Reliability and prognostic value of radiomic features are highly dependent on choice of feature extraction platform.

ABSTRACT:

Objective

To investigate the effects of Image Biomarker Standardisation Initiative (IBSI) compliance, harmonisation of calculation settings and platform version on the statistical reliability of radiomic features and their corresponding ability to predict clinical outcome.

Methods

The statistical reliability of radiomic features was assessed retrospectively in three clinical datasets (patient numbers: 108 head and neck cancer, 37 small-cell lung cancer, 47 non-small-cell lung cancer). Features were calculated using four platforms (PyRadiomics, LIFEx, CERR and IBEX). PyRadiomics, LIFEx and CERR are IBSI-compliant, whereas IBEX is not. The effects of IBSI compliance, user-defined calculation settings and platform version were assessed by calculating intraclass correlation coef

SUBMITTER: Fornacon-Wood I 

PROVIDER: S-EPMC7553896 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature