Child pages
  • Chest Imaging with Clinical and Genomic Correlates Representing a Rural COVID-19 Positive Population (COVID-19-AR)

Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

...

Additional datasets and information about TCIA efforts to support COVID-19 research can be found here.

Localtab Group


Localtab
activetrue
titleData Access

Data Access

Data TypeDownload all or Query/FilterLicense

Images (DICOM, 19.0 GB)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/70226443/COVID-19-AR-July132020_NBIA-manifest.tcia?version=1&modificationDate=1594658316635&api=v2



Tcia button generator
labelSearch
urlhttps://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=COVID-19-AR



(Download requires the NBIA Data Retriever)

Tcia cc by 4

Clinical data (CSV)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/70226443/COVID-19%20AR%20Clinical%20Correlates%20July202020.xlsx?version=1&modificationDate=1594659431356&api=v2



Tcia cc by 4

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 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.



Localtab
titleDetailed Description

Detailed Description

Image Statistics


Modalities

CT, CR, DX

Number of Patients

105

Number of Studies

256

Number of Series

461

Number of Images

31,935

Images Size (GB)19.0



Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy

Tcia limited license policy

Info
titleData Citation

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.


Info
titleAcknowledgement

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. 


Info
titlePublication Citation

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
titlePublication Citation

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

Info
titleAcknowledgement

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


Info
titleTCIA 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 , 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 Data

TCIA 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.


Localtab
titleVersions

Version 1 (Current): Updated 2020/07/13

Data TypeDownload all or Query/Filter

Images (DICOM, 19.0 GB)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/70226443/COVID-19-AR-July132020_NBIA-manifest.tcia?version=1&modificationDate=1594658316635&api=v2



Tcia button generator
labelSearch
urlhttps://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=COVID-19-AR



(Requires NBIA Data Retriever.)

Clinical Data (CSV)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/70226443/COVID-19%20AR%20Clinical%20Correlates%20July202020.xlsx?version=1&modificationDate=1594659431356&api=v2



Additional Resources for this Dataset



...