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Data for: Prediction of Atypical Left Atrial Flutter

Description:

Abstract from Paper (Lange et. al, 2022): Atypical atrial flutter is seen post-ablation in patients, and it can be challenging to map. These flutters are typically set up around areas of scar in the left atrium. MRI can reliably identify left atrial scar. We propose a personalized computational model using patient specific scar information, to generate a monodomain model. In the model conductivities are adjusted for different tissue regions and flutter was induced with a premature pacing protocol. The model was tested prospectively in patients undergoing atypical flutter ablation. The simulation-predicted flutters were visualized and presented to clinicians. Validation of the computational model was motivated by recording from electroanatomical mapping. These personalized models successfully predicted clinically observed atypical flutter circuits and at times even better than invasive maps leading to flutter termination at isthmus sites predicted by the model.

Keyword:

Biomedical Engineering, Computer Simulation, and Atrial Flutter

Subject:

Biomedical Engineering

Creator:

Lange, Matthias, Dosdall, Derek J., Kwan, Eugene, MacLeod, Rob S., Bunch,T. Jared, and Ranjan, Ravi

Owner:

Matthias Lange

Based Near Label Tesim:

Salt Lake City, Utah, United States

Language:

English

Date Uploaded:

06/10/2023

Date Modified:

11/28/2023

Date Created:

2020-01-01 to 2022-12-31

License:

CC BY – Allows others to use and share your data, even commercially, with attribution.

Resource Type:

Dataset

Identifier:

https://toi.lib.utah.edu/resolve/10.7278/S50d-fdna-tekm

Data for: Prediction of Atypical Left Atrial Flutter

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