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The Reference Imag= e Database to Evaluate Therapy Response (RIDER) was a targeted data col= lection initiative used to generate an initial consensus on how to harmoniz= e data collection and analysis for quantitative imaging methods applied to = measure the response to drug or radiation therapy. The long term goal was t= o provide a resource to permit harmonized methods for data collection and a= nalysis across different commercial imaging platforms to support multi-site= clinical trials, using imaging as a biomarker for therapy response. = See RIDER Collections for more information and other da= tasets that were part of this project.
RIDER Pilot was originally supported under supplemental funding for the = Data from The Lung Image Database Consortium (LIDC)= and Image Database Resource Initiative (IDRI): A completed reference datab= ase of lung nodules on CT scans (LIDC-IDRI) U01 project and focused on = the collection of longitudinal studies using X-ray CT for monitoring the re= sponse to therapy. The data came primarily from the M.D. Anderson Cancer Ce= nter and several of the LIDC academic sites. The original dataset contained= 322 subjects and was originally published on the NCI CBIIT insta= nce of NBIA before it was eventually retired in 2011. However, 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.
Data Type | Download all or Query/Filter | License |
---|---|---|
Images (DICOM, 10.4 GB) |
(Download re= quires NBIA Data Retriever) |
Click the Versions tab for more info about data releases.
The NCI Cancer Research Data Commons (CRDC) provides access to additiona= l data and a cloud-based data science infrastructure that connects data set= s with analytics tools to allow users to share, integrate, analyze, and vis= ualize cancer research data.
TCIA encourages the community to = pub= lish your analyses of our datasets. Below is a list of such third party= analyses published using this Collection:
Image Statistics |
Radiology Image Statistics |
---|---|
Modalities |
CT, CR, DX <= /td> |
Number of Patients |
8 |
Number of Studies |
54 |
Number of Series |
194 |
Number of Images |
20,531 |
Images Size (GB) | 10.4 |
Users must abide by the TCIA Data Usage Policy an= d Restrictions. Attribution should include references to the following = citations:
Data Citation
Lung Image Database Consortium (LIDC). (2023) R= IDER Pilot [Data set]. The = Cancer Imaging Archive (TCIA). https://doi.org/10.7937/m87f-mz83
TCIA Citation
Clark, K., Vendt, B., Smith, K., Frey= mann, J., Kirby, J., Koppel, P., Moore, S., Phillips, S., Maffitt, D., Prin= gle, M., Tarbox, L., & Prior, F. (2013). The Cancer Imag= ing Archive (TCIA): Maintaining and Operating a Public Information Reposito= ry. In Journal of Digital Imagi= ng (Vol. 26, Issue 6, pp. 1045=E2=80=931057). Springer Science and Business= Media LLC. https://doi.org/10.1007/s10278-013-9622-7= a> PMCID: PMC3824915
TCIA maintains a list of = publications which leverage our data. If you have a manus= cript you'd like to add please contact TCIA's Helpde= sk.
Data Type | Download all or Query/Filter | License |
---|---|---|
Images (DICOM, 10.4 GB) |
(Download re= quires NBIA Data Retriever) |