Neuroimaging Findings in Patients with COVID-19: A Systematic Review and Meta-Analysis

Pyeong Hwa Kim, Minjae Kim, Chong Hyun Suh, Sae Rom Chung, Ji Eun Park, Soo Chin Kim, Young Jun Choi, Jeong Hyun Lee, Ho Sung Kim, Jung Hwan Baek, Choong Gon Choi, Sang Joon Kim, Pyeong Hwa Kim, Minjae Kim, Chong Hyun Suh, Sae Rom Chung, Ji Eun Park, Soo Chin Kim, Young Jun Choi, Jeong Hyun Lee, Ho Sung Kim, Jung Hwan Baek, Choong Gon Choi, Sang Joon Kim

Abstract

Objective: Central nervous system involvement in coronavirus disease 2019 (COVID-19) has been increasingly reported. We performed a systematic review and meta-analysis to evaluate the incidence of radiologically demonstrated neurologic complications and detailed neuroimaging findings associated with COVID-19.

Materials and methods: A systematic literature search of MEDLINE/PubMed and EMBASE databases was performed up to September 17, 2020, and studies evaluating neuroimaging findings of COVID-19 using brain CT or MRI were included. Several cohort-based outcomes, including the proportion of patients with abnormal neuroimaging findings related to COVID-19 were evaluated. The proportion of patients showing specific neuroimaging findings was also assessed. Subgroup analyses were also conducted focusing on critically ill COVID-19 patients and results from studies that used MRI as the only imaging modality.

Results: A total of 1394 COVID-19 patients who underwent neuroimaging from 17 studies were included; among them, 3.4% of the patients demonstrated COVID-19-related neuroimaging findings. Olfactory bulb abnormalities were the most commonly observed (23.1%). The predominant cerebral neuroimaging finding was white matter abnormality (17.6%), followed by acute/subacute ischemic infarction (16.0%), and encephalopathy (13.0%). Significantly more critically ill patients had COVID-19-related neuroimaging findings than other patients (9.1% vs. 1.6%; p = 0.029). The type of imaging modality used did not significantly affect the proportion of COVID-19-related neuroimaging findings.

Conclusion: Abnormal neuroimaging findings were occasionally observed in COVID-19 patients. Olfactory bulb abnormalities were the most commonly observed finding. Critically ill patients showed abnormal neuroimaging findings more frequently than the other patient groups. White matter abnormalities, ischemic infarctions, and encephalopathies were the common cerebral neuroimaging findings.

Keywords: COVID-19; Computed tomography; Magnetic resonance imaging; Meta-analysis; Neuroimaging.

Conflict of interest statement

The authors have no potential conflicts of interest to disclose.

Copyright © 2021 The Korean Society of Radiology.

Figures

Fig. 1. Venn diagram illustrating the cohort-based…
Fig. 1. Venn diagram illustrating the cohort-based outcomes used in this study.
1) proportion of patients with NS among all COVID-19 patients (NS/C); 2) proportion of patients with NI among patients with NI-NS; 3) proportion of patients who underwent NI among all patients assessed (NI/C); 4) proportion of patients with any NI findings among the patients who underwent NI (NF/NI); 5) proportion of patients with NFC among the patients who underwent NI (NFC/NI); 6) proportion of patients with NFC among all patients assessed (NFC/C). COVID-19 = coronavirus disease 2019, NF = NI findings, NFC = NF related to COVID-19, NI = neuroimaging, NS = neurologic symptoms
Fig. 2. Flow chart depicting the study…
Fig. 2. Flow chart depicting the study selection process.
Fig. 3. Forest plots representing the proportion…
Fig. 3. Forest plots representing the proportion of the patients with specific neuroimaging findings among the patients who underwent neuroimaging studies.
Pooled estimates with 95% CIs were determined using DerSimonian-Laird random-effects modeling. CI = confidence interval

