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单层面心外膜脂肪面积测量:我们是否需要测量总的心外膜脂肪体积?

Single-slice epicardial fat area measurement: do we need to measure the total epicardial fat volume?

机构信息

Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Kita-ku, Sapporo, Japan.

出版信息

Jpn J Radiol. 2011 Feb;29(2):104-9. doi: 10.1007/s11604-010-0524-z. Epub 2011 Feb 27.

Abstract

PURPOSE

The aim of this study was to assess a method for measuring epicardial fat volume (EFV) by means of a single-slice area measurement. We investigated the relation between a single-slice fat area measurement and total EFV.

METHODS AND METHODS

A series of 72 consecutive patients (ages 65 ± 11 years; 36 men) who had undergone cardiac computed tomography (CT) on a 64-slice multidetector scanner with prospective electrocardiographic triggering were retrospectively reviewed. Pixels in the pericardium with a density range from -230 to -30 Hounsfield units were considered fat, giving the per-slice epicardial fat area (EFA). The EFV was estimated by the summation of EFAs multiplied by the slice thickness. We investigated the relation between total EFV and each EFA.

RESULTS

EFAs measured at several anatomical landmarks-right pulmonary artery, origins of the left main coronary artery, right coronary artery, coronary sinus-all correlated with the EFV (r = 0.77-0.92). The EFA at the LMCA level was highly reproducible and showed an excellent correlation with the EFV (r = 0.92).

CONCLUSION

The EFA is significantly correlated with the EFV. The EFA is a simple, quick method for representing the time-consuming EFV, which has been used as a predictive indicator of cardiovascular diseases.

摘要

目的

本研究旨在评估一种通过单次切片面积测量来测量心外膜脂肪体积(EFV)的方法。我们研究了单次脂肪面积测量与总 EFV 之间的关系。

方法

回顾性分析了 72 例连续接受 64 层多排螺旋 CT 检查的患者(年龄 65±11 岁;男性 36 例),这些患者均接受了前瞻性心电图触发的心脏 CT 检查。密度范围在-230 到-30 亨氏单位之间的心包像素被认为是脂肪,从而得出每片心外膜脂肪面积(EFA)。EFV 通过将 EFA 乘以切片厚度来估算。我们研究了总 EFV 与每个 EFA 之间的关系。

结果

在几个解剖学标志(右肺动脉、左主干冠状动脉起源、右冠状动脉、冠状窦)处测量的 EFA 均与 EFV 相关(r = 0.77-0.92)。LMCA 水平的 EFA 具有高度可重复性,与 EFV 高度相关(r = 0.92)。

结论

EFA 与 EFV 显著相关。EFA 是一种简单、快速的方法,可代表耗时的 EFV,EFV 一直被用作心血管疾病的预测指标。

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