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Chest computed tomography for the diagnosis of patients with coronavirus disease 2019 (COVID-19): a rapid review and meta-analysis.
Lv, Meng; Wang, Mengshu; Yang, Nan; Luo, Xufei; Li, Wei; Chen, Xin; Liu, Yunlan; Ren, Mengjuan; Zhang, Xianzhuo; Wang, Ling; Ma, Yanfang; Lei, Junqiang; Fukuoka, Toshio; Ahn, Hyeong Sik; Lee, Myeong Soo; Luo, Zhengxiu; Chen, Yaolong; Liu, Enmei; Tian, Jinhui; Wang, Xiaohui.
  • Lv M; School of Public Health, Lanzhou University, Lanzhou 730000, China.
  • Wang M; Evidence-based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China.
  • Yang N; Department of Radiology, The First Affiliated Hospital, Lanzhou University, Lanzhou 730000, China.
  • Luo X; Department of Respiratory Medicine, Children's Hospital of Chongqing Medical University, Chongqing 400014, China.
  • Li W; National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Cho
  • Chen X; Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China.
  • Liu Y; School of Public Health, Lanzhou University, Lanzhou 730000, China.
  • Ren M; Evidence-based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China.
  • Zhang X; National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Cho
  • Wang L; Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China.
  • Ma Y; Department of Radiology, Children's Hospital of Chongqing Medical University, Chongqing 400014, China.
  • Lei J; National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Cho
  • Fukuoka T; Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China.
  • Ahn HS; Department of Radiology, Children's Hospital of Chongqing Medical University, Chongqing 400014, China.
  • Lee MS; School of Public Health, Lanzhou University, Lanzhou 730000, China.
  • Luo Z; School of Public Health, Lanzhou University, Lanzhou 730000, China.
  • Chen Y; The First School of Clinical Medicine, Lanzhou University, Lanzhou 730000, China.
  • Liu E; School of Public Health, Lanzhou University, Lanzhou 730000, China.
  • Tian J; Evidence-based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China.
  • Wang X; Department of Radiology, The First Affiliated Hospital, Lanzhou University, Lanzhou 730000, China.
Ann Transl Med ; 8(10): 622, 2020 May.
Article in English | MEDLINE | ID: covidwho-609911
Preprint
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ABSTRACT

BACKGROUND:

The outbreak of the coronavirus disease 2019 (COVID-19) has had a massive impact on the whole world. Computed tomography (CT) has been widely used in the diagnosis of this novel pneumonia. This study aims to understand the role of CT for the diagnosis and the main imaging manifestations of patients with COVID-19.

METHODS:

We conducted a rapid review and meta-analysis on studies about the use of chest CT for the diagnosis of COVID-19. We comprehensively searched databases and preprint servers on chest CT for patients with COVID-19 between 1 January 2020 and 31 March 2020. The primary outcome was the sensitivity of chest CT imaging. We also conducted subgroup analyses and evaluated the quality of evidence using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach.

RESULTS:

A total of 103 studies with 5,673 patients were included. Using reverse transcription polymerase chain reaction (RT-PCR) results as reference, a meta-analysis based on 64 studies estimated the sensitivity of chest CT imaging in COVID-19 was 99% (95% CI, 0.97-1.00). If case reports were excluded, the sensitivity in case series was 96% (95% CI, 0.93-0.99). The sensitivity of CT scan in confirmed patients under 18 years old was only 66% (95% CI, 0.15-1.00). The most common imaging manifestation was ground-glass opacities (GGO) which was found in 75% (95% CI, 0.68-0.82) of the patients. The pooled probability of bilateral involvement was 84% (95% CI, 0.81-0.88). The most commonly involved lobes were the right lower lobe (84%, 95% CI, 0.78-0.90) and left lower lobe (81%, 95% CI, 0.74-0.87). The quality of evidence was low across all outcomes.

CONCLUSIONS:

In conclusion, this meta-analysis indicated that chest CT scan had a high sensitivity in diagnosis of patients with COVID-19. Therefore, CT can potentially be used to assist in the diagnosis of COVID-19.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study / Reviews Language: English Journal: Ann Transl Med Year: 2020 Document Type: Article Affiliation country: Atm-20-3311

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study / Reviews Language: English Journal: Ann Transl Med Year: 2020 Document Type: Article Affiliation country: Atm-20-3311