Robustness of radiomic features in magnetic resonance imaging for patients with glioblastoma: Multi-center study.

ABSTRACT:

Background and purpose

Radiomics offers great potential in improving diagnosis and treatment for patients with glioblastoma multiforme. However, in order to implement radiomics in clinical routine, the features used for prognostic modelling need to be stable. This comprises significant challenge in multi-center studies. The aim of this study was to evaluate the impact of different image normalization methods on MRI features robustness in multi-center study.

Methods

Radiomics stability was checked on magnetic resonance images of eleven patients. The images were acquired in two different hospitals using contrast-enhanced T1 sequences. The images were normalized using one of five investigated approaches including grey-level discretization, histogram matching and z-score. Then,

SUBMITTER: Saltybaeva N 

PROVIDER: S-EPMC9130546 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature