2015
DOI: 10.1016/j.hrthm.2015.04.004
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Differentiating the origin of outflow tract ventricular arrhythmia using a simple, novel approach

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Cited by 25 publications
(25 citation statements)
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“…All four cases of VA misclassified by the automated analysis originated at sites immediately bordering on the other cardiac chamber. This is in line with prior studies indicating that VAs originating from the septum of the outflow tracts are likewise commonly misclassified by other algorithms since they might have exits at both sides . Whether photographic documentation and integration of the actual precordial lead positions or a comparison between the QRS morphology of intrinsically conducted beats and PVCs for the given electrode positions could further increase the accuracy of the automated algorithm will have to be assessed in further studies.…”
Section: Discussionsupporting
confidence: 80%
“…All four cases of VA misclassified by the automated analysis originated at sites immediately bordering on the other cardiac chamber. This is in line with prior studies indicating that VAs originating from the septum of the outflow tracts are likewise commonly misclassified by other algorithms since they might have exits at both sides . Whether photographic documentation and integration of the actual precordial lead positions or a comparison between the QRS morphology of intrinsically conducted beats and PVCs for the given electrode positions could further increase the accuracy of the automated algorithm will have to be assessed in further studies.…”
Section: Discussionsupporting
confidence: 80%
“…The depolarization polarity is different in patients with ACC‐VA and RVOT‐VA. In the study by Efimova et al., they measured the interval from the QRS onset to the electrogram placed in the right ventricle apex (RVA) and found that ACC‐VA tend to have a longer QRS‐RVA interval than the RVOT‐VA. In the study by Nakano et al., they found that the synthesized right‐sided chest leads (V3R‐V5R) are useful in differentiating the ACC‐VA from the RVOT‐VA.…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, through analyzing the features of ECG, an accurate prediction of the OT-VA origins before the procedure can optimize the ablation result, reduce ablation duration, and avoid eventual operative complications. In fact, numerous studies [3][4][5][6][7][8][9][10][11] have already revealed a strong relationship between the characteristics of ECG and the sites (RVOT or LVOT) where OT-VA stems from.…”
Section: Background and Summarymentioning
confidence: 99%
“…Label selection. The available sites classification studies listed in 3,[5][6][7][8][9][10][11] were designed to distinguish LVOT and RVOT per patient. However, the sub locations under RVOT or LVOT are also important from a clinical prospective.…”
Section: Technical Validationmentioning
confidence: 99%