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目的探讨半定量分析指标总负荷积分(SSS)和冠脉Gensini积分的相关性。方法入选29例确诊或疑似的冠心病患者,行核素灌注显像(静息+腺苷负荷)和冠状动脉造影(CAG)。应用ECToolBox软件对心肌灌注图像进行分析,计算SSS。应用定量冠状动脉造影(QCA)软件测算冠脉狭窄程度,结合病变部位计算冠脉Gensini积分。将两种积分进行分析。结果 Gensini积分随SSS升高逐渐升高,两者呈正相关(P<0.01)。结论 SSS可作为预测冠脉狭窄程度的无创性半定量指标,是独立于CAG之外冠心病危险程度和预后的评估指标。
Objective To explore the relationship between semi-quantitative analysis of total stress score (SSS) and coronary Gensini integral. Methods Twenty-nine patients with confirmed or suspected coronary heart disease were enrolled in this study. Nuclide perfusion imaging (resting + adenosine stress) and coronary angiography (CAG) were performed. The myocardial perfusion images were analyzed using ECToolBox software to calculate SSS. Quantitative coronary angiography (QCA) software was used to measure the degree of coronary artery stenosis, and the coronary artery Gensini score was calculated according to the lesion site. Analyze the two points. Results The Gensini score increased gradually with the increase of SSS, and there was a positive correlation between them (P <0.01). Conclusion SSS can be used as a non-invasive semi-quantitative index to predict the degree of coronary artery stenosis and is an independent index of risk and prognosis of coronary heart disease independent of CAG.