Written by: Ian P JohnsonHailey BriggerJoel SmithEmma PeasleyAlison ChampagneLauren LittigDheeraj LalwaniGordon SzeSeyedmehdi PayabvashBasmah SafdarGail D'OnofrioCharles WiraJuan Eugenio IglesiasMatthew S RosenAnnabel Sorby-AdamsW Taylor KimberlyKevin N ShethAdam de Havenon
BACKGROUND AND PURPOSE: Portable MRI (pMRI) has emerged as a cost-effective and accessible tool for the identification of white matter hyperintensities (WMH), an independent risk factor for stroke and dementia. Our objective was to confirm that pMRI can produce accurate WMH measurements and to develop and validate a risk model to predict WMH on pMRI for the purpose of identifying patients who may benefit from pMRI screening.MATERIALS AND METHODS: The development (n = 143) and validation (n = 127) cohorts included patients without acute neurologic pathology who received a pMRI at a tertiary care hospital between May 2020 and July 2024. The development cohort included pMRIs collected as part of a prospective WMH screening pilot program in the emergency department. The validation cohort was a retrospective collection of pMRIs obtained for separate research purposes. Conventional MRIs (cMRIs) in the validation cohort obtained within 3 months of pMRIs were used for additional validation and device agreement. The primary outcome was WMH burden greater than 10 mL, assessed via an axial T2-FLAIR sequence acquired on a 0.064T pMRI and quantified by using a WMH segmentation software developed to process sequences of any resolution. We used backwards selection to screen candidate variables and report the area under the curve of the resulting model.RESULTS: The final model, which included age, systolic blood pressure >140, atrial fibrillation, and tobacco use, achieved an area under the curve (AUC) of 0.83 (95% CI, 0.75-0.90) in the development cohort (n = 143, 62.4 ± 12.6 years, 44% female, 36% nonwhite race) and 0.85 (95% CI, 0.77-0.92) in the validation cohort (n = 127, 65.2 ± 16.8 years, 51% female, 34% nonwhite race), with similar results by using WMH measurements derived from cMRI (n = 120, P = .98, AUC = 0.86, 95% CI, 0.77-0.93). Additionally, we confirmed agreement in WMH volumes between pMRI and cMRI (n = 120, r = 0.93, 95% CI, 0.90-0.95, P < .001).CONCLUSIONS: The WMH risk score demonstrated accurate performance and reproducibility across cohorts, supporting its potential as a screening tool for identifying patients at risk of moderate WMH burden. Appropriately targeted pMRI screening in high-risk individuals could allow providers and patients to proactively manage vascular risk factors and improve neurologic outcomes.
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Dr. Gail Donofrio
Emergency Medicine · General Emergency MedicineYale Universitygail
