Dataset Information

Novel mapping algorithm during catheter ablation for ventricular parasystole originating from left anterior fascicle.

ABSTRACT: A 17-year-old woman presented with frequent palpitations and shortness of breath and was diagnosed with drug-refractory ventricular parasystole. We predicted that the parasystole originated from the left anterior fascicle (LAF). Detailed activation maps of both conduction systems, including the LAF, during sinus rhythm and ventricular parasystole were obtained using a parallel mapping system. We confirmed the earliest fascicular potential of the parasystole and performed catheter ablation with no complications. This novel mapping algorithm for simultaneous acquisition of multiple maps aided effective treatment of ventricular parasystole originating from the LAF.

SUBMITTER: Kawajiri K

PROVIDER: S-EPMC7411214 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Novel mapping algorithm during catheter ablation for ventricular parasystole originating from left anterior fascicle.

Kawajiri Kohei K Kitamura Takeshi T Hojo Rintaro R Fukamizu Seiji S

Journal of arrhythmia 20200706 4

A 17-year-old woman presented with frequent palpitations and shortness of breath and was diagnosed with drug-refractory ventricular parasystole. We predicted that the parasystole originated from the left anterior fascicle (LAF). Detailed activation maps of both conduction systems, including the LAF, during sinus rhythm and ventricular parasystole were obtained using a parallel mapping system. We confirmed the earliest fascicular potential of the parasystole and performed catheter ablation with n ...[more]

PMID: 32782654

Similar Datasets

Project description:BackgroundRecent advancements in a 3-dimensional mapping system allow for the assessment of detailed conduction properties during sinus rhythm and thus the establishment of a strategy targeting functionally abnormal regions in scar-related ventricular tachycardia (VT). We hypothesized that a rotational activation pattern (RAP) observed in maps during baseline rhythm was associated with the critical location of VT.MethodsWe retrospectively examined the pattern of wavefront propagation during sinus rhythm in patients with scar-related VT. The prevalence and features of the RAP on critical VT circuits were analyzed. RAP was defined as >90° of inward curvature directly above or at the edge of the slow conductive areas.ResultsForty-five VTs in 37 patients (66±15 years old, 89% male, 27% ischemic heart disease) were evaluated. High-density substrate mapping during sinus rhythm (median, 2524 points) was performed using the CARTO3 system before VT induction. Critical sites for reentry were identified by direct termination by radiofrequency catheter ablation in 21 VTs or by pace mapping in 12 VTs. Among them, RAP was present in 70% of the 33 VTs. Four VTs had no RAP at the critical sites during sinus rhythm, but it became visible in the mappings with different wavefront directions. Six VTs, in which intramural or epicardial isthmus was suspected, were rendered noninducible by radiofrequency catheter ablation to the endocardial surface without RAP. RAP had a sensitivity and specificity of 70% and 89%, respectively, for predicting the elements in the critical zone for VT.ConclusionsThe critical zone of VT appears to correspond to an area characterized by the RAP with slow conduction during sinus rhythm, which facilitates targeting areas specific for reentry. However, this may not be applicable to intramural VT substrates and might be affected by the direction of wavefront propagation to the scar during mapping. Graphic Abstract: A graphic abstract is available for this article.

Dataset Information

Novel mapping algorithm during catheter ablation for ventricular parasystole originating from left anterior fascicle.

Publications

Novel mapping algorithm during catheter ablation for ventricular parasystole originating from left anterior fascicle.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets