Developing of risk models for small solid and subsolid pulmonary nodules based on clinical and quantitative radiomics features.

ABSTRACT:

Background

Accurate evaluation of pulmonary nodule malignancy is important for lung cancer management. This current study aimed to develop risk models for small solid and subsolid pulmonary nodules based on clinical and quantitative radiomics features.

Methods

This study enrolled 5-20 mm pulmonary nodules detected on thoracic high-resolution computed tomography (HRCT), which were all confirmed pathologically. There were 548 solid nodules (242 malignant vs. 306 benign) and 623 subsolid nodules (SSNs 519 malignant vs. 104 benign). Relevant clinical characteristics were recorded. The CT image prior to the initial treatment was chosen for manual segmentation of the targeted nodule using the ITK-SNAP software. Subsequently, the marked image was processed to quantita

SUBMITTER: Zhang R 

PROVIDER: S-EPMC8339772 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature