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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; 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.
  • Fonseca EKUN; Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, BR.
  • Loureiro BMC; Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, BR.
  • Strabelli DG; Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, BR.
  • Farias LPG; Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, BR.
  • Garcia JVR; Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, BR.
  • Gama VAA; Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, BR.
  • Ferreira LC; Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, BR.
  • Chate RC; Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, BR.
  • Assunção Júnior AN; Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, BR.
  • Sawamura MVY; Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, BR.
  • Nomura CH; Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, BR.
Clinics (Sao Paulo) ; 76: e2476, 2021.
Article in English | MEDLINE | ID: covidwho-1159502
ABSTRACT

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.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Coronavirus / COVID-19 Type of study: Experimental Studies / Prognostic study Limits: Humans Country/Region as subject: South America / Brazil Language: English Journal: Clinics (Sao Paulo) Journal subject: Medicine Year: 2021 Document Type: Article Affiliation country: Clinics

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Coronavirus / COVID-19 Type of study: Experimental Studies / Prognostic study Limits: Humans Country/Region as subject: South America / Brazil Language: English Journal: Clinics (Sao Paulo) Journal subject: Medicine Year: 2021 Document Type: Article Affiliation country: Clinics