ArticleEuropean radiology2024
Prediction value of pericoronary fat attenuation index for coronary in-stent restenosis.
Article in European radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Molecular phenotyping withEuropean journal of nuclear medicine and molecular imaging · 2026Article
- Single-Cell Transcriptomics Reveals the Immune Pathogenesis of Isolated Coronary Arteritis Presenting as Refractory In-Stent Restenosis.JACC. Basic to translational science · 2026Article
- Effect of imaging parameters and clinical characteristics on pericoronary adipose tissue attenuation in patients without coronary plaque.Quantitative imaging in medicine and surgery · 2026Article
- Role of artificial intelligence in developing predictive models for major adverse cardiovascular outcomes using CCTA adipose tissue characteristics: a systematic review and meta-analysis.European heart journal. Digital health · 2026Review
- Machine Learning-Enhanced TCAB Score for Predicting Postoperative Ischemic Stroke After CABG.Journal of the American Heart Association · 2026Article
- Pericoronary fat attenuation index on coronary CT angiography and cardiovascular risk in patients with coronary artery disease and chronic kidney disease.BMC nephrology · 2025Article
- Prediction of plaque progression using different machine learning models of pericoronary adipose tissue radiomics based on coronary computed tomography angiography.European journal of radiology open · 2025Article
- Evaluation of Whole Blood Viscosity to Predict Stent Restenosis in Patients with Coronary Artery Disease.Anatolian journal of cardiology · 2025Article
- The pericoronary adipose tissue attenuation in CT strongly depends on kernels and iterative reconstructions.European radiology · 2025Article
- Predictive value of pericoronary fat attenuation index for graft occlusion after coronary artery bypass grafting.Japanese journal of radiology · 2025Article
- Integrated CT-derived fractional flow reserve and perivascular fat attenuation index: a multimodal approach to predict in-stent restenosis.Frontiers in cardiovascular medicine · 2025Article
- Relationship between pericoronary adipose tissue attenuation value and image reconstruction parameters.Heliyon · 2024Article
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Authors and funding
10 authors.
Funding
Abstract
objectivesAs a novel imaging marker, pericoronary fat attenuation index (FAI) reflects the local coronary inflammation which is one of the major mechanisms for in-stent restenosis (ISR). We aimed to validate the ability of pericoronary FAI to predict ISR in patients undergoing percutaneous coronary intervention (PCI). MATERIALS AND
methodsPatients who underwent coronary CT angiography (CCTA) before PCI within 1 week between January 2017 and December 2019 at our hospital and had follow-up invasive coronary angiography (ICA) or CCTA were enrolled. Pericoronary FAI was measured at the site where stents would be placed. ISR was defined as ≥ 50% diameter stenosis at follow-up ICA or CCTA in the in-stent area. Multivariable analysis using mixed effects logistic regression models was performed to test the association between pericoronary FAI and ISR at lesion level.
resultsA total of 126 patients with 180 target lesions were included in the study. During 22.5 months of mean interval time from index PCI to follow-up ICA or CCTA, ISR occurred in 40 (22.2%, 40/180) stents. Pericoronary FAI was associated with a higher risk of ISR (adjusted OR = 1.12, p = 0.028). The optimum cutoff was - 69.6 HU. Integrating the dichotomous pericoronary FAI into current state of the art prediction model for ISR improved the prediction ability of the model significantly (△area under the curve = + 0.064; p = 0.001).
conclusionPericoronary FAI around lesions with subsequent stent placement is independently associated with ISR and could improve the ability of current prediction model for ISR. CLINICAL RELEVANCE STATEMENT: Pericoronary fat attenuation index can be used to identify the lesions with high risk for in-stent restenosis. These lesions may benefit from extra anti-inflammation treatment to avoid in-stent restenosis. KEY POINTS: • Pericoronary fat attenuation index reflects the local coronary inflammation. • Pericoronary fat attenuation index around lesions with subsequent stents placement can predict in-stent restenosis. • Pericoronary fat attenuation index can be used as a marker for future in-stent restenosis.
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