Inter-observer variability with five computed tomography severity scales for COVID-19 pneumonia assessment.

Autor:	Holguín-Andrade KI; Department of Radiology and Molecular Imaging, Centro Médico ABC, Mexico City, Mexico., Murrieta-Peralta E; Department of Radiology and Molecular Imaging, Centro Médico ABC, Mexico City, Mexico., Chischistz-Condey AP; Department of Radiology and Molecular Imaging, Centro Médico ABC, Mexico City, Mexico., Solís-Cano DG; Department of Radiology and Molecular Imaging, Centro Médico ABC, Mexico City, Mexico., Ríos-Muñoz R; Department of Radiology and Molecular Imaging, Centro Médico ABC, Mexico City, Mexico., Calva-Arcos M; Department of Radiology and Molecular Imaging, Centro Médico ABC, Mexico City, Mexico., Murrieta-González H; Department of Radiology and Molecular Imaging, Centro Médico ABC, Mexico City, Mexico.
Jazyk:	angličtina
Zdroj:	Gaceta medica de Mexico [Gac Med Mex] 2021; Vol. 157 (4), pp. 391-396.
DOI:	10.24875/GMM.M21000580
Abstrakt:	Introduction: By the end 2019 there was an outbreak of pneumonia caused by a new coronavirus, a disease that was called coronavirus disease 2019 (COVID-19). Computed tomography (CT) has played an important role in the diagnosis of COVID-19 patients. Objective: To demonstrate inter-observer variability with five scales proposed for measuring the extent of COVID-19 pneumonia on tomography. Methods: Thirty five initial chest CT scans of patients who attended respiratory triage for suspected COVID-19 pneumonia were analyzed. Three radiologists classified the tomographic images according to the severity scales proposed by Yang (1), Yuan (2), Chun (3), Wang (4) and Instituto Nacional de Enfermedades Respiratorias-Chung-Pan (5). The percentage of agreement between the evaluators for each scale was calculated using the intra-class correlation index. Results: In most patients were five pulmonary lobes compromised (77.1% of the patients). Scales 1, 2, 4 and 5 showed an intra-class correlation > 0.91 (p < 0.0001), with agreement thus being almost perfect. Conclusions: Scale 4 (proposed by Wang) showed the best inter-observer agreement, with a coefficient of 0.964 (p = 0.001). (Copyright: © 2021 Permanyer.)
Databáze:	MEDLINE
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