Why the study?
While CT-FFR and FAI are associated with CAD development, their relationship with hemodynamics and plaque characteristics in functionally significant coronary artery stenosis remains unclear.
Does the combination of FAI and CT-FFR correlate with plaque characteristics and identify hemodynamically significant coronary artery stenosis in patients with suspected CAD?
Observational (n=130)
No
Does the combination of FAI and CT-FFR correlate with plaque characteristics and identify hemodynamically significant coronary artery stenosis in patients with suspected CAD?
Answers are grounded in this paper and cite their sources.
FAI combined with CT-FFR provides a non-invasive method to accurately identify hemodynamically significant coronary stenosis and assess plaque vulnerability.
Background While both CT-FFR and FAI are found to be associated with the development of CAD, their relationship with hemodynamics and plaque characteristics remains unclear. The present study aims to investigate the relationship between hemodynamics assessed by FAI combined with CT-FFR and plaque characteristics in functionally significant coronary artery stenosis. Methods This retrospective study included 130 patients with suspected coronary heart disease, who were admitted to the Department of Cardiology of our hospital and underwent coronary computed tomography angiography (CCTA) from January 2022 to December 2023. Clinical baseline data and relevant auxiliary examination results were collected, and CCTA, FAI, and CT-FFR data were analyzed to investigate the relationship between these imaging parameters and both the hemodynamics and plaque characteristics of coronary artery lesions. Results From 130 patients, a total of 207 diseased vessels were analyzed and classified based on CAD-RADS grading: 128 vessels exhibited stenosis of less than 50%, and 79 exhibited stenosis exceeding 50%. Patients with more than one lesion of > 50% stenosis were classified into the myocardial ischemia group (44 cases), and the rest were categorized as the non-myocardial ischemia group (86 cases). Compared to the non-myocardial ischemia group, patients in the myocardial ischemia group were significantly older ( p < 0.001). No significant difference was found between the two groups in sex, cardiovascular risk factors, or the indicator of stenotic vessel distribution. The minimum CT-FFR in vessels with < 50% stenosis was higher than in vessels with > 50% stenosis, ΔCT-FFR was lower in vessels with < 50% stenosis than in vessels with > 50% stenosis, and the median CT-FFR was significantly lower in vessels with > 50% stenosis than in vessels with < 50% stenosis ( p < 0.001). Additionally, FAI-LAD, FAI-LCX, FAI-RCA, and FAI-Mean were found to be significantly higher in vessels with > 50% stenosis compared to vessels with < 50% stenosis ( p < 0.05). A negative correlation was observed between the minimum CT-FFR among three main coronary arteries (LAD, LCX, RCA) and CAD-RADS classification, while both ΔCT-FFR and FAI were positively correlated with CAD-RADS classification ( p < 0.05). Non-calcified plaques were more prevalent in the vessels with > 50% stenosis, primarily located in the LAD, while calcified plaques were predominantly observed in vessels with < 50% stenosis ( p < 0.001). In addition, in vessels with > 50% stenosis, plaques were longer, the degree of luminal stenosis was greater, and both the total volume and burden of plaques were significantly greater than in vessels with < 50% stenosis ( p < 0.001). Lastly, the FAI lesion value in the vessels with > 50% stenosis was higher than in vessels with < 50% stenosis ( p < 0.001). Conclusion FAI is associated with coronary artery stenosis and myocardial ischemia, and may serve as a novel indicator for identifying myocardial ischemia. Both FAI and CT-FFR demonstrated strong predictive abilities in significant coronary stenosis.
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Duan et al. (2025) conducted an observational in Coronary artery disease (n=130). Coronary artery stenosis >50% vs. Coronary artery stenosis <50% was evaluated on Lesion Fat Attenuation Index (FAIlesion) in HU (p=<0.001).
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