Objective:To explore the clinical value of adenosine stress myocardial contrast echocardiography in detecting myocardial blood perfusion abnormalities in patients with type 2 diabetes mellitus.Methods:Twenty-six patients with type 2 diabetes mellitus clinically diagnosed from May 2019 to January 2020 in the endocrinology department of Fuwai Central China Cardiovascular Hospital and 28 healthy examinees with gender and age matched during the same period were enrolled. Routine echocardiography, rest and adenosine stress myocardial contrast echocardiography were performed, the plateau signal intensity(A value), curve rising slope(K value) and A×K value of the myocardial perfusion time-intensity curve were obtained by offline analysis. And general data such as age, gender, disease course, body mass index and glycated hemoglobin were collected, and results of the two groups were compared statistically.Results:In the rest state, the A value of the myocardial perfusion parameter in the diabetic group was not significantly different from that of the control group, both in whole and in segments ( P>0.05), while the K value and A×K value of the myocardial perfusion parameters in the diabetic group were significantly lower than those in the control group ( P<0.05). In the stress state, the A value, K value and A×K value of myocardial perfusion parameters in the diabetic group were significantly lower than those in the control group, both in whole and in segments ( P<0.05). The detection rate of myocardial perfusion abnormality in the stress state was significantly higher than that in the rest state, and the difference was statistically significant ( P<0.05). The myocardial blood flow reserve in the diabetic group was negatively correlated with the course of disease and the level of glycated hemoglobin ( r=-0.580, P=0.020; r=-0.481, P=0.013). Conclusions:Adenosine stress myocardial contrast echocardiography can be used for detection of left ventricular myocardial perfusion abnormalities in patients with type 2 diabetes mellitus, which has great clinical application value.