Evidence map›Paper›PMID 41815314›Full record

ArticleStroke (Hoboken, N.J.)2026

Enhanced Detection of Acute Ischemic Stroke With Low-Field MRI.

Annabel Sorby-Adams, Nandor K Pinter, Amelia Demopoulos, John Kirsch, Vinay Jaikumar, Olivia K Nelson, Stephen Bacchi, Jennifer Guo, Blair A Parry, Hailey Brigger and 15 more

Abstract read
In one paragraph

Article in Stroke (Hoboken, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Portable Ultra-Low-Field MRI in Outpatient Neurology: An Examination of Clinical Performance and Patient Experience.Journal of neuroimaging : official journal of the American Society of Neuroimaging
    Article
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

25 authors.

Annabel Sorby-AdamsDepartment of Neurology and the Center for Genomic Medicine (A.S.-A., A.D., S.B., J.G., W.T.K.), Massachusetts General Hospital and Harvard Medical School, Boston.ORCID https://orcid.org/0000-0003-1648-3898
Nandor K PinterDepartment of Radiology (N.K.P.), Jacobs School of Medicine & Biomedical Sciences, State University of New York at Buffalo, NY.ORCID https://orcid.org/0000-0002-7714-143X
Amelia DemopoulosDepartment of Neurology and the Center for Genomic Medicine (A.S.-A., A.D., S.B., J.G., W.T.K.), Massachusetts General Hospital and Harvard Medical School, Boston.ORCID https://orcid.org/0009-0005-0222-6876
John KirschDepartment of Radiology, Athinoula A. Martinos Center for Biomedical Imaging (J.K., M.S.R., J.E.I.), Massachusetts General Hospital and Harvard Medical School, Boston.
Vinay JaikumarDepartment of Neurosurgery (N.K.P., V.J., A.S.), Jacobs School of Medicine & Biomedical Sciences, State University of New York at Buffalo, NY.ORCID https://orcid.org/0000-0002-6677-1858
Olivia K NelsonDepartment of Emergency Medicine (O.K.N., B.A.P., J.N.G.), Massachusetts General Hospital and Harvard Medical School, Boston.
Stephen BacchiDepartment of Neurology and the Center for Genomic Medicine (A.S.-A., A.D., S.B., J.G., W.T.K.), Massachusetts General Hospital and Harvard Medical School, Boston.
Jennifer GuoDepartment of Neurology and the Center for Genomic Medicine (A.S.-A., A.D., S.B., J.G., W.T.K.), Massachusetts General Hospital and Harvard Medical School, Boston.ORCID https://orcid.org/0009-0003-8438-2826
Blair A ParryDepartment of Emergency Medicine (O.K.N., B.A.P., J.N.G.), Massachusetts General Hospital and Harvard Medical School, Boston.ORCID https://orcid.org/0000-0002-6230-5286
Hailey BriggerDepartment of Neurology, Center for Brain & Mind Health, Yale New Haven Hospital and Yale School of Medicine, CT (H.B., I.J., A.d.H., K.N.S.).ORCID https://orcid.org/0009-0007-9075-7662
Ian JohnsonDepartment of Neurology, Center for Brain & Mind Health, Yale New Haven Hospital and Yale School of Medicine, CT (H.B., I.J., A.d.H., K.N.S.).ORCID https://orcid.org/0000-0002-0834-7194
Adam de HavenonDepartment of Neurology, Center for Brain & Mind Health, Yale New Haven Hospital and Yale School of Medicine, CT (H.B., I.J., A.d.H., K.N.S.).ORCID https://orcid.org/0000-0001-8178-8597
Gordon SzeDivision of Neuroradiology, Department of Radiology and Biomedical Imaging, Yale New Haven Hospital and Yale University School of Medicine, CT (G.S.).
Rafael O'HalloranHyperfine Incorporated, Guilford, CT (R.O.H., J.P.).
John PittsHyperfine Incorporated, Guilford, CT (R.O.H., J.P.).
Vivien H LeeDepartment of Neurology (V.H.L.), The Ohio State University Wexner Medical Center, Columbus.ORCID https://orcid.org/0000-0002-8615-198X
Keith W MuirSchool of Psychology and Neuroscience, University of Glasgow, United Kingdom (K.W.M.).ORCID https://orcid.org/0000-0001-9535-022X
Shahid M NimjeeDepartment of Neurological Surgery (S.M.N.), The Ohio State University Wexner Medical Center, Columbus.ORCID https://orcid.org/0000-0002-0317-8731
Adnan SiddiquiDepartment of Neurosurgery (N.K.P., V.J., A.S.), Jacobs School of Medicine & Biomedical Sciences, State University of New York at Buffalo, NY.ORCID https://orcid.org/0000-0002-9519-0059
Kathryn E KeenanNational Institute of Standards and Technology, Boulder, CO (K.E.K.).ORCID https://orcid.org/0000-0001-9070-5255
Matthew S RosenDepartment of Radiology, Athinoula A. Martinos Center for Biomedical Imaging (J.K., M.S.R., J.E.I.), Massachusetts General Hospital and Harvard Medical School, Boston.ORCID https://orcid.org/0000-0002-7194-002X
Juan Eugenio IglesiasDepartment of Radiology, Athinoula A. Martinos Center for Biomedical Imaging (J.K., M.S.R., J.E.I.), Massachusetts General Hospital and Harvard Medical School, Boston.
Kevin N ShethDepartment of Neurology, Center for Brain & Mind Health, Yale New Haven Hospital and Yale School of Medicine, CT (H.B., I.J., A.d.H., K.N.S.).ORCID https://orcid.org/0000-0003-2003-5473
Joshua N GoldsteinDepartment of Emergency Medicine (O.K.N., B.A.P., J.N.G.), Massachusetts General Hospital and Harvard Medical School, Boston.ORCID https://orcid.org/0000-0002-6406-1828
W Taylor KimberlyDepartment of Neurology and the Center for Genomic Medicine (A.S.-A., A.D., S.B., J.G., W.T.K.), Massachusetts General Hospital and Harvard Medical School, Boston.ORCID https://orcid.org/0000-0002-2519-8530

