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Three-dimensional echocardiography in a dynamic heart phantom: comparison of five different methods to measure chamber volume using a commercially available software

机译:动态心脏幻影中的三维超声心动图:使用市售软件比较五种不同的测量腔室容积的方法

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Several methods of analysis are available for quantification of left ventricular volumes and ejection fraction using three-dimensional (3D) echocardiography. This study compared the accuracy and reproducibility of five methods of analysis in a novel, irregularly shaped dynamic heart phantom with excellent image quality. Five 3D datasets were acquired on a Philips IE33 platform using an X5-1 3D transducer. Each dataset was analysed by five different methods using the Philips QLab v8.1 software: Methods A1, A2 and A3, semi-automated contour detection with varying degrees of user correction; Method B, Simpson's biplane method using optimally aligned four- and two-chamber views and Method C, method of discs, manually delineated in reconstructed short-axis views. Time–volume curves were generated for each method and compared with the true volumes measured throughout systole in the phantom heart. A second observer repeated measurements by each method in a single 3D dataset. Method A1 (uncorrected semi-automated contouring) produced the most consistent time–volume curves, although end-diastolic and end-systolic volumes varied between datasets. Any manual correction of contours (Methods A2, A3 and B) resulted in significant variation in the time–volume curves, with less consistent endocardial tracking. Method C was not only the most accurate and reproducible method, but also the most time-consuming one. Different methods of 3D volume quantification vary significantly in accuracy and reproducibility using an irregular phantom heart model. Although contouring may appear optimal in long-axis views, this may not be replicated circumferentially, and the resulting measures appeared to be less robust following the manual correction of semi-automated contours.
机译:有几种分析方法可用于使用三维(3D)超声心动图来量化左心室容积和射血分数。这项研究比较了五种分析方法在新颖,形状不规则的动态心脏幻像中具有出色图像质量的五种分析方法的准确性和可重复性。使用X5-1 3D换能器在Philips IE33平台上采集了五个3D数据集。使用Philips QLab v8.1软件通过五种不同的方法对每个数据集进行了分析:方法A1,A2和A3,具有不同程度的用户校正的半自动轮廓检测;方法B是使用最佳对齐的四腔和两腔视图的辛普森双平面方法,方法C是圆盘方法,是在重建的短轴视图中手动绘制的。每种方法均生成了时间-体积曲线,并将其与幻象心脏整个收缩期测得的真实体积进行比较。第二位观察者通过每种方法在单个3D数据集中重复测量。方法A1(未校正的半自动轮廓)产生了最一致的时间-体积曲线,尽管舒张末期和收缩末期的体积在数据集之间有所不同。任何对轮廓的手动校正(方法A2,A3和B)都会导致时间-体积曲线的显着变化,并且心内膜追踪的一致性会降低。方法C不仅是最准确,可重复的方法,而且是最耗时的方法。使用不规则的幻像心脏模型,不同的3D体积量化方法在准确性和可重复性方面差异很大。尽管轮廓在长轴视图中可能看起来是最佳的,但在圆周上可能无法复制,并且在对半自动轮廓进行手动校正后,所得到的度量似乎不那么可靠。

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