Diagnostic performance of the RSNA-proposed classification for COVID-19 pneumonia versus pre-pandemic controls
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , |
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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Brazilian Journal of Infectious Diseases |
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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 |
format |
article |
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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1754209245397516288 |