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心肌灌注成像与多层螺旋计算机断层扫描冠状动脉造影融合图像对血流动力学显著冠状动脉病变评估的诊断性能:一项观察性研究

Diagnostic performance of cardiac fusion images from myocardial perfusion imaging and multislice computed tomography coronary angiography for assessment of hemodynamically significant coronary artery lesions: an observational study.

作者信息

Kadokami Toshiaki, Ando Shin-ichi, Momii Hidetoshi, Yoshida Masayoshi, Narita Sumito, Fukunaga Tomohisa, Nishi Jun-ichiro, Tamura Akira

机构信息

Division of Cardiovascular Medicine, Saiseikai Futsukaichi Hospital, Chikushino, Japan.

出版信息

Nucl Med Commun. 2012 Jan;33(1):60-8. doi: 10.1097/MNM.0b013e32834d3bde.

Abstract

BACKGROUND

In detecting coronary artery disease (CAD), fusion images obtained by combining myocardial perfusion imaging (MPI) and computed tomography coronary angiography (CTCA) have shown a higher accuracy and clinical usefulness than these modalities used separately or a simple comparison of individual images. However, the clinical use of fusion images has been restricted by the necessity of obtaining images with an integral type device or with devices made by the same manufacturer. Thus, we evaluated the detection of hemodynamically significant CAD by fusion images created with a newly developed general-purpose application that can be used with any type of device.

METHODS AND RESULTS

In 49 patients, MPI during exercise and at rest and CTCA were obtained separately and combined into fusion images using the new application. As the reference standard, a comparative interpretation of MPI and the conventional coronary arteriography (CAG) was adopted. Hemodynamically significant CAD were diagnosed when MPI showed a reversible perfusion defect in a region with greater than 50% luminal stenosis on CAG. The capability of fusion images to detect CAD was compared with that of CTCA images alone. Fusion images showed a higher ability to detect CAD (sensitivity 80%, specificity 94%, positive predictive value 77%, and negative predictive value 95%) than CTCA alone (77, 77, 46, and 93%, respectively; fusion vs. CTCA: specificity P=0.0002, positive predictive value P=0.0001).

CONCLUSION

Fusion images obtained with a general-purpose application were superior to CTCA images alone for detecting hemodynamically significant CAD.

摘要

背景

在检测冠状动脉疾病(CAD)时,通过结合心肌灌注成像(MPI)和计算机断层扫描冠状动脉造影(CTCA)获得的融合图像已显示出比单独使用这些模态或简单比较单个图像更高的准确性和临床实用性。然而,融合图像的临床应用受到需要使用一体式设备或同一制造商生产的设备来获取图像的限制。因此,我们评估了使用新开发的可与任何类型设备配合使用的通用应用程序创建的融合图像对血流动力学显著CAD的检测情况。

方法与结果

对49例患者分别进行运动和静息时的MPI以及CTCA检查,并使用新应用程序将其合并为融合图像。作为参考标准,采用MPI与传统冠状动脉造影(CAG)的对比解读。当MPI显示CAG上管腔狭窄大于50%的区域存在可逆性灌注缺损时,诊断为血流动力学显著CAD。将融合图像检测CAD的能力与单独的CTCA图像进行比较。融合图像检测CAD的能力高于单独的CTCA图像(敏感性分别为80%、特异性为94%、阳性预测值为77%、阴性预测值为95%),而单独的CTCA图像的相应指标分别为(77%、77%、46%和93%;融合图像与CTCA图像比较:特异性P = 0.0002,阳性预测值P = 0.0001)。

结论

使用通用应用程序获得的融合图像在检测血流动力学显著CAD方面优于单独的CTCA图像。

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