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. 2020 May 8;297(1):E232–E235. doi: 10.1148/radiol.2020201697

Brain MRI Findings in Patients in the Intensive Care Unit with COVID-19 Infection

Sedat G Kandemirli 1, Lerzan Dogan 1, Zeynep T Sarikaya 1, Simay Kara 1, Canan Akinci 1, Dilaver Kaya 1, Yildiz Kaya 1, Duzgun Yildirim 1, Filiz Tuzuner 1, Mustafa S Yildirim 1, Enes Ozluk 1, Bulent Gucyetmez 1, Ercan Karaarslan 1, Isil Koyluoglu 1, Hande S Demirel Kaya 1, Orkhan Mammadov 1, Ilkay Kisa Ozdemir 1, Nazire Afsar 1, Beyza Citci Yalcinkaya 1, Sevdinaz Rasimoglu 1, Duygu E Guduk 1, Ararso Kedir Jima 1, Aylin Ilksoz 1, Vildan Ersoz 1, Meltem Yonca Eren 1, Nilufer Celtik 1, Serdar Arslan 1, Bora Korkmazer 1, Saban S Dincer 1, Elif Gulek 1, Ibrahim Dikmen 1, Murathan Yazici 1, Serkan Unsal 1, Taner Ljama 1, Ismail Demirel 1, Aykut Ayyildiz 1, Isil Kesimci 1, Sahika Bolsoy Deveci 1, Melih Tutuncu 1, Osman Kizilkilic 1, Lutfi Telci 1, Rehile Zengin 1, Alp Dincer 1, Ibrahim O Akinci 1, Naci Kocer 1,
PMCID: PMC7507997  PMID: 32384020

Abstract

Online supplemental material is available for this article.

Introduction

A novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), caused an outbreak of severe pneumonia (coronavirus disease 2019 [COVID-19]) in China that rapidly spread throughout the globe. Recent evidence highlights a relatively high percentage (36%) of central nervous system symptoms, including headache, altered mental status, acute cerebrovascular disease, and epilepsy, in patients with COVID-19 (1). The rate of neurologic symptoms is higher in patients with a more severe respiratory disease status (1). The relatively high percentage of neurologic symptoms is concordant with studies showing neurotropism of coronavirus (2).

The current literature is limited regarding neuroimaging findings in patients with COVID-19, including acute hemorrhagic necrotizing encephalopathy and meningoencephalitis (35). The purpose of this study was to describe brain MRI findings in the evaluation of patients in the intensive care unit (ICU) with COVID-19 pneumonia.

Materials and Methods

Local institutional review board approval was obtained for this retrospective study for patients evaluated between March 1 and April 18, 2020. The requirement for informed consent was waived. The clinical course, neurologic findings, laboratory data (including cerebrospinal fluid analysis), and neuroimaging findings were retrospectively reviewed using a structured research form.

Indications and timing for brain MRI in patients on mechanical ventilation were determined using a protocol established by ICU teams. Full details are in Appendix E1 (online). MRI scans were initially analyzed by neuroradiologists at the institution. Subsequently, all images were reviewed by two neuroradiologists (A.D., with 29 years of experience in neuroradiology and N.K., with 29 years of experience in neuroradiology) in consensus.

Results

Of 749 inpatients with COVID-19 infection at eight hospitals (two university hospitals and six university-affiliated hospitals), 235 patients (31%) required ICU admission during hospitalization. Fifty of the 235 ICU patients (21%; 95% confidence interval [CI]: 16%, 27%) developed neurologic symptoms.

Brain MRI was performed in 27 of 50 patients (54%) with neurologic symptoms (Fig 1, Table). The median age of patients who underwent MRI was 63 years (range, 34–87 years; 21 men). Twelve of 27 patients (44%, 95% CI: 25%, 65%) who underwent MRI had acute findings. In 10 of 27 patients (37%), cortical fluid-attenuated inversion recovery MRI scans showed signal intensity abnormality (Fig 2; Figures E1E4 [online]). Accompanying subcortical and deep white matter signal intensity abnormality on fluid-attenuated inversion recovery images was seen in three patients. Abnormalities involved the frontal lobe in four patients, the parietal lobe in three patients, the occipital lobe in four patients, the temporal lobe in one patient, the insular cortex in three patients, and the cingulate gyrus in three patients.

Figure 1:

Flowchart of patient inclusion. COVID-19 = coronavirus disease 2019, RT-PCR = reverse-transcription polymerase chain reaction.

Flowchart of patient inclusion. COVID-19 = coronavirus disease 2019, RT-PCR = reverse-transcription polymerase chain reaction.

Demographic and Clinical Features of Patients with COVID-19 Infection in the ICU with Cranial MRI

graphic file with name radiol.2020201697.tbl1.jpg

Figure 2:

Contrast material–enhanced cranial 1.5-T MRI scans in a 59-year-old intubated man with altered mental status despite tapering of sedoanalgesia. A, B, Axial fluid-attenuated inversion recovery images at level of, A, midbrain and, B, centrum semiovale demonstrate prominent symmetric white matter hyperintensity and right frontal cortical hyperintensity. Prominent linear hyperintensity within frontal sulci is also shown. C, Axial diffusion-weighted image (b = 2000 sec/mm2) shows frontal increased signal intensity. There was also a corresponding low apparent diffusion coefficient (not shown) D, Axial T1-weighted image shows right frontal sulcal effacement. E, Postcontrast T1-weighted image shows mild pial-subarachnoid enhancement. F, G, Axial susceptibility-weighted images at level of, F, corona radiata and, G, centrum semiovale demonstrate blooming artifact in the frontal sulci. H, Postcontrast fluid-attenuated inversion recovery image depicts bilateral leptomeningeal enhancement.

Contrast material–enhanced cranial 1.5-T MRI scans in a 59-year-old intubated man with altered mental status despite tapering of sedoanalgesia. A, B, Axial fluid-attenuated inversion recovery images at level of, A, midbrain and, B, centrum semiovale demonstrate prominent symmetric white matter hyperintensity and right frontal cortical hyperintensity. Prominent linear hyperintensity within frontal sulci is also shown. C, Axial diffusion-weighted image (b = 2000 sec/mm2) shows frontal increased signal intensity. There was also a corresponding low apparent diffusion coefficient (not shown) D, Axial T1-weighted image shows right frontal sulcal effacement. E, Postcontrast T1-weighted image shows mild pial-subarachnoid enhancement. F, G, Axial susceptibility-weighted images at level of, F, corona radiata and, G, centrum semiovale demonstrate blooming artifact in the frontal sulci. H, Postcontrast fluid-attenuated inversion recovery image depicts bilateral leptomeningeal enhancement.

Cerobrospinal fluid was obtained in five of 10 patients with cortical signal intensity abnormalities. The total protein level was elevated (mean, 79.9 mg/dL; range, 59.9–109.7 mg/dL) in four of these patients. The cell count, glucose levels, immunoglobulin G index, and albumin level were within normal limits, and reverse-transcription polymerase chain reaction tests for herpes simplex virus DNA and SARS-CoV-2 yielded negative results in all five specimens. Oligoclonal bands were tested in three specimens and had negative results.

Other acute intracranial findings in the absence of cortical signal abnormality included one patient with acute transverse sinus thrombosis and one patient with acute infarction in the right middle cerebral artery territory.

In 15 of 27 patients (56%), MRI did not reveal any COVID-19–related or acute intracranial findings. Cerebrospinal fluid was obtained in two of these patients and showed elevated cerebrospinal fluid protein level (mean, 98 mg/dL) despite negative MRI findings. A full description of MRI findings is in Appendix E1 (online).

Discussion

Current evidence suggests an association of neurologic manifestations with COVID-19 infection, including acute stroke (6%) and altered mental status (15%) (1). Neurotropism of coronavirus may account for the relatively high percentage of neurologic involvement (6,7). In addition to neurotropism, another potential mechanism for neurologic manifestations might be related to cytokine storm syndrome (8). In addition to findings of encephalitis, increased thrombosis rates in coronavirus infection have been reported. In patients with severe acute respiratory syndrome coronavirus, an increased incidence of deep venous thrombosis and pulmonary embolism was observed despite optimal anticoagulant therapy (9). Additionally, intracranial arterial stroke has been reported in patients with severe acute respiratory syndrome who receive intravenous immunoglobulin treatment (9).

A recent series from France (5) reported that neurologic signs were present in 84% of patients with COVID-19 admitted to the ICU (49 of 58 patients). Brain MRI was performed in 13 patients, and leptomeningeal enhancement was noted in eight (5). In our series, the most common imaging finding was cortical signal intensity abnormalities on fluid-attenuated inversion recovery images (10 of 27 patients [37%]), accompanied by cortical diffusion restriction, leptomeningeal enhancement, or cortical blooming artifact in some of these patients. The main differential diagnosis for these findings is infectious or autoimmune encephalitis, seizure, hypoglycemia, and hypoxia (1016). The cases with bilateral frontal involvement may have hypoxia as underlying pathogenesis given the underlying respiratory distress and frontotemporal hypoperfusion, as demonstrated by Helms et al (5), in patients with COVID-19 admitted to the ICU. Cortical microhemorrhages and breakdown of the blood-brain barrier can accompany hypoxia, which can result in such an imaging pattern. Postictal state is also a plausible cause for our imaging findings; however, the relative symmetry and deep white matter involvement in our patients do not support postictal changes. Hypoglycemia can act as a potential mimicker; however, no episode of hypoglycemia occurred during the ICU course of patients. COVID-19, with its neurotropic potential, may result in infectious or autoimmune encephalitis (3,4). Certain viral and autoimmune encephalitis can have a specific pattern of involvement that can help establish a differential list. However, the nonspecific imaging pattern in our series can make it difficult to achieve a specific diagnosis on the basis of MRI results (10). In addition, the complex clinical course, including comorbid conditions such as diabetes mellitus, a long ICU stay with multidrug regimens, and respiratory distress with hypoxia episodes, can all act as confounding factors. A clear cause-and-effect relationship between COVID-19 infection and MRI findings is hard to establish in the absence of more specific cerebrospinal fluid findings. More data are needed to determine which imaging findings are related to neurotropism of COVID-19 and which are related to other causes such as cytokine storm syndrome, hypoxia, subclinical seizures, and critical illness–related encephalopathy.

Limitations of the current study are its retrospective and multicenter nature and the lack of standardization of indications across hospitals.

This report may help increase awareness of possible neurologic involvement of SARS-CoV-2 in patients in the ICU and especially in patients who do not tolerate extubation despite improvement of respiratory findings.

APPENDIX

Appendix E1 (PDF)
ry201697suppa1.pdf (90.1KB, pdf)

SUPPLEMENTAL FIGURES

Figure E1:
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Figure E2:
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Figure E3:
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Figure E4:
ry201697suppf4.jpg (60.9KB, jpg)

Footnotes

*

A.D. and I.O.A. contributed equally to this work.

Disclosures of Conflicts of Interest: S.G.K. disclosed no relevant relationships. L.D. disclosed no relevant relationships. Z.T.S. disclosed no relevant relationships. S.K. disclosed no relevant relationships. C.A. disclosed no relevant relationships. D.K. disclosed no relevant relationships. Y.K. disclosed no relevant relationships. D.Y. disclosed no relevant relationships. F.T. disclosed no relevant relationships. M.S.Y. disclosed no relevant relationships. E.O. disclosed no relevant relationships. B.G. disclosed no relevant relationships. E.K. disclosed no relevant relationships. I. Koyluoglu disclosed no relevant relationships. H.S.D.K. disclosed no relevant relationships. O.M. disclosed no relevant relationships. I.K.O. disclosed no relevant relationships. N.A. disclosed no relevant relationships. B.C.Y. disclosed no relevant relationships. S.R. disclosed no relevant relationships. D.E.G. disclosed no relevant relationships. A.K.J. disclosed no relevant relationships. A.I. disclosed no relevant relationships. V.E. disclosed no relevant relationships. M.Y.E. disclosed no relevant relationships. N.C. disclosed no relevant relationships. S.A. disclosed no relevant relationships. B.K. disclosed no relevant relationships. S.S.D. disclosed no relevant relationships. E.G. disclosed no relevant relationships. I. Dikmen disclosed no relevant relationships. M.Y. disclosed no relevant relationships. S.U. disclosed no relevant relationships. T.L. disclosed no relevant relationships. I. Demirel disclosed no relevant relationships. A.A. disclosed no relevant relationships. I. Kesimci disclosed no relevant relationships. S.B.D. disclosed no relevant relationships. M.T. disclosed no relevant relationships. O.K. disclosed no relevant relationships. L.T. disclosed no relevant relationships. R.Z. disclosed no relevant relationships. A.D. disclosed no relevant relationships. I.O.A. disclosed no relevant relationships. N.K. Activities related to the present article: disclosed no relevant relationships. Activities not related to the present article: disclosed no relevant relationships. Other relationships: has a proctoring and consultancy agreement for interventional neuroradiology procedures with MicroVention.

