Your browser doesn't support javascript.
Coronavirus Disease 2019 (COVID-19) CT Findings: A Systematic Review and Meta-analysis.
Bao, Cuiping; Liu, Xuehuan; Zhang, Han; Li, Yiming; Liu, Jun.
  • Bao C; Department of Radiology, Tianjin Union Medical Center, Tianjin, China.
  • Liu X; Department of Radiology, Tianjin Union Medical Center, Tianjin, China.
  • Zhang H; Department of Radiology, Tianjin Union Medical Center, Tianjin, China.
  • Li Y; Department of Radiology, Tianjin Union Medical Center, Tianjin, China. Electronic address: riminglee@126.com.
  • Liu J; Department of Radiology, Tianjin Union Medical Center, Tianjin, China. Electronic address: cjr.liujun@vip.163.com.
J Am Coll Radiol ; 17(6): 701-709, 2020 Jun.
Article in English | MEDLINE | ID: covidwho-56293
ABSTRACT

PURPOSE:

To date, considerable knowledge gaps remain regarding the chest CT imaging features of coronavirus disease 2019 (COVID-19). We performed a systematic review and meta-analysis of results from published studies to date to provide a summary of evidence on detection of COVID-19 by chest CT and the expected CT imaging manifestations.

METHODS:

Studies were identified by searching PubMed database for articles published between December 2019 and February 2020. Pooled CT positive rate of COVID-19 and pooled incidence of CT imaging findings were estimated using a random-effect model.

RESULTS:

A total of 13 studies met inclusion criteria. The pooled positive rate of the CT imaging was 89.76% and 90.35% when only including thin-section chest CT. Typical CT signs were ground glass opacities (83.31%), ground glass opacities with mixed consolidation (58.42%), adjacent pleura thickening (52.46%), interlobular septal thickening (48.46%), and air bronchograms (46.46%). Other CT signs included crazy paving pattern (14.81%), pleural effusion (5.88%), bronchiectasis (5.42%), pericardial effusion (4.55%), and lymphadenopathy (3.38%). The most anatomic distributions were bilateral lung infection (78.2%) and peripheral distribution (76.95%). The incidences were highest in the right lower lobe (87.21%), left lower lobe (81.41%), and bilateral lower lobes (65.22%). The right upper lobe (65.22%), right middle lobe (54.95%), and left upper lobe (69.43%) were also commonly involved. The incidence of bilateral upper lobes was 60.87%. A considerable proportion of patients had three or more lobes involved (70.81%).

CONCLUSIONS:

The detection of COVID-19 chest CT imaging is very high among symptomatic individuals at high risk, especially using thin-section chest CT. The most common CT features in patients affected by COVID-19 included ground glass opacities and consolidation involving the bilateral lungs in a peripheral distribution.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Tomography, X-Ray Computed / Coronavirus Infections / Pandemics / Betacoronavirus Type of study: Diagnostic study / Observational study / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Limits: Female / Humans / Male Language: English Journal: J Am Coll Radiol Journal subject: Radiology Year: 2020 Document Type: Article Affiliation country: J.jacr.2020.03.006

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Tomography, X-Ray Computed / Coronavirus Infections / Pandemics / Betacoronavirus Type of study: Diagnostic study / Observational study / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Limits: Female / Humans / Male Language: English Journal: J Am Coll Radiol Journal subject: Radiology Year: 2020 Document Type: Article Affiliation country: J.jacr.2020.03.006