Analysis shows a high link between myocardial bridges and atherosclerosis, indicating potential benefits of AI in treatment.
Myocardial bridges (MB) are a congenital anomaly in which the coronary artery is partially immersed in the myocardium. The prevalence of MB varies from 1% to 86%, depending on the diagnostic method: selective angiography detects 1-18% of cases, while CT angiography — up to 73%. An analysis of 20+ peer-reviewed papers (2009-2024) showed that MB is associated with proximal atherosclerosis in 98% of cases due to hemodynamic disorders (turbulent blood flow, high pressure gradient). However, some studies deny a direct link or point to the potential protective effect of MB. Systolic compression of the artery causes myocardial ischemia, especially in cases of left ventricular hypertrophy or microvascular dysfunction. Clinical manifestations range from asymptomatic to angina pectoris, ACS, and sudden death. Treatment includes beta blockers, stenting, and myotomy, but the lack of randomized trials limits universal recommendations. The contradictions in the data emphasize the need to integrate morphological and functional imaging, as well as to personalize therapy. Prospects — long-term cohort studies, risk stratification algorithms using AI, study of the angular anatomy of coronary arteries.
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Kolyan et al. (2025) studied this question.
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