Computed tomography-based texture analysis for predicting adjuvant therapy response in postoperative patients with <i>EGFR</i>-mutant non-small cell lung cancer.

ABSTRACT:

Background

Emerging research suggests that epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitor (TKI) agents are not universally effective in patients with EGFR-mutant non-small cell lung cancer (NSCLC), with many developing varying degrees of acquired resistance. Studies have found that such resistance is significantly associated with certain imaging features. Therefore, this study aimed to examine the application value of combining texture analysis techniques with computed tomography (CT) images in predicting the efficacy of targeted adjuvant therapy in patients with EGFR-mutant NSCLC following surgery.

Methods

The basic clinical data of patients with EGFR-mutant NSCLC who underwent surgery followed by targeted therapy with first-ge

SUBMITTER: Wang D 

PROVIDER: S-EPMC12780434 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature