| Assessment of Epicardial Fat Volume With Threshold-Based 3-Dimensional Segmentation in CT: Comparison With the 2-Dimensional Short Axis-Based Method. | |
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MedLine Citation:
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PMID: 20664741 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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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 cm(3) vs. 108.39+/-48.03 cm(3), p<0.001). CONCLUSION: Threshold-based 3D segmentation is another easy and useful tool for measuring the epicardial fat volume. |
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Authors:
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Mi Jung Park; Jung Im Jung; Yong Seog Oh; Ho-Joong Youn |
Publication Detail:
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Type: Journal Article Date: 2010-07-26 |
Journal Detail:
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Title: Korean circulation journal Volume: 40 ISSN: 1738-5555 ISO Abbreviation: Korean Circ J Publication Date: 2010 Jul |
Date Detail:
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Created Date: 2010-07-28 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101247141 Medline TA: Korean Circ J Country: Korea (South) |
Other Details:
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Languages: eng Pagination: 328-33 Citation Subset: - |
Affiliation:
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Department of Radiology, Gyeongsang National University Hospital, College of Medicine, Gyeongsang National University, Jinju, Korea. |
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