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 The RIDER Lung PET-CT collection was shared to facilitate the RIDER PET/CT subgroup activities. The PET/CT subgroup was responsible for: (1) archiving de-identified DICOM serial PET/CT phantom and lung cancer patient data in a public database to provide a resource for the testing and development of algorithms and imaging tools used for assessing response to therapy, (2) conducting multiple serial imaging studies of a long half-life phantom to assess systemic variance in serial PET/CT scans that is unrelated to response, and (3) identifying and recommending methods for quantifying sources of variance in PET/CT imaging with the goal of defining the change in PET measurements that may be unrelated to response to therapy, thus defining the absolute minimum effect size that should be used in the design of clinical trials using PET measurements as end points.

Data Access

Data TypeDownload all or Query/FilterLicense
Images (DICOM, 83.27GB)


(Download requires the NBIA Data Retriever)

DICOM Metadata Digest (CSV, 245 kB)

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.

Detailed Description

Radiology Image Statistics



Number of Patients


Number of Studies


Number of Series


Number of Images


Image Size83.27 GB

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

Muzi P, Wanner M, & Kinahan P. (2015). Data From RIDER Lung PET-CT. The Cancer Imaging Archive.

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. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. DOI:

Other Publications Using This Data

TCIA maintains a list of publications which leverage our data. If you have a publication you'd like to add please contact TCIA's Helpdesk.

Version 2 (Current): Updated 2015/12/29

Data TypeDownload all or Query/Filter
Images (DICOM, 78.7GB)


(Download requires the NBIA Data Retriever)

DICOM Metadata Digest (CSV)

It was brought to our attention that RIDER-1817358092 and RIDER-2617411955 appeared to be the same patient.  We have gone back to University of Washington and confirmed this is to be true.  RIDER-1817358092 has been removed as RIDER-2617411955 contained a couple additional series that were absent from the patient ID we removed

Version 1: Updated 2011/09/14

Initial upload of data set.

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