Can epicardial and pericardial adipose tissue volume predict the presence and severity of coronary artery disease?

IF 0.9 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Polish Journal of Radiology Pub Date : 2022-06-26 eCollection Date: 2022-01-01 DOI:10.5114/pjr.2022.117968
Sourav Panda, Leena Robinson Vimala, Roshan Livingstone, Benedicta Pearlin, Aparna Irodi, Elizabeth Joseph, Oommen K George
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Abstract

Purpose: Excessive accumulation of free fatty acids in the coronary arteries can lead to coronary artery disease (CAD). Quantification of epicardial adipose tissue (EAT) and pericardial adipose tissue (PAT) is beneficial to understand its relationship with CAD, hypertension (HT), and diabetes.

Material and methods: This retrospective study included 54 patients who underwent CT coronary angiogram using a multidetector row CT scanner. The EAT and PAT volumes from cardiac images were quantified using Image J software. The severity of CAD was graded using the CAD-RADS score.

Results: Twenty-nine patients had no CAD, 21 patients had significant CAD, and 4 patients had insignificant CAD. Out of 21 patients with significant CAD, 14 had involvement of multiple coronary arteries. The EAT and PAT volumes were higher in patients with HT, DM, CAD-present group and significant-CAD-present group, but this was not statistically significant except the PAT volume with respect to diabetes. Significant correlation was found between EAT volume and calcium score (p = 0.035) and between EAT volume and total cholesterol level (p = 0.017). Significant differences in the EAT volumes were found in different CAD-RADS categories in the right coronary artery (RCA). From the threshold values, it was observed that CAD can develop in LAD even at lower of EAT and PAT volumes.

Conclusions: Quantification of EAT and PAT volumes is beneficial in understanding its relationship with the presence and severity of coronary artery disease and its risk factors.

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心外膜和心包脂肪组织体积能否预测冠状动脉疾病的存在和严重程度?
目的:游离脂肪酸在冠状动脉中的过度积累可导致冠状动脉疾病(CAD)。心外膜脂肪组织(EAT)和心包脂肪组织(PAT)的量化有助于了解其与冠心病、高血压(HT)和糖尿病的关系。材料和方法:本回顾性研究包括54例使用多层螺旋CT扫描仪行冠状动脉造影的患者。使用Image J软件定量心脏图像的EAT和PAT体积。使用CAD- rads评分对CAD的严重程度进行分级。结果:无冠心病29例,冠心病显著21例,冠心病不显著4例。在21例显著冠心病患者中,14例累及多支冠状动脉。HT、DM、CAD-present组和显著CAD-present组患者的EAT和PAT体积均较高,但除糖尿病患者的PAT体积外,其他差异均无统计学意义。进食容积与钙评分有显著相关性(p = 0.035),进食容积与总胆固醇水平有显著相关性(p = 0.017)。不同CAD-RADS类别右冠状动脉(RCA)的EAT体积有显著差异。从阈值来看,即使在较低的EAT和PAT体积下,CAD也可以在LAD中发展。结论:量化EAT和PAT体积有助于了解其与冠状动脉疾病的存在和严重程度及其危险因素的关系。
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来源期刊
Polish Journal of Radiology
Polish Journal of Radiology RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
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