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Assessment of local high-density mapping for the analysis of radiofrequency ablation lesions in the left atrium
Assessment of local high-density mapping for the analysis of radiofrequency ablation lesions in the left atrium
- Source :
- Current Directions in Biomedical Engineering, Vol 3, Iss 2, Pp 109-112 (2017)
- Publication Year :
- 2017
- Publisher :
- De Gruyter, 2017.
-
Abstract
- Recent studies about the development of endocardial radiofrequency (RF) ablation lesions (ALs) tried to identify reliable electrogram (EGM) markers for assessment of lesion transmurality. Additional clinically relevant information for physicians can be provided by examining endocardial EGM parameters like signal morphology, amplitude or time points in the signal. We investigated EGM features of the pulmonary vein ostia before and after RF ablation for three point-shaped lesions. Using high-density (HD) mapping, local activation time (LAT) and voltage maps were created, which provided information about the RF ALs regarding the lesion size and showed activation time delay as well as low-voltage areas with bipolar peak-to-peak voltages smaller than 2mV. The time delay of the depolarization front comparing the activation times anterior and posterior to the RF AL was up to 51.5 ms. In a circular area with 5mm radius around an RF AL the mean peak-to-peak voltage decreased by 62-94% to about 0.12-0.44mV and the mean maximal absolute EGM derivative was reduced by 65-96 %. Comparing the results of this study with EGMs of similar clinical settings confirmed our expectations regarding the low-voltage areas caused by the ablation procedure. An improved understanding of the electrophysiological changes is of fundamental importance to provide more information for enhanced RF ablation assessment.
Details
- Language :
- English
- ISSN :
- 23645504
- Volume :
- 3
- Issue :
- 2
- Database :
- Directory of Open Access Journals
- Journal :
- Current Directions in Biomedical Engineering
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.9550811af406cb0549363053cab06
- Document Type :
- article
- Full Text :
- https://doi.org/10.1515/cdbme-2017-0176