Abstract
This research was aimed at exploring the application value of coronary angiography (CAG) based on a convolutional neural network algorithm in analyzing the distribution characteristics of ST-segment elevation myocardial infarction (STEMI) and non-ST-segment elevation myocardial infarction (NSTEMI) culprit lesions in acute myocardial infarction (AMI) patients. Methods. Patients with AMI treated in hospital from June 2019 to December 2020 were selected as subjects. According to the results of an echocardiogram, the patients were divided into the STEMI group (44 cases) and the NSTEMI group (36 cases). All patients received CAG. All images were denoised and edge detected by a convolutional neural network algorithm. Then, the number of diseased vessels, the location of diseased vessels, and the degree of stenosis of diseased vessels in the two groups were compared and analyzed. Results. The number of patients with complete occlusion (3 cases vs. 12 cases) and collateral circulation (5 cases vs. 20 cases) in the NSTEMI group was significantly higher than that in the STEMI group, and the difference was statistically significant, P < 0.05. There was a statistically significant difference in the number of lesions between the distal LAD (1 case vs. 10 cases) and the distal LCX (4 cases vs. 11 cases), P < 0.05. There was a statistically significant difference in the number of patients with one lesion branch (1 vs. 18) and three lesion branches (25 vs. 12) between the two groups, P < 0.05. The image quality after the convolution neural network algorithm is significantly improved, and the lesion is more prominent. Conclusion. The convolutional neural network algorithm has good performance in DSA image processing of AMI patients. STEMI and NSTEMI as the starting point of AMI disease analysis to determine the treatment plan have high clinical application value. This work provided reference and basis for the application of the convolutional neural network algorithm and CAG in the analysis of the distribution characteristics of STEMI and NSTEMI culprit lesions in AMI patients.
Highlights
Cardiovascular disease has always been the primary cause threatening the life and health of people in developed countries, and it will become the main cause of death in developing countries in the future
Clinical studies showed that Acute myocardial infarction (AMI) can be divided into ST-segment elevation myocardial infarction (STEMI) and non-ST-segment elevation myocardial infarction (NSTEMI) according to ST-segment elevation [8]
There was no significant difference in the risk factors such as hypertension, hypercholesterolemia, diabetes, smoking history, and coronary heart disease history between the two groups, P > 0:05
Summary
Cardiovascular disease has always been the primary cause threatening the life and health of people in developed countries, and it will become the main cause of death in developing countries in the future. Acute myocardial infarction (AMI) is one of the most serious cases in the development of coronary heart disease, which poses a great threat to the life and health of patients [7]. The most effective method for the diagnosis of cardiovascular diseases is coronary angiography (CAG), which is regarded as the gold standard for the diagnosis of coronary artery diseases [10]. It takes a long time from the onset of AMI to the time of first medical contact and to the opening of blood vessels, so the implementation of CAG requires corresponding equipment and professional operation [11, 12]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
