首页> 外文期刊>World Journal of Cardiovascular Diseases >Relation between Epicardial Adipose Tissue Thickness Assessed by Multidetector Computed Tomography and Significance of Coronary Artery Disease
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Relation between Epicardial Adipose Tissue Thickness Assessed by Multidetector Computed Tomography and Significance of Coronary Artery Disease

机译:多校具计算断层扫描和冠状动脉疾病意义评估外膜脂肪组织厚度的关系

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Objective : To evaluate the relation between epicardial adipose tissue (EAT) thickness and also pericoronary fat assessed by Multidetector Computed Tomography (MDCT) with both calcium score and significance of coronary artery disease. Background : Epicardial adipose tissue (the visceral fat of the heart present under the visceral layer of the pericardium) has the same origin of abdominal visceral fat, which is known to be strongly related to the development of coronary artery atherosclerosis. Multidetector CT (MDCT) provides an accurate and reproducible quantification of EAT due to its high spatial and temporal resolution. Patients and Methods : The current study included 70 patients with low-intermediate probability of coronary artery disease. All patients were subjected to 256 Multidetectors CT to assess EAT thickness, the mean thickness of the pericoronary fat surrounding the three coronary arteries and coronary calcium score. Also coronary CT angiography was done and patients were then divided into 3 groups according to significance of coronary atherosclerosis: Group 1: No atherosclerosis (20 patients), Group 2: Non obstructive atherosclerosis (luminal narrowing less than 50% in diameter) (25 patients), Group3: Obstructive atherosclerosis (luminal narrowing ≥ 50%) (25 patients). Results : The mean EAT thickness and the mean pericoronary fat thickness were significantly higher in patients with obstructive coronary artery disease (CAD) with stenosis > 50% (group 3) compared to other groups with normal coronaries or non obstructive (CAD). ROC curve was used to define the best cut off value of the thickness of both EAT and pericoronary fat in predicting the obstructive CAD group which was ≥7.2 and 12.6 mm for epicardial and pericoronary fat respectively. Also there is a positive correlation between both epicardial adipose tissue and pericoronary fat thickness and the coronary calcium score. Conclusion : EAT thickness and pericoronary fat thickness can be used in predicting the significance of coronary artery disease.
机译:目的:通过钙分数和冠状动脉疾病的钙评分和意义,评价外膜脂肪组织(EAT)厚度(EAT)厚度(EAT)厚度和异种脂肪的关系。 背景:心外膜脂肪组织(心包的内脏层下存在的心脏的内脏脂肪)具有相同的腹腔内脂肪起源,这已知与冠状动脉动脉粥样硬化的发育密切相关。 MultiDetector CT(MDCT)提供了由于其高空间和时间分辨率而准确和可重复的饮食量化。患者和方法:目前的研究包括70名冠状动脉疾病患者的低中间概率。所有患者均经过256名多级CT,以评估饮食厚度,围绕三个冠状动脉和冠状动脉钙得分的各自纤维的平均厚度。还完成冠状动脉CT血管造影,然后根据冠状动脉粥样硬化的重要性,患者分为3组:第1组:第1组,第2组:非阻塞性动脉粥样硬化(直径小于50%)(25例患者),Group3:阻塞性动脉粥样硬化(Luminal变窄≥ 50%)(25例)。结果:梗阻性冠状动脉疾病(CAD)患者的平均饮食厚度和平均偏心厚度显着高。与具有普通冠状冠状血管或非梗阻(CAD)的其他组相比,狭窄> 50%(第3组)。 ROC曲线用于定义在预测外膜和偏脂肪的梗阻性CAD组中的抑制性CAD组的厚度的最佳切断值。外膜脂肪组织和冠状动脉钙评分也存在正相关性。结论:吃厚度和各自的脂肪厚度可用于预测冠状动脉疾病的重要性。

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