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新型影像学生物标志物:心外膜脂肪组织评估。

Novel imaging biomarkers: epicardial adipose tissue evaluation.

机构信息

Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milano, Italy.

Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy.

出版信息

Br J Radiol. 2020 Sep 1;93(1113):20190770. doi: 10.1259/bjr.20190770. Epub 2019 Dec 11.

Abstract

Epicardial adipose tissue (EAT) is a metabolically activated beige adipose tissue, non-homogeneously surrounding the myocardium. Physiologically, EAT regulates toxic fatty acids, protects the coronary arteries against mechanical strain, regulates proinflammatory cytokines, stimulates the production of nitric oxide, reduces oxidative stress, and works as a thermogenic source against hypothermia. Conversely, EAT has pathologic paracrine interactions with the surrounded vessels, and might favour the onset of atrial fibrillation. In addition, initial atherosclerotic lesions can promote inflammation and trigger the EAT production of cytokines increasing vascular inflammation, which, in turn, may help the development of collateral vessels but also of self-stimulating, dysregulated inflammatory process, increasing coronary artery disease severity. Variations in EAT were also linked to metabolic syndrome. Echocardiography first estimated EAT measuring its thickness on the free wall of the right ventricle but does not allow accurate volumetric EAT estimates. Cardiac CT (CCT) and cardiac MR (CMR) allow for three-dimensional EAT estimates, the former showing higher spatial resolution and reproducibility but being limited by radiation exposure and long segmentation times, the latter being radiation-free but limited by lower spatial resolution and reproducibility, higher cost, and difficulties for obese patients. EAT radiodensity at CCT could to be related to underlying metabolic processes. The correlation between EAT and response to certain pharmacological therapies has also been investigated, showing promising results. In the future, semi-automatic or fully automatic techniques, machine/deep-learning methods, if validated, will facilitate research for various EAT measures and may find a place in CCT/CMR reporting.

摘要

心外膜脂肪组织(EAT)是一种代谢活跃的米色脂肪组织,不均匀地环绕心肌。从生理上讲,EAT 可调节毒性脂肪酸,保护冠状动脉免受机械应变,调节促炎细胞因子,刺激一氧化氮的产生,减少氧化应激,并作为产热源抵抗低体温。相反,EAT 与周围血管有病理旁分泌相互作用,可能有利于房颤的发生。此外,初始动脉粥样硬化病变可促进炎症,并触发 EAT 产生细胞因子,增加血管炎症,这反过来又可能有助于侧支血管的发育,但也可能导致自身刺激、失调的炎症过程,增加冠心病的严重程度。EAT 的变化也与代谢综合征有关。超声心动图最初通过测量右心室游离壁的厚度来估计 EAT,但不允许准确估计 EAT 的体积。心脏 CT(CCT)和心脏磁共振(CMR)允许进行三维 EAT 估计,前者具有更高的空间分辨率和可重复性,但受到辐射暴露和长时间分割时间的限制,后者无辐射,但受到空间分辨率和可重复性较低、成本较高以及肥胖患者的限制。CCT 中 EAT 的放射密度可能与潜在的代谢过程有关。EAT 与某些药物治疗反应之间的相关性也进行了研究,结果有一定的前景。在未来,半自动或全自动技术、机器/深度学习方法,如果得到验证,将有助于进行各种 EAT 测量的研究,并可能在 CCT/CMR 报告中占有一席之地。

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