MORPHOLOGICAL FEATURES OF THE TRUNK OF THE LEFT CORONARY ARTERY AMONG ELDERLY MEN AND WOMEN

Abstract

Aim. To study the anatomical variability of the trunk of the left coronary artery among elderly men and women, based on the analysis of coronary angiography results.

Material and Methods. The study was performed on the basis of anonymous diagnostic images of coronary angiography of 72 women and 76 men, using a standard technique using Philips Allura Xper CV20. The trunk of the left coronary artery was measured, and large branches were separated from it. The obtained results were subjected to statistical analysis methods.

Results. Among men, the diameter of the trunk of the left coronary artery in the mouth area is 4.8± 0.6 mm, for women this value is 4.4±0.6 mm. In the middle third, the diameter of the trunk of the left coronary artery, according to coronary angiography, was 4.6±0.7 mm among men and 4.2±0.6 mm in the group of women. At the level of the distal part of the trunk of the left coronary artery, the vessel diameter in men averaged 4.3±0.7 mm, among women 4.0±0.6 mm. The differences in the average values between the proximal and distal parts of the artery are 0.5 mm in men and 0.1 mm in women. The successful application of modern methods of endovascular surgery is based on an in-depth analysis of anatomical factors related to the structure of the coronary bed and the prediction of activation of auxiliary collateral pathways in patients.

Conclusion. The presented results demonstrate pronounced sex differences in the structure of the trunk of the left coronary artery. Among men, a larger average vessel diameter was noted (up to 4.8±0.6 mm), while the differences between the proximal and distal parts of the vessel averaged up to 0.5 mm. For women, a smaller average diameter (4.4±0.6 mm) was noted, but the differences in average size between the proximal and distal parts did not exceed 0.1 mm. The data obtained allow us to evaluate in more detail the dynamics of changes in the lumen of the trunk of the left coronary artery. This information is necessary to improve personalized approaches in the detection of vascular diseases with the introduction of high-precision diagnostic tools and computer analysis of medical information. They will help to develop individual assessment methods for the risk of hemodynamic disorders using integrated algorithms..