Radiomics based on dual-layer spectral detector CT for predicting EGFR mutation status in non-small cell lung cancer.

ABSTRACT:

Objective

To explore the value of dual-layer spectral computed tomography (DLCT)-based radiomics for predicting epidermal growth factor receptor (EGFR) mutation status in patients with non-small cell lung cancer (NSCLC).

Methods

DLCT images and clinical information from 115 patients with NSCLC were collected retrospectively and randomly assigned to a training group (n = 81) and a validation group (n = 34). A radiomics model was constructed based on the DLCT radiomic features by least absolute shrinkage and selection operator (LASSO) dimensionality reduction. A clinical model based on clinical and CT features was established. A nomogram was built combining the radiomic scores (Radscores) and clinical factors. Receiver operating characteristic (ROC) analysis and decision curve

SUBMITTER: Jin D 

PROVIDER: S-EPMC11799912 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature