The influence of image selection and segmentation on the extraction of lung cancer imaging radiomics features using 3D-Slicer software.

ABSTRACT:

Purpose

Extracting image features can predict the prognosis and treatment effect of non-small cell lung cancer, which has been increasingly confirmed. However, the specific operation using 3D-Slicer still lacks standardization. For example, image segmentation is manually performed based on the lung window or automatically performed through the mediastinal window. The images used for feature extraction are either enhanced or plain scanned. It is questionable whether these influencing factors will affect the extraction results and which results will be affected. This article intends to preliminarily explore the above issues.

Methods

This article downloaded images of 22 patients with lung cancer from The Cancer Imaging Archive (TCIA), including 11 cases of adenocarcinoma and 11

SUBMITTER: Liu C 

PROVIDER: S-EPMC12007235 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature