Pericoronary adipose tissue radiomics features as imaging markers for coronary artery disease risk assessment: insights from gene expression analysis
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.
Authors
- Zheng Xu (ORCID: https://orcid.org/0000-0003-0311-7004)
- Yan Xing (ORCID: https://orcid.org/0000-0002-2933-1685)
- Qiang Huo (ORCID: https://orcid.org/0000-0001-9581-504X)
- Haicheng Qi
- Qian Liu (ORCID: https://orcid.org/0000-0002-1574-6150)
- Weimin Zhang
- Yan Li (ORCID: https://orcid.org/0000-0001-5663-086X)
- Ya‐Hui Hu
Institutions
- Xinjiang Medical University (CN)
- First Affiliated Hospital of Xinjiang Medical University (CN)
Publication Details
- Journal
- Cardiovascular Diabetology
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1186/s12933-024-02530-6
- Citations
- 5
- Primary Topic
- Cardiovascular Disease and Adiposity
- Type
- article
- Field-Weighted Citation Impact
- 2.01
Funders
- National Natural Science Foundation of China