Why the study?
Micro-anatomical reentry is a potential driver of AF, but identifying these micro-reentrant circuits clinically is difficult.
Does a spatial network representation of atrial fibre maps identify locations susceptible to micro-anatomical reentry in atrial models?
Population
Image-based models of atria
Comparison
Image-based models with vs without atrial fibre structure
Design
Computational simulation study
Authors
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Identifies fibrosis-susceptible atrial regions for micro-reentry; leaves open clinical utility pending prospective validation.
Does a spatial network representation of atrial fibre maps identify locations susceptible to micro-anatomical reentry in atrial models?
A novel computational spatial network approach demonstrates that atrial wall thickness and muscle fibre alignment are key determinants of where micro-reentrant circuits are likely to form, offering potential for future patient-specific AF risk stratification.
Falkenberg et al. (2021) studied this question.
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