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SMART Identification of Ventricular Tachycardia Isthmus

Central Hospital, Nancy, France · 2018
ClinicalTrials.gov · Datasets · License: Public Domain · 2018
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Context : Ventricular tachycardia (VT) are serious heart rhythm disorders which can lead to sudden death. A curative treatment for these abnormalities in the cardiac electrical conduction system is possible through an interventional electrophysiology procedure. A catheter is inserted, generally via a femoral access, and is introduced in the heart ventricles in order to collect various 3D electro-anatomical maps. The pace-mapping technique developed in Nancy (de Chillou et al, Heart Rhythm 2014) allows the reentrant circuit underlying the VT to be identified, as well as a definition of the target zones to be ablated, using radiofrequency energy with the catheter. The pace-mapping technique consists of stimulating the ventricle from various sites within its internal surface, in order to generate different activation pathways of the myocardium. When an activation pathway is similar to the VT pathway, this means that the stimulation site is located near the pathologic zone to be ablated. The surface electrocardiogram (ECG) is used to compare activation pathways. A 3D correlation ma is then generated: the zones with high correlation (\>90%) indicated the exit of the reentrant circuit, while rapid transition zones (several %/mm) indicate the entrance of the VT circuit. The pace-mapping technique has several limitations: (i) it requires an ECG recording of the clinical VT of the patient (spontaneous or induced at the beginning of the procedure), however it is not always possible to induce it; (ii) sometimes several VT circuits may be present, rendering the procedure of identification and ablation non-exhaustive. The aim of this study is to analyze retrospectively electroanatomical data collected during the intervention, in order to develop a new method for identifying target zones to be ablated, and to compare the results with the conventionally used method. Hypothesis : The investigators hypothesize that alternative methods to analyze electroanatomical data (surface
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