Diagnostic performance of the RSNA-proposed classification for COVID-19 pneumonia versus pre-pandemic controls

Detalhes bibliográficos
Autor(a) principal: Rocha,Cauã O.
Data de Publicação: 2022
Outros Autores: Prioste,Tássia A.D., Faccin,Carlo S., Folador,Luciano, Tonetto,Mateus S., Knijnik,Pedro G., Mainardi,Natalia B., Borges,Rogério B., Garcia,Tiago S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Infectious Diseases
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-86702022000100200
Resumo: Abstract Objective To evaluate the diagnostic accuracy of the Radiological Society of North America (RSNA) classification system for coronavirus disease 2019 (COVID-19) pneumonia compared to pre-pandemic chest computed tomography (CT) scan images to mitigate the risk of bias regarding the reference standard. Materials and methods This was a retrospective, cross-sectional, diagnostic test accuracy study. Chest CT scans, carried out from May 1 to June 30, 2020, and from May 1 to July 17, 2017, were consecutively selected for the COVID-19 (positive reverse transcription-polymerase chain reaction [RT-PCR] for severe acute respiratory syndrome coronavirus 2 result) and control (pre-pandemic) groups, respectively. Four expert thoracic radiologists blindly interpreted each CT scan image. Sensitivity and specificity were calculated. Results A total of 160 chest CT scan images were included: 79 in the COVID-19 group (56 [43.5–67] years old, 41 men) and 81 in the control group (62 [52–72] years old, 44 men). Typically, an estimated specificity of 98.5% (95% confidence interval [CI] 98.1%–98.4%) was obtained. For the indeterminate classification as a diagnostic threshold, an estimated sensitivity of 88.3% (95% CI 84.7%–91.7%) and a specificity of 79.0% (95% CI 74.5%–83.4%), with an area under the curve of 0.865 (95% CI 0.838–0.895), were obtained. Conclusion The RSNA classification system shows strong diagnostic accuracy for COVID-19 pneumonia, even against pre-pandemic controls. It can be an important aid in clinical decision-making, especially when a typical or indeterminate pattern is found, possibly advising retesting following an initial negative RT-PCR result and streamlining early management and isolation.
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spelling Diagnostic performance of the RSNA-proposed classification for COVID-19 pneumonia versus pre-pandemic controlsChest CTCOVID-19 pneumoniaRSNA classificationPre-pandemic controlsAbstract Objective To evaluate the diagnostic accuracy of the Radiological Society of North America (RSNA) classification system for coronavirus disease 2019 (COVID-19) pneumonia compared to pre-pandemic chest computed tomography (CT) scan images to mitigate the risk of bias regarding the reference standard. Materials and methods This was a retrospective, cross-sectional, diagnostic test accuracy study. Chest CT scans, carried out from May 1 to June 30, 2020, and from May 1 to July 17, 2017, were consecutively selected for the COVID-19 (positive reverse transcription-polymerase chain reaction [RT-PCR] for severe acute respiratory syndrome coronavirus 2 result) and control (pre-pandemic) groups, respectively. Four expert thoracic radiologists blindly interpreted each CT scan image. Sensitivity and specificity were calculated. Results A total of 160 chest CT scan images were included: 79 in the COVID-19 group (56 [43.5–67] years old, 41 men) and 81 in the control group (62 [52–72] years old, 44 men). Typically, an estimated specificity of 98.5% (95% confidence interval [CI] 98.1%–98.4%) was obtained. For the indeterminate classification as a diagnostic threshold, an estimated sensitivity of 88.3% (95% CI 84.7%–91.7%) and a specificity of 79.0% (95% CI 74.5%–83.4%), with an area under the curve of 0.865 (95% CI 0.838–0.895), were obtained. Conclusion The RSNA classification system shows strong diagnostic accuracy for COVID-19 pneumonia, even against pre-pandemic controls. It can be an important aid in clinical decision-making, especially when a typical or indeterminate pattern is found, possibly advising retesting following an initial negative RT-PCR result and streamlining early management and isolation.Brazilian Society of Infectious Diseases2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-86702022000100200Brazilian Journal of Infectious Diseases v.26 n.1 2022reponame:Brazilian Journal of Infectious Diseasesinstname:Brazilian Society of Infectious Diseases (BSID)instacron:BSID10.1016/j.bjid.2021.101665info:eu-repo/semantics/openAccessRocha,Cauã O.Prioste,Tássia A.D.Faccin,Carlo S.Folador,LucianoTonetto,Mateus S.Knijnik,Pedro G.Mainardi,Natalia B.Borges,Rogério B.Garcia,Tiago S.eng2022-03-28T00:00:00Zoai:scielo:S1413-86702022000100200Revistahttps://www.bjid.org.br/https://old.scielo.br/oai/scielo-oai.phpbjid@bjid.org.br||lgoldani@ufrgs.br1678-43911413-8670opendoar:2022-03-28T00:00Brazilian Journal of Infectious Diseases - Brazilian Society of Infectious Diseases (BSID)false
dc.title.none.fl_str_mv Diagnostic performance of the RSNA-proposed classification for COVID-19 pneumonia versus pre-pandemic controls
title Diagnostic performance of the RSNA-proposed classification for COVID-19 pneumonia versus pre-pandemic controls
spellingShingle Diagnostic performance of the RSNA-proposed classification for COVID-19 pneumonia versus pre-pandemic controls
Rocha,Cauã O.
