Data Access
Data Type | Download all or Query/Filter | License |
---|---|---|
Images and Radiation Therapy Structures (DICOM, 13.3 GB) | (Download requires the NBIA Data Retriever) | |
Reference RT to Planning CT table (XLSX, 13 kB) |
Click the Versions tab for more info about data releases.
Please contact help@cancerimagingarchive.net with any questions regarding usage.
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)
Detailed Description
Radiology Image Statistics | |
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Modalities | CT, RTDOSE, RTSTRUCT |
Number of Patients | 40 |
Number of Studies | 40 |
Number of Series | 370 |
Number of Images | 24,246 |
Images Size (GB) | 13.3 GB |
Some notes about abbreviations in the dataset:
BSCB =“Bowel_sm” (i.e. small bowel) structure drawn on cone-beam CT
LL, LR = Lung left, Lung right
SDCB = Stomach-duodenum structure on cone-beam CT
SBPC = misspelled, should be BSPC which stands for Bowel Small in planning CT
SDPC = Stomach-duodenum on planning CT
BSPC = Bowel Small on planning CT
DIBH = “Deep inspiration breath hold”, may occur in the study description of the planning CT; will be explained in the text to users
“UNAPPROVED” = means that the contours were not approved for clinical use but they were checked by the research team.
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
Hong, J., Reyngold, M., Crane, C., Cuaron, J., Hajj, C., Mann, J., Zinovoy, M., Yorke, E., LoCastro, E., Apte, A. P., & Mageras, G. (2021). Breath-hold CT and cone-beam CT images with expert manual organ-at-risk segmentations from radiation treatments of locally advanced pancreatic cancer [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.ESHQ-4D90
Publication Citation
Han, X., Hong, J., Reyngold, M., Crane, C., Cuaron, J., Hajj, C., Mann, J., Zinovoy, M., Greer, H., Yorke, E., Mageras, G., & Niethammer, M. (2021). Deep‐learning‐based image registration and automatic segmentation of organs‐at‐risk in cone‐beam CT scans from high‐dose radiation treatment of pancreatic cancer. Medical Physics, 48(6), 3084–3095. https://doi.org/10.1002/mp.14906
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. https://doi.org/10.1007/s10278-013-9622-7
Other Publications Using This Data
TCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk.
- Hong, J., Reyngold, M., Crane, C., Cuaron, J., Hajj, C., Mann, J., Zinovoy, M., LoCastro, E., Apte, A., Mageras, G. CT and cone-beam CT of ablative radiation therapy for pancreatic cancer with expert organ-at-risk contours. Sci Data 9, 637 (2022). https://doi.org/10.1038/s41597-022-01758-9
Version 2 (Current): Updated 2022/08/23
Data Type | Download all or Query/Filter | License |
---|---|---|
Images and Radiation Therapy Structures (DICOM, 13.3 GB) | (Download requires the NBIA Data Retriever) | |
Reference RT to Planning CT table (XLSX, 13 kB) |
This change reflects an extension of the current dataset: the authors have added RT Dose files and original cone-beam CT images to the collection. The RT Dose consists of the dose distribution calculated on the planning CT and enables dosimetric analysis of the structures in the planning CT and in the resampled CBCT scans. The original CBCT images are those that were obtained in the clinical environment; as such they are useful for developing algorithms to be applied in the clinic. Ten of these original-format CBCT scans, from ten different patients (see the excel file provided with this version), are accompanied by RT Structure Sets containing repeat OAR delineations by two independent observers and contained within the VOI. The repeat delineations provide an informative way of seeing where two experts agree and disagree in the CBCT images.
Version 1: Updated 2021/10/15
Data Type | Download all or Query/Filter |
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Images and Radiation Therapy Structures (DICOM, 9.3 GB) |