Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2020 Dec:133:109393.
doi: 10.1016/j.ejrad.2020.109393. Epub 2020 Nov 3.

Neuroimaging findings of brain MRI and CT in patients with COVID-19: A systematic review and meta-analysis

Affiliations
Meta-Analysis

Neuroimaging findings of brain MRI and CT in patients with COVID-19: A systematic review and meta-analysis

Yangsean Choi et al. Eur J Radiol. 2020 Dec.

Abstract

Purpose: To comprehensively evaluate the incidences of abnormal neuroimaging findings in patients with COVID-19 via a systematic review and meta-analysis.

Method: PubMed-MEDLINE and EMBASE were searched for original articles reporting imaging findings of the brain in adult patients with COVID-19 between January 1, 2020 and October 9, 2020. Abnormal neuroimaging findings were categorized as (1) cerebral microhemorrhages, (2) acute spontaneous intracranial hemorrhage (ICH), (3) acute to subacute infarcts, and (4) encephalitis or encephalopathy. Pooled incidences of neuroimaging findings were assessed using random-effects modeling. Between-study heterogeneity was explored by using the χ2 statistic for pooled incidences and the inconsistency index I2. The quality of the studies was evaluated using the Risk of Bias Assessment Tool for Nonrandomized Studies. Subgroup meta-regression analysis was performed to identify potential sources of heterogeneity.

Results: Twenty-one eligible papers, including 2125 patients, were identified. The pooled incidences of cerebral microhemorrhages, acute spontaneous ICH, acute/subacute infarcts, and encephalitis/encephalopathy were 6.9 % (95 % confidence interval [CI], 4.9 %-8.9 %), 5.4 % (95 % CI, 3.1 %-7.6 %), 24.0 % (95 % CI, 16.1 %-31.8 %), and 3.3 % (95 % CI, 1.9 %-4.7 %), respectively. Substantial heterogeneities were noted for all neuroimaging findings (I2 = 87 %-97 %). Significant publication biases were present in the pooled incidences. In the subgroup meta-regression analysis, patients with mean or median ages over 65 years showed a significantly lower incidence of encephalitis/encephalopathy (P < 0.001). Furthermore, studies reported that patients in ICU had significantly higher incidences of cerebral microhemorrhages (P < 0.001) and encephalitis/encephalopathy (P < 0.001).

Conclusions: Considerable incidences of abnormal neuroimaging findings have been reported in patients with COVID-19. Acute to subacute cerebral infarction was the most prevalent neuroimaging finding.

Keywords: Brain diseases; COVID-19; Neuroimaging; Prevalence; Severe acute respiratory syndrome coronavirus 2.

PubMed Disclaimer

Conflict of interest statement

The authors report no declarations of interest.

Figures

Fig. 1
Fig. 1
Flow diagram depicting the study eligibility criteria.
Fig. 2
Fig. 2
The RoBANS criteria of the included studies. RoBANS = Risk of Bias Assessment Tool for Nonrandomized Studies.
Fig. 3
Fig. 3
Forest plots of pooled incidences of (a) cerebral microhemorrhage, (a) acute spontaneous ICH, (c) acute/subacute infarct, and (d) encephalitis/encephalopathy in patients with COVID-19. COVID-19=coronavirus disease 2019; ICH = intracranial hemorrhage.
Fig. 4
Fig. 4
Funnel plots of pooled incidences of (a) cerebral microhemorrhage, (b) acute spontaneous ICH, (c) acute/subacute infarct, and (d) encephalitis/encephalopathy in patients with COVID-19. COVID-19=coronavirus disease 2019; ICH = intracranial hemorrhage.

Similar articles

Cited by

References

    1. Zhou P., Yang X.-L., Wang X.-G., Hu B., Zhang L., Zhang W., Si H.-R., Zhu Y., Li B., Huang C.-L. A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature. 2020;579(7798):270–273. - PMC - PubMed
    1. COVID-19 Map: Johns Hopkins Coronavirus Resource Center. https://coronavirus.jhu.edu/map.html. (Accessed October 21,2020.
    1. Mao L., Jin H., Wang M., Hu Y., Chen S., He Q., Chang J., Hong C., Zhou Y., Wang D. Neurologic manifestations of hospitalized patients with coronavirus disease 2019 in Wuhan, China. JAMA Neurol. 2020;77(6):683–690. - PMC - PubMed
    1. Helms J., Kremer S., Merdji H., Clere-Jehl R., Schenck M., Kummerlen C., Collange O., Boulay C., Fafi-Kremer S., Ohana M., Anheim M., Meziani F. Neurologic features in severe SARS-COV-2 infection. N. Engl. J. Med. 2020;382(23):2268–2270. - PMC - PubMed
    1. Lu Y., Li X., Geng D., Mei N., Wu P.-Y., Huang C.-C., Jia T., Zhao Y., Wang D., Xiao A. Cerebral micro-structural changes in COVID-19 patients–An MRI-based 3-month follow-up study. EClinicalMedicine. 2020 - PMC - PubMed