A clinically relevant computed tomography (CT) radiomics strategy for intracranial rodent brain tumour monitoring.
Ontology highlight
ABSTRACT: Here, we establish a CT-radiomics based method for application in invasive, orthotopic rodent brain tumour models. Twenty four NOD/SCID mice were implanted with U87R-Luc2 GBM cells and longitudinally imaged via contrast enhanced (CE-CT) imaging. Pyradiomics was employed to extract CT-radiomic features from the tumour-implanted hemisphere and non-tumour-implanted hemisphere of acquired CT-scans. Inter-correlated features were removed (Spearman correlation > 0.85) and remaining features underwent predictive analysis (recursive feature elimination or Boruta algorithm). An area under the curve of the receiver operating characteristic curve was implemented to evaluate radiomic features for their capacity to predict defined outcomes. Firstly, we identified a subset of radiomic features which dis
SUBMITTER: Connor K
PROVIDER: S-EPMC10834979 | biostudies-literature | 2024 Feb
REPOSITORIES: biostudies-literature
ACCESS DATA