Identification of White Matter Hyperintensities in Routine Emergency Department Visits Using Portable Bedside Magnetic Resonance Imaging

Author:

de Havenon Adam12ORCID,Parasuram Nethra R.1,Crawford Anna L.1,Mazurek Mercy H.1ORCID,Chavva Isha R.1,Yadlapalli Vineetha1ORCID,Iglesias Juan E.345,Rosen Matthew S.3ORCID,Falcone Guido J.1ORCID,Payabvash Seyedmehdi26ORCID,Sze Gordon6,Sharma Richa12ORCID,Schiff Steven J.7ORCID,Safdar Basmah8ORCID,Wira Charles8ORCID,Kimberly William T.3ORCID,Sheth Kevin N.12ORCID

Affiliation:

1. Department of Neurology Yale University School of Medicine New Haven CT USA

2. Center for Brain and Mind Health Yale University School of Medicine New Haven CT USA

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

4. Computer Science and Artificial Intelligence Lab Massachusetts Institute of Technology Cambridge MA USA

5. Center for Biomedical Imaging Massachusetts General Hospital and Harvard Medical School Department of Physics, Harvard University Boston MA USA

6. Department of Radiology Yale University School of Medicine New Haven CO USA

7. Department of Neurosurgery Yale University School of Medicine New Haven CO USA

8. Department of Emergency Medicine Yale University School of Medicine New Haven CO USA

Abstract

BackgroundWhite matter hyperintensity (WMH) on magnetic resonance imaging (MRI) of the brain is associated with vascular cognitive impairment, cardiovascular disease, and stroke. We hypothesized that portable magnetic resonance imaging (pMRI) could successfully identify WMHs and facilitate doing so in an unconventional setting.Methods and ResultsIn a retrospective cohort of patients with both a conventional 1.5 Tesla MRI and pMRI, we report Cohen's kappa (κ) to measure agreement for detection of moderate to severe WMH (Fazekas ≥2). In a subsequent prospective observational study, we enrolled adult patients with a vascular risk factor being evaluated in the emergency department for a nonstroke complaint and measured WMH using pMRI. In the retrospective cohort, we included 33 patients, identifying 16 (49.5%) with WMH on conventional MRI. Between 2 raters evaluating pMRI, the interrater agreement on WMH was strong (κ=0.81), and between 1 rater for conventional MRI and the 2 raters for pMRI, intermodality agreement was moderate (κ=0.66, 0.60). In the prospective cohort we enrolled 91 individuals (mean age, 62.6 years; 53.9% men; 73.6% with hypertension), of which 58.2% had WMHs on pMRI. Among 37 Black and Hispanic individuals, the Area Deprivation Index was higher (versus White, 51.8±12.9 versus 37.9±11.9;P<0.001). Among 81 individuals who did not have a standard‐of‐care MRI in the preceding year, we identified WMHs in 43 of 81 (53.1%).ConclusionsPortable, low‐field imaging could be useful for identifying moderate to severe WMHs. These preliminary results introduce a novel role for pMRI outside of acute care and the potential role for pMRI to reduce disparities in neuroimaging.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

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