TCIA RIDER Lung CT (Test-Retest)

Overview

The RIDER Lung CT collection is a test-retest stability dataset comprising 31 NSCLC patients who underwent two CT scans approximately 15 minutes apart under identical conditions. It was used by Aerts et al. 2014 to assess the reproducibility of the 440-feature CT radiomic library and to identify features suitable for stable prognostic modelling. The dataset is hosted on TCIA by the Reference Image Database to Evaluate Therapy Response (RIDER) consortium. PMID:24892406

Composition

  • Cancer type: NSCLC, n=31.
  • Modality: CT; two acquisitions ~15 minutes apart per patient.
  • Purpose: feature-level test-retest reproducibility assessment.
  • Role in Aerts 2014: stability sub-study; features with high test-retest stability ranks tend to also have higher prognostic performance, supporting stability-based feature pre-filtering. PMID:24892406

Assays / panels (linked)

  • CT radiomics — 440-feature library reproducibility evaluation.

Papers using this cohort

  • PMID:24892406 — Aerts et al. 2014, Nature Communications: RIDER used to quantify test-retest radiomic feature stability as a principled prefilter for prognostic feature selection.

Notable findings derived from this cohort

  • Features with higher test-retest stability ranks in RIDER also tended to have higher prognostic performance in validation cohorts, validating stability-based feature selection as an anti-overfitting prefilter. PMID:24892406

Sources

  • TCIA collection: RIDER Lung CT — https://www.cancerimagingarchive.net/collection/rider-lung-ct/
  • PMID:24892406 — Aerts et al. 2014, Nature Communications, DOI 10.1038/ncomms5006.

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