Radiomics feature stability of open-source software evaluated on apparent diffusion coefficient maps in head and neck cancer.

ABSTRACT: Radiomics is a promising technique for discovering image based biomarkers of therapy response in cancer. Reproducibility of radiomics features is a known issue that is addressed by the image biomarker standardisation initiative (IBSI), but it remains challenging to interpret previously published radiomics signatures. This study investigates the reproducibility of radiomics features calculated with two widely used radiomics software packages (IBEX, MaZda) in comparison to an IBSI compliant software package (PyRadiomics). Intensity histogram, shape and textural features were extracted from 334 diffusion weighted magnetic resonance images of 59 head and neck cancer (HNC) patients from the PREDICT-HN observational radiotherapy study. Based on name and linear correlation, PyRadiomics shares 83

SUBMITTER: Korte JC 

PROVIDER: S-EPMC8417253 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature