Cargando…
Chest imaging representing a COVID-19 positive rural U.S. population
As the COVID-19 pandemic unfolds, radiology imaging is playing an increasingly vital role in determining therapeutic options, patient management, and research directions. Publicly available data are essential to drive new research into disease etiology, early detection, and response to therapy. In r...
Autores principales: | , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7686304/ https://www.ncbi.nlm.nih.gov/pubmed/33235265 http://dx.doi.org/10.1038/s41597-020-00741-6 |
_version_ | 1783613305263226880 |
---|---|
author | Desai, Shivang Baghal, Ahmad Wongsurawat, Thidathip Jenjaroenpun, Piroon Powell, Thomas Al-Shukri, Shaymaa Gates, Kim Farmer, Phillip Rutherford, Michael Blake, Geri Nolan, Tracy Sexton, Kevin Bennett, William Smith, Kirk Syed, Shorabuddin Prior, Fred |
author_facet | Desai, Shivang Baghal, Ahmad Wongsurawat, Thidathip Jenjaroenpun, Piroon Powell, Thomas Al-Shukri, Shaymaa Gates, Kim Farmer, Phillip Rutherford, Michael Blake, Geri Nolan, Tracy Sexton, Kevin Bennett, William Smith, Kirk Syed, Shorabuddin Prior, Fred |
author_sort | Desai, Shivang |
collection | PubMed |
description | As the COVID-19 pandemic unfolds, radiology imaging is playing an increasingly vital role in determining therapeutic options, patient management, and research directions. Publicly available data are essential to drive new research into disease etiology, early detection, and response to therapy. In response to the COVID-19 crisis, the National Cancer Institute (NCI) has extended the Cancer Imaging Archive (TCIA) to include COVID-19 related images. Rural populations are one population at risk for underrepresentation in such public repositories. We have published in TCIA a collection of radiographic and CT imaging studies for patients who tested positive for COVID-19 in the state of Arkansas. A set of clinical data describes each patient including 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 address population imbalance in COVID-19 data by providing samples from this normally underrepresented population. |
format | Online Article Text |
id | pubmed-7686304 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-76863042020-12-03 Chest imaging representing a COVID-19 positive rural U.S. population Desai, Shivang Baghal, Ahmad Wongsurawat, Thidathip Jenjaroenpun, Piroon Powell, Thomas Al-Shukri, Shaymaa Gates, Kim Farmer, Phillip Rutherford, Michael Blake, Geri Nolan, Tracy Sexton, Kevin Bennett, William Smith, Kirk Syed, Shorabuddin Prior, Fred Sci Data Data Descriptor As the COVID-19 pandemic unfolds, radiology imaging is playing an increasingly vital role in determining therapeutic options, patient management, and research directions. Publicly available data are essential to drive new research into disease etiology, early detection, and response to therapy. In response to the COVID-19 crisis, the National Cancer Institute (NCI) has extended the Cancer Imaging Archive (TCIA) to include COVID-19 related images. Rural populations are one population at risk for underrepresentation in such public repositories. We have published in TCIA a collection of radiographic and CT imaging studies for patients who tested positive for COVID-19 in the state of Arkansas. A set of clinical data describes each patient including 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 address population imbalance in COVID-19 data by providing samples from this normally underrepresented population. Nature Publishing Group UK 2020-11-24 /pmc/articles/PMC7686304/ /pubmed/33235265 http://dx.doi.org/10.1038/s41597-020-00741-6 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Desai, Shivang Baghal, Ahmad Wongsurawat, Thidathip Jenjaroenpun, Piroon Powell, Thomas Al-Shukri, Shaymaa Gates, Kim Farmer, Phillip Rutherford, Michael Blake, Geri Nolan, Tracy Sexton, Kevin Bennett, William Smith, Kirk Syed, Shorabuddin Prior, Fred Chest imaging representing a COVID-19 positive rural U.S. population |
title | Chest imaging representing a COVID-19 positive rural U.S. population |
title_full | Chest imaging representing a COVID-19 positive rural U.S. population |
title_fullStr | Chest imaging representing a COVID-19 positive rural U.S. population |
title_full_unstemmed | Chest imaging representing a COVID-19 positive rural U.S. population |
title_short | Chest imaging representing a COVID-19 positive rural U.S. population |
title_sort | chest imaging representing a covid-19 positive rural u.s. population |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7686304/ https://www.ncbi.nlm.nih.gov/pubmed/33235265 http://dx.doi.org/10.1038/s41597-020-00741-6 |
work_keys_str_mv | AT desaishivang chestimagingrepresentingacovid19positiveruraluspopulation AT baghalahmad chestimagingrepresentingacovid19positiveruraluspopulation AT wongsurawatthidathip chestimagingrepresentingacovid19positiveruraluspopulation AT jenjaroenpunpiroon chestimagingrepresentingacovid19positiveruraluspopulation AT powellthomas chestimagingrepresentingacovid19positiveruraluspopulation AT alshukrishaymaa chestimagingrepresentingacovid19positiveruraluspopulation AT gateskim chestimagingrepresentingacovid19positiveruraluspopulation AT farmerphillip chestimagingrepresentingacovid19positiveruraluspopulation AT rutherfordmichael chestimagingrepresentingacovid19positiveruraluspopulation AT blakegeri chestimagingrepresentingacovid19positiveruraluspopulation AT nolantracy chestimagingrepresentingacovid19positiveruraluspopulation AT sextonkevin chestimagingrepresentingacovid19positiveruraluspopulation AT bennettwilliam chestimagingrepresentingacovid19positiveruraluspopulation AT smithkirk chestimagingrepresentingacovid19positiveruraluspopulation AT syedshorabuddin chestimagingrepresentingacovid19positiveruraluspopulation AT priorfred chestimagingrepresentingacovid19positiveruraluspopulation |