ArticleCardiovascular diabetology2024
Pericoronary adipose tissue radiomics features as imaging markers for coronary artery disease risk assessment: insights from gene expression analysis.
Article in Cardiovascular diabetology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Association of AI-assisted quantitative coronary plaque burden and CT-derived fractional flow reserve with major adverse cardiovascular events.BMC medical imaging · 2026Article
- Role of systemic and epicardial adipose tissue in cardiometabolic disease.Nature reviews. Cardiology · 2026Review
- Unraveling Atherosclerosis through Multi-omics: Systematic Insights into the Unique Applications and Clinical Perspectives.Current atherosclerosis reports · 2026Review
- Preliminary exploration of the value of pericoronary adipose tissue radiomics in identifying high-risk patients with chronic coronary syndrome: a retrospective Chinese cohort study.Frontiers in medicine · 2026Article
- Pericoronary Adipose Tissue Radiomics-Based Prediction Models for Cardiovascular Events: A Systematic Review of Predictive Performance, Validation, and Incremental Value.International journal of general medicine · 2026Review
- Prognostic value of lesion-specific and proximal coronary segment pericoronary adipose tissue CT Attenuation in ischemic heart disease with angina pectoris.Scientific reports · 2025Article
- Article
- Molecular crosstalk in perivascular adipose tissue: mechanisms of inflammation, metabolic dysregulation, and therapeutic opportunities in cardiovascular disease.Frontiers in cardiovascular medicine · 2025Review
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Authors and funding
8 authors.
Funding
Abstract
aimsThis study aimed to explore the correlation between radiomics features of pericoronary adipose tissue (PCAT) and gene expression in patients with coronary artery disease (CAD), with the goal of identifying novel imaging biomarkers for evaluating CAD.
methodsBetween November 2021 and May 2022, data were collected from 60 patients diagnosed with CAD who underwent coronary artery bypass grafting (CABG) and coronary computed tomography angiography (CCTA). Samples of PCAT, three additional adipose tissue types, and peripheral venous blood were analysed. Radiomics features of PCAT were extracted. Gene expression in adipose tissues and serum was quantified via RT-qPCR, immunohistochemistry and ELISA. The correlations between the radiomics features and genes were analysed.
resultsGene expression analysis revealed significantly elevated levels of CD31, MCP-1, and leptin in PCAT compared with other adipose tissues, and the radiomics features of PCAT have a strong correction with the expression of CD31 and MCP-1. At the systemic level, serum analysis revealed increased concentrations of TNF-α, IL-6, CD31, COL1A1, and resistin, with notable decreases in ADP in CAD patients relative to controls. Notably, CD31, ADP, IL-6, and resistin were significantly corrlated with PCAT texture features, whereas TNF-α was correlated with first-order features.
conclusionsOur findings demonstrated a significant correlation between PCAT radiomics features and gene expression patterns in CAD patients. These features effectively reflect the pathological state of tissues and hold potential as innovative imaging biomarkers. By leveraging PCAT radiomics, clinicians may gain valuable insights for advanced evaluation and management of CAD in later stages.
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