Medvedofsky Diego, Kebed Kalie, Laffin Luke, Stone Jeremy, Addetia Karima, Lang Roberto M, Mor-Avi Victor
Department of Medicine, University of Chicago Medical Center, Chicago, IL, USA.
Echocardiography. 2017 Mar;34(3):365-370. doi: 10.1111/echo.13446. Epub 2017 Feb 9.
Although left ventricular (LV) ejection fraction (EF) and global longitudinal strain (GLS) are recommended by the current echocardiographic chamber quantification guidelines, these measurements are not performed routinely. Because EF measurements rely on manual tracing of LV boundaries, and are subject to inter-reader variability and experience dependence, we hypothesized that semiautomated GLS measurements using speckle tracking would be more reproducible and less experience-dependent.
Images from 30 patients were analyzed to obtain biplane EF using manual tracing. GLS was measured in three long-axis views using EchoInsight software (Epsilon Imaging) that automatically detects LV endocardial boundary, which is edited manually as necessary and is then automatically tracked throughout the cardiac cycle. All measurements were performed by an expert echocardiographer and three first-year cardiology fellows.
Semiautomated GLS analysis showed excellent correlation (r=.98) and small bias (-1.0±13% of measured value) between the experienced and less experienced readers, superior to EF (r=.91, bias 7.3±16%). Also, in repeated measurements, GLS showed higher intra-class correlation (ICC=.98) than EF (ICC=.89). Additionally, GLS analysis required ~1 minute per patient, while biplane EF measurements took twice as long.
Semiautomated GLS measurements are fast, less experience-dependent, and more reproducible than conventional EF measurements. This is probably because, irrespective of experience, the readers' choice of boundary position varies less when asked to refine the automated detection than to draw borders without initial clues. This technique may facilitate the workflow of a busy laboratory and make a step forward toward incorporating quantitative analysis into everyday echocardiography practice.
尽管目前的超声心动图心腔定量指南推荐使用左心室(LV)射血分数(EF)和整体纵向应变(GLS),但这些测量并非常规进行。由于EF测量依赖于手动描绘LV边界,且受阅片者间差异和经验依赖性的影响,我们推测使用斑点追踪的半自动GLS测量将具有更高的可重复性且对经验的依赖性更低。
分析30例患者的图像,通过手动描绘获得双平面EF。使用EchoInsight软件(Epsilon Imaging)在三个长轴视图中测量GLS,该软件可自动检测LV心内膜边界,必要时进行手动编辑,然后在整个心动周期中自动追踪。所有测量均由一名专业超声心动图医生和三名心内科一年级住院医师进行。
半自动GLS分析显示,经验丰富和经验较少的阅片者之间具有良好的相关性(r = 0.98)和较小的偏差(-1.0±测量值的13%),优于EF(r = 0.91,偏差7.3±16%)。此外,在重复测量中,GLS的组内相关性(ICC = 0.98)高于EF(ICC = 0.89)。此外,GLS分析每位患者约需1分钟,而双平面EF测量所需时间是其两倍。
与传统的EF测量相比,半自动GLS测量快速、对经验的依赖性更低且可重复性更高。这可能是因为,无论经验如何,当被要求完善自动检测时,阅片者对边界位置的选择差异要小于在没有初始线索的情况下绘制边界时的差异。这项技术可能有助于繁忙实验室的工作流程,并朝着将定量分析纳入日常超声心动图实践迈出一步。