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以多切面電腦斷層評估心血管鈣化與心包膜脂肪之相關性

Correlation between Coronary Artery Calcification and Pericardial Fat by Multi-Detector Computed Tomography

摘要


目的:透過多切面電腦斷層(Multi-Detector Computed Tomography, MDCT)心臟冠狀動脈系統觀察心臟週邊脂肪組織的含量,以探討心包膜脂肪體積之大小與冠狀動脈鈣化是否具有相關性,並分別觀察上述二者與一些傳統心血管疾病風險因子間之相關性。方法:我們回溯民國九十九年一月至十二月已接受64切面CT心臟冠狀動脈系統檢查之80名無心血管疾病徵候健檢者資料,40名具有冠狀動脈鈣化,另40名則無。脂肪組織設定為-250至-30 HU(Hounsfield units)進行體積測量;冠狀動脈鈣化則以AJ-130(Agatston-Janowitz score)為指標進行測量。最後,所有數據皆以SPSS 17進行統計分析。結果:分析統計後之數據顯示冠狀動脈鈣化程度與心包膜脂肪體積大小雖不直接具顯著相關性,但卻分別與多數傳統心血管疾病風險因子具有顯著相關性。此一結果指出兩者之間定然具有某種因果關係。結論:由於本研究得到心包膜脂肪體積與冠狀動脈鈣化程度,分別和多數心血管疾病風險因子為正相關性。因此,我們未來將擴大樣本至具有心血管疾病患者的研究,所得結果應可於日後電腦斷層心臟冠狀動脈檢查時供作心血管疾病之預測指標。

並列摘要


Objective: The correlation between pericardial fat volume and calcified coronary plaque determined by Multi-Detector Computed Tomography (MDCT) was evaluated. The relationship between various coronary artery disease risk factors and the above two measurements were also analyzed. Methods: From January to December 2010 we retrospectively reviewed data from 80 volunteers without any coronary artery disease symptoms who had undergone a physical examination. They were divided into two groups according to their 64-row CT coronary angiography reports, namely 40 individuals who showed coronary artery calcification, and 40 individuals were not showing such calcification. Adipose tissue was set at -250 to -30 Hounsfield units (HU) to allow fatty volume calculation. In addition, AJ-130 (Agatston-Janowitz score) was employed as a measure of coronary artery calcification. Finally, all the data were statistically analyzed by SPSS 17. Results: The analyzed data showed that the degree of coronary artery calcification was not directly correlated with pericardial fat volume. However, separately, most traditional cardiovascular disease risk factors were highly correlated with these two items. This result suggests that, notwithstanding the above result, some relationship between these two measurements must exist. Conclusion: Most cardiovascular disease risk factors were found to be positively correlated with both pericardial fat volume and with coronary artery calcification. Therefore, we would like to include subjects with cardiovascular disease in our future study in the hope that their data may improve the accuracy of cardiovascular disease prediction by CT coronary angiography.

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