The Cancer Imaging Archive (TCIA) Public Access

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Summary

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 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):

All the image data are DICOM compliant. The data collection has two phases as described below, which have resulted in several distinct image Collections.

About the RIDER Contracts

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 goals are as follows:

  1. Develop a consensus on requirements for quantity assurance methods on longitudinal studies using phantom data as applied to each modality above.
  2. Develop a consensus on the stability of imaging platforms using repeat and longitudinal phantom measurements over the time period that therapy would be exercised.
  3. Develop a consensus on methods to measure the minimum change that can be measured using repeat and longitudinal patient or volunteer studies.
  4. Provide access to results of measurements performed on these databases by each academic site to encourage a comparison on methodologies.
  5. Provide consensus-based juried publications to encourage a broad acceptance of the methods described above.
  6. Provide a resource for NCI research networks that address quantitative imaging such as the Quantitative Imaging Network (QIN):  http://grants.nih.gov/grants/guide/pa-files/PAR-11.150.html.


The databases are being provided within an 18-month time frame from the time the contract was initiated, and the results are published within less than 2 years. The methods for data collection, analysis, and results are described in the new Combined RIDER White Paper Report (Sept 2008):


The RIDER project will be replaced when the QIN initiative is fully implemented. This research network will create database resources collected from phase 1-3 clinical trials, where clinical outcomes will be included in the metadata: http://grants.nih.gov/grants/guide/pa-files/PAR-11-150.html.

 

Data Access

Choosing the Download option will provide you with a file to launch the TCIA Download Manager to download the entire collection. If you want to browse or filter the data to select only specific scans/studies please use the Search By Collection option.

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

Click the Versions tab for more info about data releases.

Detailed Description

Collection Statistics

Updated 11/14/2013

Modalities

CT

Number of Patients

32

Number of Studies

46

Number of Series

63

Number of Images

15,419

Image Size (GB)7.55

 

Focus on Methods for Data Analysis

RIDER Lung CT: MSKCC

  • Repeat CT Measurements: Human subjects: Lung.
  • Download the related lesion notes: MSKCC RepeatCT Lesion notes for RIDER.xls.
  • Download the related publication: Zhaob-RepeatCT Radiology2009.pdf.
  • 2012-10-18 Update: 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: 1.3.6.1.4.1.9328.50.1.64033480205396366773922006817138551096), but we are unable to obtain the correct series at this point.

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:

RIDER Lung CT Citation

The Cancer Imaging Archive Team. Data From RIDER Lung CT. DOI coming soon.

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 1 (Current): Updated 2014/11/14

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