Correlation between Baseline Electrocardiography Findings and Myocardial Perfusion SPECT Images for Evaluation of Coronary Artery Disease

Background: Coronary Artery Disease (CAD) is one of the most common cardiac disorders and is one of the major causes of mortality in developed countries. Knowing the relationship between abnormal findings in the baseline electrocardiography (ECG) and myocardial perfusion imaging scan (MPI) findings can be helpful. Hence, the aim of this study Correlation between baseline ECG findings and MPI-SPECT images for evaluation of CAD.Materials and methods: In this retrospective study, ECG of 230 patients with suspected CAD undergoing myocardial perfusion scans was analyzed. All patients with bundle branch blocks and history of MI and coronary bypass or angiography were excluded. The correlation between ECG findings and MPI quantitative and semi-quantitative was evaluated. The collected data were analyzed by SPSS-24 statistical software.Results: Of 230 cases, 92 patients (40.0%) had normal ECG, 86 patients (37.4%); ST-T inversion and 52 patients (22.6%); fQRS-Q complex. In total, 77 patients (33.5%) had positive MPI scan. 32 patients (61.5%) in the fQRS-Q subgroup had abnormal MPI scan, while, 68 patients (75.6%) were in the normal ECG subgroup and 65 patients (73.9%) in the ST-T inversion subgroup had normal MPI scan. There were significant differences between the subgroups with respect to all three variables of SSS (P <0.001), SRS (P <0.001) and SDS (P <0.001), and there was a significant difference in terms of TPDR (P <0.001).Conclusion: The results of this study showed that the frequency of ECG abnormalities in patients with myocardial ischemia was higher. On this basis, it can be said that ECG abnormalities are consistent with the positive findings of MPI scan.

Correlation between Baseline Electrocardiography Findings and Myocardial Perfusion SPECT Images for Evaluation of Coronary Artery Disease Keywords:

Electrocardiography , Myocardial Perfusion Imaging , Coronary Artery Disease