A CT-based radiomics nomogram incorporating adipose tissue to differentiate invasive adenocarcinomas among part-solid pulmonary nodules.

ABSTRACT:

Background

Accurately assessing the invasiveness of lung adenocarcinoma with part-solid pulmonary nodules is pivotal for the treatment. Recent studies have highlighted the crucial role of adipose in the growth and invasion of tumors. This study aimed to develop and validate a model by integrating radiomic features from intrathoracic adipose tissue (IAT) with clinical factors to classify lung adenocarcinoma invasiveness.

Methods

608 patients with lung adenocarcinomas were enrolled in three different centers. Radiomic features were extracted from nodules and IAT in computed tomography images. Multivariable logistic regression analysis was used to develop a nomogram model. The nomogram's performance was assessed utilizing accuracy, discrimination, and clinical benefits. The net

SUBMITTER: Qin L 

PROVIDER: S-EPMC12482856 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature