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冠状动脉Schlesinger分型对于冠状动脉狭窄诊断价值研究

Diagnostic values of coronary artery Schlesinger classification in the degree of coronary artery stenosis
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摘要 目的本研究以冠状动脉Schlesinger分型为形态学分类,探讨不同冠状动脉形态对于冠脉狭窄程度的诊断及风险预测价值。方法以DSA为金标准,将冠状动脉分为明显狭窄组与不明显狭窄组,行CT扫描测量心外膜脂肪(epicardial adipose tissue,EAT)体积及判断冠脉Schlesinger分型,并比较组间差异。结果①冠状动脉明显狭窄组年龄、男性比例、血脂及空腹血糖水平、EAT体积较不明显狭窄组大,而血清脂联素水平相对较低,且差异具有统计学意义(P<0.05);②明显狭窄组均衡型、左冠优势型所占比例明显较高、右冠优势型比例较低(P<0.05)。结论冠状动脉的形态学发育差异对于冠状动脉狭窄的罹患风险及风险预测具有参考价值。 Objective:To investigate the diagnostic value and risk prediction for the degree of coronary artery stenosis,basing on the morphological classification of coronary artery Schlesinger type of different coronary artery shapes.Methods:Taking DSA as standard,all patients were divided into two groups:severe stenosis group and mild stenosis group.The volume of epicardial adipose tissue(EAT)was measured by CT scanning and the coronary Schlesinger type was determined for comparing the differences between the two groups.Results:①The age,male proportion,level of blood lipid and fasting blood glucose,EAT volume showed a rising trend in severe stenosis group with significant statistical difference comparing with mild stenosis group,excepting for the level of serum adiponectin,which was relatively lower in severe stenosis group(P<0.05).②The proportion of balanced circulation type and left coronary artery predominated type was significantly higher in severe stenosis group with loewr proportion of right coronary artery predominated type(P<0.05).Conclusion:The difference of coronary artery morphology is correlated with the degree of coronary artery stenosis and it has significant applicative value for diagnosis and risk prediction to a certain extent.
作者 贾明胜 于秋实 杨慧 刘胜全 王月 李江 JIA Ming-sheng;YU Qiu-shi;YANG Hui;LIU Sheng-quan;WANG Yue;LI Jiang(Dept.of Medical Imaging,The Second Affiliated Hospital of Shandong First Medical University,Taian 271000,China;Dept.of Rehabilitation,Huafeng Coal Mine Hospital,Ningyang 271413,China)
出处 《泰山医学院学报》 CAS 2019年第12期896-898,共3页 Journal of Taishan Medical College
基金 泰安市科技发展计划(2018NS0238)
关键词 冠状动脉粥样硬化 Schlesinger分型 心外膜脂肪 风险预测 coronary atherosclerosis schlesinger's classification epicardial adipose tissue risk prediction
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