Key result
In a swine model of myocardial infarction, noninvasive electrocardiographic imaging features were significantly associated with cardiac magnetic resonance-identified scar tissue types (p < 1e-10).
Why the study?
Invasive catheter mapping struggles to map unstable scar-related VT circuits, and while ECGi offers a noninvasive approach for rapid mapping, its validation in scar-related VT remains challenging.
Does electrocardiographic imaging (ECGi) correlate with LGE-CMR scar data in identifying circuits for scar-related ventricular tachycardia?
Comparison
ECGi results integrated and compared with LGE-cMR scar data
Authors
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Hypothesis-generating for ECGi in scar-related VT mapping; human validation required before clinical consideration.
Does electrocardiographic imaging (ECGi) correlate with LGE-CMR scar data in identifying circuits for scar-related ventricular tachycardia?
p-value: p=<1e-10
ECGi features show quantitative and qualitative associations with LGE-CMR scar data, suggesting potential for noninvasive mapping of unstable scar-related ventricular tachycardia.
Gharbia et al. (2018) studied Scar-related ventricular tachycardia (n=8). Electrocardiographic imaging (ECGi) vs. Late gadolinium enhanced cardiac magnetic resonance imaging (LGE-CMR) was evaluated on Association between ECGi features (voltage and duration) and CMR tissue types (p=<1e-10). In a swine model of myocardial infarction, noninvasive electrocardiographic imaging features were significantly associated with cardiac magnetic resonance-identified scar tissue types (p < 1e-10).
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