4.4 Article

Comparing Inducibility of Re-Entrant Arrhythmia in Patient-Specific Computational Models to Clinical Atrial Fibrillation Phenotypes

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Cardiac & Cardiovascular Systems

Predicting Atrial Fibrillation Recurrence by Combining Population Data and Virtual Cohorts of Patient-Specific Left Atrial Models

Caroline H. Roney et al.

Summary: This study successfully predicted long-term atrial fibrillation recurrence in patients undergoing ablation by combining machine learning and biophysical simulations. Training classifiers with features from patient history, imaging, and atrial fibrillation simulation metrics improved prediction accuracy.

CIRCULATION-ARRHYTHMIA AND ELECTROPHYSIOLOGY (2022)

Article Cardiac & Cardiovascular Systems

Critical appraisal of technologies to assess electrical activity during atrial fibrillation: a position paper from the European Heart Rhythm Association and European Society of Cardiology Working Group on eCardiology in collaboration with the Heart Rhythm Society, Asia Pacific Heart Rhythm Society, Latin American Heart Rhythm Society and Computing in Cardiology

Natasja M. S. de Groot et al.

Summary: This article provides a critical appraisal of signal recording and processing technologies applied for atrial fibrillation mapping and detection. Current technologies have limitations and are mainly restricted to specific applications. It highlights the importance of improving signal processing and anticipates future enhancements and automation.

EUROPACE (2022)

Review Cardiac & Cardiovascular Systems

Fibrosis, atrial fibrillation and stroke: clinical updates and emerging mechanistic models

Patrick M. Boyle et al.

Summary: Currently, stroke risk assessment and mitigation in patients with atrial fibrillation are focused on clinical risk factors, with atrial fibrosis emerging as a unifying mechanism for both arrhythmia and thrombus formation. In patients with embolic stroke of undetermined source (ESUS), fibrosis is increasingly recognized as a major risk factor, although the underlying mechanism of this correlation remains unclear. Computational models are promising in identifying therapeutic targets and improving understanding of thrombus formation and arrhythmia induction in these patients.
Review Cardiac & Cardiovascular Systems

Translational applications of computational modelling for patients with cardiac arrhythmias

Savannah F. Bifulco et al.

Summary: Computational modelling and simulation approaches have the potential to improve the standard-of-care therapy for cardiac arrhythmia by providing a deeper understanding of complex disease processes and offering personalized treatment plans. Recent advancements in computational cardiology, such as organ-scale models generated from clinical imaging data, highlight the potential for personalized treatment and risk estimation. This review also discusses future developments in computational cardiology aimed at improving patient-specific therapy through enhanced understanding of arrhythmia mechanisms.
Article Cardiac & Cardiovascular Systems

Efficacy of LGE-MRI-guided fibrosis ablation versus conventional catheter ablation of atrial fibrillation: The DECAAF II trial: Study design

Nassir F. Marrouche et al.

Summary: The DECAAF II trial is a prospective, randomized, multicenter trial assessing the safety and efficacy of targeting atrial fibrosis during ablation of persistent AF patients. With 900 patients enrolled, the study aims to define the optimal approach to catheter ablation of persistent AF and identify influencers of ablation lesion formation.

JOURNAL OF CARDIOVASCULAR ELECTROPHYSIOLOGY (2021)

Article Biology

Computational modeling identifies embolic stroke of undetermined source patients with potential arrhythmic substrate

Savannah F. Bifulco et al.

Summary: Using computational modeling, researchers found that despite the presence of potentially arrhythmogenic fibrosis in ESUS patients, the intrinsic properties of fibrosis in ESUS and AFib are indistinguishable, suggesting that some ESUS patients may have latent pre-clinical fibrotic substrate that could be a future source of arrhythmogenicity. This indicates that ESUS patients with fibrotic atria may be spared from AFib due to a lack of arrhythmia triggers.
Article Cardiac & Cardiovascular Systems

Combination of Circulating Type I Collagen-Related Biomarkers Is Associated With Atrial Fibrillation

Susana Ravassa et al.

JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY (2019)

Article Computer Science, Interdisciplinary Applications

The REDCap consortium: Building an international community of software platform partners

Paul A. Harris et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2019)

Article Cardiac & Cardiovascular Systems

Late Gadolinium Enhancement Magnetic Resonance Imaging Guided Treatment of Post-Atrial Fibrillation Ablation Recurrent Arrhythmia

Franziska Fochler et al.

CIRCULATION-ARRHYTHMIA AND ELECTROPHYSIOLOGY (2019)

Article Engineering, Biomedical

Computationally guided personalized targeted ablation of persistent atrial fibrillation

Patrick M. Boyle et al.

NATURE BIOMEDICAL ENGINEERING (2019)

Article Cardiac & Cardiovascular Systems

New insights on the cardiac safety factor: Unraveling the relationship between conduction velocity and robustness of propagation

Patrick M. Boyle et al.

JOURNAL OF MOLECULAR AND CELLULAR CARDIOLOGY (2019)

Article Biology

Regional conduction velocity calculation electrograms in human atria

Bhawna Verma et al.

COMPUTERS IN BIOLOGY AND MEDICINE (2018)

Article Cardiac & Cardiovascular Systems

TGF-1 (Transforming Growth Factor-1) Plays a Pivotal Role in Cardiac Myofibroblast Arrhythmogenicity

Nicolo Salvarani et al.

CIRCULATION-ARRHYTHMIA AND ELECTROPHYSIOLOGY (2017)

Review Cardiac & Cardiovascular Systems

Cardiac adipose tissue and atrial fibrillation: the perils of adiposity

Stephane N. Hatem et al.

CARDIOVASCULAR RESEARCH (2016)

Article Cardiac & Cardiovascular Systems

Patient-derived models link re-entrant driver localization in atrial fibrillation to fibrosis spatial pattern

Sohail Zahid et al.

CARDIOVASCULAR RESEARCH (2016)

Article Cardiac & Cardiovascular Systems

Association of Left Atrial Local Conduction Velocity With Late Gadolinium Enhancement on Cardiac Magnetic Resonance in Patients With Atrial Fibrillation

Kotaro Fukumoto et al.

CIRCULATION-ARRHYTHMIA AND ELECTROPHYSIOLOGY (2016)

Article Cardiac & Cardiovascular Systems

MRI Assessment of Ablation-Induced Scarring in Atrial Fibrillation: Analysis from the DECAAF Study

Nazem Akoum et al.

JOURNAL OF CARDIOVASCULAR ELECTROPHYSIOLOGY (2015)

Article Cardiac & Cardiovascular Systems

Electrophysiological, Electroanatomical, and Structural Remodeling of the Atria as Consequences of Sustained Obesity

Rajiv Mahajan et al.

JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY (2015)

Article Cardiac & Cardiovascular Systems

Driver Domains in Persistent Atrial Fibrillation

Michel Haissaguerre et al.

CIRCULATION (2014)

Article Medicine, General & Internal

Association of Atrial Tissue Fibrosis Identified by Delayed Enhancement MRI and Atrial Fibrillation Catheter Ablation The DECAAF Study

Nassir F. Marrouche et al.

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2014)

Review Cardiac & Cardiovascular Systems

Atrial Remodeling and Atrial Fibrillation

Stanley Nattel et al.

JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY (2014)

Article Physiology

Long-term modulation of Na+ and K+ channels by TGF-β1 in neonatal rat cardiac myocytes

Roberto Ramos-Mondragon et al.

PFLUGERS ARCHIV-EUROPEAN JOURNAL OF PHYSIOLOGY (2011)

Article Computer Science, Interdisciplinary Applications

Research electronic data capture (REDCap)-A metadata-driven methodology and workflow process for providing translational research informatics support

Paul A. Harris et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2009)

Review Cardiac & Cardiovascular Systems

Mechanisms of atrial fibrillation: Lessons from animal models

S Nattel et al.

PROGRESS IN CARDIOVASCULAR DISEASES (2005)