Assessment of Brain Injury Using Portable, Low-Field Magnetic Resonance Imaging at the Bedside of Critically Ill Patients.


Journal

JAMA neurology
ISSN: 2168-6157
Titre abrégé: JAMA Neurol
Pays: United States
ID NLM: 101589536

Informations de publication

Date de publication:
08 Sep 2020
Historique:
entrez: 8 9 2020
pubmed: 9 9 2020
medline: 9 9 2020
Statut: aheadofprint

Résumé

Neuroimaging is a key step in the clinical evaluation of brain injury. Conventional magnetic resonance imaging (MRI) systems operate at high-strength magnetic fields (1.5-3 T) that require strict, access-controlled environments. Limited access to timely neuroimaging remains a key structural barrier to effectively monitor the occurrence and progression of neurological injury in intensive care settings. Recent advances in low-field MRI technology have allowed for the acquisition of clinically meaningful imaging outside of radiology suites and in the presence of ferromagnetic materials at the bedside. To perform an assessment of brain injury in critically ill patients in intensive care unit settings, using a portable, low-field MRI device at the bedside. This was a prospective, single-center cohort study of 50 patients admitted to the neuroscience or coronavirus disease 2019 (COVID-19) intensive care units at Yale New Haven Hospital in New Haven, Connecticut, from October 30, 2019, to May 20, 2020. Patients were eligible if they presented with neurological injury or alteration, no contraindications for conventional MRI, and a body habitus not exceeding the scanner's 30-cm vertical opening. Diagnosis of COVID-19 was determined by positive severe acute respiratory syndrome coronavirus 2 polymerase chain reaction nasopharyngeal swab result. Portable MRI in an intensive care unit room. Demographic, clinical, radiological, and treatment data were collected and analyzed. Brain imaging findings are described. Point-of-care MRI examinations were performed on 50 patients (16 women [32%]; mean [SD] age, 59 [12] years [range, 20-89 years]). Patients presented with ischemic stroke (n = 9), hemorrhagic stroke (n = 12), subarachnoid hemorrhage (n = 2), traumatic brain injury (n = 3), brain tumor (n = 4), and COVID-19 with altered mental status (n = 20). Examinations were acquired at a median of 5 (range, 0-37) days after intensive care unit admission. Diagnostic-grade T1-weighted, T2-weighted, T2 fluid-attenuated inversion recovery, and diffusion-weighted imaging sequences were obtained for 37, 48, 45, and 32 patients, respectively. Neuroimaging findings were detected in 29 of 30 patients who did not have COVID-19 (97%), and 8 of 20 patients with COVID-19 (40%) demonstrated abnormalities. There were no adverse events or complications during deployment of the portable MRI or scanning in an intensive care unit room. This single-center series of patients with critical illness in an intensive care setting demonstrated the feasibility of low-field, portable MRI. These findings demonstrate the potential role of portable MRI to obtain neuroimaging in complex clinical care settings.

Identifiants

pubmed: 32897296
pii: 2769858
doi: 10.1001/jamaneurol.2020.3263
pmc: PMC7489395
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NINDS NIH HHS
ID : K23 NS110980
Pays : United States
Organisme : NIA NIH HHS
ID : K76 AG059992
Pays : United States
Organisme : NINDS NIH HHS
ID : U01 NS106513
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001863
Pays : United States

Commentaires et corrections

Type : CommentIn

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Auteurs

Kevin N Sheth (KN)

Department of Neurology, Yale University School of Medicine, New Haven, Connecticut.

Mercy H Mazurek (MH)

Department of Neurology, Yale University School of Medicine, New Haven, Connecticut.

Matthew M Yuen (MM)

Department of Neurology, Yale University School of Medicine, New Haven, Connecticut.

Bradley A Cahn (BA)

Department of Neurology, Yale University School of Medicine, New Haven, Connecticut.

Jill T Shah (JT)

Department of Neurology, Yale University School of Medicine, New Haven, Connecticut.

Adrienne Ward (A)

Neuroscience Intensive Care Unit, Yale New Haven Hospital, New Haven, Connecticut.

Jennifer A Kim (JA)

Department of Neurology, Yale University School of Medicine, New Haven, Connecticut.

Emily J Gilmore (EJ)

Department of Neurology, Yale University School of Medicine, New Haven, Connecticut.

Guido J Falcone (GJ)

Department of Neurology, Yale University School of Medicine, New Haven, Connecticut.

Nils Petersen (N)

Department of Neurology, Yale University School of Medicine, New Haven, Connecticut.

Kevin T Gobeske (KT)

Department of Neurology, Yale University School of Medicine, New Haven, Connecticut.

Firas Kaddouh (F)

Department of Neurology, Yale University School of Medicine, New Haven, Connecticut.

David Y Hwang (DY)

Department of Neurology, Yale University School of Medicine, New Haven, Connecticut.

Joseph Schindler (J)

Department of Neurology, Yale University School of Medicine, New Haven, Connecticut.

Lauren Sansing (L)

Department of Neurology, Yale University School of Medicine, New Haven, Connecticut.

Charles Matouk (C)

Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut.

Jonathan Rothberg (J)

Department of Genetics, Yale University School of Medicine, New Haven, Connecticut.
Hyperfine Research Inc, Guilford, Connecticut.

Gordon Sze (G)

Department of Radiology, Yale University School of Medicine, New Haven, Connecticut.

Jonathan Siner (J)

Division of Pulmonology and Sleep Medicine, Department of Medicine, Yale University School of Medicine, New Haven, Connecticut.

Matthew S Rosen (MS)

Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown.

Serena Spudich (S)

Division of Neurology Infections & Global Neurology, Department of Neurology, Yale University School of Medicine, New Haven, Connecticut.

W Taylor Kimberly (WT)

Division of Neurocritical Care, Department of Neurology, Massachusetts General Hospital, Boston.

Classifications MeSH