Advanced brain imaging is a cornerstone of neurological diagnosis.
Conventional magnetic resonance imaging (MRI) systems operate through high-strength magnetic fields (1.5-3 T) that require strict, access-controlled environments, rigid safety precautions, and highly trained technicians.1
As a result, the traditional neuroimaging workflow requires patient transport to dedicated hospital imaging suites.
This operational paradigm has been necessary to ensure patient safety in and around high-field scanners but has rendered MRI largely inaccessible in the setting of critical illness.2-6
In patients admitted to an intensive care unit, there are numerous risks involved in transportation to imaging suites, including compromise of monitoring equipment, venous access limitations, and risk of endotracheal tube displacement.3,4
Furthermore, in patients who are critically ill with infectious diseases such as coronavirus disease 2019 (COVID-19), the highly contagious nature of the disease can impose considerable limitations on transportation to and decontamination of traditional imaging suites.
Recent advances in MRI technology have allowed for data acquisition at low magnetic field strength.1
The MRI scanners operating at low field strength allow for open geometry designs that can ease patient handling and positioning and are compatible with nearby ferromagnetic materials, enabling scanning outside of the controlled access environment of an MRI suite.1
We recently developed and deployed a novel bedside neuroimaging solution, for which this is our first clinical report. We investigated patients with neurological injury or alteration using a low-field (0.064-T) portable MRI device at the bedside in neuroscience intensive care units (ICUs) and COVID-19 ICUs.
This point-of-care (POC) MRI used no cryogens and plugged into a single, 110-V, 15-A standard power outlet.
The device dimensions rendered it maneuverable within the confines of an ICU patient room (Figure 1). A self-contained motor and driving capability facilitated the deployment of a single device across the institution.
The 5-Gauss (0.0005-T) safety perimeter had a radius of 79 cm from the center of the magnet. This work aimed to demonstrate the potential role of low-field, portable MRI to obtain bedside neuroimaging in an ICU setting.
Study Setting and Participants
The study was performed at Yale New Haven Hospital in New Haven, Connecticut, from October 2019 through June 2020 under an institutional review board research protocol approved by Yale Human Research Protection Program.
For patients admitted to the neuroscience ICU, the POC MRI device operated with an investigational device exemption, and patient informed consent was obtained under the approved institutional review board protocol.
For patients admitted to the COVID-19 ICUs, the MRI device received US Food and Drug Administration clearance during the COVID-19 public health emergency,7 and images were acquired as part of clinical care.
As a result, patient informed consent was obtained for the first 6 patients with COVID-19 under the approved protocol but waived for the subsequent 14 patients with COVID-19.
Patients were screened for eligibility based on admission diagnosis and clinical examination. For patients presenting to the neuroscience ICU, a diagnosis of an acute brain injury, as determined by a clinical radiographic reading, constituted study eligibility.
For patients presenting to the COVID-19 ICUs, any neurological alteration appreciated during clinical examination (eg, altered mental status or acute brain injury, if the patient received conventional neuroimaging) constituted eligibility for study inclusion.
Exclusion criteria included a patient body size exceeding the scanner’s 30-cm vertical opening or the presence of at least 1 of the following contraindications to conventional MRI evaluation: cardiac pacemakers or defibrillators, intravenous medication pumps, insulin pumps, deep brain stimulators, vagus nerve stimulators, cochlear implants, pregnancy, ongoing extracorporeal membrane oxygenation treatment, and cardiorespiratory instability.
Diagnosis of COVID-19 was determined by a positive severe acute respiratory syndrome coronavirus 2 polymerase chain reaction nasopharyngeal swab result.
Because of the low field strength, ferromagnetic equipment in the hospital room was not removed, including vital sign monitors, intravenous infusion pumps, ventilators, compressed gas tanks, and dialysis machines.
A hospital-approved disinfectant was used to clean the device following each scan. For patients who did not receive conventional neuroimaging, POC MRI examinations were interpreted by a board-certified neuroradiologist (G.S.). Conventional scans were interpreted by staff neuroradiologists.
Hyperfine’s Lucy point-of-care MRI is intended for scanning the head, neck, as well as the extremities, in just about any clinical setting. This can be of particular use in emergency rooms, intensive care units, and in facilities that currently don’t have access to a conventional clinical MRI.
It’s not exactly light, weighing in at 1,400 lbs (635 Kg), but it’s an order of magnitude lighter than a conventional MRI. A motorized wheel array on the bottom makes it quite manageable to drive the scanner from room to room without actually having to push it manually.
The Lucy uses low-field magnets that are safe around other equipment and it runs from a standard wall power outlet, making it easy to use in almost any hospital room.
The results of a clinical study using the new MRI will be presented this week at the American Stroke Association’s International Stroke Conference 2020, but the American Heart Association already provides some details.
The POC MRI examinations were performed at the bedside using a prototype 0.064-T MRI system (with Mk 1.2 RC6.3-7.2 software and Mk 1.6 POC MRI RC8.0.2 software [Hyperfine Research Inc]). Examinations were acquired using an 8-channel head coil.
The POC MRI used a biplanar, 3-axis gradient system with a peak amplitude of 26 mT/m (on the z-axis) and 25 mT/m (on the x-axis and y-axis). Scan parameters were controlled using a computer interface (iPad Pro, third generation; Apple). Available pulse sequences included T1-weighted (T1W), T2-weighted (T2W), fluid-attenuated inversion recovery (FLAIR), and diffusion-weighted imaging (DWI) with apparent diffusion coefficient (ADC) mapping.
Examinations were acquired in the axial, sagittal, and coronal planes. The following pulse 3-dimensional sequences were used: T1W fast spin echo (FSE) (repetition time [TR], 1500 milliseconds; time to echo [TE], 6 milliseconds; inversion time [TI], 300 milliseconds; 1.5 × 1.5 × 5-mm resolution; 36 slices); T2W FSE (TR, 2200 milliseconds; TE, 253 milliseconds; 1.5 × 1.5 × 5-mm resolution; 36 slices); T2W FLAIR FSE (TR, 4000 milliseconds; TE, 228 milliseconds; TI, 1400 milliseconds; 1.6 × 1.6 × 5-mm resolution; 36 slices); and DWI FSE (TR, 1000 milliseconds; TE, 100 milliseconds; b = 800 seconds/mm2; 2.4 × 2.4 × 6-mm resolution; 30 slices).
The POC MRI examinations were available on a cloud-based imaging viewer immediately after scan completion (Hyperfine Purview). Patient demographics, clinical course characteristics, and available conventional neuroimaging were obtained from the electronic medical records. The κ statistic was computed using R software version 3.3.6 (R Foundation for Statistical Computing), with statistical significance set at P < .05.
Characteristics of Patient Cohort With Critical Illness
We obtained POC MRI examinations for 50 patients (16 women [32%]; mean [SD] age, 59  years [range, 20-89 years]) (Table). 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 infection with altered mental status (n = 20).
Examinations were acquired at a median of 5 (range, 0-37) days since ICU admission. Three patients were imaged at 2 serial points, and 1 patient was imaged at 4 serial points. There were no adverse events or complications during deployment of the POC MRI or scanning in an ICU room.
For patients with COVID-19 (n = 20), the median Richmond Agitation Sedation Scale score at time of scan was −3 (range, −5 to 0). Fifteen patients were sedated and 4 were paralyzed at the time of scanning. For the duration of the POC MRI examination, 18 patients were mechanically ventilated (14 with endotracheal intubation and 4 with tracheostomy), and 1 patient required high-flow oxygen. Three patients were receiving continuous kidney replacement therapy.
Diagnostic-grade T1W, T2W, T2 FLAIR, and DWI sequences were obtained for 37, 48, 45, and 32 patients, respectively. The mean examination time was 35 minutes and 40 seconds. Mean axial sequence scanning times were as follows: T1W, 4 minutes and 54 seconds; T2W, 7 minutes and 3 seconds; FLAIR, 9 minutes and 31 seconds; and DWI with b set to 0 seconds/mm2 to calculate an ADC map, 9 minutes and 4 seconds.
In patients without COVID-19 (n = 30), neuroimaging findings were detected in 29 cases (97%). Twenty-nine patients (97%) also received conventional imaging (computed tomography, 6 patients; MRI, 23 patients). All POC MRI findings were in agreement with available conventional radiology reports, except that 1 patient had a diffuse subarachnoid hemorrhage that was not observed on POC MRI (κ = 0.65; P < .001).
