Dynamic detection of surface blood flow in rat heart and its application in real time identification of myocardial infarction model

Abstract

Objective: To establish a method for monitoring the surface blood flow in the heart of rats, and to clarify the relationship between the degree of myocardial infarction and the blood perfusion on the surface of the heart, so as to provide a new indicator for the identification of rat myocardial infarction model. Methods: The rats were divided into control group (n=23) and model group (n=107), the rat hearts were scanned by the laser doppler perfusion imager before and after operation respectively, and the data was analyzed to acquire the rate of surface blood flow change of the heart. Myocardial infarction size of model group was detected by NBT. Model group were divided into three subgroups of mild myocardial infarction, moderate myocardial infarction and severe myocardial infarction according to the myocardial infarction size, and an analysis was made on the correlativity between rate of surface blood flow change of the heart and myocardial infarction size. Results: Myocardial infarction size was highly correlated to the rate of surface blood flow change of the heart in model group (r=0.849 6, P<0.000 1). There was no significant correlation between infarction size and heart blood flow in the mild myocardial infarction subgroup (r=-0.133 6, P>0.05), while the correlation in moderate myocardial infarction was significant (r=0.721 7, P<0.000 1), and the highest correlation was shown in severe myocardial infarction subgroup (r=0.910 2, P<0.000 1). Conclusion: The heart surface blood flow has a close relationship with the myocardial infarction size in rat, so the change of heart blood perfusion can beused as an effective reference to establish and identify rat myocardial infarction model.