Methodological quality of radiomic-based prognostic studies in gastric cancer: a cross-sectional study
Tianxiang Jiang,
Zhou Zhao,
Xueting Liu
et al.
Abstract:BackgroundMachine learning radiomics models are increasingly being used to predict gastric cancer prognoses. However, the methodological quality of these models has not been evaluated. Therefore, this study aimed to evaluate the methodological quality of radiomics studies in predicting the prognosis of gastric cancer, summarize their methodological characteristics and performance.MethodsThe PubMed and Embase databases were searched for radiomics studies used to predict the prognosis of gastric cancer published… Show more
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