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...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier España
2021-03-01
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| Series: | Clinics |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1807-59322021000100244&tlng=en |
| _version_ | 1818530952876392448 |
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| author | Eduardo Kaiser Ururahy Nunes Fonseca Bruna Melo Coelho Loureiro Daniel Giunchetti Strabelli Lucas de Pádua Gomes de Farias José Vitor Rassi Garcia Victor Arcanjo Almeida Gama Lorena Carneiro Ferreira Rodrigo Caruso Chate Antonildes Nascimento Assunção Júnior Marcio Valente Yamada Sawamura Cesar Higa Nomura |
| author_facet | Eduardo Kaiser Ururahy Nunes Fonseca Bruna Melo Coelho Loureiro Daniel Giunchetti Strabelli Lucas de Pádua Gomes de Farias José Vitor Rassi Garcia Victor Arcanjo Almeida Gama Lorena Carneiro Ferreira Rodrigo Caruso Chate Antonildes Nascimento Assunção Júnior Marcio Valente Yamada Sawamura Cesar Higa Nomura |
| author_sort | Eduardo Kaiser Ururahy Nunes Fonseca |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-11T17:26:12Z |
| format | Article |
| id | doaj.art-51c8bedc1b394e1ca28be1e818076f4b |
| institution | Directory Open Access Journal |
| issn | 1980-5322 |
| language | English |
| last_indexed | 2024-12-11T17:26:12Z |
| publishDate | 2021-03-01 |
| publisher | Elsevier España |
| record_format | Article |
| series | Clinics |
| spelling | doaj.art-51c8bedc1b394e1ca28be1e818076f4b2022-12-22T00:56:58ZengElsevier EspañaClinics1980-53222021-03-017610.6061/clinics/2021/e2476Evaluation of the RSNA and CORADS classifications for COVID-19 on chest computed tomography in the Brazilian populationEduardo Kaiser Ururahy Nunes Fonsecahttps://orcid.org/0000-0002-0233-0041Bruna Melo Coelho Loureirohttps://orcid.org/0000-0002-7270-2664Daniel Giunchetti Strabellihttps://orcid.org/0000-0002-0526-5775Lucas de Pádua Gomes de Fariashttps://orcid.org/0000-0001-5195-9818José Vitor Rassi Garciahttps://orcid.org/0000-0001-5241-1651Victor Arcanjo Almeida Gamahttps://orcid.org/0000-0002-6666-2723Lorena Carneiro Ferreirahttps://orcid.org/0000-0003-3960-1375Rodrigo Caruso Chatehttps://orcid.org/0000-0002-4193-7647Antonildes Nascimento Assunção Júniorhttps://orcid.org/0000-0002-3211-9650Marcio Valente Yamada Sawamurahttps://orcid.org/0000-0002-9424-9776Cesar Higa Nomurahttps://orcid.org/0000-0002-7131-6614OBJECTIVE: 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1807-59322021000100244&tlng=enCOVID-19ViralPneumoniaTomography, X-Ray ComputedPandemics |
| spellingShingle | Eduardo Kaiser Ururahy Nunes Fonseca Bruna Melo Coelho Loureiro Daniel Giunchetti Strabelli Lucas de Pádua Gomes de Farias José Vitor Rassi Garcia Victor Arcanjo Almeida Gama Lorena Carneiro Ferreira Rodrigo Caruso Chate Antonildes Nascimento Assunção Júnior Marcio Valente Yamada Sawamura Cesar Higa Nomura Evaluation of the RSNA and CORADS classifications for COVID-19 on chest computed tomography in the Brazilian population Clinics COVID-19 Viral Pneumonia Tomography, X-Ray Computed Pandemics |
| 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 | COVID-19 Viral Pneumonia Tomography, X-Ray Computed Pandemics |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1807-59322021000100244&tlng=en |
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