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.

Summary

Excerpt

As the COVID-19 pandemic unfolds, radiology imaging is playing an increasingly vital role in 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 are 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. This data is cross-linked to SARS-COV-2 cDNA sequence data extracted from clinical isolates from the same population, published in GISAID. 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:

...

Localtab Group


Localtab
activetrue
titleData Access

Data Access

Data TypeDownload all or Query/Filter

Images, Segmentations, and Radiation Therapy Structures/Doses/Plans (DICOM, XX.X GB)

<< latter two items only if DICOM SEG/RTSTRUCT/RTDOSE/PLAN exist >>

(Download requires the NBIA Data Retriever)

Tissue Slide Images (SVS, XX.X GB)

Clinical data (CSV)

Genomics (web)

Click the Versions tab for more info about data releases.

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


Localtab
titleDetailed Description

Detailed Description

Image Statistics


Modalities

CT and X-Ray

Number of Patients

88

Number of Studies

197

Number of Series


Number of Images


Images Size (GB)

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



Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy

Public collection license

Info
titleData Citation

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


Info
titlePublication Citation

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


Info
titleAcknowledgement

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


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. 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.


Localtab
titleVersions

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)Link
Other (format)

<< One or two sentences about what you changed since last version.  No note required for version 1. >> 


...