| 孙旭东,黄子扬,陈良龙,孙斌,陈智勇,段青.超声二维斑点追踪技术量化评价陈旧性心肌梗死患者左心室整体心肌梗死大小:与磁共振延迟强化成像对照研究[J].中国医学影像技术,2012,28(3):478~482 |
| 超声二维斑点追踪技术量化评价陈旧性心肌梗死患者左心室整体心肌梗死大小:与磁共振延迟强化成像对照研究 |
| Quantification of global infarct size of chronic myocardial infarction by two dimensional speckle tracking imaging:Comparison with delayed-enhanced MRI |
| 投稿时间：2011-08-11 修订日期：2011-09-25 |
| DOI： |
| 中文关键词: 超声心动描记术 磁共振成像 心室功能,左 心肌梗死 二维应变 |
| 英文关键词:Echocardiography Magnetic resonance imaging Ventricular function, left Myocardial infarction Two-dimensional strain |
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| 中文摘要: |
| 目的 探讨使用2D-STI技术量化评价陈旧性心肌梗死患者左心室整体心肌梗死大小的可行性及有效性。 方法 对43例确诊的连续性陈旧性心肌梗死患者行2D-STI、MR延迟强化成像(DE-MRI)。2D-STI左心室整体水平指标包括整体纵向应变(GLS)、旋转及扭转指标,而量化评价左心室整体水平心肌梗死大小指标包括整体心肌梗死容积率及梗死质量。 结果 在左心室整体水平,GLS与左心室整体心肌梗死容积率显著相关(r=0.620,P＝0.008);GLS和心尖最大旋转率是左心室整体心肌梗死容积率的显著预测因子(P＝0.005、0.014),标准回归系数(Beta)分别为0.720和0.592;GLS是左心室整体心肌梗死质量的显著预测因子(P＝0.024),Beta为0.545。 结论 在左心室整体水平,2D-STI技术的左心室GLS可准确量化评价陈旧性心肌梗死患者整体心肌梗死大小,左心室心尖旋转率也能准确评估整体心肌梗死大小。 |
| 英文摘要: |
| Objective To explore the feasibility and efficiency of two dimensional speckle tracking imaging (2D-STI) to the quantification on the global level of left ventricle infarct size in patients with chronic myocardial infarction. Methods Forty-three consecutive patients with chronic myocardial infarction underwent 2D-STI and delayed-enhanced MRI (DE-MRI). On the global level of left ventricle, global longitudinal strain (GLS), rotation and torsion were separately measured. Global infarct size was calculated as infarct volume ratio and infarct mass. Results On the global level of left ventricle, GLS significantly correlated with infarct volume ratio (r=0.620, P＝0.008). GLS and maximal apical rotation rate were significant predictors of infarct volume ratio (P＝0.005, 0.014), while the standard regression coefficient (Beta) was 0.720 and 0.592, respectively. GLS was the significant predictor of infarct masses (P＝0.024), while the Beta was 0.545. Conclusion On the global level of left ventricle, GLS correlated significantly with global infarct size, while apical rotation rate could also predict global infarct size exactly. |
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