朱小虎,黄杨,徐向东,贺亚群.超声心动图测量心外膜脂肪组织预测脑梗死[J].中国医学影像技术,2018,34(11):1659~1662
超声心动图测量心外膜脂肪组织预测脑梗死
Echocardiographic measurement of epicardial adipose tissue in prediction of cerebral infarction
投稿时间:2018-01-26  修订日期:2018-07-30
DOI:10.13929/j.1003-3289.201801156
中文关键词:  脑梗死  超声心动描记术  心外膜脂肪组织
英文关键词:Brain infarction  Echocardiography  Epicardial adipose tissue
基金项目:四川省教育厅课题(15ZA0267)。
作者单位E-mail
朱小虎 成都医学院第一附属医院超声科, 四川 成都 610500  
黄杨 成都医学院第一附属医院超声科, 四川 成都 610500  
徐向东 成都医学院临床医学院, 四川 成都 610500  
贺亚群 成都医学院第一附属医院超声科, 四川 成都 610500 309133864@qq.com 
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中文摘要:
      目的 观察超声心动图测量心外膜脂肪组织(EAT)在预测脑梗死中的临床价值。方法 收集老年脑梗死患者(病变组)133例和无脑梗死患者61例(对照组)。比较病变组各亚组与对照组间一般资料、右心室前壁及心尖部EAT厚度的差异,评价上述参数与脑梗死的相关性;绘制ROC曲线,计算AUC,确定诊断阈值。结果 病变组各亚组与对照组一般资料比较差异均无统计学意义(P均>0.05)。病变组各亚组与对照组右心室前壁EAT厚度差异有统计学意义(P=0.037),其中NLI亚组右心室前壁EAT明显厚于LI亚组及对照组(P均<0.05),而LI亚组与对照组间差异无统计学意义(P>0.05)。病变组各亚组与对照组心尖部EAT厚度差异无统计学意义(P=0.772)。右心室前壁EAT增厚与NLI发生呈低度正相关(r=0.277,P=0.006),与LI发生无明显相关性(r=0.056,P=0.679);其余参数与NLI及LI均无明显相关性(P均>0.05)。右心室前壁EAT诊断NLI的AUC为0.690(P=0.006),诊断阈值为11.54 mm,敏感度63.94%,特异度76.32%。结论 右心室前壁EAT增厚与NLI发生呈低度正相关。超声心动图测量EAT增厚可为临床预测NLI提供影像学信息。
英文摘要:
      Objective To investigate the clinical value of echocardiographic measurement of epicardial adipose tissue (EAT) in prediction of cerebral infarction. Methods Totally 133 cerebral infarction patients (cerebral infarction group, including 76 with non-lacunar cerebral infarction[NLI subgroup] and 57 with lacunar infarction[LI subgroup]) and 61 patients without cerebral infarction (control group) were enrolled. The differences of general data, right ventricular anterior wall and apical EAT thickness among subgroups and control group were compared. The correlation between the above parameters and cerebral infarction was evaluated. ROC curve was drawn, AUC was calculated, and the optimal cutoff value was determined. Results There was no significant difference of general data among subgroups and control group (all P>0.05). There was statistically significant difference in the thickness of EAT in right ventricular anterior wall among subgroups and control group (P=0.037). EAT of the right ventricular anterior wall in NLI subgroup was significantly thicker than that in LI subgroup and control group (both P<0.05), while there was no statistical difference between LI subgroup and control group (P>0.05). There was no significant difference of apical EAT among subgroups and control group (P=0.772). EAT thickness of right anterior wall was weakly positively correlated with NLI (r=0.277, P=0.006), but not significantly correlated with LI (r=0.056, P=0.679), and the other parameters were not correlated with NLI and LI (all P>0.05). AUC of EAT of the right ventricular anterior wall in diagnosis of NLI was 0.690 (P=0.006), the cutoff value was 11.54 mm, the sensitivity was 63.94%, and the specificity was 76.32%. Conclusion EAT thickening in right ventricle anterior wall is weakly associated with NLI. Echocardiographic measurement of EAT thickness can provide imaging information for clinical prediction of NLI.
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