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CT Manifestations and Clinical Characteristics of 1115 Patients with Coronavirus Disease 2019 (COVID-19): A Systematic Review and Meta-analysis.
Acad Radiol. 2020 07; 27(7):910-921.AR

Abstract

RATIONALE AND OBJECTIVES

We aimed to assess the prevalence of significant computed tomographic(CT) manifestations and describe some notable features based on chest CT images, as well as the main clinical features of patients with coronavirus disease 2019(COVID-19).

MATERIALS AND METHODS

A systematic literature search of PubMed, EMBASE, the Cochrane Library, and Web of Science was performed to identify studies assessing CT features, clinical, and laboratory results of COVID-19 patients. A single-arm meta-analysis was conducted to obtain the pooled prevalence and 95% confidence interval (95% CI).

RESULTS

A total of 14 articles (including 1115 patients) based on chest CT images were retrieved. In the lesion patterns on chest CTs, we found that pure ground-glass opacities (GGO) (69%, 95% CI 58-80%), consolidation (47%, 35-60%) and "air bronchogram sign" (46%, 25-66%) were more common than the atypical lesion of "crazy-paving pattern" (15%, 8-22%). With regard to disease extent and involvement, 70% (95% CI 46-95%) of cases showed a location preference for the right lower lobe, 65% (58-73%) of patients presented with ≥3 lobes involvement, and meanwhile, 42% (32-53%) of patients had involvement of all five lobes, while 67% (55-78%) of patients showed a predominant peripheral distribution. An understanding of some important CT features might be helpful for medical surveillance and management. In terms of clinical features, muscle soreness (21%, 95% CI 15-26%) and diarrhea (7%, 4-10%) were minor symptoms compared to fever (80%, 74-87%) and cough (53%, 33-72%).

CONCLUSION

Chest CT manifestations in patients with COVID-19, as well as its main clinical characteristics, might be helpful in disease evolution and management.

Authors+Show Affiliations

Department of Radiology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, PR China.Department of Cardiology, Guangdong Provincial People's Hospital, No. 106, Zhongshan 2nd Road, Guangzhou, 510000, China.Department of Radiology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, PR China.Department of Radiology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, PR China.Department of Ultrasound, The General Hospital of the People's Liberation Army, No. 28 Fuxing road, Haidian district, Beijing 100089, China.GE Healthcare China. No.1, Huatuo road, Pudong new town, Shanghai 210000, China.Department of Radiology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, PR China. Electronic address: songlab_radiology@163.com.

Pub Type(s)

Journal Article
Meta-Analysis
Systematic Review

Language

eng

PubMed ID

32505599

Citation

Wan, Shang, et al. "CT Manifestations and Clinical Characteristics of 1115 Patients With Coronavirus Disease 2019 (COVID-19): a Systematic Review and Meta-analysis." Academic Radiology, vol. 27, no. 7, 2020, pp. 910-921.
Wan S, Li M, Ye Z, et al. CT Manifestations and Clinical Characteristics of 1115 Patients with Coronavirus Disease 2019 (COVID-19): A Systematic Review and Meta-analysis. Acad Radiol. 2020;27(7):910-921.
Wan, S., Li, M., Ye, Z., Yang, C., Cai, Q., Duan, S., & Song, B. (2020). CT Manifestations and Clinical Characteristics of 1115 Patients with Coronavirus Disease 2019 (COVID-19): A Systematic Review and Meta-analysis. Academic Radiology, 27(7), 910-921. https://doi.org/10.1016/j.acra.2020.04.033
Wan S, et al. CT Manifestations and Clinical Characteristics of 1115 Patients With Coronavirus Disease 2019 (COVID-19): a Systematic Review and Meta-analysis. Acad Radiol. 2020;27(7):910-921. PubMed PMID: 32505599.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - CT Manifestations and Clinical Characteristics of 1115 Patients with Coronavirus Disease 2019 (COVID-19): A Systematic Review and Meta-analysis. AU - Wan,Shang, AU - Li,Mingqi, AU - Ye,Zheng, AU - Yang,Caiwei, AU - Cai,Qian, AU - Duan,Shaofeng, AU - Song,Bin, Y1 - 2020/05/05/ PY - 2020/03/23/received PY - 2020/04/14/revised PY - 2020/04/25/accepted PY - 2020/6/9/pubmed PY - 2020/7/3/medline PY - 2020/6/8/entrez KW - COVID-19 KW - CT manifestations KW - Clinical features KW - Laboratory KW - Meta-analysis SP - 910 EP - 921 JF - Academic radiology JO - Acad Radiol VL - 27 IS - 7 N2 - RATIONALE AND OBJECTIVES: We aimed to assess the prevalence of significant computed tomographic(CT) manifestations and describe some notable features based on chest CT images, as well as the main clinical features of patients with coronavirus disease 2019(COVID-19). MATERIALS AND METHODS: A systematic literature search of PubMed, EMBASE, the Cochrane Library, and Web of Science was performed to identify studies assessing CT features, clinical, and laboratory results of COVID-19 patients. A single-arm meta-analysis was conducted to obtain the pooled prevalence and 95% confidence interval (95% CI). RESULTS: A total of 14 articles (including 1115 patients) based on chest CT images were retrieved. In the lesion patterns on chest CTs, we found that pure ground-glass opacities (GGO) (69%, 95% CI 58-80%), consolidation (47%, 35-60%) and "air bronchogram sign" (46%, 25-66%) were more common than the atypical lesion of "crazy-paving pattern" (15%, 8-22%). With regard to disease extent and involvement, 70% (95% CI 46-95%) of cases showed a location preference for the right lower lobe, 65% (58-73%) of patients presented with ≥3 lobes involvement, and meanwhile, 42% (32-53%) of patients had involvement of all five lobes, while 67% (55-78%) of patients showed a predominant peripheral distribution. An understanding of some important CT features might be helpful for medical surveillance and management. In terms of clinical features, muscle soreness (21%, 95% CI 15-26%) and diarrhea (7%, 4-10%) were minor symptoms compared to fever (80%, 74-87%) and cough (53%, 33-72%). CONCLUSION: Chest CT manifestations in patients with COVID-19, as well as its main clinical characteristics, might be helpful in disease evolution and management. SN - 1878-4046 UR - https://www.unboundmedicine.com/medline/citation/32505599/CT_Manifestations_and_Clinical_Characteristics_of_1115_Patients_with_Coronavirus_Disease_2019__COVID_19_:_A_Systematic_Review_and_Meta_analysis_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S1076-6332(20)30245-2 DB - PRIME DP - Unbound Medicine ER -