The emerging field of radiomics aims at analyzing quantitative features derived from medical
images to characterize tissue and support clinical decision-making. However, an extensive …

Radiomics involves high-throughput extraction of large numbers of quantitative features from
medical images and analysis of these features to predict patients' outcome and support …

Radiomic analysis has exponentially increased the amount of quantitative data that can be
extracted from a single image. These imaging biomarkers can aid in the generation of …

Objective Before implementing radiomics in routine clinical practice, comprehensive
knowledge about the repeatability and reproducibility of radiomic features is required. The …

Background Magnetic resonance imaging (MRI) has many different alterable parameters
that affect how an image appears. This is relevant in radiomics which produces quantitative …

Objectives The aim of this study was to investigate the robustness and reproducibility of
radiomic features in different magnetic resonance imaging sequences. Materials and …

The field of radiomics is at the forefront of personalized medicine. However, there is concern
that high variation in imaging parameters will impact robustness of radiomic features and …

The effect of time of repetition (TR) and time of echo (TE) on radiomic features was
evaluated using a virtual phantom. Forty-two T1-weighted MRI images of the same virtual …

The recent advent of radiomics has enabled the development of prognostic and predictive
tools which use routine imaging, but a key question that still remains is how reproducible …

Featured Application This study provides quantitative data about the loss of informative
content of MRI radiomic features when calculated on small volumes. Besides providing …