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Evaluation of the RSNA and CORADS classifications for COVID-19 on chest computed tomography in the Brazilian population

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 COV...

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Autores principales: Fonseca, Eduardo Kaiser Ururahy Nunes, Loureiro, Bruna Melo Coelho, Strabelli, Daniel Giunchetti, de Farias, Lucas de Pádua Gomes, Garcia, José Vitor Rassi, Gama, Victor Arcanjo Almeida, Ferreira, Lorena Carneiro, Chate, Rodrigo Caruso, Assunção, Antonildes Nascimento, Sawamura, Marcio Valente Yamada, Nomura, Cesar Higa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Faculdade de Medicina / USP 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979034/
https://www.ncbi.nlm.nih.gov/pubmed/33787655
http://dx.doi.org/10.6061/clinics/2021/e2476
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author Fonseca, Eduardo Kaiser Ururahy Nunes
Loureiro, Bruna Melo Coelho
Strabelli, Daniel Giunchetti
de Farias, Lucas de Pádua Gomes
Garcia, José Vitor Rassi
Gama, Victor Arcanjo Almeida
Ferreira, Lorena Carneiro
Chate, Rodrigo Caruso
Assunção, Antonildes Nascimento
Sawamura, Marcio Valente Yamada
Nomura, Cesar Higa
author_facet Fonseca, Eduardo Kaiser Ururahy Nunes
Loureiro, Bruna Melo Coelho
Strabelli, Daniel Giunchetti
de Farias, Lucas de Pádua Gomes
Garcia, José Vitor Rassi
Gama, Victor Arcanjo Almeida
Ferreira, Lorena Carneiro
Chate, Rodrigo Caruso
Assunção, Antonildes Nascimento
Sawamura, Marcio Valente Yamada
Nomura, Cesar Higa
author_sort Fonseca, Eduardo Kaiser Ururahy Nunes
collection PubMed
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 (p<0.001) 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.
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spelling pubmed-79790342021-03-21 Evaluation of the RSNA and CORADS classifications for COVID-19 on chest computed tomography in the Brazilian population Fonseca, Eduardo Kaiser Ururahy Nunes Loureiro, Bruna Melo Coelho Strabelli, Daniel Giunchetti de Farias, Lucas de Pádua Gomes Garcia, José Vitor Rassi Gama, Victor Arcanjo Almeida Ferreira, Lorena Carneiro Chate, Rodrigo Caruso Assunção, Antonildes Nascimento Sawamura, Marcio Valente Yamada Nomura, Cesar Higa Clinics (Sao Paulo) Original Article 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 (p<0.001) 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. Faculdade de Medicina / USP 2021-03-19 2021 /pmc/articles/PMC7979034/ /pubmed/33787655 http://dx.doi.org/10.6061/clinics/2021/e2476 Text en Copyright © 2021 CLINICS http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium or format, provided the original work is properly cited.
spellingShingle Original Article
Fonseca, Eduardo Kaiser Ururahy Nunes
Loureiro, Bruna Melo Coelho
Strabelli, Daniel Giunchetti
de Farias, Lucas de Pádua Gomes
Garcia, José Vitor Rassi
Gama, Victor Arcanjo Almeida
Ferreira, Lorena Carneiro
Chate, Rodrigo Caruso
Assunção, Antonildes Nascimento
Sawamura, Marcio Valente Yamada
Nomura, Cesar Higa
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
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_short 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
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979034/
https://www.ncbi.nlm.nih.gov/pubmed/33787655
http://dx.doi.org/10.6061/clinics/2021/e2476
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