Almasi Alireza, Pouraliakbar Hamidreza, Sedghian Ahmad, Karimi Mohammad Ali, Firouzi Ata, Tehrai Mahmood
Department of Radiology, Firouzgar Hospital, Iran University of Medical Sciences, Tehran, Iran.
Department of Radiology, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran.
Pol J Radiol. 2014 Jun 30;79:169-74. doi: 10.12659/PJR.890809. eCollection 2014.
Measuring coronary artery calcium score (CACS) using a dual-source CT scanner is recognized as a major indicator for assessing coronary artery disease. The present study aimed to validate the clinical significance of CACS in predicting coronary artery stenosis and its severity.
MATERIAL/METHODS: This prospective study was conducted on 202 consecutive patients who underwent both conventional coronary angiography and dual-source (256-slice) computed tomography coronary angiography (CTA) for any reason in our cardiac imaging center from March to September 2013. CACS was measured by Agatston algorithm on non-enhanced CT. The severity of coronary artery disease was assessed by Gensini score on conventional angiography.
There was a significant relationship between the number of diseased coronary vessels and mean calcium score, i.e. the mean calcium score was 202.25±450.06 in normal coronary status, 427.50±607.24 in single-vessel disease, 590.03±511.34 in two-vessel disease, and 953.35±1023.45 in three-vessel disease (p<0.001). There was a positive association between calcium score and Gensini score (r=0.636, p<0.001). In a linear regression model, calcium score was a strong determinant of the severity of coronary artery disease. Calcium scoring had an acceptable value for discriminating coronary disease from normal condition with optimal cutoff point of 350, yielding a sensitivity and specificity of 83% and 70%, respectively.
Our study confirmed the strong relationship between the coronary artery calcium score and the presence and severity of stenosis in coronary arteries assessed by both the number of diseased coronary vessels and also by the Gnesini score.
使用双源CT扫描仪测量冠状动脉钙化积分(CACS)被认为是评估冠状动脉疾病的一项主要指标。本研究旨在验证CACS在预测冠状动脉狭窄及其严重程度方面的临床意义。
材料/方法:本前瞻性研究对2013年3月至9月间因任何原因在我们心脏影像中心接受了传统冠状动脉造影和双源(256层)计算机断层扫描冠状动脉造影(CTA)的202例连续患者进行。在非增强CT上采用阿加斯顿算法测量CACS。通过传统血管造影上的Gensini评分评估冠状动脉疾病的严重程度。
病变冠状动脉血管数量与平均钙化积分之间存在显著关系,即冠状动脉正常状态下平均钙化积分为202.25±450.06,单支血管病变时为427.50±607.24,两支血管病变时为590.03±511.34,三支血管病变时为953.35±1023.45(p<0.001)。钙化积分与Gensini评分呈正相关(r=0.636,p<0.001)。在一个线性回归模型中,钙化积分是冠状动脉疾病严重程度的一个强有力的决定因素。钙化评分在区分冠状动脉疾病与正常情况方面具有可接受的值,最佳截断点为350,敏感性和特异性分别为83%和70%。
我们的研究证实了冠状动脉钙化积分与通过病变冠状动脉血管数量以及Gnesini评分评估的冠状动脉狭窄的存在及其严重程度之间存在密切关系。