Computed Tomography Radiomics Features Predict Change in Lung Density and Rate of Emphysema Progression.

ABSTRACT: Rationale: Emphysema progression is heterogeneous. Predicting temporal changes in lung density and detecting rapid progressors may facilitate the selection of individuals for targeted therapies. Objectives: To test whether computed tomography (CT) radiomics can be used to predict changes in lung density and detect rapid progressors. Methods: We extracted radiomics features from inspiratory chest CT in 4,575 subjects with and without airflow obstruction at enrollment, who completed a follow-up visit at approximately 5 years. We quantified emphysema using adjusted lung density (ALD) and estimated emphysema progression as the annualized change in ALD (ΔALD/yr) between visits. We categorized participants into rapid progressors (>1% ΔALD/yr) and stable disease (≤1% ΔALD/yr)

SUBMITTER: Saha P 

PROVIDER: S-EPMC11708762 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature