Unknown

Dataset Information

Radiomic phenotypes of oligometastatic non-small cell lung cancer.


ABSTRACT:

Background

Identifying biomarkers that optimize patient selection for ablative therapy in metastatic non-small cell lung cancer (NSCLC) remains an unmet need. In this study, we identified radiomic features associated with sustained oligometastatic and indolent NSCLC.

Methods

We curated a retrospective cohort of 167 patients (132 training/validation, 35 test) with treatment-naïve, metastatic NSCLC and pre-treatment positron emission tomography/computed tomography (PET/CT). We extracted radiomic features from the primary lesion and used Pearson's correlation to identify those associated with extent of metastatic disease. For a subset (n=83), we also identified features associated with overall survival (OS) using Cox proportional hazards models.

Results

We found that the

SUBMITTER: Boehm KM 

PROVIDER: S-EPMC12541869 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature