CT-based radiomics integrated model for brain metastases in stage III/IV ALK-positive lung adenocarcinoma patients.

ABSTRACT:

Purpose

This study aims to develop and validate a computed tomography (CT)-based radiomics nomogram for predicting brain metastases in lung adenocarcinoma with anaplastic lymphoma kinase positive (ALK+).

Methods

Of 117 patients were retrospectively reviewed, among them, 34 patients from another hospital. Patients were randomly allocated into training (70%) and validation (30%) cohorts. We integrated the radiomics score (Rad_score) with independent clinic-radiological variables to build the nomogram model. The DeLong test and Decision curve analysis (DCA) were utilized to evaluate performance of three models. Cox regression analysis was used to identify statistically significant factors for progression-free survival (PFS) in ALK-positive lung adenocarcinoma, with model discri

SUBMITTER: Wang F 

PROVIDER: S-EPMC12213897 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature