Department of Cardiovascular Diseases, University Hospitals Leuven, Leuven, Belgium.
Bluhm Cardiovascular Institute, Northwestern University, Chicago, Illinois.
J Am Soc Echocardiogr. 2018 Mar;31(3):374-380.e1. doi: 10.1016/j.echo.2017.11.008. Epub 2017 Dec 13.
Despite standardization efforts, vendors still use information from different myocardial layers to calculate global longitudinal strain (GLS). Little is known about potential advantages or disadvantages of using these different layers in clinical practice. The authors therefore investigated the reproducibility and accuracy of GLS measurements from different myocardial layers.
Sixty-three subjects were prospectively enrolled, in whom the intervendor bias and test-retest variability of endocardial GLS (E-GLS) and midwall GLS (M-GLS) were calculated, using software packages from five vendors that allow layer-specific GLS calculation (GE, Hitachi, Siemens, Toshiba, and TomTec). The impact of tracking quality and the interdependence of strain values from different layers were assessed by comparing test-retest errors between layers.
For both E-GLS and M-GLS, significant bias was found among vendors. Relative test-retest variability of E-GLS values differed significantly among vendors, whereas M-GLS showed no significant difference (range, 5.4%-9.5% [P = .032] and 7.0%-11.2% [P = .200], respectively). Within-vendor test-retest variability was similar between E-GLS and M-GLS for all but one vendor. Absolute test-retest errors were highly correlated between E-GLS and M-GLS for all vendors.
E-GLS and M-GLS measurements showed no relevant differences in robustness among vendors, although intervendor bias was higher for M-GLS compared with E-GLS. These data provide no technical argument in favor of a certain myocardial layer for global left ventricular functional assessment. Currently, the choice of which layer to use should therefore be based on the available clinical evidence in the literature.
尽管进行了标准化工作,但供应商仍在使用来自不同心肌层的信息来计算整体纵向应变(GLS)。在临床实践中使用这些不同的层有哪些潜在的优势或劣势知之甚少。因此,作者研究了不同心肌层的 GLS 测量的可重复性和准确性。
前瞻性纳入 63 例患者,使用允许特定层 GLS 计算的五个供应商的软件包(GE、日立、西门子、东芝和 TomTec)计算心内膜 GLS(E-GLS)和中层 GLS(M-GLS)的跨供应商偏差和测试-再测试变异性。通过比较不同层之间的测试-再测试误差来评估跟踪质量的影响和不同层之间应变值的相互依赖性。
对于 E-GLS 和 M-GLS,都发现了供应商之间的显著偏差。E-GLS 值的相对测试-再测试变异性在供应商之间存在显著差异,而 M-GLS 则没有显著差异(范围为 5.4%-9.5%[P=0.032]和 7.0%-11.2%[P=0.200])。除了一个供应商外,所有供应商的 E-GLS 和 M-GLS 的内部测试-再测试变异性相似。对于所有供应商,绝对测试-再测试误差在 E-GLS 和 M-GLS 之间高度相关。
尽管 M-GLS 与 E-GLS 相比,跨供应商偏差更高,但 E-GLS 和 M-GLS 测量在供应商之间的稳健性方面没有明显差异。这些数据没有为全球左心室功能评估的某个心肌层提供技术论据。因此,目前选择使用哪个层应该基于文献中可用的临床证据。