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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...

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Autores principales: 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
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
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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.
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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
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