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Chest radiograph classification and severity of suspected COVID-19 by different radiologist groups and attending clinicians: multi-reader, multi-case study

OBJECTIVES: To quantify reader agreement for the British Society of Thoracic Imaging (BSTI) diagnostic and severity classification for COVID-19 on chest radiographs (CXR), in particular agreement for an indeterminate CXR that could instigate CT imaging, from single and paired images. METHODS: Twenty...

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Autores principales: Nair, Arjun, Procter, Alexander, Halligan, Steve, Parry, Thomas, Ahmed, Asia, Duncan, Mark, Taylor, Magali, Chouhan, Manil, Gaunt, Trevor, Roberts, James, van Vucht, Niels, Campbell, Alan, Davis, Laura May, Jacob, Joseph, Hubbard, Rachel, Kumar, Shankar, Said, Ammaarah, Chan, Xinhui, Cutfield, Tim, Luintel, Akish, Marks, Michael, Stone, Neil, Mallet, Sue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592875/
https://www.ncbi.nlm.nih.gov/pubmed/36282308
http://dx.doi.org/10.1007/s00330-022-09172-w
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author Nair, Arjun
Procter, Alexander
Halligan, Steve
Parry, Thomas
Ahmed, Asia
Duncan, Mark
Taylor, Magali
Chouhan, Manil
Gaunt, Trevor
Roberts, James
van Vucht, Niels
Campbell, Alan
Davis, Laura May
Jacob, Joseph
Hubbard, Rachel
Kumar, Shankar
Said, Ammaarah
Chan, Xinhui
Cutfield, Tim
Luintel, Akish
Marks, Michael
Stone, Neil
Mallet, Sue
author_facet Nair, Arjun
Procter, Alexander
Halligan, Steve
Parry, Thomas
Ahmed, Asia
Duncan, Mark
Taylor, Magali
Chouhan, Manil
Gaunt, Trevor
Roberts, James
van Vucht, Niels
Campbell, Alan
Davis, Laura May
Jacob, Joseph
Hubbard, Rachel
Kumar, Shankar
Said, Ammaarah
Chan, Xinhui
Cutfield, Tim
Luintel, Akish
Marks, Michael
Stone, Neil
Mallet, Sue
author_sort Nair, Arjun
collection PubMed
description OBJECTIVES: To quantify reader agreement for the British Society of Thoracic Imaging (BSTI) diagnostic and severity classification for COVID-19 on chest radiographs (CXR), in particular agreement for an indeterminate CXR that could instigate CT imaging, from single and paired images. METHODS: Twenty readers (four groups of five individuals)—consultant chest (CCR), general consultant (GCR), and specialist registrar (RSR) radiologists, and infectious diseases clinicians (IDR)—assigned BSTI categories and severity in addition to modified Covid-Radiographic Assessment of Lung Edema Score (Covid-RALES), to 305 CXRs (129 paired; 2 time points) from 176 guideline-defined COVID-19 patients. Percentage agreement with a consensus of two chest radiologists was calculated for (1) categorisation to those needing CT (indeterminate) versus those that did not (classic/probable, non-COVID-19); (2) severity; and (3) severity change on paired CXRs using the two scoring systems. RESULTS: Agreement with consensus for the indeterminate category was low across all groups (28–37%). Agreement for other BSTI categories was highest for classic/probable for the other three reader groups (66–76%) compared to GCR (49%). Agreement for normal was similar across all radiologists (54–61%) but lower for IDR (31%). Agreement for a severe CXR was lower for GCR (65%), compared to the other three reader groups (84–95%). For all groups, agreement for changes across paired CXRs was modest. CONCLUSION: Agreement for the indeterminate BSTI COVID-19 CXR category is low, and generally moderate for the other BSTI categories and for severity change, suggesting that the test, rather than readers, is limited in utility for both deciding disposition and serial monitoring. KEY POINTS: • Across different reader groups, agreement for COVID-19 diagnostic categorisation on CXR varies widely. • Agreement varies to a degree that may render CXR alone ineffective for triage, especially for indeterminate cases. • Agreement for serial CXR change is moderate, limiting utility in guiding management. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00330-022-09172-w.
