AI Summary & Key Takeaways
AI InsightThe ROC analysis provided a cut-off value of 80.4% for postMPS probability in predicting CAS with 67.9% sensitivity and 77.8% specificity.Conclusion: When the post-MPS probability is >=80% in patients who have reversible perfusion defects on MPS, we suggest interpreting the MPS as "high probability positive" to improve the selection of true-positive patients to undergo CA, and these patients should be primarily recommended CA.
📌 3 Key Takeaways
Abstract
Objective: Myocardial perfusion scintigraphy (MPS) is a diagnostic test which is frequently used in the diagnosis of coronary heart disease (CHD). MPS is generally interpreted as ischemia present or absent; however, it has a power in predicting the disease, similar to other diagnostic tests. In this study, we aimed to assist in directing the high-risk patients to undergo coronary angiography (CA) primarily by evaluating patients without prior CHD history with pre-test and post-test probabilities. Methods: The study was designed as a retrospective study. Between January 2008 and July 2011, 139 patients with positive MPS results and followed by CA recently (<6 months) were evaluated from patient files. Patients' pre-test probabilities based on the Diamond and Forrester method and the likelihood ratios that were obtained from the literature were used to calculate the patients' post-exercise and post-MPS probabilities. Patients were evaluated in risk groups as low, intermediate, and high, and an ROC curve analysis was performed for the post-MPS probabilities.Results: Coronary artery stenosis (CAS) was determined in 59 patients (42.4%). A significant difference was determined between the risk groups according to CAS, both for the pre-test and post-test probabilities (p<0.001, p=0.024). The ROC analysis provided a cut-off value of 80.4% for postMPS probability in predicting CAS with 67.9% sensitivity and 77.8% specificity.Conclusion: When the post-MPS probability is >=80% in patients who have reversible perfusion defects on MPS, we suggest interpreting the MPS as "high probability positive" to improve the selection of true-positive patients to undergo CA, and these patients should be primarily recommended CA.