Cited 8 times in
Chest CT abnormalities in COVID-19: a systematic review
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 신재일 | - |
dc.contributor.author | 이금화 | - |
dc.date.accessioned | 2021-09-29T02:14:26Z | - |
dc.date.available | 2021-09-29T02:14:26Z | - |
dc.date.issued | 2021-08 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/184786 | - |
dc.description.abstract | 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. | - |
dc.description.statementOfResponsibility | open | - |
dc.language | English | - |
dc.publisher | Ivyspring International Publisher | - |
dc.relation.isPartOf | INTERNATIONAL JOURNAL OF MEDICAL SCIENCES | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.title | Chest CT abnormalities in COVID-19: a systematic review | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Pediatrics (소아과학교실) | - |
dc.contributor.googleauthor | Ramy Abou Ghayda | - |
dc.contributor.googleauthor | Keum Hwa Lee | - |
dc.contributor.googleauthor | Jae Seok Kim | - |
dc.contributor.googleauthor | Seul Lee | - |
dc.contributor.googleauthor | Sung Hwi Hong | - |
dc.contributor.googleauthor | Kyeong Seok Kim | - |
dc.contributor.googleauthor | Kyeong Eon Kim | - |
dc.contributor.googleauthor | Jinhyn Seok | - |
dc.contributor.googleauthor | Hajeong Kim | - |
dc.contributor.googleauthor | Jangsuk Seo | - |
dc.contributor.googleauthor | Seungmin Lee | - |
dc.contributor.googleauthor | Ai Koyanagi | - |
dc.contributor.googleauthor | Louis Jacob | - |
dc.contributor.googleauthor | Lee Smith | - |
dc.contributor.googleauthor | Han Li | - |
dc.contributor.googleauthor | Andreas Kronbichler | - |
dc.contributor.googleauthor | Jae Il Shin | - |
dc.identifier.doi | 10.7150/ijms.50568 | - |
dc.contributor.localId | A02142 | - |
dc.contributor.localId | A04622 | - |
dc.relation.journalcode | J02917 | - |
dc.identifier.eissn | 1449-1907 | - |
dc.contributor.alternativeName | Shin, Jae Il | - |
dc.contributor.affiliatedAuthor | 신재일 | - |
dc.contributor.affiliatedAuthor | 이금화 | - |
dc.citation.volume | 18 | - |
dc.citation.number | 15 | - |
dc.citation.startPage | 3395 | - |
dc.citation.endPage | 3402 | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF MEDICAL SCIENCES, Vol.18(15) : 3395-3402, 2021-08 | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.