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spelling pubmed-95928752022-10-25 Chest radiograph classification and severity of suspected COVID-19 by different radiologist groups and attending clinicians: multi-reader, multi-case study Nair, Arjun Procter, Alexander Halligan, Steve Parry, Thomas Ahmed, Asia Duncan, Mark Taylor, Magali Chouhan, Manil Gaunt, Trevor Roberts, James van Vucht, Niels Campbell, Alan Davis, Laura May Jacob, Joseph Hubbard, Rachel Kumar, Shankar Said, Ammaarah Chan, Xinhui Cutfield, Tim Luintel, Akish Marks, Michael Stone, Neil Mallet, Sue Eur Radiol Chest OBJECTIVES: To quantify reader agreement for the British Society of Thoracic Imaging (BSTI) diagnostic and severity classification for COVID-19 on chest radiographs (CXR), in particular agreement for an indeterminate CXR that could instigate CT imaging, from single and paired images. METHODS: Twenty readers (four groups of five individuals)—consultant chest (CCR), general consultant (GCR), and specialist registrar (RSR) radiologists, and infectious diseases clinicians (IDR)—assigned BSTI categories and severity in addition to modified Covid-Radiographic Assessment of Lung Edema Score (Covid-RALES), to 305 CXRs (129 paired; 2 time points) from 176 guideline-defined COVID-19 patients. Percentage agreement with a consensus of two chest radiologists was calculated for (1) categorisation to those needing CT (indeterminate) versus those that did not (classic/probable, non-COVID-19); (2) severity; and (3) severity change on paired CXRs using the two scoring systems. RESULTS: Agreement with consensus for the indeterminate category was low across all groups (28–37%). Agreement for other BSTI categories was highest for classic/probable for the other three reader groups (66–76%) compared to GCR (49%). Agreement for normal was similar across all radiologists (54–61%) but lower for IDR (31%). Agreement for a severe CXR was lower for GCR (65%), compared to the other three reader groups (84–95%). For all groups, agreement for changes across paired CXRs was modest. CONCLUSION: Agreement for the indeterminate BSTI COVID-19 CXR category is low, and generally moderate for the other BSTI categories and for severity change, suggesting that the test, rather than readers, is limited in utility for both deciding disposition and serial monitoring. KEY POINTS: • Across different reader groups, agreement for COVID-19 diagnostic categorisation on CXR varies widely. • Agreement varies to a degree that may render CXR alone ineffective for triage, especially for indeterminate cases. • Agreement for serial CXR change is moderate, limiting utility in guiding management. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00330-022-09172-w. Springer Berlin Heidelberg 2022-10-25 2023 /pmc/articles/PMC9592875/ /pubmed/36282308 http://dx.doi.org/10.1007/s00330-022-09172-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Chest
Nair, Arjun
Procter, Alexander
Halligan, Steve
Parry, Thomas
Ahmed, Asia
Duncan, Mark
Taylor, Magali
Chouhan, Manil
Gaunt, Trevor
Roberts, James
van Vucht, Niels
Campbell, Alan
Davis, Laura May
Jacob, Joseph
Hubbard, Rachel
Kumar, Shankar
Said, Ammaarah
Chan, Xinhui
Cutfield, Tim
Luintel, Akish
Marks, Michael
Stone, Neil
Mallet, Sue
Chest radiograph classification and severity of suspected COVID-19 by different radiologist groups and attending clinicians: multi-reader, multi-case study
title Chest radiograph classification and severity of suspected COVID-19 by different radiologist groups and attending clinicians: multi-reader, multi-case study
title_full Chest radiograph classification and severity of suspected COVID-19 by different radiologist groups and attending clinicians: multi-reader, multi-case study
title_fullStr Chest radiograph classification and severity of suspected COVID-19 by different radiologist groups and attending clinicians: multi-reader, multi-case study
title_full_unstemmed Chest radiograph classification and severity of suspected COVID-19 by different radiologist groups and attending clinicians: multi-reader, multi-case study
title_short Chest radiograph classification and severity of suspected COVID-19 by different radiologist groups and attending clinicians: multi-reader, multi-case study
title_sort chest radiograph classification and severity of suspected covid-19 by different radiologist groups and attending clinicians: multi-reader, multi-case study
topic Chest
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592875/
https://www.ncbi.nlm.nih.gov/pubmed/36282308
http://dx.doi.org/10.1007/s00330-022-09172-w
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