Key result
The Personalized Inverse Eikonal Model from cardiac Electro-Anatomical Maps successfully reconstructed left atrial electrical conductivity from sparse recordings (r > 0.93 in 7 of 9 patients).
Why the study?
Intracardiac recordings of atrial activation can convey direction-dependent and heterogeneous conduction, but typically require high-quality data; the authors sought to evaluate whether a patient-specific approach enables assessment using scarce, noisy, and incomplete data.
Can the PIEMAP model accurately reconstruct left atrial activation and conduction properties from sparse intracardiac contact recordings in patients undergoing ablation?
Observational (n=9)
Can the PIEMAP model accurately reconstruct left atrial activation and conduction properties from sparse intracardiac contact recordings in patients undergoing ablation?
The PIEMAP model can accurately reconstruct left atrial activation and assess conduction properties from sparse intracardiac recordings, potentially enhancing existing electro-anatomic mapping systems.
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May reduce dense mapping needs in left atrium; leaves open prospective validation for clinical use.
Lubrecht et al. (2020) conducted an observational in Patients undergoing ablation therapy and pulmonary vein isolation (n=9). Personalized Inverse Eikonal Model from cardiac Electro-Anatomical Maps (PIEMAP) was evaluated on Cross-validation of reconstructed electrical conductivity with respect to measurements. The Personalized Inverse Eikonal Model from cardiac Electro-Anatomical Maps successfully reconstructed left atrial electrical conductivity from sparse recordings (r > 0.93 in 7 of 9 patients).
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