics. Five 3D LA anatomical models, obtained from real clinical data, which were clearly different as regard to LAA morphology were used. For each LAA we identified and computed several parameters describing its geometry. Then, one LA chamber model was chosen and a framework was developed to connect the different LAAs belonging to the other four patients to this model. These new anatomical models represented the computational domain for the computational fluid dynamics (CFD) study; simulations of the hemodynamics within the LA and LAA were performed in order to evaluate the interplay of the LAA shape on the blood flow characteristics in AF condition. CFD simulations were carried out for five cardiac cycles. Blood velocity, vorticity, LAA orifice velocity, residence time computed in the five models were compared and correlated with LAA morphologies. Results showed that not only complex morphologies were characterized by low velocities, low vorticity and consequently could carry a higher thrombogenic risk; even qualitatively simple morphologies showed a thrombogenic risk equal, or even higher, than more complex auricles. CFD results supported the hypothesis that LAA geometric characteristics plays a key-role in defining thromboembolic risk. LAA geometric parameters could be considered, coupled with the morphological characteristics, for a comprehensive evaluation of the regional blood stasis. The proposed procedure might address the development of a tool for patient-specific stroke risk assessment and preventive treatment in AF patients, relying on morpho-functional defintion of each LAA type.
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