CT whole lung radiomic nomogram: a potential biomarker for lung function evaluation and identification of COPD.

ABSTRACT:

Background

Computed tomography (CT) plays a great role in characterizing and quantifying changes in lung structure and function of chronic obstructive pulmonary disease (COPD). This study aimed to explore the performance of CT-based whole lung radiomic in discriminating COPD patients and non-COPD patients.

Methods

This retrospective study was performed on 2785 patients who underwent pulmonary function examination in 5 hospitals and were divided into non-COPD group and COPD group. The radiomic features of the whole lung volume were extracted. Least absolute shrinkage and selection operator (LASSO) logistic regression was applied for feature selection and radiomic signature construction. A radiomic nomogram was established by combining the radiomic score and clinical factors.

SUBMITTER: Zhou TH 

PROVIDER: S-EPMC10877876 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature