Localtab |
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active | true |
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title | Data Access |
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| Data AccessData Type | Download all or Query/Filter |
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Images and Radiation Therapy Structures (DICOM, 9.3 GB) |
(Download requires the NBIA Data Retriever) |
Click the Versions tab for more info about data releases. Please contact help@cancerimagingarchive.net with any questions regarding usage. |
Localtab |
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title | Detailed Description |
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| Detailed DescriptionImage Statistics |
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Modalities | PT, CT, and RT | Number of Patients | 40 | Number of Studies | 40 | Number of Series | 240 | Number of Images | 16,962 | Images Size (GB) | 9.3 GB |
Some notes about abbreviations in the dataset:
BSCB = “Bowel_sm” structure drawn on conebeam CT LL, LR = Lung left, Lung right SDCB = Stomach-duodenum structure on conebeam 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.
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Localtab |
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title | Citations & Data Usage Policy |
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| Citations & Data Usage Policy Tcia license 4 international |
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Info |
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| DOI goes here. Create using Datacite with information from Collection Approval form Title: Breath-hold CT and cone-beam CT images with expert manual organ-at-risk segmentations from radiation treatments of locally advanced pancreatic cancer Authors: Jun Hong PhD 0000-0001-5671-5978; Marsha Reyngold MD 0000-0001-9475-146X; Christopher Crane MD 0000-0001-5143-2784; John Cuaron MD 0000-0003-0234-5451; Carla Hajj MD 0000-0001-8774-1845; Justin Mann MD 0000-0001-7225-4112; Melissa Zinovoy MD 0000-0002-9142-4356; Ellen Yorke PhD 0000-0003-2604-3140; Eve LoCastro MS 0000-0003-3975-8153; Aditya P. Apte PhD 0000-0001-8120-0669; Gig Mageras PhD 0000-0001-9851-4306 |
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title | Publication Citation |
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| Hong J, Reyngold M, et al. Breath-hold CT and cone-beam CT images with expert manual organ-at-risk segmentations from radiation treatments of locally advanced pancreatic cancer. Medical Physics Dataset Article [to be submitted upon availability of dataset in TCIA] |
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title | Acknowledgement | Publication Citation |
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| 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.14906Only if they ask for special acknowledgments like funding sources, grant numbers, etc in their proposal. |
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| 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. DOI: 10.1007/s10278-013-9622-7 |
Other Publications Using This DataTCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk. |
Localtab |
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| Version 1 (Current): Updated 2021/mm/ddData Type | Download all or Query/Filter |
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Images (DICOM, 9.3 GB) | |
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