Association Between the Size and 3D CT-Based Radiomic Features of Breast Cancer Hepatic Metastasis.

ABSTRACT:

Purpose

To evaluate the effect of the anatomic size on 3D radiomic imaging features of the breast cancer hepatic metastases.

Materials and methods

CT scans of 81 liver metastases from 54 patients with breast cancer were evaluated. Ten most common 3D radiomic features from the histogram and gray level co-occurrence matrix (GLCM) categories were calculated for the hepatic metastases (HM) and compared to normal liver (NL). The effect of size was evaluated by using linear mixed-effects regression models. The effect of size on different radiomic features was analyzed for both liver lesions and background liver.

Results

Three-dimensional radiomic features from GLCM demonstrate an important size dependence. The texture-feature size dependence was found to be different among

SUBMITTER: Velichko YS 

PROVIDER: S-EPMC10029938 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature