Pericoronary adipose tissue radiomics features as imaging markers for coronary artery disease risk assessment: insights from gene expression analysis
Authors' conclusion
Our 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.
Study context
- Population
- Patients with coronary artery disease (CAD) who underwent coronary artery bypass grafting (CABG) and coronary CT angiography, November 2021 to May 2022
- Participants
- 60 patients
- Comparison
- Pericoronary adipose tissue (PCAT) vs other adipose tissues; CAD patients vs controls
- Outcome
- Correlation between PCAT radiomics features and gene expression
Main finding
As reported in the abstract
- Significantly elevated CD31, MCP-1 and leptin in PCAT vs other adipose tissues
- PCAT radiomics features strongly correlated with CD31 and MCP-1 expression
- Serum TNF-α, IL-6, CD31, COL1A1 and resistin increased and ADP decreased in CAD patients vs controls
- Serum CD31, ADP, IL-6 and resistin significantly correlated with PCAT texture features; TNF-α correlated with first-order features
Original publication
Pericoronary adipose tissue radiomics features as imaging markers for coronary artery disease risk assessment: insights from gene expression analysis. Cardiovasc Diabetol. Published 18 December 2024. doi:10.
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