AF Symposium 2017
‘3D Virtual Heart’ Predicts Location of Rotors
You may recall my 2015 report about Dr. Natalia Trayanova of Johns Hopkins University, Baltimore, MD and her ground breaking presentation on the “Virtual Heart”.

2015: “Virtual Heart” image
Her 2017 presentation was a continuation of her innovative research, this time about A-Fib rotors and fibrosis.
The Virtual Heart is a computerized model to simulate an individual patient’s heart that can be used to guide an individual patient’s therapy.
Dr. Trayanova constructed three-dimensional computer models of A-Fib atria from MRI data and assessed the propensity of each model to develop arrhythmia.
She found that reentrant drivers (rotors) persisted in areas of higher fibrosis density and entropy (lack of order or predictability). They didn’t persist in regions of non-fibrotic sites and regions of deep fibrosis.


Dr. Trayanova compared the predictive ability of her models to actual ECGI mapping cases from the Bordeaux group. Overall, her prediction of where rotors would be found coincided with where rotors were actually found by ECGI.
But there wasn’t 100% agreement with the ECGI data. She hypothesized that, as she further develops these virtual heart models, they might someday be used, along with ECGI and other mapping strategies, to look for rotors where her models predict they should be found.
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