Suppr超能文献

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及严重程度?

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

作者信息

Panda Sourav, Vimala Leena Robinson, Livingstone Roshan, Pearlin Benedicta, Irodi Aparna, Joseph Elizabeth, George Oommen K

机构信息

Christian Medical College, Vellore, Tamil Nadu, India.

出版信息

Pol J Radiol. 2022 Jun 26;87:e348-e353. doi: 10.5114/pjr.2022.117968. eCollection 2022.

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 ( = 0.035) and between EAT volume and total cholesterol level ( = 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.

摘要

目的

冠状动脉中游离脂肪酸的过度积累可导致冠状动脉疾病(CAD)。量化心外膜脂肪组织(EAT)和心包脂肪组织(PAT)有助于了解其与CAD、高血压(HT)和糖尿病的关系。

材料与方法

这项回顾性研究纳入了54例使用多排CT扫描仪进行CT冠状动脉造影的患者。使用Image J软件对心脏图像中的EAT和PAT体积进行量化。使用CAD-RADS评分对CAD的严重程度进行分级。

结果

29例患者无CAD,21例患者有显著CAD,4例患者有非显著CAD。在21例有显著CAD的患者中,14例有多支冠状动脉受累。HT、DM、CAD存在组和显著CAD存在组患者的EAT和PAT体积较高,但除PAT体积与糖尿病相关外,差异无统计学意义。发现EAT体积与钙化积分(=0.035)以及EAT体积与总胆固醇水平(=0.017)之间存在显著相关性。在右冠状动脉(RCA)的不同CAD-RADS类别中,EAT体积存在显著差异。从阈值来看,即使在较低的EAT和PAT体积下,左前降支(LAD)也可能发生CAD。

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、严重程度及其危险因素的关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/478b/9288194/402e9b926d09/PJR-87-47444-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验