Evidence map›Paper›PMID 40768185›Full record

ArticleLa Radiologia medica2025

Radiomic phenotype of epicardial adipose tissue derived from coronary artery calcium score predicts myocardial ischemia.

Lihua Yu, Wenli Yang, Runjianya Ling, Yarong Yu, Xu Dai, Jianqing Sun, Jiayin Zhang, Xingdong Zheng

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Article in La Radiologia medica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Lihua Yu *Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, 200080, China.
Wenli Yang *Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, 200080, China.
Runjianya LingInstitute of Diagnostic and Interventional Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, #600, Yishan Rd, Shanghai, China.
Yarong YuDepartment of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, 200080, China.
Xu DaiDepartment of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, 200080, China.
Jianqing SunDigital Solution, Central Research Institute, United Imaging Healthcare, Shanghai, China.
Jiayin ZhangDepartment of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, 200080, China. andrewssmu@msn.com.ORCID http://orcid.org/0000-0001-7383-7571
Xingdong ZhengTotal Quality Management Institute, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, 200080, China. XingdongZheng_SHGH@163.com.

Funding

Key Project of Shanghai Municipal Education Commission 2024AIZD017National Natural Science Foundation of China 82271990National Natural Science Foundation of China 82471982Shanghai Health Commission Discipline Leader Project 2022XD031Shanghai Municipal Science and Technology Commission Discipline Leader Project BJKJ2024052The National Key Research and Development Program of China 2021YFF0501402
6 · The paper itself

Abstract

purposeTo investigate the radiomic phenotype of epicardial adipose tissue (EAT) derived from coronary artery calcium score (CACS) and its predictive value for myocardial ischemia. MATERIALS AND

methodsThis retrospective study included patients with angina and intermediate-to-high pre-test probability of coronary artery disease who underwent CACS, dynamic CT myocardial perfusion imaging (CT-MPI) and coronary CT angiography (CCTA). All image acquisitions were performed with third generation dual source CT. Radiomic features of EAT derived from CACS were extracted. EAT volume, EAT density, Coronary Artery Disease-Reporting and Data System (CAD-RADS) grades, CACS, and clinical characteristics were recorded. The diagnostic abilities of CT-derived parameters, clinical + CACS model, the EAT radiomic model, and combined model for identification of myocardial ischemia (defined as quantitative myocardial blood flow of less than 100 mL/100 mL/min) were evaluated.

resultsA total of 555 patients from two hospitals were included and divided into training set and external validation set separately. The EAT radiomic model was found to have a larger area under the curve (AUC) (0.840 for training set, 0.838 for validation set) than other CT-derived parameters and the clinical + CACS model for predicting myocardial ischemia (all p < 0.05). The overall diagnostic accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of radiomic model in validation set were 65%, 80%, 59%, 41% and 89%, respectively.

conclusionThe EAT radiomic model demonstrated superior diagnostic performance over clinical + CACS model and other CT-derived parameters in discriminating myocardial ischemia with highest sensitivity and NPV. Nevertheless, the PPV of the EAT radiomic model was found to be low.

Indexed as

Adipose TissueComputed Tomography AngiographyCoronary Artery DiseaseCoronary VesselsMyocardial IschemiaPericardiumVascular CalcificationAgedCoronary AngiographyEpicardial Adipose TissueFemaleHumansMaleMiddle AgedMyocardial Perfusion ImagingPhenotypeCoronary artery diseaseEpicardial adipose tissueMyocardial blood flowMyocardial perfusion imagingRadiomics

Identifiers

PMID40768185

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