Figure 2A shows POC MRI scans of a patient presenting to the neuroscience ICU with a left occipital hemorrhage, in agreement with a conventional 1.5-T MRI. Figure 2B illustrates a previously undetected, small-volume infarction in a patient with cardiac arrest who was too unstable to be transported to conventional imaging.
For patients with COVID-19 (n = 20), neuroimaging findings were observed in 8 patients (40%): an intracranial hemorrhage was found in 1 patient, cerebral infarction in 3, diffuse cerebral edema in 1, and leukoencephalopathy in 3. Eleven patients (55%) received conventional neuroimaging (computed tomography, 8; MRI, 3).
Of the patients who received conventional imaging, all POC MRI findings were in agreement with conventional radiology reports. Figure 2C shows the images from a patient who was paralyzed and sedated and had a previously undetected, large hemispheric infarction of the left middle cerebral artery territory.
Conventional noncontrast computed tomography (NCCT) following bedside MRI examination confirmed the POC MRI finding. Figure 2D illustrates an example of a smaller-volume infarction, further demonstrating the capability of POC MRI to detect both small and large ischemic strokes; this infarction was confirmed by available conventional NCCT. Figure 2E shows the images from a patient with no intracranial abnormalities, in agreement with conventional NCCT findings.
We report advanced neuroimaging in ICUs using a novel approach for the bedside assessment of intracranial pathology. These findings demonstrate for the first time (to our knowledge) the deployment of a portable MRI to the bedside of patients with critical illness.
In acute neurological settings, it is well established that noninvasive, time-sensitive neuroimaging is the cornerstone of triage and treatment pathways. For ICUs, access to MRI is limited, and the risks of transporting patients with critical illness are well documented.2-6
Risks to inpatient populations and clinicians are potentially increased when considering infection control issues, as illustrated by the COVID-19 pandemic. This report helps fill an important gap in the topic of obtaining neuroimaging for patients with critical illness and potential neuropathology.
Recent advances in low–magnetic field MRI have made the current solution possible, whereby an MRI scanner can safely enter the bedside clinical environment. Operation at 64 mT has enabling advantages, including compatibility with nearby ferromagnetic materials.1 Additionally, the scanner uses a permanent magnet that obviates the need for any cooling.
The low power consumption of the scanner (<1650 W) means that the scanner can operate directly from the standard electrical power available in any room.
Neurological complications and neurotropism have been reported in patients with COVID-19, including headache, altered mental status, acute cerebrovascular disease, encephalopathy, leptomeningeal enhancement, and seizures.8-10
However, reports on neurologic complications in patients who are critically ill with COVID-19 have been hampered by a paucity of neuroimaging. Patients with severe COVID-19 experience multiple organ injuries,11 often requiring the sustained use of mechanical ventilation and dialysis with continuous kidney replacement therapy.12
These patients with severe illness are most in need of MRIs because of the increased risk of neurological sequalae and frequent sedation or paralysis for ventilator management, the second of which prevents routine assessment of neurological status.12
We obtained neuroimaging in 20 patients with COVID-19 requiring ventilation, 3 of whom also required continuous kidney replacement therapy, and observed neurological findings in 8 of 20 patients (40%). This experience illustrates an example of how deploying bedside MRI into complex clinical settings can permit neuroimaging in an otherwise restricted setting.
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5.Peace K, Maloney-Wilensky E, Frangos S, et al. Portable head CT scan and its effect on intracranial pressure, cerebral perfusion pressure, and brain oxygen. J Neurosurg. 2011;114(5):1479-1484. doi:10.3171/2010.11.JNS091148PubMedGoogle ScholarCrossref
7.US Food and Drug Administration. Enforcement policy for imaging systems during the coronavirus disease 2019 (COVID-19) public health emergency: guidance for industry and Food and Drug Administration staff. Published April 2020. Accessed July 30, 2020. https://www.fda.gov/media/137290/download
8.Mao L, Jin H, Wang M, et al. Neurologic manifestations of hospitalized patients with coronavirus disease 2019 in Wuhan, China. JAMA Neurol. 2020;77(6):683-690. doi:10.1001/jamaneurol.2020.1127
10.Kandemirli SG, Dogan L, Sarikaya ZT, et al. Brain MRI findings in patients in the intensive care unit with COVID-19 infection. Radiology. 2020;201697. doi:10.1148/radiol.2020201697PubMedGoogle Scholar