首页> 外文期刊>AJR: American Journal of Roentgenology : Including Diagnostic Radiology, Radiation Oncology, Nuclear Medicine, Ultrasonography and Related Basic Sciences >Identification and quantification of coronary atherosclerotic plaques: a comparison of 64-MDCT and intravascular ultrasound.
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Identification and quantification of coronary atherosclerotic plaques: a comparison of 64-MDCT and intravascular ultrasound.

机译:冠状动脉粥样硬化斑块的鉴定和定量:64-MDCT与血管内超声的比较。

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OBJECTIVE: The purpose of this study was to compare the accuracy of 64-MDCT with that of intravascular ultrasound (IVUS) for the identification and quantitative analysis of coronary atherosclerotic plaques. MATERIALS AND METHODS: Twenty-six patients (17 men, nine women; mean age, 56 years) with suspected coronary atherosclerotic disease were studied using contrast-enhanced 64-MDCT and IVUS. The coronary arteries were divided into 10-mm segments and vascular cross-sectional area (CSA), luminal CSA, and plaque burden were measured in each segment. Plaque analysis software was used to automatically detect both plaques and vessel walls on CT images. Two investigators who were blinded to IVUS results independently determined the presence, classification, and quantitative measurement of atherosclerotic plaques on the CT images, which were then compared with the IVUS images. RESULTS: Of 40 coronary arteries, 247 of 263 segments were imaged and analyzed by both contrast-enhanced 64-MDCT and IVUS. Sixteen segments were ruled out because of poor CT image quality. Compared with IVUS, 64-MDCT enabled correct detection in 86 of 89 (96.6%) segments containing noncalcified plaques, 25 of 27 (92.6%) segments containing calcified plaques, and 118 of 131 (90.1%) segments without atherosclerotic plaques. Sensitivity, specificity, positive predictive value, and negative predictive value for the detection of plaques by 64-MDCT were 97.4%, 90.1%, 89.7%, and 97.5%, respectively. Plaque analysis software using predetermined Hounsfield unit ranges for different components of plaque was able to distinguish between fibrous, fibrous-soft, and calcified plaques to a significant degree, but was less able to distinguish between soft and fibrous, and between soft and fibrous-soft plaque. Cohen's kappa coefficient for the sole detection of atherosclerotic segments by observers was 0.91. The correlation coefficients to determine vascular CSA, luminal CSA, and plaque burden were r = 0.85, 0.82, and 0.77, respectively (p < 0.01). CONCLUSION: Compared with IVUS, contrast-enhanced 64-MDCT has a good ability to identify and quantify coronary atherosclerotic plaques. However, the reliable differentiation of the composition of noncalcified plaques is still limited.
机译:目的:本研究的目的是比较64-MDCT与血管内超声(IVUS)的准确性,以鉴定和定量分析冠状动脉粥样斑块。材料与方法:使用增强造影剂64-MDCT和IVUS研究了26例疑似冠状动脉粥样硬化性疾病的患者(男17例,女9例;平均年龄56岁)。将冠状动脉分为10毫米的部分,并在每个部分中测量血管横截面积(CSA),腔CSA和斑块负荷。斑块分析软件用于自动检测CT图像上的斑块和血管壁。两名对IVUS结果不了解的研究者独立确定了CT图像上动脉粥样斑块的存在,分类和定量测量,然后将其与IVUS图像进行比较。结果:在40个冠状动脉中,通过对比增强的64-MDCT和IVUS对263个节段中的247个进行了成像和分析。由于CT图像质量较差,排除了16个片段。与IVUS相比,64-MDCT能够正确检测89个含有未钙化斑块的节段中的86个(96.6%),27个含有钙化斑块的段中的25个(92.6%)和131个动脉粥样硬化斑块中的118个(90.1%)。 64-MDCT检测斑块的敏感性,特异性,阳性预测值和阴性预测值分别为97.4%,90.1%,89.7%和97.5%。使用预先确定的Hounsfield单位范围用于斑块不同成分的斑块分析软件能够在很大程度上区分纤维斑块,纤维斑块和钙化斑块,但分辨软斑块和纤维斑块以及软斑和软斑块的能力较低牌匾。观察者唯一检测到的动脉粥样硬化段的科恩卡伯系数为0.91。确定血管CSA,管腔CSA和斑块负荷的相关系数分别为r = 0.85、0.82和0.77(p <0.01)。结论:与IVUS相比,对比增强的64-MDCT具有更好的识别和定量冠状动脉粥样硬化斑块的能力。但是,未钙化斑块组成的可靠区分仍然受到限制。

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