2018
DOI: 10.1161/circep.117.005705
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New Substrate-Guided Method of Predicting Slow Conducting Isthmuses of Ventricular Tachycardia

Abstract: BACKGROUND:Several conducting channels of ventricular tachycardia (VT) can be identified using voltage limit adjustment (VLA) of substrate mapping. However, the sensitivity or specificity to predict a VT isthmus is not high by using VLA alone. This study aimed to evaluate the efficacy of the combined use of VLA and fast-Fourier transform analysis to predict VT isthmuses. METHODS AND RESULTS:VLA and fast-Fourier transform analyses of local ventricular bipolar electrograms during sinus rhythm were performed in 9… Show more

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Cited by 13 publications
(3 citation statements)
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“…A new method of analyzing frequency has been reported as a technique for discriminating characteristics other than visual potential characteristics, such as intracardiac voltage and late potentials in abnormal areas. 1072 , 1073 …”
Section: Catheter Ablationmentioning
confidence: 99%
“…A new method of analyzing frequency has been reported as a technique for discriminating characteristics other than visual potential characteristics, such as intracardiac voltage and late potentials in abnormal areas. 1072 , 1073 …”
Section: Catheter Ablationmentioning
confidence: 99%
“…Traditional methods include voltage- and EGM-based approaches like late potential and local abnormal ventricular activity mapping. 9 More recently, functional substrate mapping approaches aiming to identify zones of deceleration 10 and decremental conduction by means of various protocols 11 or rotational activity at baseline rhythm, 12 frequency-based mapping techniques, 13 and purely imaging-guided ablation 14 have gained popularity in an effort to minimize the need for VT induction associated with a risk of hemodynamic compromise and requirement for cardioversion.…”
Section: Discussionmentioning
confidence: 99%
“…Specifically, during substrate-guided mapping, bipolar electrograms (EGMs) recorded from damaged myocardial areas are carefully inspected by electrophysiologists, in order to identify those late and fractionated pathological deflections associated with arrhythmogenic areas. These pathological potentials, generally named abnormal ventricular potentials (AVPs), have been often associated with high-frequency components in the scientific literature [3]- [7], and more recently, their spectral contents have been deeply investigated [8], highlighting the presence of peculiar spectral signatures for AVPs. However, there is no evidence that such spectral signatures may be effective for the automatic recognition of AVPs and physiological EGMs, despite the usefulness of artificial intelligence tools for the recognition of arrhythmogenic zones in patients suffering from postischaemic VT has been already investigated [9], [10].…”
Section: Introductionmentioning
confidence: 99%