20 Oct, 2020
Diagnostic Accuracy of Chest Computed Tomography Scans for Suspected Patients with COVID-19: Receiver Operating Characteristic Curve Analysis
JMIR Publications
Wu, Lianpin; Jin, Qike; Chen, Jie; He, Jiawei; Brett-Major, David M.; Dong, Jianghu (James)
From the Abstract: "Computed tomography (CT) scans are increasingly available in clinical care globally. They enable a rapid and detailed assessment of tissue and organ involvement in disease processes that are relevant to diagnosis and management, particularly in the context of the COVID-19 [coronavirus disease 2019] pandemic. [...] The aim of this paper is to identify differences in the CT scan findings of patients who were COVID-19 positive (confirmed via nucleic acid testing) to patients who were confirmed COVID-19 negative. [...] A retrospective cohort study was proposed to compare patient clinical characteristics and CT scan findings in suspected COVID-19 cases. [...] A total of 94 (56%) patients were confirmed positive for COVID-19 from the suspected 167 patients. We found that elderly people were more likely to be infected with COVID-19. Among the 94 confirmed positive patients, 2 (2%) patients were admitted to an intensive care unit. No patients died during the study period. We found that the presence, distribution, and location of CT lesions were associated with the presence of COVID-19. White blood cell count, cough, and a travel history to Wuhan were also the top predictors for COVID-19. [...] Taken together with nucleic acid testing, we found that CT scans can allow for the rapid diagnosis of COVID-19. This study suggests that chest CT scans should be more broadly adopted along with nucleic acid testing in the initial assessment of suspected COVID-19 cases, especially for patients with nonspecific symptoms." The original publication of this article can be found here: [publichealth.jmir.org/2020/4/e19424/].
  • URL
  • Authors
    Wu, Lianpin
    Jin, Qike
    Chen, Jie
    He, Jiawei
    Brett-Major, David M.
    Dong, Jianghu (James)
  • Publisher
    JMIR Publications
  • Date
    20 Oct, 2020
  • Copyright
    Lianpin Wu, Qike Jin, Jie Chen, Jiawei He, David M Brett-Major, Jianghu James Dong. Posted here with permission. Document is under a Creative Commons license and requires proper attribution and noncommercial use to be shared: [creativecommons.org/licenses/by/4.0/].
  • Retrieved From
    JMIR Publications: publichealth.jmir.org/
  • Format
  • Media Type
  • Source
    JMIR Public Health and Surveillance (2020), v.6 issue 4
  • Subjects
    COVID-19 (Disease)
    Diagnostic imaging
  • Resource Groups
    Coronavirus Disease (COVID-19)
    Journals and articles
  • Series
    JMIR Public Health and Surveillance
    COVID 19 Resources

Citing HSDL Resources

Documents from the HSDL collection cannot automatically be added to citation managers (e.g. Refworks, Endnotes, etc). This HSDL abstract page contains some of the pieces you may need when citing a resource, such as the author, publisher and date information. We highly recommend you always refer to the resource itself as the most accurate source of information when citing. Here are some sources that can help with formatting citations (particularly for government documents).

Worldcat: http://www.worldcat.org/

Indiana University Guide: Citing U.S. Government Publications: http://libraries.iub.edu/guide-citing-us-government-publications
Clear examples for citing specific types of government publications in a variety of formats. It does not address citing according to specific style guides.

Naval Postgraduate School: Dudley Knox Library. Citing Styles: http://libguides.nps.edu/citation
Specific examples for citing government publications according to APA and Chicago style guides. Click on the link for your preferred style then navigate to the specific type of government publication.

Scroll to Top