Clinical and radiomic factors for predicting invasiveness in pulmonary ground‑glass opacity.

ABSTRACT: Patients with preinvasive or invasive pulmonary ground-glass opacity (GGO) often face different clinical treatments and prognoses. The present study aimed to identify the invasiveness of pulmonary GGO by analysing clinical and radiomic features. Patients with pulmonary GGOs who were treated between January 2014 and February 2019 were included. Clinical features were collected, while radiomic features were extracted from computed tomography records using the three-dimensional Slicer software. Predictors of GGO invasiveness were selected by least absolute shrinkage and selection operator logistic regression analysis, and receiver operating characteristic (ROC) curves were drawn for each prediction model. A total of 194 patients with pulmonary GGOs were included in the present study. The maxi

SUBMITTER: Dang Y 

PROVIDER: S-EPMC9533109 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature