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Chest CT abnormalities in COVID-19: a systematic review.
Ghayda, Ramy Abou; Lee, Keum Hwa; Kim, Jae Seok; Lee, Seul; Hong, Sung Hwi; Kim, Kyeong Seok; Kim, Kyeong Eon; Seok, Jinhyn; Kim, Hajeong; Seo, Jangsuk; Lee, Seungmin; Koyanagi, Ai; Jacob, Louis; Smith, Lee; Li, Han; Kronbichler, Andreas; Shin, Jae Il.
  • Ghayda RA; Division of Urology, Brigham and Women's Hospital and Harvard Medical School Boston, MA 02115, USA.
  • Lee KH; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
  • Kim JS; Department of Pediatrics, Yonsei University College of Medicine, Yonsei-ro 50, Seodaemun-gu, C.P.O Box 8044, Seoul 03722, Republic of Korea.
  • Lee S; Department of Nephrology, Yonsei University Wonju College of Medicine, Ilsan-ro 20, Wonju 26426, Republic of Korea.
  • Hong SH; Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Kim KS; Division of Urology, Brigham and Women's Hospital and Harvard Medical School Boston, MA 02115, USA.
  • Kim KE; Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Seok J; Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Kim H; Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Seo J; Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Lee S; Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Koyanagi A; Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Jacob L; Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Smith L; Research and Development Unit, Parc Sanitari Sant Joan de Déu, CIBERSAM, Dr. Antoni Pujadas, 42, Sant Boi de Llobregat, 08830, Barcelona, Spain.
  • Li H; ICREA, Pg, Lluis Companys 23, Barcelona, Spain.
  • Kronbichler A; Research and Development Unit, Parc Sanitari Sant Joan de Déu, CIBERSAM, Dr. Antoni Pujadas, 42, Sant Boi de Llobregat, 08830, Barcelona, Spain.
  • Shin JI; Faculty of Medicine, University of Versailles Saint-Quentin-en-Yvelines, Montigny-le-Bretonneux, 78180, Versailles, France.
Int J Med Sci ; 18(15): 3395-3402, 2021.
Article in English | MEDLINE | ID: covidwho-1409696
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Radiography, Thoracic / Tomography, X-Ray Computed / COVID-19 Type of study: Prognostic study / Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: Int J Med Sci Journal subject: Medicine Year: 2021 Document Type: Article Affiliation country: Ijms.50568

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Radiography, Thoracic / Tomography, X-Ray Computed / COVID-19 Type of study: Prognostic study / Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: Int J Med Sci Journal subject: Medicine Year: 2021 Document Type: Article Affiliation country: Ijms.50568