Machine Learning-Based CCTA-Guided Intensive Atheroprotective Strategy in a Middle-Aged INOCA Patient With Challenging Arterial Features.

ABSTRACT:

Background

Management of ischemia with nonobstructive coronary arteries (INOCA) remains insufficiently defined in current guidelines, particularly when complicated by symptomatic myocardial bridging, evolving nonobstructive atherosclerosis, and systemic inflammation. Such overlapping mechanisms create complex diagnostic and therapeutic challenges that require individualized care.

Case summary

A 39-year-old man with recurrent chest discomfort, left anterior descending myocardial bridging, and suspected microvascular dysfunction was found to have progressive high-risk atherosclerosis and elevated systemic inflammatory burden, despite the absence of obstructive coronary disease. Multimodal imaging-including coronary computed tomography angiography with machine learning (ML)-bas

SUBMITTER: Kharlamov A 

PROVIDER: S-EPMC12861628 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature