1. Association Between the Size and 3D CT-Based Radiomic Features of Breast Cancer Hepatic Metastasis
- Author
-
Velichko, Yuri S, Mozafarykhamseh, Amirhossein, Trabzonlu, Tugce Agirlar, Zhang, Zhuoli, Rademaker, Alfred W, and Yaghmai, Vahid
- Subjects
Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Breast Cancer ,Clinical Trials and Supportive Activities ,Liver Disease ,Digestive Diseases ,Cancer ,Clinical Research ,Breast Neoplasms ,Humans ,Liver Neoplasms ,Tomography ,X-Ray Computed ,Radiomics ,Texture ,Features ,Computed tomography ,Tumor size ,Gray levels ,Clinical Sciences ,Nuclear Medicine & Medical Imaging ,Clinical sciences - Abstract
PurposeTo evaluate the effect of the anatomic size on 3D radiomic imaging features of the breast cancer hepatic metastases.Materials and methodsCT 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.ResultsThree-dimensional radiomic features from GLCM demonstrate an important size dependence. The texture-feature size dependence was found to be different among feature categories and between the HM and NL, thus demonstrating a discriminatory power for the tissue type. Significant difference in the slope was found for GLCM homogeneity (NL slope = 0.004, slope difference 95% confidence interval [CI] 0.06-0.1, p
- Published
- 2021