| 摘要: |
| ［摘要］ 目的 探讨64排128层容积CT冠状动脉成像在冠心病诊断中的应用价值。方法 随机选取117例冠心病患者行64排128层容积CT冠状动脉成像检查，以显示冠状动脉各主支及分支并对冠状动脉病变进行诊断，分析对不同部位冠状动脉病变诊断的准确性以及不同程度狭窄的敏感性、特异性。结果 冠状动脉造影检测结果显示：左前降支病变54支，左主干病变48支，双支病变32支，左回旋支病变28支，右冠病变25支。64排128层容积CT扫描检测敏感度达91.38%，准确度达92.51%；对于冠状动脉不同程度狭窄的敏感性、特异性均较高。结论 64排128层容积CT冠状动脉成像技术，由于其采用无创技术且对病变部位具有较高的敏感性及特异性，因此在冠心病临床诊断中具有较好的应用价值。 |
| 关键词: 冠心病 冠状动脉成像 敏感性 特异性 |
| DOI：10.3969/j.issn.1674-3806.2014.01.16 |
| 分类号:R 445 |
| 基金项目: |
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| Application value of 64 row-128 slice volume CT coronary angiography in the diagnosis of coronary heart disease |
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LIU Rong-hua, XU Yu-chong
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Department of CT, the People′s Hospital of Chongyang County,Hubei 437500, China
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| Abstract: |
| ［Abstract］ Objective To explore the application value of 64 row-128 slice volume CT coronary angiography in the diagnosis of coronary heart disease.Methods One hundred and seventeen cases of coronary heart disease were selected,the 64 row-128 slices volume CT coronary angiography were used to display the coronary artery lesions in diagnosis of coronary artery main branches and the branches,and its accuracy in the diagnosis of different parts of coronary artery lesions and the sensitivity and the specificity in the diagnosis of different degree of stenosis were analyzed.Results The coronary artery angiography test results showed:the left anterior descending artery lesions in 54 cases;left main coronary artery lesions in 48 cases;double branch lesions in 32 cases; left circumflex artery lesions in 28 cases; right coronary artery lesions in 25 cases. The detection sensitivity reached 91.38%, and the accuracy reached 92.51%; the sensitivity and specificity for different degrees of coronary artery narrow were the higher.Conclusion 64 row-128 slice volume CT coronary angiography in the diagnosis of coronary heart disease, because of its use of noninvasive technique and higher sensitivity and specificity, has good application value in the clinical diagnosis of coronary artery disease. |
| Key words: Coronary heart disease Coronary angiography Sensitivity Specificity |
