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Gaceta médica de México
versión On-line ISSN 2696-1288versión impresa ISSN 0016-3813
Resumen
HOLGUIN-ANDRADE, Karina I. et al. Inter-observer variability with five computed tomography severity scales for COVID-19 pneumonia assessment. Gac. Méd. Méx [online]. 2021, vol.157, n.4, pp.405-410. Epub 13-Dic-2021. ISSN 2696-1288. https://doi.org/10.24875/gmm.20000826.
Introduction:
By the end 2019 there was an outbreak of pneumonia caused by a new coronavirus, a disease that was called COVID-19. Computed tomography 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:
35 initial chest computed tomography 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 INER-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).
Palabras llave : COVID-19 pneumonia; Inter-observer variability; Tomography severity scale.