Background: Cardiovascular diseases are among the leading causes of mortality worldwide, accounting for over 30% of deaths in developed countries. Various imaging techniques have been developed to diagnose the pathology of these diseases. Objective: This study aimed to evaluate the diagnostic value of myocardial perfusion scan (MPI) for detecting coronary artery disease (CAD) as compared to coronary angiography in Ardabil city during the years 2021-2022. Methods:In this cross-sectional descriptive study, information of 101 patients including demographic information, angiographic findings (extent of coronary artery involvement in one, two, or three vessels), and myocardial perfusion scan results were collected retrospectively from medical records. Given that the maples were used in a paired manner to evaluate both methods, the McNemar statistical test was used to examine the relationship between the two methods and measure the significance of the calculated kappa.The p<0.05 was considered as asignificant.
Results: Sensitivity, accuracy, positive predictive value, and negative predictive value of MPI in diagnosing CAD were 88.7%, 75%, 81.6%, and 35.7%, respectively. For the left anterior descending artery (LAD), these values were 88.6%, 74.3%, 69%, and 82%; for the left circumflex artery (LCX), 84%, 81%, 76%, and 86%; and for the right coronary artery (RCA), 77%, 76%, 74%, and 78%. Conclusion: The findings suggest that myocardial perfusion scan is a reasonably accurate and valuable diagnostic tool for coronary artery disease and can be used effectively alongside angiography.