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

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1
Tipo de produção
article
Data de publicação
2021
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HOSPITAL CLINICAS, UNIV SAO PAULO
Citação
CLINICS, v.76, article ID e2476, 5p, 2021
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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 (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.
Palavras-chave
COVID-19, Viral, Pneumonia, Tomography, X-Ray Computed, Pandemics
Referências
  1. Barbosa Paula Nicole Vieira Pinto, 2020, Radiol Bras, V53, P211, DOI 10.1590/0100-3984.2020.0040
  2. Byrne D, 2021, CAN ASSOC RADIOL J, V72, P159, DOI 10.1177/0846537120938328
  3. Ciccarese Federica, 2020, Radiol Cardiothorac Imaging, V2, pe200312, DOI 10.1148/ryct.2020200312
  4. Colombi D, 2020, RADIOLOGY, V296, pE86, DOI 10.1148/radiol.2020201433
  5. Farias Lucas de Pádua Gomes de, 2020, Radiol Bras, V53, P255, DOI 10.1590/0100-3984.2020.0030
  6. de Jaegere TMH., 2020, RADIOL CARDIOTHORAC, V2, P200213, DOI 10.1148/ryct.2020200213
  7. De Smet K, 2021, RADIOLOGY, V298, pE30, DOI 10.1148/radiol.2020202708
  8. Francone M, 2020, EUR RADIOL, V30, P6808, DOI 10.1007/s00330-020-07033-y
  9. de Farias LDG, 2020, CLINICS, V75, DOI 10.6061/clinics/2020/e2027
  10. Kim H, 2020, RADIOLOGY, V296, pE145, DOI 10.1148/radiol.2020201343
  11. Santos JMMM, 2020, J COMPUT ASSIST TOMO, V44, P647, DOI 10.1097/RCT.0000000000001054
  12. Prokop M, 2020, RADIOLOGY, V296, pE97, DOI 10.1148/radiol.2020201473
  13. Shoji H, 2020, EINSTEIN-SAO PAULO, V18, DOI [10.31744/einstein_journal/2020ED5720, 10.31744/einstein_journal/2020ed5720]
  14. Simpson Scott, 2020, Radiol Cardiothorac Imaging, V2, pe200152, DOI 10.1148/ryct.2020200152
  15. Som Avik, 2020, Radiol Cardiothorac Imaging, V2, pe200276, DOI 10.1148/ryct.2020200276