Abstract:Purpose: To identify the invasiveness of pulmonary ground-glass opacity (GGO) by analysing clinical and radiomic features. Materials and methods: Patients with pulmonary GGOs between 2014 and 2019 were included. Clinical features were collected, and radiomic features were extracted from CT data by 3D Slicer software. Predictors of invasiveness of GGO were selected by least absolute shrinkage and selection operator (LASSO) logistic regression analysis, and receiver operating characteristic (ROC) curves were dra… Show more
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