Summary
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. Much of this data is not annotated and is not hosted in The Cancer Imaging Archive but was from the NBIA. The portion of these data which were analyzed in QIBA-VolCT-NoChange-1B are available here.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. See RIDER Collections for more information.
RIDER Pilot (2005-2007)
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. Much of this data is not annotated and is not hosted in The Cancer Imaging Archive but was from the NBIA and are described in the below table. The portion of these data which were analyzed in QIBA-VolCT-NoChange-1B were imported to TCIA and comprise this Collection.
Original Pilot Statistics | |
|---|---|
Modalities | CT, DX |
Number of Participants | 322 |
Number of Studies | 1,779 |
Number of Series | 4,930 |
Number of Images | 384,535 |
Data Access
| Data Type | Download all or Query/Filter | License |
|---|---|---|
Images (DICOM, XX.X GB) | (Download requires NBIA Data Retriever) | |
| Clinical data (CSV) |
Click the Versions tab for more info about data releases.
Additional Resources for this Dataset
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)
Third Party Analyses of this Dataset
TCIA encourages the community to publish your analyses of our datasets. Below is a list of such third party analyses published using this Collection:
Detailed Description
Image Statistics | Radiology Image Statistics |
|---|---|
Modalities | CT, CR, DX |
Number of Patients | 8 |
Number of Studies | 54 |
Number of Series | 194 |
Number of Images | |
| Images Size (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
DOI goes here. Create using Datacite with information from Collection Approval form
Lung Image Database Consortium (LIDC). (2023) The Cancer Imaging Archive (TCIA). https://doi.org/10.7937/m87f-mz83
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. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. In Journal of Digital Imaging (Vol. 26, Issue 6, pp. 1045–1057). Springer Science and Business Media LLC. 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 manuscript you'd like to add please contact TCIA's Helpdesk.