Radiomics transforms the medical images into minable high-throughput data, extracts the in-depth information invisible to the naked eye, in order to provide support for clinical diagnosis and treatment decision-making processes through the analysis of these data. Recently, radiomics has garnered widespread attention from researchers, with a continuously increasing number of research publications. However, there is still a lack of transparency in reporting radiomics studies. To guide the reporting of radiomics research, the CheckList for EvaluAtion of Radiomics research (CLEAR) was developed by the CLEAR working group using an expert consensus process. This checklist, which was published in May 2023, comprises 58 items and has been endorsed by the European Society of Radiology (ESR) and the European Society for Medical Imaging Informatics (EuSoMII). With authorization from the CLEAR working group, this article introduces and interprets the content of this checklist, to promote the understanding and application of CLEAR among radiomics researchers in China, and to enhance the transparency of radiomics research reporting.
Radiomics extracts high-throughput quantitative features from medical images and converts into minable data, in order to utilizes the analysis results of these data to support clinical diagnosis and treatment decisions. In recent years, radiomics has emerged as a significant research method in medical imaging field, while their methodological quality varies. To improve the methodological quality of radiomics research, the METhodological RadiomICs Score (METRICS) was developed by the METRICS working group using an expert consensus process. This tool, which was published in January 2024, comprises 30 items and has been endorsed by the European Society for Medical Imaging Informatics (EuSoMII). With authorization from the METRICS working group, this article introduces and interprets the content of this tool, to promote the understanding and application of METRICS among radiomics researchers in China, and to improve the methodological quality of radiomics research.