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.
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:
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.
Lung CT Statistics | Updated 11/14/2013 |
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Modalities | CT |
Number of Participants | 32 |
Number of Studies | 46 |
Number of Series | 63 |
Number of Images | 15,419 |
Images Size (GB) | 7.55 |
Phantom PET-CT Collection Statistics | |
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Modalities | CT, PT |
Number of Participants | 20 |
Number of Studies | 20 |
Number of Series | 60 |
Number of Images | 2,231 |
Images Size (MB) | 689 |
Lung PET CT Statistics | Updated 11/14/2013 |
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Modalities | CT, PT |
Number of Participants | 244 |
Number of Studies | 275 |
Number of Series | 1349 |
Number of Images | 269,511 |
Images Size (GB) | 78.7 |
Neuro MRI Statistics | |
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Modalities | MR |
Number of Participants | 19 |
Number of Studies | 108 |
Number of Series | 368 |
Number of Images | 70,220 |
Images Size (GB) | 7.3 |
Breast MRI Statistics | Updated 2011/11/08 |
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Modalities | MR |
Number of Participants | 5 |
Number of Studies | 10 |
Number of Series | 40 |
Number of Images | 1500 |
Phantom MRI Statistics | |
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Modalities | MR |
Number of Participants | 10 |
Number of Studies | 13 |
Number of Series | 45 |
Number of Images | 7,061 |
Images Size (GB) | 3.4 |
MULTI SITE STUDY (Total of 20 sites): Organized under a contract with the University of Michigan
RSNA QIBA AND NCI (RIDER and IRAT)
FDA CDRH: Partly funded by NCI and NIBIB
NIST
This data collection was originally supported under supplemental funding for the Lung Image Database Consortium (LIDC) U01 project and focused on the collection of longitudinal studies using X-ray CT for monitoring the response to therapy. The data came primarily from the M.D. Anderson Cancer Center and several of the LIDC academic sites. The data is not annotated. A small subset of the RIDER Pilot data (8 subjects) which were analyzed in QIBA VolCT Group 1B Round 2 No Change Size Measurements (QIBA-VolCT-1B) have been re-released on TCIA.
Pilot Statistics | |
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Modalities | CR, CT, DX |
Number of Participants | 322 |
Number of Studies | 1,779 |
Number of Series | 4,930 |
Number of Images | 384,535 |