Robustness of radiomic features in CT images with different slice thickness, comparing liver tumour and muscle.

ABSTRACT: Radiomic image features are becoming a promising non-invasive method to obtain quantitative measurements for tumour classification and therapy response assessment in oncological research. However, despite its increasingly established application, there is a need for standardisation criteria and further validation of feature robustness with respect to imaging acquisition parameters. In this paper, the robustness of radiomic features extracted from computed tomography (CT) images is evaluated for liver tumour and muscle, comparing the values of the features in images reconstructed with two different slice thicknesses of 2.0 mm and 5.0 mm. Novel approaches are presented to address the intrinsic dependencies of texture radiomic features, choosing the optimal number of grey levels and correctin

SUBMITTER: Escudero Sanchez L 

PROVIDER: S-EPMC8050292 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature