USABILITY OF SATRO-ECG HEART BIOELECTRICAL SIGNAL ANALYSIS AND ITS COMPARISON WITH SPECT
Introduction: The most commonly applied method that helps in coronary heart disease (CHD) diagnosis is 12 lead standard ECG. However, the both: currently used criteria and issues in interpretation of the results, lead to limited diagnostic value of this method. Any improvement in ECG examination requires considerable extension of currently applied electric signals’ analysis.
Therefore, in this communication a novel model (SFHAM) of heart activity is exploited. Our main aim is to assess the effectiveness of SATRO-ECG method in CHD diagnosis, and compare it with myocardial perfusion scintigraphy Tc99mSPECT (SPECT).
Material and methods: SATRO-ECG method is based on electric activity heart model, (SFHAM) for which some effective fibers representing particular segments of left ventricle were defined. For each fiber, propagation of depolarization wave was defined on the basis of dynamics of charge flows processes.
For a group of 243 subjects (75 female and 168 male, average age 56±9 years) supposed to have CHD, standard rest ECG, and SPECT examinations were performed. Then, with use of SATRO-ECG method, parameters describing electric activity of various segments of the left ventricle were calculated on basis of ECG results. For further analysis 236 uniquely diagnosed patients, were qualified.
Results: Positive results for CHD were obtained for: 229 subjects (97%) with use of SATRO-ECG and 226 (96%) subjects with use of SPECT. Sensitivity of SATRO-ECG in CHD diagnosing was 100% and specificity 70%, whereas predictive values of the positive and negative results were 98% and 100%, respectively. Moreover, statistical kappa Cohen test showed that statistical correlation between SATRO-ECG and SPECT methods (k=0.800, p<0.0001) exists. Such correlations are not detected when SPECT was compared with standard ECG (k = 0.055, p = 0.031) and ECG-S (k = 0.018, p = 0.294).
Conclusion: SATRO-ECG examination seems to be more useful in perfusion defects diagnosis recognized with use of SPECT method, as compared with rest and stress ECG.