ArticleThe international journal of cardiovascular imaging2025
Risk stratification study of non-calcified coronary plaques based on CT pericoronary adipose tissue measurement.
Article in The international journal of cardiovascular imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Explainable ML for ACS culprit plaques: a multidimensional CCTA model highlighting hemodynamic increment.The international journal of cardiovascular imaging · 2026Article
- Integrated CT-derived fractional flow reserve and perivascular fat attenuation index: a multimodal approach to predict in-stent restenosis.Frontiers in cardiovascular medicine · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
To investigate the relationship between fat attenuation index (FAI) around non-calcified coronary plaques, noninvasive CT-derived fractional flow reserve (CT-FFR), and plaque parameters. The CT angiography images and clinical data of 395 hospitalized patients with suspected coronary heart disease (CHD) were retrospectively collected. Patients were divided into normal (n = 131), mild (n = 140), moderate (n = 78), and severe stenosis (n = 46) groups. All lesion groups had noncalcified plaques in a single coronary artery location (single-vessel disease). Plaque parameters, periplaque FAI, and CT-FFR were measured. Cases were stratified into high-risk (FAI ≥ -70.1 HU, n = 102) and low-risk (FAI < -70.1 HU, n = 293) groups. Coronary stenosis severity correlated positively with age (R²=0.277, P < 0.05), plaque short diameter (R²=0.257, P < 0.05), and FAI (R²=0.548, P < 0.05), and negatively with CT-FFR (R²=-0.387, P < 0.05). The high-risk FAI group had lower plaque CT values and CT-FFR (P < 0.05). FAI around non-calcified plaques correlates with stenosis severity and CT-FFR, offering a potential tool for risk stratification of acute coronary syndrome.
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Registered trials
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