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| 1 | 三维超声斑点追踪成像技术评价原发性高血压患者左室扭转和扭矩显示文摘目的利用三维超声斑点追踪成像技术评估左室射血分数正常的原发性高血压患者左室扭转运动及扭矩。方法选取左室射血分数正常的原发性高血压患者及正常对照组各30例,获取三维全容积图像并测量两组的左室整体纵向应变(GLS)、径向应变(GRS)、圆周应变(GCS)、左室扭转角度峰值(Ptw)、扭矩(Torsion)等。统计学方法应用独立样本t检验及Person相关分析。结果与正常对照组相比,高血压组GLS(-13.91±3.42)减低,Ptw(15.09±2.39)及Torsion(2.94±0.53)增高,差异有统计学意义(P<0.05)。GRS及GCS两组间差异无统计学差异。Ptw、Torsion与左室射血分数(LVEF)均存在正相关,相关系数分别为0.501、0.696。结论高血压患者在左室射血分数正常的情况下依然存在左室心肌功能的改变,三维斑点追踪技术(3D-STI)可以有效的评价高血压患者左室扭转和扭矩,为临床治疗与疗效评价提供了依据。 | 叶晓光 吕秀章 李一丹 王怡丹 王丽 孙兰兰 | 2015 | 中国超声医学杂志2015，31，12： | 13 |
| 2 | Role of left ventricular twist mechanics in cardiomyopathies, dance of the helices显示文摘Left ventricular twist is an essential part of left ventricular function. Nevertheless, knowledge is limited in 'the cardiology community' as it comes to twist mechanics. Fortunately the development of speckle tracking echocardiography, allowing accurate, reproducible and rapid bedside assessment of left ventricular twist, has boosted the interest in this important mechanical aspect of left ventricular deformation. Although the fundamental physiological role of left ventricular twist is undisputable, the clinical relevance of assessment of left ventricular twist in cardiomyopathies still needs to be established. The fact remains; analysis of left ventricular twist mechanics has already provided substantial pathophysiological understanding on a comprehensive variety of cardiomyopathies. It has become clear that increased left ventricular twist in for example hypertrophic cardiomyopathy may be an early sign of subendocardial(microvascular) dysfunction. Furthermore, decreased left ventricular twist may be caused by left ventricular dilatation or an extensive myocardial scar. Finally, the detection of left ventricular rigid body rotation in noncompaction cardiomyopathy may provide an indispensible method to objectively confirm this difficult diagnosis. All this endorses the value of left ventricular twist in the field of cardiomyopathies and may further encourage the implementation of left ventricular twist parameters in the 'diagnostic toolbox' for cardiomyopathies. | Floris Kauer Marcel Leonard Geleijnse Bastiaan Martijn van Dalen | 2015 | World Journal of Cardiology2015，7，8： | 9 |
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