Identification of patients with unstable angina based on coronary CT angiography: the application of pericoronary adipose tissue radiomics

CCTA-based radiomics signature of PCAT is better than the FAI model in identifying unstable angina and stable angina. The integrated model constructed by combining radiomics and clinical features could further improve the diagnosis and differentiation ability of unstable angina.

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Publication Details

Journal
Frontiers in Cardiovascular Medicine
Published
2024-12-12
DOI
https://doi.org/10.3389/fcvm.2024.1462566
Citations
4
Primary Topic
Cardiovascular Disease and Adiposity
Type
article
Field-Weighted Citation Impact
1.61
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article

Identification of patients with unstable angina based on coronary CT angiography: the application of pericoronary adipose tissue radiomics

Jiang He, Y Li, Hui Luo, Long Jiao et al.
4 citations
Frontiers in Cardiovascular Medicine
Cardiovascular Disease and Adiposity
1.61
article

Identification of patients with unstable angina based on coronary CT angiography: the application of pericoronary adipose tissue radiomics

Jiang He, Y Li, Hui Luo, Long Jiao, Yang Xu, Ying Yang, Weisheng Zhan
article en
4 citations

Abstract

CCTA-based radiomics signature of PCAT is better than the FAI model in identifying unstable angina and stable angina. The integrated model constructed by combining radiomics and clinical features could further improve the diagnosis and differentiation ability of unstable angina.

Frontiers in Cardiovascular MedicineVol. 11
Affiliated Hospital of North Sichuan Medical College (CN), Nanchong Central Hospital (CN)
Reduced inequalities
Openalex Percentile: Top 14%
Cardiovascular Disease and Adiposity
1.61
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