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The RIDER Lung CT collection was constructed as part of a study to evaluate the variability of tumor unidimensional, bidimensional, and volumetric measurements on same-day repeat computed tomographic (CT) scans in patients with non–small cell lung cancer.

Thirty-two patients with non–small cell lung cancer, each of whom underwent two CT scans of the chest within 15 minutes by using the same imaging protocol, were included in this study. Three radiologists independently measured the two greatest diameters of each lesion on both scans and, during another session, measured the same tumors on the first scan. In a separate analysis, computer software was applied to assist in the calculation of the two greatest diameters and the volume of each lesion on both scans. Concordance correlation coefficients (CCCs) and Bland-Altman plots were used to assess the agreements between the measurements of the two repeat scans (reproducibility) and between the two repeat readings of the same scan (repeatability).

Data Access

Data TypeDownload all or Query/FilterLicense
Images (DICOM, 7.55GB)


(Download requires the NBIA Data Retriever)

DICOM Metadata Digest (CSV, 31 kB)
Lesion Notes (XLS, )

Click the Versions tab for more info about data releases.

Additional Resources for this Dataset

The NCI Cancer Research Data Commons (CRDC) provides access to additional data and a cloud-based data science infrastructure that connects data sets with analytics tools to allow users to share, integrate, analyze, and visualize cancer research data.

Third Party Analyses of this Dataset

TCIA encourages the community to publish your analyses of our datasets. Below is a list of such third party analyses published using this Collection:

Detailed Description

Radiology Imaging Statistics



Number of Participants


Number of Studies


Number of Series


Number of Images


Image Size (GB)7.55

Please contact TCIA's Helpdesk with any questions regarding usage.

Citations & Data Usage Policy 

Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution should include references to the following citations:

Data Citation

Zhao, B., Schwartz, L. H., & Kris, M. G. (2015). Data From RIDER Lung CT (Version 2) [Data set]. The Cancer Imaging Archive. DOI: 10.7937/k9/tcia.2015.u1x8a5nr

Publication Citation

Zhao, B., James, L. P., Moskowitz, C. S., Guo, P., Ginsberg, M. S., Lefkowitz, R. A., Qin, Y., Riely, G. J., Kris, M. G., & Schwartz, L. H. (2009). Evaluating Variability in Tumor Measurements from Same-day Repeat CT Scans of Patients with Non–Small Cell Lung Cancer. In Radiology (Vol. 252, Issue 1, pp. 263–272). Radiological Society of North America (RSNA).

TCIA Citation

Clark, K., Vendt, B., Smith, K., Freymann, J., Kirby, J., Koppel, P., Moore, S., Phillips, S., Maffitt, D., Pringle, M., Tarbox, L., & Prior, F. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. In Journal of Digital Imaging (Vol. 26, Issue 6, pp. 1045–1057). Springer Science and Business Media LLC. PMCID: PMC3824915

Other Publications Using This Data

TCIA maintains a list of publications which leverage our data.  

  1. Radiomics of Lung Nodules: A Multi-Institutional Study of Robustness and Agreement of Quantitative Imaging Features.  DOI:10.18383/j.tom.2016.00235
  2. Textural Analysis of Tumour Imaging: A Radiomics Approach.

If you have a manuscript you'd like to add please contact TCIA's Helpdesk.

Version 2 (Current): Updated 2014/11/14

Data TypeDownload all or Query/Filter
Images (DICOM, 7.55GB)


(Download requires the NBIA Data Retriever)

DICOM Metadata Digest (CSV)

It was brought to our attention that the  RIDER-8509201188 patient contained 2 identical image series rather than the correct secondary/repeat series. The duplicate series has been removed (UID:, but we are unable to obtain the correct series at this point.

Version 1: Updated 2012/10/18

Initial upload of data set.

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