Coronary artery disease (CAD) is the leading cause of death in patients with diabetes. Patients with diabetes are known to have silent myocardial ischemia more frequently than those without diabetes. Furthermore, CAD in patients with diabetes frequently manifested in advance stage, and morbidity and mortality are higher than those without diabetes. Early screening and treatment of CAD in asymptomatic patients with diabetes might reduce high morbidity and mortality.

Myocardial perfusion single photon emission computerized tomography (SPECT) is known as a gold standard method in detecting silent myocardial ischemia in asymptomatic patients with diabetes. Despite of the power of detecting myocardial ischemia functionally, there are limitations of SPECT in diagnosing subclinical coronary atherosclerosis anatomically. In recent advance in technology, coronary CT angiography (CTA) could detect subclinical coronary atherosclerosis. However, there is a paucity of information comparing the diagnostic power between SPECT and CTA.

Therefore in our study, we compare the difference of diagnostic efficiency between coronary CT angiography and myocardial perfusion single photon emission computerized tomography in asymptomatic patients with type 2 diabetes mellitus.

In this study, we will recruit asymptomatic patients with diabetes. At the time of enrollment, all patients will undergo two imaging studies (SPECT and CTA) within a few days apart. When patients had positive result in either study, they will undergo coronary angiography for confirmation. We will evaluate the results of two studies comparing with coronary angiography.

When the patients are eligible for study, investigators will give information about the study and obtain written consent. The presence of chest pain symptom will be screened with Rose questionnaire. Medical history and physical examination will be performed, and baseline laboratory work-up will be performed. Investigators will evaluate the status of diabetic complication (retinopathy/nephropathy/cardiac autonomic neuropathy).