The Cancer Imaging Archive (TCIA) Public Access

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

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Summary

Radiology imaging  is playing an increasingly vital role in the diagnosis of COVID-19 patients and determining therapeutic options, patient care management and new research directions. Publicly available imaging data is essential to drive new research. All too frequently rural populations ae underrepresented in such public collections. We have published a collection of radiographic and CT imaging studies for patients who tested positive for COVID-19. Each patient is described by a unique set of clinical data correlates that includes demographics, comorbidities, selected lab data and key radiology findings. These data are cross-linked to SARS-COV-2 cDNA sequence data extracted from clinical isolates from the same population, uploaded to the Genbank repository. We believe this collection will help to define appropriate correlative data and contribute samples from this normally underrepresented population to the research community.

Acknowledgements

We would like to acknowledge the individuals and institutions that have provided data for this collection:

  • TR003107 and the UAMS Translational Research Institute, Department of Radiology and Department of Biomedical Informatics - Special thanks to First Last Names, degree PhD, MD, etc from the Department of xxxxxx, Additional Names from same location.

  • Continue with any names from additional submitting sites if collection consists of more that one.

Data Access

Data TypeDownload all or Query/Filter

Images (DICOM, XX.X GB)

CTs, DX, 

(Download requires the NBIA Data Retriever)

Clinical data (CSV)

Click the Versions tab for more info about data releases.

Please contact help@cancerimagingarchive.net  with any questions regarding usage.

Detailed Description

Image Statistics


Modalities

CT and X-Ray

Number of Patients

105

Number of Studies

256

Number of Series

461

Number of Images


Images Size (GB)

<< Add any additional information as needed below. Likely would be something from site. >>


Citations & Data Usage Policy

Users of this data must abide by the TCIA Data Usage Policy and the Creative Commons Attribution 3.0 Unported License under which it has been published. Attribution should include references to the following citations:

Data Citation

DOI goes here. Create using Datacite with information from Collection Approval form

Publication Citation

We ask on the proposal form if they have ONE traditional publication they'd like users to cite.

Acknowledgement

Only if they ask for special acknowledgments like funding sources, grant numbers, etc in their proposal.

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. DOI: 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.

Version X (Current): Updated yyyy/mm/dd

Data TypeDownload all or Query/Filter
Images (DICOM, xx.x GB)

(Requires NBIA Data Retriever.)

Clinical Data (CSV)

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