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Validation of the British Society of Thoracic Imaging guidelines for COVID-19 chest radiograph reporting

AIM: To validate the British Society of Thoracic Imaging issued guidelines for the categorisation of chest radiographs for coronavirus disease 2019 (COVID-19) reporting regarding reproducibility amongst radiologists and diagnostic performance. MATERIALS AND METHODS: Chest radiographs from 50 patient...

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Detalles Bibliográficos
Autores principales: Hare, S.S., Tavare, A.N., Dattani, V., Musaddaq, B., Beal, I., Cleverley, J., Cash, C., Lemoniati, E., Barnett, J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier Ltd on behalf of The Royal College of Radiologists. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7298474/
https://www.ncbi.nlm.nih.gov/pubmed/32631626
http://dx.doi.org/10.1016/j.crad.2020.06.005
Descripción
Sumario:AIM: To validate the British Society of Thoracic Imaging issued guidelines for the categorisation of chest radiographs for coronavirus disease 2019 (COVID-19) reporting regarding reproducibility amongst radiologists and diagnostic performance. MATERIALS AND METHODS: Chest radiographs from 50 patients with COVID-19, and 50 control patients with symptoms consistent with COVID-19 from prior to the emergence of the novel coronavirus were assessed by seven consultant radiologists with regards to the British Society of Thoracic Imaging guidelines. RESULTS: The findings show excellent specificity (100%) and moderate sensitivity (44%) for guideline-defined Classic/Probable COVID-19, and substantial interobserver agreement (Fleiss' k=0.61). Fair agreement was observed for the “Indeterminate for COVID-19” (k=0.23), and “Non-COVID-19” (k=0.37) categories; furthermore, the sensitivity (0.26 and 0.14 respectively) and specificity (0.76, 0.80) of these categories for COVID-19 were not significantly different (McNemar's test p=0.18 and p=0.67). CONCLUSION: An amalgamation of the categories of “Indeterminate for COVID-19” and “Non-COVID-19” into a single “not classic of COVID-19” classification would improve interobserver agreement, encompass patients with a similar probability of COVID-19, and remove the possibility of labelling patients with COVID-19 as “Non-COVID-19”, which is the presenting radiographic appearance in a significant minority (14%) of patients.