Arrhythmogenic vulnerability of reentrant pathways in post-infarct ventricular tachycardia assessed by advanced computational modelling

Article Cardiac & Cardiovascular Systems

Scar conducting channel characterization to predict arrhythmogenicity during ventricular tachycardia ablation

Paula Sanchez-Somonte et al.

Summary: This study found that heterogeneous tissue channels (HTCs) detected by late gadolinium enhancement cardiac magnetic resonance (LGE-CMR) are related to ventricular arrhythmias. The arrhythmogenic HTCs were longer, had greater mass, higher degree of protectedness, higher transmurality, and more ramifications than non-arrhythmogenic HTCs. Protectedness was identified as the strongest predictor of arrhythmogenicity.

EUROPACE (2023)

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Article Cardiac & Cardiovascular Systems

High-resolution structural-functional substrate-trigger characterization: Future roadmap for catheter ablation of ventricular tachycardia

Job Stoks et al.

Summary: This study developed a personalized 3D model that integrates high-resolution structural and electrical information to improve the recognition of VT substrate and guide catheter ablation in patients with ventricular tachyarrhythmias. By incorporating various medical imaging and electrophysiological data, the model accurately locates the lesion area and provides guidance for radiofrequency ablation, effectively treating ventricular tachyarrhythmias.

FRONTIERS IN CARDIOVASCULAR MEDICINE (2023)

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Article Cardiac & Cardiovascular Systems

Arrhythmogenic vulnerability of re-entrant pathways in post-infarct ventricular tachycardia assessed by advanced computational modelling

Pranav Bhagirath et al.

Summary: This study evaluated the performance of a novel automated algorithm to non-invasively predict VT circuit and inducibility. The results showed that the algorithm can robustly assess VT substrate complexity.

EUROPACE (2023)

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Article Cardiac & Cardiovascular Systems

Cardiac computational modelling

Jean R. Bragard et al.

Summary: Cardiovascular diseases are a major social and economic issue, and personalized computational models of the heart are useful for understanding cardiac disease mechanisms, optimizing treatment, and predicting patient responses. The VHeart-SN network aims to develop an integrated, modular and multiscale computational model of the heart to advance knowledge of cardiac disease mechanisms and support personalized therapy applications.

REVISTA ESPANOLA DE CARDIOLOGIA (2021)

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Article Multidisciplinary Sciences

Time-efficient three-dimensional transmural scar assessment provides relevant substrate characterization for ventricular tachycardia features and long-term recurrences in ischemic cardiomyopathy

Susana Merino-Caviedes et al.

Summary: This study validated a novel 3D methodology to assess ventricular scar using custom transmural criteria, showing that 3D-upsampled models from 2D LGE-CMR images provide a time-efficient alternative to 3D-acquired sequences. The results suggest that this novel methodology may represent an efficient approach in clinical practice for evaluating myocardial substrate associated with ischemic cardiomyopathy.

SCIENTIFIC REPORTS (2021)

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Article Cardiac & Cardiovascular Systems