Computed tomography surveillance helps tracking COVID-19 outbreak.
Jpn J Radiol
; 38(12): 1169-1176, 2020 Dec.
Article
em En
| MEDLINE
| ID: mdl-32766927
ABSTRACT
PURPOSE:
To reveal that a computed tomography surveillance program (CT-surveillance) could demonstrate the epidemiologic features of COVID-19 infection and simultaneously investigate the type and frequency of CT findings using clinical CT data. MATERIALS ANDMETHODS:
We targeted individuals with possible CT findings of viral pneumonia. Using an online questionnaire, we asked Japanese board-certified radiologists to register their patients' information including patient age and sex, the CT examination date, the results of PCR test for COVID-19 infection, CT findings, and the postal code of the medical institution that performed the CT. We compared the diurnal patient number and the cumulative regional distribution map of registrations in CT-surveillance to those of the PCR-positive patient surveillance (PCR-surveillance).RESULTS:
A total of 637 patients was registered from January 1 to April 17, 2020 for CT-surveillance. Their PCR test results were positive (n = 62.5-398%), negative (n = 8.9-57%), unknown (n = 26.2-167%), and other disease (n = 2.4-15%). An age peak at 60-69 years and male dominance were observed in CT-surveillance. The most common CT finding was bilaterally distributed ground-glass opacities. The diurnal number and the cumulative regional distribution map by CT-surveillance showed tendencies that were similar to those revealed by PCR-surveillance.CONCLUSION:
Using clinical CT data, CT-surveillance program delineated the epidemiologic features of COVID-19 infection.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Tomografia Computadorizada por Raios X
/
COVID-19
Tipo de estudo:
Screening_studies
Limite:
Adolescent
/
Adult
/
Aged
/
Aged80
/
Child
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Child, preschool
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Female
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Humans
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Infant
/
Male
País/Região como assunto:
Asia
Idioma:
En
Ano de publicação:
2020
Tipo de documento:
Article