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Summary

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

Click the Download button to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever. Click the Search button to open our Data Portal, where you can browse the data collection and/or download a subset of its contents.

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

 

DICOM Metadata Digest (CSV)

Click the Versions tab for more info about data releases.

Detailed Description

Collection Statistics

 

Modalities

CT, PET

Number of Patients

244

Number of Studies

275

Number of Series

1349

Number of Images

269,511

Image Size (GB)83.27

Citations & Data Usage Policy 

This collection is freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License.  See TCIA's Data Usage Policies and Restrictions for additional details. Questions may be directed to help@cancerimagingarchive.net.

Please be sure to include the following citations in your work if you use this data set:

Data Citation

Muzi, Peter, Wanner, Michelle, & Kinahan, Paul. (2015). Data From RIDER Lung PET-CT. The Cancer Imaging Archive. http://doi.org/10.7937/K9/TCIA.2015.OFIP7TVM

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. (paper)

 

Other Publications Using This Data

TCIA maintains a list of publications which leverage our data. At this time we are not aware of any additional publications based on this data. If you have a publication you'd like to add please contact the TCIA Helpdesk.

Version 2: Updated 2015/12/29

Downloads require the NBIA Data Retriever.

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

 

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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