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Correlation between hemodynamics assessed by FAI combined with CT-FFR and plaque characteristics in coronary artery
Bo Duan1, Shuqing Deng2, Runyang Xu3
1Image Center, The Third Affiliated Hospital of Anhui Medical University (The First People's Hospital of Hefei), Hefei, 230061, China.
Insights
Fractional Flow Reserve (FFR) derived from CT scans and the FFR-derived Index (FAI) are linked to coronary artery disease severity. FAI shows potential as a new indicator for myocardial ischemia, with both FAI and CT-FFR effectively predicting significant coronary stenosis.
Area of Science:
- Cardiovascular Imaging
- Interventional Cardiology
- Radiology
Background:
- Coronary Artery Disease (CAD) diagnosis relies on assessing stenosis severity.
- CT-derived Fractional Flow Reserve (CT-FFR) and FFR-derived Index (FAI) are emerging tools for evaluating CAD.
- The relationship between FAI, CT-FFR, hemodynamics, and plaque characteristics in significant coronary stenosis requires further elucidation.
Purpose of the Study:
- To investigate the association between hemodynamics (assessed by FAI and CT-FFR) and plaque characteristics in functionally significant coronary artery stenosis.
- To explore the predictive value of FAI and CT-FFR in identifying myocardial ischemia.
Main Methods:
- Retrospective analysis of 130 patients undergoing coronary computed tomography angiography (CCTA).
- Evaluation of CT-FFR, FAI, and plaque characteristics (composition, volume, burden) in relation to stenosis severity (CAD-RADS grading).
- Comparison of hemodynamic and plaque parameters between myocardial ischemia and non-myocardial ischemia groups.
Main Results:
- Vessels with >50% stenosis showed significantly lower CT-FFR and higher FAI compared to vessels with <50% stenosis.
- FAI and ΔCT-FFR positively correlated with CAD-RADS classification, while minimum CT-FFR showed a negative correlation.
- Non-calcified plaques were more prevalent in >50% stenosis, associated with greater plaque volume and burden.
- FAI was significantly higher in the myocardial ischemia group.
Conclusions:
- FAI is associated with coronary artery stenosis and myocardial ischemia, suggesting its utility as a novel indicator.
- Both FAI and CT-FFR demonstrate strong predictive capabilities for significant coronary stenosis.
- Combined assessment of FAI and CT-FFR may enhance the evaluation of coronary artery lesions.
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 FAIlesion 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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