Purpose: We investigated whether a compensation method could correct for the variations of
radiomic feature values caused by the use of different CT protocols. Materials and Methods …

Background Radiomics extracts features from medical images more precisely and more
accurately than visual assessment. However, radiomics features are affected by CT scanner …

Purpose: Radiomics is an emerging field with the potential to use CT textures to predict
clinical outcomes for cancer patients. The effect of different scanner use on CT texture …

Purpose To identify the reproducible and nonredundant radiomics features (RFs) for
computed tomography (CT). Materials and Methods Two phantoms were used to test RF …

Background Existing studies have demonstrated that imaging parameters may affect
radiomic features. However, the influence of feature calculating parameters has been …

Purpose This study first aims to show that the values of texture features extracted from
phantoms are stable over clinical timescales. Second, that changes in patients' feature …

Background In radiomics studies, differences in the volume of interest (VOI) are often
inevitable and may confound the extracted features. We aimed to correct this confounding …

Objective To determine the intra‐, inter‐and test‐retest variability of CT‐based texture
analysis (CTTA) metrics. Materials and methods In this study, we conducted a series of CT …

Consistent pixel sizes are of fundamental importance for assessing texture features that
relate intensity and spatial information in radiomics studies. To correct for the effects of …

Background Results of recent phantom studies show that variation in CT acquisition
parameters and reconstruction techniques may make radiomic features largely …