Clinical and radiological predictors of epidermal growth factor receptor mutation in nonsmall cell lung cancer.

ABSTRACT:

Purpose

To determine the prognostic factors of epidermal growth factor receptor (EGFR) mutation status in a group of patients with nonsmall cell lung cancer (NSCLC) by analyzing their clinical and radiological features.

Materials and methods

Patients with NSCLC who underwent EGFR mutation detection between 2014 and 2017 were included. Clinical features and general imaging features were collected, and radiomic features were extracted from CT data by 3D Slicer software. Prognostic factors of EGFR mutation status were selected by least absolute shrinkage and selection operator (LASSO) logistic regression analysis, and receiver operating characteristic (ROC) curves were drawn for each prediction model of EGFR mutation.

Results

A total of 118 patients were enrolled in this

SUBMITTER: Dang Y 

PROVIDER: S-EPMC7856515 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature