Evaluation of the RSNA and CORADS classifications for COVID-19 on chest computed tomography in the Brazilian population
Autor(a) principal: | |
---|---|
Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Clinics |
Texto Completo: | https://www.revistas.usp.br/clinics/article/view/192324 |
Resumo: | OBJECTIVE: To determine the correlation between the two tomographic classifications for coronavirus disease (COVID-19), COVID-19 Reporting and Data System (CORADS) and Radiological Society of North America Expert Consensus Statement on Reporting Chest Computed Tomography (CT) Findings Related to COVID-19 (RSNA), in the Brazilian population and to assess the agreement between reviewers with different experience levels. METHODS: Chest CT images of patients with reverse transcriptase-polymerase chain reaction (RT-PCR)-positive COVID-19 were categorized according to the CORADS and RSNA classifications by radiologists with different levels of experience and who were initially unaware of the RT-PCR results. The inter- and intra-observer concordances for each of the classifications were calculated, as were the concordances between classifications. RESULTS: A total of 100 patients were included in this study. The RSNA classification showed an almost perfect inter-observer agreement between reviewers with similar experience levels, with a kappa coefficient of 0.892 (95% confidence interval [CI], 0.788–0.995). CORADS showed substantial agreement among reviewers with similar experience levels, with a kappa coefficient of 0.642 (95% CI, 0.491–0.793). There was inter-observer variation when comparing less experienced reviewers with more experienced reviewers, with the highest kappa coefficient of 0.396 (95% CI, 0.255–0.588). There was a significant correlation between both classifications, with a Kendall coefficient of 0.899 (po0.001) and substantial intra-observer agreement for both classifications. CONCLUSION: The RSNA and CORADS classifications showed excellent inter-observer agreement for reviewers with the same level of experience, although the agreement between less experience reviewers and the reviewer with the most experience was only reasonable. Combined analysis of both classifications with the first RT-PCR results did not reveal any false-negative results for detecting COVID-19 in patients. |
id |
USP-19_2cbf913ef3d88eb6216f3b1293c786db |
---|---|
oai_identifier_str |
oai:revistas.usp.br:article/192324 |
network_acronym_str |
USP-19 |
network_name_str |
Clinics |
repository_id_str |
|
spelling |
Evaluation of the RSNA and CORADS classifications for COVID-19 on chest computed tomography in the Brazilian populationCOVID-19ViralPneumoniaTomographyX-Ray ComputedPandemicsOBJECTIVE: To determine the correlation between the two tomographic classifications for coronavirus disease (COVID-19), COVID-19 Reporting and Data System (CORADS) and Radiological Society of North America Expert Consensus Statement on Reporting Chest Computed Tomography (CT) Findings Related to COVID-19 (RSNA), in the Brazilian population and to assess the agreement between reviewers with different experience levels. METHODS: Chest CT images of patients with reverse transcriptase-polymerase chain reaction (RT-PCR)-positive COVID-19 were categorized according to the CORADS and RSNA classifications by radiologists with different levels of experience and who were initially unaware of the RT-PCR results. The inter- and intra-observer concordances for each of the classifications were calculated, as were the concordances between classifications. RESULTS: A total of 100 patients were included in this study. The RSNA classification showed an almost perfect inter-observer agreement between reviewers with similar experience levels, with a kappa coefficient of 0.892 (95% confidence interval [CI], 0.788–0.995). CORADS showed substantial agreement among reviewers with similar experience levels, with a kappa coefficient of 0.642 (95% CI, 0.491–0.793). There was inter-observer variation when comparing less experienced reviewers with more experienced reviewers, with the highest kappa coefficient of 0.396 (95% CI, 0.255–0.588). There was a significant correlation between both classifications, with a Kendall coefficient of 0.899 (po0.001) and substantial intra-observer agreement for both classifications. CONCLUSION: The RSNA and CORADS classifications showed excellent inter-observer agreement for reviewers with the same level of experience, although the agreement between less experience reviewers and the reviewer with the most experience was only reasonable. Combined analysis of both classifications with the first RT-PCR results did not reveal any false-negative results for detecting COVID-19 in patients.Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo2021-11-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/clinics/article/view/19232410.6061/clinics/2021/e2476Clinics; Vol. 76 (2021); e2476Clinics; v. 76 (2021); e2476Clinics; Vol. 76 (2021); e24761980-53221807-5932reponame:Clinicsinstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/clinics/article/view/192324/177213Copyright (c) 2021 Clinicsinfo:eu-repo/semantics/openAccessFonseca, Eduardo Kaiser Ururahy Nunes Loureiro, Bruna Melo Coelho Strabelli, Daniel Giunchetti Farias, Lucas de Pádua Gomes de Garcia, José Vitor Rassi Gama, Victor Arcanjo Almeida Ferreira, Lorena Carneiro Chate, Rodrigo Caruso Assunção Júnior, Antonildes Nascimento Sawamura, Marcio Valente Yamada Nomura, Cesar Higa 2023-07-06T13:04:03Zoai:revistas.usp.br:article/192324Revistahttps://www.revistas.usp.br/clinicsPUBhttps://www.revistas.usp.br/clinics/oai||clinics@hc.fm.usp.br1980-53221807-5932opendoar:2023-07-06T13:04:03Clinics - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Evaluation of the RSNA and CORADS classifications for COVID-19 on chest computed tomography in the Brazilian population |