References

    1. Zhou P, Yang XL, Wang XG, Hu B, Zhang L, Zhang W, et al. A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature. 2020;579:270–273.
    1. Zubair AS, McAlpine LS, Gardin T, Farhadian S, Kuruvilla DE, Spudich S. Neuropathogenesis and neurologic manifestations of the coronaviruses in the age of coronavirus disease 2019: a review. JAMA Neurol. 2020;77:1018–1027.
    1. Mao L, Jin H, Wang M, Hu Y, Chen S, He Q, et al. Neurologic manifestations of hospitalized patients with coronavirus disease 2019 in Wuhan, China. JAMA Neurol. 2020;77:683–690.
    1. Wira CR, Goyal M, Southerland AM, Sheth KN, McNair ND, Khosravani H, et al. Pandemic guidance for stroke centers aiding COVID-19 treatment teams. Stroke. 2020;51:2587–2592.
    1. Leira EC, Russman AN, Biller J, Brown DL, Bushnell CD, Caso V, et al. Preserving stroke care during the COVID-19 pandemic: potential issues and solutions. Neurology. 2020;95:124–133.
    1. Liotta EM, Batra A, Clark JR, Shlobin NA, Hoffman SC, Orban ZS, et al. Frequent neurologic manifestations and encephalopathy-associated morbidity in Covid-19 patients. Ann Clin Transl Neurol. 2020;7:2221–2230.
    1. Klironomos S, Tzortzakakis A, Kits A, Öhberg C, Kollia E, Ahoromazdae A, et al. Nervous system involvement in coronavirus disease 2019: results from a retrospective consecutive neuroimaging cohort. Radiology. 2020;297:E324–E334.
    1. Kremer S, Lersy F, Anheim M, Merdji H, Schenck M, Oesterlé H, et al. Neurologic and neuroimaging findings in patients with COVID-19: a retrospective multicenter study. Neurology. 2020;95:e1868–e1882.
    1. Lin E, Lantos JE, Strauss SB, Phillips CD, Campion TR, Jr, Navi BB, et al. Brain imaging of patients with COVID-19: findings at an academic institution during the height of the outbreak in New York City. AJNR Am J Neuroradiol. 2020;41:2001–2008.
    1. Paterson RW, Brown RL, Benjamin L, Nortley R, Wiethoff S, Bharucha T, et al. The emerging spectrum of COVID-19 neurology: clinical, radiological and laboratory findings. Brain. 2020;143:3104–3120.
    1. Radmanesh A, Raz E, Zan E, Derman A, Kaminetzky M. Brain imaging use and findings in COVID-19: a single academic center experience in the epicenter of disease in the United States. AJNR Am J Neuroradiol. 2020;41:1179–1183.
    1. Yoon BC, Buch K, Lang M, Applewhite BP, Li MD, Mehan WA, Jr, et al. Clinical and neuroimaging correlation in patients with COVID-19. AJNR Am J Neuroradiol. 2020;41:1791–1796.
    1. Favas TT, Dev P, Chaurasia RN, Chakravarty K, Mishra R, Joshi D, et al. Neurological manifestations of COVID-19: a systematic review and meta-analysis of proportions. Neurol Sci. 2020;41:3437–3470.
    1. Collantes MEV, Espiritu AI, Sy MCC, Anlacan VMM, Jamora RDG. Neurological manifestations in COVID-19 infection: a systematic review and meta-analysis. Can J Neurol Sci. 2021;48:66–76.
    1. Nazari S, Azari Jafari A, Mirmoeeni S, Sadeghian S, Heidari ME, Sadeghian S, et al. Central nervous system manifestations in COVID-19 patients: a systematic review and meta-analysis. Brain Behav. 2021;11:e02025.
    1. Pinzon RT, Wijaya VO, Buana RB, Al Jody A, Nunsio PN. Neurologic characteristics in coronavirus disease 2019 (COVID-19): a systematic review and meta-analysis. Front Neurol. 2020;11:565.
    1. Chen X, Laurent S, Onur OA, Kleineberg NN, Fink GR, Schweitzer F, et al. A systematic review of neurological symptoms and complications of COVID-19. J Neurol. 2021;268:392–402.
    1. Choi Y, Lee MK. Neuroimaging findings of brain MRI and CT in patients with COVID-19: a systematic review and meta-analysis. Eur J Radiol. 2020;133:109393.
    1. Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gøtzsche PC, Ioannidis JP, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. BMJ. 2009;339:b2700.
    1. National Institutes of Health. Quality assessment tool for case series studies. Web site. [Accessed September 24, 2020]. .
    1. Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327:557–560.
    1. Kim KW, Lee J, Choi SH, Huh J, Park SH. Systematic review and meta-analysis of studies evaluating diagnostic test accuracy: a practical review for clinical researchers-part II. Statistical methods of meta-analysis. Korean J Radiol. 2015;16:1175–1187.
    1. Lee J, Kim KW, Choi SH, Huh J, Park SH. Systematic review and meta-analysis of studies evaluating diagnostic test accuracy: a practical review for clinical researchers-part II. Statistical methods of meta-analysis. Korean J Radiol. 2015;16:1188–1196.
