The Growth Trend Predictions in Pulmonary Ground Glass Nodules Based on Radiomic CT Features.

ABSTRACT: Background: The management of ground glass nodules (GGNs) remains a distinctive challenge. This study is aimed at comparing the predictive growth trends of radiomic features against current clinical features for the evaluation of GGNs. Methods: A total of 110 GGNs in 85 patients were included in this retrospective study, in which follow up occurred over a span ≥2 years. A total of 396 radiomic features were manually segmented by radiologists and quantitatively analyzed using an Analysis Kit software. After feature selection, three models were developed to predict the growth of GGNs. The performance of all three models was evaluated by a receiver operating characteristic (ROC) curve. The best performing model was also assessed by calibration and clinical utility. Results:</

SUBMITTER: Gao C 

PROVIDER: S-EPMC7606974 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature