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Noninvasive evaluation of excitation abnormalities in patients with ischemic heart disease using magnetocardiography VM. Sosnytskyy 1, TV. Sosnytska 1, GV. Miasnikov 1, LA. Stadnyuk 2 General Military-Medical Clinical Center, Kiev, Ukraine Oxford Cardiomox Ltd, UK P.L. Shupik Medical Academy for Postgraduate Education, Kiev, Ukraine MCG Measurements Background Aim of the study Methods Results Data analysis Conclusions Verification of new magnetocardiography (MCG) signs appears an important aspect for severity assessment of ischemic myocardium damage, ischemic heart disease (IHD) course prognosis, determining of indications for preventive "aggressive" therapy and estimation of its efficacy in patients with IHD and high risk for future ventricular arrhythmias The objective of this research was the investigation of MCG capabilities in evaluation of ischemic myocardial injuries using a new MCG inverse approach for imaging the three-dimensional ventricular activation. Patients (n=62) with IHD diagnosis underwent 9-channel MCG recordings in non-shielded MCG laboratory, yielding 3-D current density mapping during ventricular de- and repolarization. Normal 37 subjects served as Control. Current density vector (CDV) maps were plotted by the magnetic moments method of the "inverse problem solution“ MCG is a quick and easy tool to detect heterogeneity of cardiac action currents density in patients with IHD MCG is a promising procedure for a non-invasive localization of an area of the heart with ischemic myocardial injuries The non-invasive MCG method is able to distinguish healthy subjects and IHD patients with high risk for future ventricular arrhythmias According to the 3-dimensional current desity mapping, patients were divided into 2 sub-groups (with normal (homogeneous) conduction (A) and with delayed conduction (B)). We examined the difference between the sub-groups with respect to clinical characteristics and cardiac function. Obtained data provided evidences about significant differences in values of proposed MCG markers for IHD and Control: D1 (10.4 ± 1.44 vs. 5.0 ± 0.69; p < 0.05); D2 (12.8 ± 1.55 vs. 5.5 ± 1.06; p < 0.05); D4 (15.9 ± 2.89 vs. 5.9 ± 1.18; p < 0.05); Ta-e (105.2 ± 4.06 vs. 90.0 ± 5.05; p < 0.05) ; Delta RT (125.8 ± 11.7 vs. 45.4 ± 6.6; p < 0.05); SumR/SumТ (8.6 ± 0.8 vs. 6.4 ± 0.71; p < 0.001); Delta 80 (61.6 ± 11.4 vs. 36.8 ± 8.92; p < 0.001). Application of discriminatory analysis allowed us to get classification functions, which could be used (with 92% accuracy) to qualify the just examined patient to the investigated categories. Eight MCG markers (D1, D2, D3, D4 - current density vector deviation at 4 ST-T sub-intervals, T a-e - time interval duration from the peak to the end of Т-wave, Delta RT - difference between direction of the maximum current density vector at R and T peaks, SumJ R /SumJ Т - ratio of the global current density at the R-peak to the global current density at the T-peak, Delta 80 - maximum current density vector deviation at 80 ms from the J-point were determined for selected intervals of the cardiac cycle. MCG based indices, namely direction of the largest CDV, current density total sum and maximum value of current density vectors during the cardiac cycle were performed utilizing an automated MCG analysis algorithm The MCG 9-Channel Device ( Oxford Cardiomox Ltd,UK) Temporal and spatial heterogeneity of ventricular activation Normal conduction Delayed conduction A B
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