Echocardiography plays an essential role in the diagnosis and assessment of cardiovascular disease. Measurements derived from echocardiography are also used to determine the severity of disease, its progression over time, and to aid in the choice of optimal therapy. It is therefore clinically important that echocardiographic measurements be reproducible, repeatable, and reliable. There are a variety of statistical tests available to assess these parameters, and in this article the authors summarize those available for use by echocardiographers to improve their clinical practice. Correlation coefficients, linear regression, Bland-Altman plots, and the coefficient of variation are explored, along with their limitations. The authors also provide an online tool for the easy calculation of these statistics in the clinical environment (www.birmingham.ac.uk/echo). Quantifying and enhancing the reproducibility of echocardiography has important potential to improve the value of echocardiography as the basis for good clinical decision-making.

中文翻译：

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评估超声心动图测量结果可重复性的实用指南。

超声心动图在心血管疾病的诊断和评估中起着至关重要的作用。源自超声心动图的测量结果也可用于确定疾病的严重程度，其随时间的进展，并有助于选择最佳治疗方法。因此，在临床上重要的是，超声心动图测量结果可重复，可重复且可靠。有各种各样的统计测试可用来评估这些参数，在本文中，作者总结了可用于超声心动图检查者改善临床实践的方法。探讨了相关系数，线性回归，Bland-Altman图和变异系数，以及它们的局限性。作者还提供了一种在线工具，可在临床环境中轻松计算这些统计数据（www.birmingham.ac。英国/回声）。量化和增强超声心动图的可重复性具有重要的潜力，可以提高超声心动图的价值，将其作为良好临床决策的基础。