    1. Egger M, Davey Smith G, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;315:629–634.
    1. Sterne JA, Egger M, Smith GD. Systematic reviews in health care: investigating and dealing with publication and other biases in meta-analysis. BMJ. 2001;323:101–105.
    1. National Health Commission of the People's Republic of China. Novel coronavirus pneumonia diagnosis and treatment plan (provisional 7th edition). Web site. [Accessed March 22, 2021].
    1. Agarwal S, Jain R, Dogra S, Krieger P, Lewis A, Nguyen V, et al. Cerebral microbleeds and leukoencephalopathy in critically ill patients with COVID-19. Stroke. 2020;51:2649–2655.
    1. Freeman CW, Masur J, Hassankhani A, Wolf RL, Levine JM, Mohan S. Coronavirus disease (COVID-19)-related disseminated leukoencephalopathy: a retrospective study of findings on brain MRI. AJR Am J Roentgenol. 2021;216:1046–1047.
    1. Grewal P, Pinna P, Hall JP, Dafer RM, Tavarez T, Pellack DR, et al. Acute ischemic stroke and COVID-19: experience from a comprehensive stroke center in Midwest US. Front Neurol. 2020;11:910.
    1. Radmanesh A, Derman A, Lui YW, Raz E, Loh JP, Hagiwara M, et al. COVID-19-associated diffuse leukoencephalopathy and microhemorrhages. Radiology. 2020;297:E223–E227.
    1. Scullen T, Keen J, Mathkour M, Dumont AS, Kahn L. Coronavirus 2019 (COVID-19)-associated encephalopathies and cerebrovascular disease: the new Orleans experience. World Neurosurg. 2020;141:e437–e446.
    1. Abenza-Abildúa MJ, Ramírez-Prieto MT, Moreno-Zabaleta R, Arenas-Valls N, Salvador-Maya MA, Algarra-Lucas C, et al. Neurological complications in critical patients with COVID-19. Neurologia. 2020;35:621–627.
    1. Chougar L, Shor N, Weiss N, Galanaud D, Leclercq D, Mathon B, et al. Retrospective observational study of brain MRI findings in patients with acute SARS-CoV-2 infection and neurologic manifestations. Radiology. 2020;297:E313–E323.
    1. Eliezer M, Hamel AL, Houdart E, Herman P, Housset J, Jourdaine C, et al. Loss of smell in patients with COVID-19: MRI data reveal a transient edema of the olfactory clefts. Neurology. 2020;95:e3145–e3152.
    1. Hernández-Fernández F, Sandoval Valencia H, Barbella-Aponte RA, Collado-Jiménez R, Ayo-Martín Ó, Barrena C, et al. Cerebrovascular disease in patients with COVID-19: neuroimaging, histological and clinical description. Brain. 2020;143:3089–3103.
    1. Kandemirli SG, Dogan L, Sarikaya ZT, Kara S, Akinci C, Kaya D, et al. Brain MRI findings in patients in the intensive care unit with COVID-19 infection. Radiology. 2020;297:E232–E235.
    1. Nawabi J, Morotti A, Wildgruber M, Boulouis G, Kraehling H, Schlunk F, et al. Clinical and imaging characteristics in patients with SARS-CoV-2 infection and acute intracranial hemorrhage. J Clin Med. 2020;9:2543
    1. Malhotra K, Gornbein J, Saver JL. Ischemic strokes due to large-vessel occlusions contribute disproportionately to stroke-related dependence and death: a review. Front Neurol. 2017;8:651.
    1. Dozois A, Hampton L, Kingston CW, Lambert G, Porcelli TJ, Sorenson D, et al. PLUMBER study (prevalence of large vessel occlusion strokes in Mecklenburg county emergency response) Stroke. 2017;48:3397–3399.
    1. Smith WS, Lev MH, English JD, Camargo EC, Chou M, Johnston SC, et al. Significance of large vessel intracranial occlusion causing acute ischemic stroke and TIA. Stroke. 2009;40:3834–3840.
    1. Rennert RC, Wali AR, Steinberg JA, Santiago-Dieppa DR, Olson SE, Pannell JS, et al. Epidemiology, natural history, and clinical presentation of large vessel ischemic stroke. Neurosurgery. 2019;85:S4–S8.
    1. Beyrouti R, Adams ME, Benjamin L, Cohen H, Farmer SF, Goh YY, et al. Characteristics of ischaemic stroke associated with COVID-19. J Neurol Neurosurg Psychiatry. 2020;91:889–891.
    1. Kremer S, Lersy F, de Sèze J, Ferré JC, Maamar A, Carsin-Nicol B, et al. Brain MRI findings in severe COVID-19: a retrospective observational study. Radiology. 2020;297:E242–E251.
    1. Bilinska K, Jakubowska P, Von Bartheld CS, Butowt R. Expression of the SARS-CoV-2 entry proteins, ACE2 and TMPRSS2, in cells of the olfactory epithelium: identification of cell types and trends with age. ACS Chem Neurosci. 2020;11:1555–1562.

Source: PubMed

3
Abonnere