Epicardial and Pericardial Adipose Tissue: Anatomy, physiology, Imaging, Segmentation, and Treatment Effects.

IF 3.4 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Tristan T Demmert, Konstantin Klambauer, Lukas J Moser, Victor Mergen, Matthias Eberhard, Hatem Alkadhi
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引用次数: 0

Abstract

Epicardial (EAT) and pericardial adipose tissue (PAT) are increasingly recognized as distinct fat depots with implications for cardiovascular disease. This review discusses their anatomical and physiological characteristics, as well as their pathophysiological roles. EAT, in direct contact with the myocardium, exerts local inflammatory and metabolic effects on the heart, while PAT influences cardiovascular health rather systemically. We sought to discuss the currently used imaging modalities to assess these fat compartments-CT, MRI, and echocardiography-emphasizing their advantages, limitations, and the urgent need for standardization for both scanning and image reconstruction. Advances in image segmentation, particularly deep learning-based approaches, have improved the accuracy and reproducibility of EAT and PAT quantification. This review also explores the role of EAT and PAT as risk factors for cardiovascular outcomes, summarizing conflicting evidence across studies. Finally, we summarize the effects of medical therapy and lifestyle interventions on reducing EAT volume. Understanding and accurately quantifying EAT and PAT is essential for cardiovascular risk stratification and may open new pathways for therapeutic interventions.

心外膜和心包脂肪组织:解剖、生理、成像、分割和治疗效果。
心外膜(EAT)和心包脂肪组织(PAT)越来越被认为是与心血管疾病相关的不同脂肪库。本文就其解剖、生理特点及其病理生理作用作一综述。EAT直接与心肌接触,对心脏产生局部炎症和代谢作用,而PAT对心血管健康的影响则是全局性的。我们试图讨论目前用于评估这些脂肪隔室的成像方式——ct、MRI和超声心动图——强调它们的优点、局限性,以及扫描和图像重建标准化的迫切需要。图像分割的进步,特别是基于深度学习的方法,提高了EAT和PAT量化的准确性和可重复性。本综述还探讨了EAT和PAT作为心血管结局危险因素的作用,总结了研究中相互矛盾的证据。最后,我们总结了药物治疗和生活方式干预对减少进食量的影响。了解和准确量化EAT和PAT对心血管危险分层至关重要,并可能为治疗干预开辟新的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
British Journal of Radiology
British Journal of Radiology 医学-核医学
CiteScore
5.30
自引率
3.80%
发文量
330
审稿时长
2-4 weeks
期刊介绍: BJR is the international research journal of the British Institute of Radiology and is the oldest scientific journal in the field of radiology and related sciences. Dating back to 1896, BJR’s history is radiology’s history, and the journal has featured some landmark papers such as the first description of Computed Tomography "Computerized transverse axial tomography" by Godfrey Hounsfield in 1973. A valuable historical resource, the complete BJR archive has been digitized from 1896. Quick Facts: - 2015 Impact Factor – 1.840 - Receipt to first decision – average of 6 weeks - Acceptance to online publication – average of 3 weeks - ISSN: 0007-1285 - eISSN: 1748-880X Open Access option
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