title |
Evaluation of the RSNA and CORADS classifications for COVID-19 on chest computed tomography in the Brazilian population |
spellingShingle |
Evaluation of the RSNA and CORADS classifications for COVID-19 on chest computed tomography in the Brazilian population Fonseca, Eduardo Kaiser Ururahy Nunes COVID-19 Viral Pneumonia Tomography X-Ray Computed Pandemics |
title_short |
Evaluation of the RSNA and CORADS classifications for COVID-19 on chest computed tomography in the Brazilian population |
title_full |
Evaluation of the RSNA and CORADS classifications for COVID-19 on chest computed tomography in the Brazilian population |
title_fullStr |
Evaluation of the RSNA and CORADS classifications for COVID-19 on chest computed tomography in the Brazilian population |
title_full_unstemmed |
Evaluation of the RSNA and CORADS classifications for COVID-19 on chest computed tomography in the Brazilian population |
title_sort |
Evaluation of the RSNA and CORADS classifications for COVID-19 on chest computed tomography in the Brazilian population |
author |
Fonseca, Eduardo Kaiser Ururahy Nunes |
author_facet |
Fonseca, Eduardo Kaiser Ururahy Nunes Loureiro, Bruna Melo Coelho Strabelli, Daniel Giunchetti Farias, Lucas de Pádua Gomes de Garcia, José Vitor Rassi Gama, Victor Arcanjo Almeida Ferreira, Lorena Carneiro Chate, Rodrigo Caruso Assunção Júnior, Antonildes Nascimento Sawamura, Marcio Valente Yamada Nomura, Cesar Higa |
author_role |
author |
author2 |
Loureiro, Bruna Melo Coelho Strabelli, Daniel Giunchetti Farias, Lucas de Pádua Gomes de Garcia, José Vitor Rassi Gama, Victor Arcanjo Almeida Ferreira, Lorena Carneiro Chate, Rodrigo Caruso Assunção Júnior, Antonildes Nascimento Sawamura, Marcio Valente Yamada Nomura, Cesar Higa |
author2_role |
author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Fonseca, Eduardo Kaiser Ururahy Nunes Loureiro, Bruna Melo Coelho Strabelli, Daniel Giunchetti Farias, Lucas de Pádua Gomes de Garcia, José Vitor Rassi Gama, Victor Arcanjo Almeida Ferreira, Lorena Carneiro Chate, Rodrigo Caruso Assunção Júnior, Antonildes Nascimento Sawamura, Marcio Valente Yamada Nomura, Cesar Higa |
dc.subject.por.fl_str_mv |
COVID-19 Viral Pneumonia Tomography X-Ray Computed Pandemics |
topic |
COVID-19 Viral Pneumonia Tomography X-Ray Computed Pandemics |
description |
OBJECTIVE: To determine the correlation between the two tomographic classifications for coronavirus disease (COVID-19), COVID-19 Reporting and Data System (CORADS) and Radiological Society of North America Expert Consensus Statement on Reporting Chest Computed Tomography (CT) Findings Related to COVID-19 (RSNA), in the Brazilian population and to assess the agreement between reviewers with different experience levels. METHODS: Chest CT images of patients with reverse transcriptase-polymerase chain reaction (RT-PCR)-positive COVID-19 were categorized according to the CORADS and RSNA classifications by radiologists with different levels of experience and who were initially unaware of the RT-PCR results. The inter- and intra-observer concordances for each of the classifications were calculated, as were the concordances between classifications. RESULTS: A total of 100 patients were included in this study. The RSNA classification showed an almost perfect inter-observer agreement between reviewers with similar experience levels, with a kappa coefficient of 0.892 (95% confidence interval [CI], 0.788–0.995). CORADS showed substantial agreement among reviewers with similar experience levels, with a kappa coefficient of 0.642 (95% CI, 0.491–0.793). There was inter-observer variation when comparing less experienced reviewers with more experienced reviewers, with the highest kappa coefficient of 0.396 (95% CI, 0.255–0.588). There was a significant correlation between both classifications, with a Kendall coefficient of 0.899 (po0.001) and substantial intra-observer agreement for both classifications. CONCLUSION: The RSNA and CORADS classifications showed excellent inter-observer agreement for reviewers with the same level of experience, although the agreement between less experience reviewers and the reviewer with the most experience was only reasonable. Combined analysis of both classifications with the first RT-PCR results did not reveal any false-negative results for detecting COVID-19 in patients. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-11-09 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistas.usp.br/clinics/article/view/192324 10.6061/clinics/2021/e2476 |
url |
https://www.revistas.usp.br/clinics/article/view/192324 |
identifier_str_mv |
10.6061/clinics/2021/e2476 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/clinics/article/view/192324/177213 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Clinics info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Clinics |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo |
publisher.none.fl_str_mv |
Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo |
dc.source.none.fl_str_mv |
Clinics; Vol. 76 (2021); e2476 Clinics; v. 76 (2021); e2476 Clinics; Vol. 76 (2021); e2476 1980-5322 1807-5932 reponame:Clinics instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Clinics |
collection |
Clinics |
repository.name.fl_str_mv |
Clinics - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
||clinics@hc.fm.usp.br |
_version_ |
1800222765739933696 |