Predictive value of epicardial adipose tissue volume for early detection of left ventricular dysfunction in patients suspected of coronary artery disease

N Li; Y Cao; Y Li; K Zhang; L Zhang; Q Luo; W Sun; H Shi

doi:10.1016/j.crad.2024.106760

Predictive value of epicardial adipose tissue volume for early detection of left ventricular dysfunction in patients suspected of coronary artery disease

Clin Radiol. 2024 Nov 29:81:106760. doi: 10.1016/j.crad.2024.106760. Online ahead of print.

Authors

N Li¹, Y Cao², Y Li³, K Zhang⁴, L Zhang⁵, Q Luo⁶, W Sun⁷, H Shi⁸

Affiliations

¹ Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Rd., Wuhan 430022, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China. Electronic address: [email protected].
² Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Rd., Wuhan 430022, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China. Electronic address: [email protected].
³ Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Rd., Wuhan 430022, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China. Electronic address: [email protected].
⁴ Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Rd., Wuhan 430022, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China. Electronic address: [email protected].
⁵ Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Rd., Wuhan 430022, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China. Electronic address: [email protected].
⁶ Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Rd., Wuhan 430022, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China. Electronic address: [email protected].
⁷ Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Rd., Wuhan 430022, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China. Electronic address: [email protected].
⁸ Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Rd., Wuhan 430022, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China. Electronic address: [email protected].

PMID: 39752972
DOI: 10.1016/j.crad.2024.106760

Abstract

Aim: To investigate the relationship between epicardial adipose tissue (EAT) and myocardial strain and the severity of coronary artery disease (CAD), and to evaluate the predictive value of EAT parameters in early left ventricular (LV) diastolic dysfunction.

Materials and methods: One hundred seventy patients with suspected CAD who underwent both coronary computed tomography angiography and echocardiography were enrolled in 2020. LV global strains were calculated using commercial software. Epicardial adipose tissue was defined as adipose tissue between -190 HU and -30 HU in the visceral pericardium from the level of pulmonary artery bifurcation to the apical level. EAT volume and average attenuation values were measured. LV diastolic dysfunction was determined by echocardiography.

Results: The mean age of the participants was 56.65 ± 12.64 years, and 57.65% were male. EAT volume and mean attenuation values were significantly correlated with CAD severity. EAT volume was significantly positively correlated with global longitudinal strain (GLS) (r=0.313, P<0.01), and EAT attenuation values were positively correlated with global circumferential strain and GLS (r=0.236, 0.164, respectively, both P<0.05). Age (β = 0.125, OR = 1.134, P<0.01) and EAT volume (β = 0.019, OR = 1.019, P=0.018) were independent predictors of LV diastolic dysfunction. Age combined with EAT volume improved the diagnostic efficacy of left ventricular diastolic dysfunction.

Conclusion: EAT parameters can reflect the severity of CAD. EAT volume is capable of predicting early LV diastolic dysfunction. Compared with GLS, EAT volume may be able to predict LV diastolic dysfunction earlier.