Assessment of intratumor heterogeneity in non-small cell lung cancer by unsupervised K-means clustering of radiomics features based on multiphase computed tomography images.

ABSTRACT:

Background

Intratumor heterogeneity (ITH) is a key determinant of tumor progression, drug resistance, and poor survival in patients with cancer. This study aimed to examine ITH in non-small cell lung cancer (NSCLC) via unsupervised K-means clustering based on multiphase computed tomography (CT) radiomics features.

Methods

This study retrospectively included 452 patients with NSCLC across three cohorts from two centers. Multiphase CT images [including unenhanced CT (UECT) and contrast-enhanced CT arterial phase (CECT-AP) and -venous phase (CECT-VP)], clinicopathological characteristics, and short-term immunotherapy responses of patients were collected. A total of 104 radiomics features were extracted from lung cancer regions segmented on CT images. Unsupervised K-means cluste

SUBMITTER: Wang R 

PROVIDER: S-EPMC12591903 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature