Abstract

We would like to propose a standardized approach for documenting image acquisition protocols to enhance the reproducibility of research findings.
Below are two comprehensive template documents for computed tomography (CT) and magnetic resonance imaging (MRI) acquisition protocols, designed by experienced radiologists and researchers. We would like to ask you to make these templates mandatory as supplements for manuscripts on clinical studies where relevant. Suggestions for any additional information to the templates would be highly welcome.
There are three arguments for such supplements: (i) continuously growing complexity: radiology's rapid advancement has led to sophisticated technical environments for studies, but a lack of comprehensive guidance on documenting protocols has resulted in heterogeneity and inconsistency in reporting, hindering reproducibility; (ii) machine learning and artificial intelligence (AI) research: machine learning and AI in radiology require precise documentation of image acquisition protocols. Standardization ensures reproducibility and robustness for AI-based diagnostic and prognostic tools; and (iii) regulatory and retrospective data analysis needs: increased regulatory demands and retrospective data analysis require streamlined processes for complex protocols, improving research data quality and efficiency.
By embracing such standardized templates, we fortify the scientific integrity of our field, encourage collaboration, and pave the way for advancements in radiology research. Papers with such a supplement might also be more frequently referenced.
The two templates for CT and one for MRI are below.
We hope this sparks a fruitful discussion within your readership.
CT acquisition protocol
MRI acquisition protocol
Footnotes
Declaration of conflicting interests
The authors disclosed the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: JT and JE are employees of Bayer.
Funding
The authors received no financial support for the research, authorship, and/or publication of this article.
