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Chest CT abnormalities in COVID-19: a systematic review

journal contribution
posted on 2023-08-30, 17:51 authored by Ramy A. Ghayda, Keum Hwa Lee, Jae Seok Kim, Seul Lee, Sung Hwi Hong, Kyeong Seok Kim, Kyeong Eon Kim, Jinhyn Seok, Hajeong Kim, Jangsuk Seo, Seungmin Lee, Ai Koyanagi, Louis Jacob, Lee Smith, Han Li, Andreas Kronbichler, Jae Il Shin
Computed tomography (CT) of the chest is one of the main diagnositic tools for coronavirus disease 2019 (COVID-19) infection. To document the chest CT findings in patients with confirmed COVID-19 and their association with the clinical severity, we searched related literatures through PubMed, MEDLINE, Embase, Web of Science (inception to May 4, 2020) and reviewed reference lists of previous systematic reviews. A total of 31 case reports (3768 patients) on CT findings of COVID-19 were included. The most common comorbid conditions were hypertension (18.4%) and diabetes mellitus (8.3%). The most common symptom was fever (78.7%), followed by cough (60.2%). It took an average of 5.6 days from symptom onset to admission. The most common chest CT finding was vascular enlargement (84.8%), followed by ground-glass opacity (GGO) (60.1%), air-bronchogram (47.8%), and consolidation (41.4%). Most lung lesions were located in the lung periphery (72.2%) and involved bilateral lung (76%). Most patients showed normal range of laboratory findings such as white blood cell count (96.4%) and lymphocyte (87.2%). Compared to previous published meta-analyses, our study is the first to summarize the different radiologic characteristics of chest CT in a total of 3768 COVID-19 patients by compiling case series studies. A comprehensive diagnostic approach should be adopted for patients with known COVID-19, suspected cases, and for exposed individuals.

History

Refereed

  • Yes

Volume

18

Issue number

15

Page range

3395-3402

Publication title

International Journal of Medical Sciences

ISSN

1449-1907

Publisher

Ivyspring International Publisher

File version

  • Accepted version

Language

  • eng

Legacy posted date

2020-11-09

Legacy creation date

2020-11-09

Legacy Faculty/School/Department

COVID-19 Research Collection

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