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title | Data Access |
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| Data AccessData Type | Download all or Query/Filter |
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Images, Segmentations, and Radiation Therapy Structures/Doses/Plans XXX << latter two items only if DICOM SEG/RTSTRUCT/RTDOSE/PLAN exist >> Image RemovedImage Removed (Download requires the NBIA Data Retriever) | Tissue Slide Images (SVS, XX.X GB) | Image RemovedImage Removed | Clinical data (CSV) | Image Removed | Genomics (web) |
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url | https://wiki.cancerimagingarchive.net/download/attachments/70226443/COVID-19-AR-July132020_NBIA-manifest.tcia?version=1&modificationDate=1594658316635&api=v2 |
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label | Search |
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url | https://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=COVID-19-AR |
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(Download requires the NBIA Data Retriever) | | Clinical data (CSV, 46 kB) |
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url | https://wiki.cancerimagingarchive.net/download/attachments/70226443/COVID-19%20AR%20Clinical%20Correlates%20July202020.xlsx?version=1&modificationDate=1594659431356&api=v2 |
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| | Image RemovedClick the Versions tab for more info about data releases. Please contact help@cancerimagingarchive.net with any questions regarding usage. Additional Resources for this DatasetThe following external resources have been made available by the data submitters. These are not hosted or supported by TCIA, but may be useful to researchers utilizing this collection. 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.
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title | Detailed Description |
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| Detailed DescriptionImage Statistics |
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Modalities | CT and X-Ray, CR, DX | Number of Patients | 88105 | Number of Studies | 197256 | Number of Series | 461 | Number of Images | 31,935 | Images Size (GB) |
<< Add any additional information as needed below. Likely would be something from site. >>
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title | Citations & Data Usage Policy |
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| Citations & Data Usage Policypubliccollection Info |
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| DOI goes here. Create using Datacite with information from Collection Approval form | Desai, S., Baghal, A., Wongsurawat, T., Al-Shukri, S., Gates, K., Farmer, P., Rutherford, M., Blake, G.D., Nolan, T., Powell, T., Sexton, K., Bennett, W., Prior, F. (2020). Data from Chest Imaging with Clinical and Genomic Correlates Representing a Rural COVID-19 Positive Population [Data set]. The Cancer Imaging Archive. DOI: https://doi.org/10.7937/tcia.2020.py71-5978. |
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| This project has been funded in whole or in part with federal funds from the National Center for Advancing Translational Sciences UL1 TR003107 and the National Cancer Institute, Contract No. 75N91019D00024, Subcontract 20X023F. |
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title | Publication Citation |
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| Desai, S., Baghal, A., Wongsurawat, T., Jenjaroenpun, P., Powell, T., Al-Shukri, S., Gates, K., Farmer, P., Rutherford, M., Blake, G., Nolan, T., Sexton, K., Bennett, W., Smith, K., Syed, S., Prior, F. (2020). Chest imaging representing a COVID-19 positive rural U.S. population. Scientific Data. 2020;7(1):414. doi: https://doi.org/10.1038/s41597-020-00741-6 | Info |
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title | Publication Citation |
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| We ask on the proposal form if they have ONE traditional publication they'd like users to cite. |
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title | Acknowledgement | Publication Citation |
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| Jenjaroenpun, P., Wanchai, V., OnoMoore, K.D., Laudadio, J., James, L.P., Adams, S.H., Prior, F., Nookaew, I., Ussery, D.W., Wongsurawat, T. (2020). Two SARS-CoV-2 genome sequences of isolates from rural U.S. patients harboring the D614G mutation, obtained using Nanopore sequencing. Microbiology Resource Announcements, 2020. DOI: https://doi.org/10.1128/MRA.01109-20. Only 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. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, . In Journal of Digital Imaging , Volume (Vol. 26, Number Issue 6, December, 2013, pp 1045-1057. DOI: pp. 1045–1057). Springer Science and Business Media LLC. https://doi.org/10.1007/s10278-013-9622-7 PMCID: PMC3824915 |
Other Publications Using This DataTCIA maintains a list of publications which leverage TCIA our data. If you have a manuscript you'd like to add please contact the TCIA's Helpdesk. |
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| Version X 1 (Current): Updated yyyy2020/mm07/dd13Data Type | Download all or Query/Filter |
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Images (DICOM, xx19. x GB)0 GB) |
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url | https://wiki.cancerimagingarchive.net/download/attachments/70226443/COVID-19-AR-July132020_NBIA-manifest.tcia?version=1&modificationDate=1594658316635&api=v2 |
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label | Search |
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url | https://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=COVID-19-AR |
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| Image RemovedImage Removed
(Requires NBIA Data Retriever.) | Clinical Data (CSV) | Link | Other (format) | Image Removed |
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url | https://wiki.cancerimagingarchive.net/download/attachments/70226443/COVID-19%20AR%20Clinical%20Correlates%20July202020.xlsx?version=1&modificationDate=1594659431356&api=v2 |
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Additional Resources for this Dataset
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