Circ J 2009; 73: 691 -698 ecent advances in multidetector-row computed tomography (MDCT) have enabled non-invasive evaluation of coronary artery stenoses with high accuracy. [1][2][3][4] Diagnostic evaluation of coronary artery stenoses includes review of the originally reconstructed axial images, as well as various post-processing images. The important role of post-processing images is to integrate the series of axial CT sections into a form that is easier to interpret and the axial images can be made to appear similar to other, more familiar images such as those from invasive angiography. [5][6][7][8][9] In these aspects, current methods, such as volume rendering (VR), partial maximum intensity projection (partial MIP), curved multiplanar reconstruction (curved MPR), or cross-sectional images, fall short. VR enables overview of the coronary artery to third parties, but it is not usually used for the evaluation of coronary artery stenoses. For coronary artery stenoses, partial MIP, curved MPR or cross-sectional images are used, but these conventional methods are quite different from the images obtained with invasive coronary angiography (CAG), and it can be difficult for a third person to understand which artery or segment is being analyzed.The angiographic view (AGV) image is a MIP image in which contrast media in the ventricles is eliminated. 7 This image is similar to that from invasive CAG and thus familiar to cardiologists. This type of MIP image clearly demonstrates the distribution of high-density lesions, such as coronary calcifications and stents, in the 1 image. If coronary artery stenoses can also be identified on the AGV image with high accuracy, it will be the post-processing method with most promise for accurately showing the distribution of coronary lesions that is understandable by third parties such as referral physicians and the patients.In this study, we evaluated the accuracy of the AGV image in comparison with axial images alone and a combination of conventional methods for coronary stenoses detection. (Received August 18, 2008; revised manuscript received November 21, 2008; accepted December 7, 2008; released online February 18, 2009 Toshihisa Anzai, MD**; Akio Kawamura, MD**; Koji Ueno, MD**; Sachio Kuribayashi, MD
Background:The angiographic view (AGV) image is a new post-processing method that is similar to conventional coronary angiography (CAG). The purpose of this study was to evaluate its accuracy for coronary stenosis detection by 64-detector row computed tomography (CT).
Methods and Results:CT evaluation results of 17 patients were compared with the results of invasive CAG on a coronary segment basis concerning the presence of stenoses >50% diameter reduction. All images of the 3 viewing methods (combination of conventional methods, AGV image alone, and axial images alone) were evaluated in consensus by 3 cardiovascular radiologists. Among 196 assessable segments, invasive CAG showed significant coronary artery stenoses in 44 segments. 43 of 44 lesions were detected with the ...