Computed tomography radiomics in growth prediction of pulmonary ground-glass nodules

•We developed a nomogram model to predict the growth of ground-glass nodules (GGNs)•The prediction nomogram model combined radiomics and clinical features.•Age, location, and size were independent predictors of GGN growth.•The nomogram model achieved good performance for predicting GGN growth.•Traditional radiographic features have limited value in predicting GGN growth.