CT radiomics based model for differentiating malignant and benign small (≤20mm) solid pulmonary nodules.

ABSTRACT:

Background

Currently, the computed tomography (CT) radiomics-based models, which can evaluate small (≤ 20 mm) solid pulmonary nodules (SPNs) are lacking. This study aimed to develop a CT radiomics-based model that can differentiate between benign and malignant small SPNs.

Methods

This study included patients with small SPNs between January 2019 and November 2021. The participants were then randomly categorized into training and testing cohorts with an 8:2 ratio. CT images of all the patients were analyzed to extract radiomics features. Furthermore, a radiomics scoring model was developed based on the features selected in the training group via univariate and multivariate logistic regression analyses. The testing cohort was then used to validate the developed predictive model

SUBMITTER: Sun JX 

PROVIDER: S-EPMC11864964 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature