Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, United Kingdom; University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom.
Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom.
J Am Soc Echocardiogr. 2019 Dec;32(12):1505-1515. doi: 10.1016/j.echo.2019.08.015. Epub 2019 Oct 22.
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.
超声心动图在心血管疾病的诊断和评估中发挥着重要作用。超声心动图得出的测量值也被用于确定疾病的严重程度、随时间的进展,以及帮助选择最佳治疗方法。因此,超声心动图测量值具有可重复性、可再现性和可靠性是非常重要的。有多种统计检验方法可用于评估这些参数,本文作者总结了超声心动图医师在改善临床实践中可使用的方法。本文探讨了相关系数、线性回归、Bland-Altman 图和变异系数,以及它们的局限性。作者还提供了一个在线工具,方便在临床环境中计算这些统计数据(www.birmingham.ac.uk/echo)。量化和提高超声心动图的可重复性,对于提高超声心动图作为良好临床决策基础的价值具有重要的潜在意义。