Funding

Functionally guided adult whole brain cell atlas in human and NHPUM1MH130981 · NIMH · ALLEN INSTITUTE · PI Ed Lein, Hongkui Zeng · 2022 to 2026
$91.9M
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 EB031114NIMH NIH HHS UM1 MH130981
6 · The paper itself

Abstract

backgroundPortable, low-field magnetic resonance imaging (MRI) has the potential to expand access to neuroimaging in environments where conventional MRI is limited. However, diffusion-weighted imaging at low magnetic field is challenged by a low signal-to-noise ratio and gradient strength, which may limit diagnostic confidence in acute ischemic stroke evaluation, particularly for very small strokes. In this study, we evaluated a combination of novel pulse sequences and low-field MRI hardware to enhance lesion detection.

methodsPatients with a suspected diagnosis of acute ischemic stroke were prospectively enrolled at 3 centers. Diffusion-weighted imaging was performed using a single-direction (SD) or a custom multi-direction (MD) sequence comprising 3 orthogonal directions. Imaging was acquired on 2 0.064 T hardware versions: a first-generation C-arm system (Swoop v1) and a next-generation H-arm system featuring optimized gradient amplifiers, form factor, and cooling system (Swoop v2). Diagnostic accuracy and the lower limit of lesion detection were calculated for both SD and MD images on each system compared with ground-truth MRI (1.5-3 T).

resultsA total of 95 patients (n=62 confirmed acute ischemic stroke; n=33 stroke mimics) were included. On SD images, agreement between assessors regarding lesion detection was

conclusionsImplementation of diffusion-weighted imaging optimization strategies on low-field MRI improves detection of very small strokes in a clinically feasible time frame.

Indexed as

ischemic strokemagnetic resonance imagingneuroimagingpatientssignal-to-noise ratio

Identifiers

PMID41815314
PMCPMC12959426

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Registered trials

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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.