Chest CT
COVID-19 pneumonia
RSNA classification
Pre-pandemic controls
title_short Diagnostic performance of the RSNA-proposed classification for COVID-19 pneumonia versus pre-pandemic controls
title_full Diagnostic performance of the RSNA-proposed classification for COVID-19 pneumonia versus pre-pandemic controls
title_fullStr Diagnostic performance of the RSNA-proposed classification for COVID-19 pneumonia versus pre-pandemic controls
title_full_unstemmed Diagnostic performance of the RSNA-proposed classification for COVID-19 pneumonia versus pre-pandemic controls
title_sort Diagnostic performance of the RSNA-proposed classification for COVID-19 pneumonia versus pre-pandemic controls
author Rocha,Cauã O.
author_facet Rocha,Cauã O.
Prioste,Tássia A.D.
Faccin,Carlo S.
Folador,Luciano
Tonetto,Mateus S.
Knijnik,Pedro G.
Mainardi,Natalia B.
Borges,Rogério B.
Garcia,Tiago S.
author_role author
author2 Prioste,Tássia A.D.
Faccin,Carlo S.
Folador,Luciano
Tonetto,Mateus S.
Knijnik,Pedro G.
Mainardi,Natalia B.
Borges,Rogério B.
Garcia,Tiago S.
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Rocha,Cauã O.
Prioste,Tássia A.D.
Faccin,Carlo S.
Folador,Luciano
Tonetto,Mateus S.
Knijnik,Pedro G.
Mainardi,Natalia B.
Borges,Rogério B.
Garcia,Tiago S.
dc.subject.por.fl_str_mv Chest CT
COVID-19 pneumonia
RSNA classification
Pre-pandemic controls
topic Chest CT
COVID-19 pneumonia
RSNA classification
Pre-pandemic controls
description Abstract Objective To evaluate the diagnostic accuracy of the Radiological Society of North America (RSNA) classification system for coronavirus disease 2019 (COVID-19) pneumonia compared to pre-pandemic chest computed tomography (CT) scan images to mitigate the risk of bias regarding the reference standard. Materials and methods This was a retrospective, cross-sectional, diagnostic test accuracy study. Chest CT scans, carried out from May 1 to June 30, 2020, and from May 1 to July 17, 2017, were consecutively selected for the COVID-19 (positive reverse transcription-polymerase chain reaction [RT-PCR] for severe acute respiratory syndrome coronavirus 2 result) and control (pre-pandemic) groups, respectively. Four expert thoracic radiologists blindly interpreted each CT scan image. Sensitivity and specificity were calculated. Results A total of 160 chest CT scan images were included: 79 in the COVID-19 group (56 [43.5–67] years old, 41 men) and 81 in the control group (62 [52–72] years old, 44 men). Typically, an estimated specificity of 98.5% (95% confidence interval [CI] 98.1%–98.4%) was obtained. For the indeterminate classification as a diagnostic threshold, an estimated sensitivity of 88.3% (95% CI 84.7%–91.7%) and a specificity of 79.0% (95% CI 74.5%–83.4%), with an area under the curve of 0.865 (95% CI 0.838–0.895), were obtained. Conclusion The RSNA classification system shows strong diagnostic accuracy for COVID-19 pneumonia, even against pre-pandemic controls. It can be an important aid in clinical decision-making, especially when a typical or indeterminate pattern is found, possibly advising retesting following an initial negative RT-PCR result and streamlining early management and isolation.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-86702022000100200
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-86702022000100200
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1016/j.bjid.2021.101665
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Brazilian Society of Infectious Diseases
publisher.none.fl_str_mv Brazilian Society of Infectious Diseases
dc.source.none.fl_str_mv Brazilian Journal of Infectious Diseases v.26 n.1 2022
reponame:Brazilian Journal of Infectious Diseases
instname:Brazilian Society of Infectious Diseases (BSID)
instacron:BSID
instname_str Brazilian Society of Infectious Diseases (BSID)
instacron_str BSID
institution BSID
reponame_str Brazilian Journal of Infectious Diseases
collection Brazilian Journal of Infectious Diseases
repository.name.fl_str_mv Brazilian Journal of Infectious Diseases - Brazilian Society of Infectious Diseases (BSID)
repository.mail.fl_str_mv bjid@bjid.org.br||lgoldani@ufrgs.br
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