Summary
About the RIDER project
The Reference Image Database to Evaluate Therapy Response (RIDER) is a targeted data collection used to generate an initial consensus on how to harmonize data collection and analysis for quantitative imaging methods applied to measure the response to drug or radiation therapy. The National Cancer Institute (NCI) has exercised a series of contracts with specific academic sites for collection of repeat "coffee break," longitudinal phantom, and patient data for a range of imaging modalities (currently computed tomography [CT] positron emission tomography [PET] CT, dynamic contrast-enhanced magnetic resonance imaging [DCE MRI], diffusion-weighted [DW] MRI) and organ sites (currently lung, breast, and neuro). The methods for data collection, analysis, and results are described in the new Combined RIDER White Paper Report (Sept 2008):
The long term goal is to provide a resource to permit harmonized methods for data collection and analysis across different commercial imaging platforms to support multi-site clinical trials, using imaging as a biomarker for therapy response. Thus, the database should permit an objective comparison of methods for data collection and analysis as a national and international resource as described in the first RIDER white paper report (2006):
Data Access
Data Type | Download all or Query/Filter | License |
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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.
- Imaging Data Commons (IDC) (Imaging Data)
Detailed Description
Radiology Image Statistics | |
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Modalities | CT, PT |
Number of Patients | 244 |
Number of Studies | 275 |
Number of Series | 1349 |
Number of Images | 269,511 |
Image Size | 83.27 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. https://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. DOI: https://doi.org/10.1007/s10278-013-9622-7
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 Type | Download all or Query/Filter |
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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.