Improving radiomics-based models for esophagogastric variceal bleeding risk prediction in cirrhotic patients

Core Tip

Core Tip: A study by Peng et al developed a combined multi-organ radiomics and clinical model to predict the risk of first-instance secondary esophageal variceal bleeding in cirrhotic patients. The model demonstrated high predictive accuracy, with an area under the curve of 0.951 in the training cohort, highlighting its potential for noninvasive risk stratification. By integrating radiomic features and clinical data, the model offers a more detailed approach to predicting esophageal variceal bleeding, helping clinicians make timely decisions. While the findings are promising, validating the model further using diverse and larger patient cohorts and considering including additional factors to maximize its clinical relevance and applicability is recommended.