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Gaceta medica de Mexico · 2021

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

СтатьяНазвание и аннотация: Перевод пока не подготовлен
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Holguín-Andrade Karina I, Murrieta-Peralta Estefanía, Chischistz-Condey Ana P, Solís-Cano Dania G, Ríos-Muñoz Roberto, Calva-Arcos Mario, Murrieta-González Héctor

Аннотация

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).

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты