Reliability of CT radiomic features reflecting tumour heterogeneity according to image quality and image processing parameters.

ABSTRACT: The reliability of radiomics features (RFs) is crucial for quantifying tumour heterogeneity. We assessed the influence of imaging, segmentation, and processing conditions (quantization range, bin number, signal-to-noise ratio [SNR], and unintended outliers) on RF measurement. Low SNR and unintended outliers increased the standard deviation and mean values of histograms to calculate the first-order RFs. Variations in imaging processing conditions significantly altered the shape of the probability distribution (centre of distribution, extent of dispersion, and segmentation of probability clusters) in second-order RF matrices (i.e. grey-level co-occurrence and grey-level run length), thereby eventually causing fluctuations in RF estimation. Inconsistent imaging and processing conditions decre

SUBMITTER: Park BW 

PROVIDER: S-EPMC7052198 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature