A Practical Guide to Assess the Reproducibility of Echocardiographic Measurements

被引:128
作者
Bunting, Karina V. [1 ,2 ]
Steeds, Richard P. [1 ,2 ]
Slater, Karin [3 ]
Rogers, Jennifer K. [5 ]
Gkoutos, Georgios V. [3 ,4 ,6 ]
Kotecha, Dipak [1 ,2 ]
机构
[1] Univ Birmingham, Inst Cardiovasc Sci, Birmingham, W Midlands, England
[2] Univ Hosp Birmingham NHS Fdn Trust, Birmingham, W Midlands, England
[3] Univ Birmingham, Inst Canc & Genom Sci, Birmingham, W Midlands, England
[4] Natl Inst Hlth Res, Biomed Res Ctr, Birmingham, W Midlands, England
[5] PHASTAR Stat Res, Birmingham, W Midlands, England
[6] Med Res Council Hlth Data Res UK, Birmingham, W Midlands, England
基金
英国医学研究理事会; 欧盟地平线“2020”; 美国国家科学基金会; 美国国家卫生研究院;
关键词
Echocardiography; Reproducibility; Repeatability; Reliability; MAGNETIC-RESONANCE; OBSERVER VARIABILITY; EUROPEAN ASSOCIATION; ATRIAL-FIBRILLATION; AMERICAN SOCIETY; RELIABILITY; AGREEMENT; DOPPLER; REPEATABILITY; COEFFICIENTS;
D O I
10.1016/j.echo.2019.08.015
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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.
引用
收藏
页码:1505 / 1515
页数:11
相关论文
共 51 条
[11]   Recommendations of the European Association of Echocardiography How to use echo-Doppler in clinical trials: different modalities for different purposes [J].
Galderisi, Maurizio ;
Henein, Michael Y. ;
D'hooge, Jan ;
Sicari, Rosa ;
Badano, Luigi P. ;
Luis Zamorano, Jose ;
Roelandt, Jos R. T. C. .
EUROPEAN JOURNAL OF ECHOCARDIOGRAPHY, 2011, 12 (05) :339-353
[12]   Understanding Bland Altman analysis [J].
Giavarina, Davide .
BIOCHEMIA MEDICA, 2015, 25 (02) :141-151
[13]   Planning a reproducibility study: how many subjects and how many replicates per subject for an expected width of the 95 per cent confidence interval of the intraclass correlation coefficient [J].
Giraudeau, B ;
Mary, JY .
STATISTICS IN MEDICINE, 2001, 20 (21) :3205-3214
[14]   Comparison of interstudy reproducibility of cardiovascular magnetic resonance with two-dimensional echocardiography in normal subjects and in patients with heart failure or left ventricular hypertrophy [J].
Grothues, F ;
Smith, GC ;
Moon, JCC ;
Bellenger, NG ;
Collins, P ;
Klein, HU ;
Pennell, DJ .
AMERICAN JOURNAL OF CARDIOLOGY, 2002, 90 (01) :29-34
[15]   Testing the Difference of Correlated Agreement Coefficients for Statistical Significance [J].
Gwet, Kilem L. .
EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT, 2016, 76 (04) :609-637
[16]  
Hallgren Kevin A, 2012, Tutor Quant Methods Psychol, V8, P23
[17]   The power of a paired t-test with a covariate [J].
Hedberg, E. C. ;
Ayers, Stephanie .
SOCIAL SCIENCE RESEARCH, 2015, 50 :277-291
[18]   Intraobserver and interobserver reproducibility of M-mode and B-mode acquired mitral annular plane systolic excursion (MAPSE) and its dependency on echocardiographic image quality in children [J].
Hensel, Kai O. ;
Roskopf, Markus ;
Wilke, Lucia ;
Heusch, Andreas .
PLOS ONE, 2018, 13 (05)
[19]  
Kengne C, 2018, Arch Cardiovasc Dis Suppl, V10, P36
[20]   A new metric of absolute percentage error for intermittent demand forecasts [J].
Kim, Sungil ;
Kim, Heeyoung .
INTERNATIONAL JOURNAL OF FORECASTING, 2016, 32 (03) :669-679