The quality and clinical translation of radiomics studies based on MRI for predicting Ki-67 levels in patients with breast cancer

CONCLUSION: Ki-67 index is a common tumor biomarker with high clinical value. Radiomics is an ever-growing quantitative data-mining method helping predict tumor biomarkers from medical images. However, the quality of the reviewed studies evaluated by the RQS was not so satisfactory and there are ample opportunities for improvement. Open science and data, external validation, phantom study, publicly open radiomics database and standardization in the radiomics practice are what researchers should pay more attention to in the future.ADVANCES IN KNOWLEDGE: The RQS tool considered the radiomics used to predict the Ki-67 level was of poor quality. ADC performed better than DCE in radiomic prediction. We propose some measures to facilitate the clinical translation of radiomics.PMID:37724784 | DOI:10.1259/bjr.20230172
Source: The British Journal of Radiology - Category: Radiology Authors: Source Type: research