Coronary artery calcium scoring: Influence of adaptive statistical iterative reconstruction using 64-MDCT
Coronary artery calcium scoring: Influence of adaptive statistical iterative reconstruction using 64-MDCT
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DOI：
10.1016/j.ijcard.2012.08.003
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发表时间：
2013-09-10
影响因子：
3.5
通讯作者：
Kaufmann, Philipp A.
中科院分区：
文献类型：
--
作者：
Gebhard, Catherine;Fiechter, Michael;Kaufmann, Philipp A.
目的：冠状动脉钙化评估越来越多地用于心血管危险分层。针对钙化评分数据缺乏的情况，我们采用一种新的迭代重建算法(ASIR)在高清晰度CT机上对钙化评分结果的可靠性进行了评估。方法与结果：对连续50例患者进行Agatston评分、钙质和体积评分。使用滤波反投影法(FBP)和20%-100%ASIR算法在组之间进行比较。测量冠状动脉钙化积分，测量主动脉根部和左心室的信号和噪声。与FBP相比，20%、40%、60%、80%和100%的ASIR组间图像噪声分别降低7.7%、18.8%、27.9%、39.86%和48.56%；
Objective: Assessment of coronary artery calcification is increasingly used for cardiovascular risk stratification. We evaluated the reliability of calcium-scoring results using a novel iterative reconstruction algorithm (ASIR) on a high-definition 64-slice CT scanner, as such data is lacking.Methods and results: In 50 consecutive patients Agatston scores, calcium mass and volume score were assessed. Comparisons were performed between groups using filtered back projection (FBP) and 20-100% ASIR algorithms. Calcium score was measured in the coronary arteries, signal and noise were measured in the aortic root and left ventricle. In comparison with FBP, use of 20%, 40%, 60%, 80%, and 100% ASIR resulted in reduced image noise between groups (7.7%, 18.8%, 27.9%, 39.86%, and 48.56%, respectively; p