References

  • 1.Mao L, Jin H, Wang M, et al. Neurologic Manifestations of Hospitalized Patients With Coronavirus Disease 2019 in Wuhan, China. JAMA Neurol 2020 Apr 10 [Epub ahead of print]. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Desforges M, Le Coupanec A, Stodola JK, Meessen-Pinard M, Talbot PJ. Human coronaviruses: viral and cellular factors involved in neuroinvasiveness and neuropathogenesis. Virus Res 2014;194:145–158. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Moriguchi T, Harii N, Goto J, et al. A first case of meningitis/encephalitis associated with SARS-Coronavirus-2. Int J Infect Dis 2020;94:55–58. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Poyiadji N, Shahin G, Noujaim D, Stone M, Patel S, Griffith B. COVID-19-associated Acute Hemorrhagic Necrotizing Encephalopathy: CT and MRI Features. Radiology 2020 Mar 31:201187 [Epub ahead of print]. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Helms J, Kremer S, Merdji H, et al. Neurologic Features in Severe SARS-CoV-2 Infection. N Engl J Med 2020 Apr 15 [Epub ahead of print] 10.1056/NEJMc2008597. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Morfopoulou S, Brown JR, Davies EG, et al. Human Coronavirus OC43 Associated with Fatal Encephalitis. N Engl J Med 2016;375(5):497–498. [DOI] [PubMed] [Google Scholar]
  • 7.Tsai LK, Hsieh ST, Chang YC. Neurological manifestations in severe acute respiratory syndrome. Acta Neurol Taiwan 2005;14(3):113–119. [PubMed] [Google Scholar]
  • 8.Mehta P, McAuley DF, Brown M, et al. COVID-19: consider cytokine storm syndromes and immunosuppression. Lancet 2020;395(10229):1033–1034. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Umapathi T, Kor AC, Venketasubramanian N, et al. Large artery ischaemic stroke in severe acute respiratory syndrome (SARS). J Neurol 2004;251(10):1227–1231. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Koeller KK, Shih RY. Viral and Prion Infections of the Central Nervous System: Radiologic-Pathologic Correlation: From the Radiologic Pathology Archives. RadioGraphics 2017;37(1):199–233. [DOI] [PubMed] [Google Scholar]
  • 11.Kelley BP, Patel SC, Marin HL, Corrigan JJ, Mitsias PD, Griffith B. Autoimmune Encephalitis: Pathophysiology and Imaging Review of an Overlooked Diagnosis. AJNR Am J Neuroradiol 2017;38(6):1070–1078. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Cianfoni A, Caulo M, Cerase A, et al. Seizure-induced brain lesions: a wide spectrum of variably reversible MRI abnormalities. Eur J Radiol 2013;82(11):1964–1972. [DOI] [PubMed] [Google Scholar]
  • 13.Muttikkal TJ, Wintermark M. MRI patterns of global hypoxic-ischemic injury in adults. J Neuroradiol 2013;40(3):164–171. [DOI] [PubMed] [Google Scholar]
  • 14.Bathla G, Policeni B, Agarwal A. Neuroimaging in patients with abnormal blood glucose levels. AJNR Am J Neuroradiol 2014;35(5):833–840. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.McKinney AM, Sarikaya B, Gustafson C, Truwit CL. Detection of microhemorrhage in posterior reversible encephalopathy syndrome using susceptibility-weighted imaging. AJNR Am J Neuroradiol 2012;33(5):896–903. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Fanou EM, Coutinho JM, Shannon P, et al. Critical Illness-Associated Cerebral Microbleeds. Stroke 2017;48(4):1085–1087. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Appendix E1 (PDF)
ry201697suppa1.pdf (90.1KB, pdf)
Figure E1:
ry201697suppf1.jpg (126.5KB, jpg)
Figure E2:
ry201697suppf2.jpg (136.1KB, jpg)
Figure E3:
ry201697suppf3.jpg (134.3KB, jpg)
Figure E4:
ry201697suppf4.jpg (60.9KB, jpg)

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