A predictive nomogram for <i>EGFR</i> mutation status in lung adenocarcinoma manifesting as ground-glass nodules.

ABSTRACT:

Background

The mutation status of epidermal growth factor receptor (EGFR) in lung adenocarcinoma is significantly associated with postoperative progression-free survival. Computed tomography (CT)-based radiomics analysis may have potential value in predicting EGFR mutation status. This study aims to explore the predictive capacity of radiomics analysis for EGFR mutation status in lung adenocarcinomas presenting as ground-glass nodules (GGNs).

Methods

We included 199 GGNs confirmed by histopathology from 2016 to 2020. The clinical factors and radiographic characteristics were counted and evaluated. All GGNs were manually delineated and the radiomics features were extracted, using the least absolute shrinkage and selection operator for feature selection. T

SUBMITTER: Ping X 

PROVIDER: S-EPMC11635277 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature