Assessment of Epicardial Fat Volume With Threshold-Based 3-Dimensional Segmentation in CT: Comparison With the 2-Dimensional Short Axis-Based Method.
10.4070/kcj.2010.40.7.328
- Author:
Mi Jung PARK
1
;
Jung Im JUNG
;
Yong Seog OH
;
Ho Joong YOUN
Author Information
1. Department of Radiology, Gyeongsang National University Hospital, College of Medicine, Gyeongsang National University, Jinju, Korea.
- Publication Type:Original Article
- Keywords:
Pericardium;
Tomography, X-ray computed;
Visceral fats;
Coronary artery disease
- MeSH:
Angiography;
Coronary Artery Disease;
Humans;
Intra-Abdominal Fat;
Multidetector Computed Tomography;
Pericardium;
Tomography, X-Ray Computed
- From:Korean Circulation Journal
2010;40(7):328-333
- CountryRepublic of Korea
- Language:English
-
Abstract:
BACKGROUND AND OBJECTIVES: We aimed to assess the usefulness of a threshold-based, 3-dimensional (3D) segmentation in comparison with the traditional 2-dimensional (2D) short axis-based method for measurement of epicardial fat volume with 64-slice multidetector computed tomography (MDCT). SUBJECTS AND METHODS: One hundred patients (52 males; mean age, 58.36+/-11.0 years) who underwent coronary CT angiography were enrolled in this study. The epicardial fat volume was measured using the two methods. The existing method was the 2D short axis-based method and the new method was the threshold-based 3D segmentation. Pearson's correlation was used to compare the two measurement methods. We also assessed the relationship between the epicardial fat volume and coronary artery disease (CAD). RESULTS: There were a strong correlation between the epicardial fat volumes determined using the two methods (r=0.956, p<0.001). The mean overestimation of epicardial fat volume by the threshold-based 3D method was 59.89+/-12.00% compared to the 2D short-axis based method. Using the 3D method, the epicardial fat volume was significantly higher in the CAD group than in the controls (165.07+/-48.22 cm3 vs. 108.39+/-48.03 cm3, p<0.001). CONCLUSION: Threshold-based 3D segmentation is another easy and useful tool for measuring the epicardial fat volume.
