放射性密度
医学
霍恩斯菲尔德秤
脂肪组织
主动脉
胸主动脉
放射科
心脏病学
降主动脉
内科学
计算机断层摄影术
射线照相术
作者
Qinhe Zhang,Ye Li,Luhan Xie,Xue Ren,Ying Zhao,Nan Wang,Lihua Chen,Ye Ju,Yijun Liu,Lizhi Xie,Liangjie Lin,Ailian Liu
出处
期刊:Angiology
[SAGE Publishing]
日期:2022-05-02
卷期号:74 (3): 216-226
标识
DOI:10.1177/00033197221098894
摘要
Radiodensity measured by computed tomography (CT) in Hounsfield Units (HU) is emerging as a clinical tool for detecting perivascular adipose tissue (PVAT) inflammation. In the present study, we hypothesized that PVAT radiodensity might predict the risk of descending thoracic aorta atherosclerosis. A total of 73 subjects who underwent CT angiography to investigate aortic disease were retrospectively analyzed. PVAT radiodensity, aortic complex plaque (ACP), mean plaque-burden score (MPBS), and plaque density were measured, and the association between them was analyzed. Perivascular adipose tissue radiodensity (HU) in patients with different aortic plaques grades (grade 1, 2, 3, and 4) were -93.71 ± 2.50, -93.63 ± 3.93, -90.24 ± 4.49, and -89.90 ± 5.18, respectively, and the difference was significant (P = .010). In the regression analysis, PVAT radiodensity was an independent predictor of ACP, with an OR of 1.263. In the linear analysis, PVAT radiodensity was an independent predictor of MPBS, with a β-coefficient of .073. In the univariate analysis, only the PVAT radiodensity was significantly associated with plaque density, with a β-coefficient of -1.666. In conclusion, PVAT density was independently related to descending thoracic aorta atherosclerosis.
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