Pre-selecting radiomic features based on their robustness to changes in imaging properties of multicentre data: impact on predictive modelling performance compared to ComBat harmonization of all available features

40 null Purpose: null null Radiomic features are potential imaging biomarkers for prognosis and predictive modeling in oncology. Selection of features sufficiently robust or even completely insensitive to the variability of imaging characteristics in multicenter data (scanner mode, acquisition protocols and/or reconstruction settings), may help building robust models, however it also may lead to loss of potentially useful information (predictive...