ArticleClinics (Sao Paulo, Brazil)
Evaluation of the RSNA and CORADS classifications for COVID-19 on chest computed tomography in the Brazilian population.
Article in Clinics (Sao Paulo, Brazil). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- Agreement between emergency medicine residents and radiologists in RSNA-Based chest CT interpretation.Emergency radiology · 2026Article
- Article
- Inter-observer Variability in the Analysis of CO-RADS Classification for COVID-19 Patients.Tropical medicine and infectious disease · 2023Article
- Analysis of Leukocyte Subpopulations by Flow Cytometry during Hospitalization Depending on the Severity of COVID-19 Course.Biomedicines · 2023Article
- Diagnostic Efficacy of Chest Computed Tomography with a Dual-Reviewer Approach in Patients Diagnosed with Pneumonia Secondary to Severe Acute Respiratory Syndrome Coronavirus 2.Tomography (Ann Arbor, Mich.) · 2023Observational
- Diagnostic performance of standardized typical CT findings for COVID-19: a systematic review and meta-analysis.Insights into imaging · 2023Article
- [Risk factors at admission associated with intubation in patients with COVID-19].Revista medica del Instituto Mexicano del Seguro Social · 2023Observational
- Comparison of Initial CT Findings and CO-RADS Stage in COVID-19 Patients with PCR, Inflammation and Coagulation Parameters in Diagnostic and Prognostic Perspectives.Journal of the Belgian Society of Radiology · 2022Article
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11 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
objectiveTo 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.
methodsChest 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.
resultsA 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.
conclusionThe 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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