Evidence map›Paper›PMID 42478367›Full record

ReviewStroke2026

Role of Low-Field MRI in Acute Stroke.

Annabel Sorby-Adams, Nandor K Pinter, Keith W Muir, Kathryn E Keenan, Juan Eugenio Iglesias, Matthew S Rosen, Kevin N Sheth, Joshua N Goldstein, W Taylor Kimberly

Abstract readReview
In one paragraph

Review in Stroke, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Annabel Sorby-AdamsDepartment of Neurology and the Center for Genomic Medicine (A.S.-A., W.T.K.), Mass General Brigham and Harvard Medical School, Boston.ORCID 0000-0003-1648-3898
Nandor K PinterDepartment of Radiology (N.K.P.), Jacobs School of Medicine & Biomedical Sciences, University of Buffalo, NY.ORCID 0000-0002-7714-143X
Keith W MuirSchool of Psychology and Neuroscience, University of Glasgow, United Kingdom (K.W.M.).ORCID 0000-0001-9535-022X
Kathryn E KeenanNational Institute of Standards and Technology, Boulder, CO (K.E.K.).ORCID 0000-0001-9070-5255
Juan Eugenio IglesiasA.A. Martinos Center for Biomedical Imaging, Department of Radiology (J.E.I., M.S.R.), Mass General Brigham and Harvard Medical School, Boston.
Matthew S RosenA.A. Martinos Center for Biomedical Imaging, Department of Radiology (J.E.I., M.S.R.), Mass General Brigham and Harvard Medical School, Boston.ORCID 0000-0002-7194-002X
Kevin N ShethDepartment of Neurology, Yale Center for Brain & Mind Health, Yale School of Medicine, New Haven, CT (K.N.S.).ORCID 0000-0003-2003-5473
Joshua N GoldsteinDepartment of Emergency Medicine (J.N.G.), Mass General Brigham and Harvard Medical School, Boston.ORCID 0000-0002-6406-1828
W Taylor KimberlyDepartment of Neurology and the Center for Genomic Medicine (A.S.-A., W.T.K.), Mass General Brigham and Harvard Medical School, Boston.ORCID 0000-0002-2519-8530

Funding

Portable, Low Field Brain Magnetic Resonance Imaging (MRI) for Acute StrokeR01EB031114 · NIBIB · YALE UNIVERSITY · PI William Taylor Kimberly, Matthew Scot Rosen · 2022 to 2026
$3.5M
NIBIB NIH HHS R01 EB031114
6 · The paper itself

Abstract

Portable, low-field (LF) magnetic resonance imaging (MRI) is emerging as a clinically relevant adjunct in acute stroke care, enabling MRI in environments where conventional neuroimaging access is delayed, unavailable, or impractical. Advances in permanent magnet design, compact gradient and radiofrequency hardware, and the use of contemporary reconstruction methods have improved LF image quality and operational feasibility, supporting deployment at the point-of-care in emergency departments, intensive care units, and resource-limited settings. This review summarizes the evolving role of LF-MRI for acute stroke. LF sequence principles most relevant to stroke evaluation are summarized, focusing on how constraints in signal-to-noise ratio, achievable diffusion weighting, acquisition time, and diffusion direction sampling at LF influence lesion conspicuity and the reliability of quantification. The current clinical evidence base is then reviewed, including the role of LF-MRI in supporting stroke-type classification and tissue confirmation, in wake-up and unknown-onset stroke for tissue-based triage, and in posttherapeutic settings to enable serial assessment after thrombolysis or thrombectomy. Practical implementation considerations emphasize use case-driven deployment that preserves time-critical computed tomography and angiography pathways and clearly defines when LF-MRI should be used as an adjunct rather than a substitute for established initial imaging. Future directions include pragmatic workflow studies to determine where LF-MRI changes management, continued advances in hardware and pulse sequence development, and careful application of artificial intelligence for reconstruction and enhancement with task-specific validation in acute stroke.

Indexed as

Magnetic Resonance ImagingStrokeHumansNeuroimagingartificial intelligencemagnetic resonance imagingneuroimagingstrokethrombectomy

Identifiers

PMID42478367
PMCPMC13390788

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.