Time to shape up - assessment and reporting standards for data quality in clinical research using echocardiographic imaging techniques require improvement

Advanced echocardiography techniques such as speckle tracking imaging are sensitive diagnostic tools frequently used in various clinical and scientific scenarios. Importantly, imperfect reproducibility and dependence of post-processing algorithms on echocardiographic image quality are potential meth...

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Bibliographic Details
Published inBMC cardiovascular disorders Vol. 19; no. 1; p. 281
Main Author Hensel, Kai O
Format Journal Article
LanguageEnglish
Published England BioMed Central Ltd 03.12.2019
BioMed Central
BMC
Subjects
Algorithms
Bias
Cardiomyopathy
Cardiomyopathy, Hypertrophic
Clinical trials
Data Accuracy
Design
Echocardiography
Humans
Information management
Medical journals
Medical research
Methods
Quality control
Quality improvement
Quality standards
Reproducibility of Results
Researchers
Statistics
Strain imaging
Studies
Systole
Validity
Variability
Strain imaging
Validity
Quality improvement
Echocardiography
Bias
Variability
Clinical trials
Quality assessment
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Summary:Advanced echocardiography techniques such as speckle tracking imaging are sensitive diagnostic tools frequently used in various clinical and scientific scenarios. Importantly, imperfect reproducibility and dependence of post-processing algorithms on echocardiographic image quality are potential methodological limitations. Therefore, meticulous assessment of data quality and detailed reporting of study methodology, sample specifics, technical peculiarities and measurement conditions are crucial. Unfortunately, despite the recognized importance of this, there is still no broadly accepted standard for assessing the quality of echocardiographic images in clinical research reports. This article quintessentially highlights important shortcomings of data quality assessment and methodological study design, commonly occurring in clinical research reports using advanced echocardiography techniques. Finally, suggestions are made as to how researchers, scientific communities and biomedical journals can contribute to the ever-lasting process of improving the quality of clinical research in cardiovascular imaging.
Bibliography:SourceType-Other Sources-1
content type line 63
ObjectType-Correspondence-1
ObjectType-Commentary-2
ISSN:1471-2261
1471-2261
DOI:10.1186/s12872-019-1247-4