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.


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 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.


Detailed Description


Radiology Image Statistics

Modalities

CT, PT

Number of Patients

244

Number of Studies

275

Number of Series

1349

Number of Images

269,511

Image Size83.27 GB



Citations & Data Usage Policy 

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


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 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.