Data from: 4DCT imaging to assess radiomics feature stability: an investigation for thoracic cancers

Abstract

Background and Purpose Quantitative tissue characteristics derived from medical images, also called radiomics, contain valuable prognostic information in several tumour-sites. The large number of features available increases the risk of overfitting. Typically test-retest CT-scans are used to reduce dimensionality and select robust features. However, these scans are not always available. We propose to use different phases of respiratory-correlated 4D CT-scans (4DCT) as alternative.  Materials and Methods In test-retest CT-scans of 26 non-small cell lung cancer (NSCLC) patients and 4DCT-scans..