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Chest CT: A valuable tool in discrimination of covid-19 pneumonia, community acquired pneumonia and the other pathologies in slow epidemic phase

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11140%2F20%3A10421871" target="_blank" >RIV/00216208:11140/20:10421871 - isvavai.cz</a>

  • Alternative codes found

    RIV/00669806:_____/20:10421871

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=M8msEzF-c8" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=M8msEzF-c8</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Chest CT: A valuable tool in discrimination of covid-19 pneumonia, community acquired pneumonia and the other pathologies in slow epidemic phase

  • Original language description

    Aim: SARS-CoV-2 infection manifests like COVID-19 pneumonia, computed tomography (CT) has been reported as its valuable imaging. Frequent arguments against are discussed: the problem of the possible further spread of the infection to medical staff and/or other patients, and also insufficient SARS-CoV-2 detectability based solely on CT. The aim of the study was to examine the usefulness of CT for personalized, precision and predictive diagnostics of COVID-19-suspected. Method: Chest CT was performed due to suspected COVID-19 pneumonia in 310 patients during slow epidemic in Czech Republic, during March and April 2020. All patients underwent sampling for RT-PCR to confirm SARS-CoV-2 viral presence. When all RT-PCR tests had been completed and after one week of follow-up, the assessment of the sensitivity, specificity, positive and negative predictive value, and accuracy were calculated, a role of the discrimination using leukocytosis in suspected chest CT findings was evaluated respectively. One-weekfollow-up was performed to assess the readmission of the patient, and/or the COVID-19 transmission within patients or staff. Results: The overall sensitivity of 93.75%, specificity of 94.60%, positive predictive value of 66.67%, negative predictive value of 99.25%, and accuracy 94.52 were reached; adding leukocytosis in suspected cases, specificity of 99.64%, positive predictive value of 96.77%, negative predictive value of 99.28%, and accuracy 99.03% were improved respectively. Only one re-admission with COVID-19 in formerly CT-negative was recorded. There were no noted SARS-CoV-2 transmission neither patient-to-patient, nor patient-to-staff. Conclusion: The high negative predictive value of chest CT significantly contributed to the early identification of a large group patients with low risk for COVID-19, thus allowing them to be safely admitted outside the reserved COVID-19 units, the additional strength lies in the ability to identify an alternative non-COVID-19 diagnosis to explain the patients&apos; clinical symptoms. The CT based approach is enabling personalized, precise and predictive approach to COVID-19 pneumonia detection. (C) 2020, Galen s.r.o. All rights reserved.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    30224 - Radiology, nuclear medicine and medical imaging

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Česká radiologie

  • ISSN

    1210-7883

  • e-ISSN

  • Volume of the periodical

    74

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    9

  • Pages from-to

    171-179

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85097406413