Chest radiograph classification and severity of suspected COVID-19 by different radiologist groups and attending clinicians: multi-reader, multi-case study

OBJECTIVES: To quantify reader agreement for the British Society of Thoracic Imaging (BSTI) diagnostic and severity classification for COVID-19 on chest radiographs (CXR), in particular agreement for an indeterminate CXR that could instigate CT imaging, from single and paired images. METHODS: Twenty...

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Detalles Bibliográficos
Autores principales: Nair, Arjun, Procter, Alexander, Halligan, Steve, Parry, Thomas, Ahmed, Asia, Duncan, Mark, Taylor, Magali, Chouhan, Manil, Gaunt, Trevor, Roberts, James, van Vucht, Niels, Campbell, Alan, Davis, Laura May, Jacob, Joseph, Hubbard, Rachel, Kumar, Shankar, Said, Ammaarah, Chan, Xinhui, Cutfield, Tim, Luintel, Akish, Marks, Michael, Stone, Neil, Mallet, Sue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Chest
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592875/
https://www.ncbi.nlm.nih.gov/pubmed/36282308
http://dx.doi.org/10.1007/s00330-022-09172-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592875/
https://www.ncbi.nlm.nih.gov/pubmed/36282308
http://dx.doi.org/10.1007/s00330-022-09172-w

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