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Measuring Brain Health Using Low-Field Portable MRI

Measuring Brain Health Using Low-Field Portable MRI

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06533631
Acronym
MR SCREEN
Enrollment
100
Registered
2024-08-01
Start date
2025-02-05
Completion date
2026-11-01
Last updated
2026-01-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

White Matter Hyperintensity

Brief summary

The purpose of this study is to develop a new grading scale and utilize automated segmentation for measurement of White Matter Hyperintensity (WMH) volume using a low field MRI.

Detailed description

This study will take place in one visit, if feasible. This visit will take approximately 2 hours. (Alternatively, the visit can be split over two visits if the subject cannot tolerate two consecutive scans. The pMRI and 3T MRI can occur up to one month apart.) The purpose of this study is to create both a qualitative lowfield WMH scale that can be used widely and a machine learning enabled quantitative measurement of WMH for more sophisticated applications. To ensure the reliability of these WMH measurement systems, participants will receive both a pMRI and high-field 3T MRI at a single study visit for the purpose of comparing WMH measurements against a gold standard (3T MRI). Using the Delphi method, an expert panel of pMRI researchers will develop the low-field WMH grading scale, iteratively refine it, and validate it within this cohort. Parallel to this, advanced machine learning methodologies will be utilized in this cohort, allowing for precise quantification of WMH volume on pMRI.

Interventions

DEVICEPortable low-field MRI (pMRI)

Participants will receive a pMRI during the study visit.

DEVICE3T MRI

Gold standard MRI for WMH. Participants will receive a 3T MRI during the study visit.

Sponsors

Yale University
Lead SponsorOTHER
National Institute of Neurological Disorders and Stroke (NINDS)
CollaboratorNIH

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
50 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* One vascular risk factor, from the following: 1. Hypertension (defined as taking an antihypertensive medication) 2. Hyperlipidemia (defined as taking a statin or PCSK9 inhibitor) 3. Diabetes (defined as taking a medication to prevent hyperglycemia)

Exclusion criteria

* 1\. History of stroke * History of dementia or other cognitive impairment * Pacemaker or other MRI contraindications according to the American College of Radiology guidelines

Design outcomes

Primary

MeasureTime frameDescription
WMH graded on a low-field WMH scale2 hoursEach pMRI scan will be evaluated by two readers experienced in the adjudication of WMH and the high-field 3T MRI will be adjudicated by a board certified neuroradiologist. WMH will be graded on a low-field WMH scale as minimal, moderate, or severe. The low-field WMH scale will be derived by an expert panel consisting of the study investigators and two more neurologists, a neuroradiologist, and neuropsychologist. Investigators will employ the Delphi method to harness the collective expertise of this panel in developing the novel grading scale.

Secondary

MeasureTime frameDescription
WMH lesion load (in mm3)2 hoursWMH lesion load will be assessed both global and per white matter region of interest (ROI). These ROIs are defined by FreeSurfer, which maps cortical parcels into corresponding WM segments using geodesic distances. Using the high-field MRI as ground truth, investigators will use two metrics to evaluate the WMH in pMRI. The first, and main validation criterion, is the Spearman correlation coefficient between lesion loads (both global and per ROI) estimated from pMRI (by the neural network) and from high-field MRI (obtained via manual delineation). And second, the Dice score between the predicted WMH mask in pMRI and the corresponding ground truth from the high-field MRI.

Countries

United States

Contacts

CONTACTAdam H de Havenon, MD
adam.dehavenon@yale.edu203-785-4085
PRINCIPAL_INVESTIGATORAdam H de Havenon, MD

Yale University

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026