Prediction Research Of Aortic Dissective Aneunysm

ObjectivesThis study aims to explore the value of carotid artery intima-media ultrasound density variations in forecasting of aortic dissection.Methods30 cases of patients with aortic dissection and 39 cases of patients without aortic dissection were divided into experiment group and control group, respectively. The patients received bilateral carotid artery ultrasound and transesophageal echocardiography, carotid artery long axis and the thoracic aorta long axis were selected and artery intima-media ultrasound density was measured, namely integrated backscatter. Pearson's correlation was used to compare arterial intima-media ultrasound density correlation between bilateral carotid arteries and between thoracic aorta and carotid artery within each group. And independent sample t-test was used to compare differences between the two groups.ResultsIn the experiment group, the mean of the thoracic aorta intima-media ultrasound density was X = 41.827, standard deviation was S = 4.488, and 95 percent confidence interval of mean was (40.151, 43.503). The mean of the left carotid artery intima-media ultrasound density was X =33.077, standard deviation was S = 3.237, and 95 percent confidence interval of mean was (31.868, 34.285). The mean of the right carotid artery intima-media ultrasound density was X =33.327, standard deviation was S = 3.836, and 95 percent confidence interval of mean was (31.894,34.759). The correlation coefficient of intima-media ultrasound density between the thoracic aorta and the left carotid artery was r = 0.566, P < 0.01, which was significant correlation. The correlation coefficient of intima-media ultrasound density between the thoracic aorta and the right carotid artery was r = 0.675, P < 0.01, which was significant correlation. The correlation coefficient of intima-media ultrasound density between the right and the left carotid artery was r = 0.626, P < 0.01, which was also significant correlation.In the control group, the mean of the thoracic aorta intima-media ultrasound density was X = 49.415, standard deviation was S = 5.071, and 95 percent confidence interval of mean was (47.771,51.059). The mean of the left carotid artery intima-media ultrasound density was X =39.182, standard deviation was S = 4.961, and 95 percent confidence interval of mean was (37.573,40.790). The mean of the right carotid artery intima-media ultrasound density was X =39.241, standard deviation was S = 5.187, and 95 percent confidence interval of mean was (37.560, 40.922). The correlation coefficient of intima-media ultrasound density between the thoracic aorta and the left carotid artery was r = 0.743, P < 0.01, which was significant correlation. The correlation coefficient of intima-media ultrasound density between the thoracic aorta and the right carotid artery was r = 0.722, P < 0.01, which was significant correlation. The correlation coefficient of intima-media ultrasound density between the right and the left carotid artery was r = 0.631, P < 0.01, which was significant correlation.The difference of arterial intima-media ultrasound density of the thoracic aorta between the experiment group and the control group was significant (P < 0.01). The intima-media ultrasound density of the thoracic aorta in the control group was higher than in the experiment group. And the difference of arterial intima-media ultrasound density of the carotid artery was significant (P < 0.01). The intima-media ultrasound density of the bilateral carotid in the control group was higher than in the experiment group.ConclusionsThe intima-media ultrasound density of carotid artery and thoracic aorta can reflect their pathological differences. The artery intima-media ultrasound density of the control group is higher than of the experiment group. The correlation coefficient of intima-media ultrasound density between the carotid artery and the thoracic aorta is significant within each group. The intima-media ultrasound density of carotid artery can reflect pathological differences of the thoracic aorta and predict the occurrence of aortic dissection. And this method is simple, economic with high value of clinical application.