Evidence map›Paper›PMID 40096549›Full record

ArticleMagnetic resonance in medicine2025

Magnetization transfer imaging using non-balanced SSFP at ultra-low field.

Sharada Balaji, Neale Wiley, Adam Dvorak, Francesco Padormo, Rui P A G Teixiera, Megan E Poorman, Alex MacKay, Tobias Wood, Adam R Cassidy, Anthony Traboulsee and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance in medicine, 2025. 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. Article
  4. Review
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

16 authors.

Sharada BalajiDepartment of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0002-6232-8488
Neale WileyDepartment of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.
Adam DvorakDepartment of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0001-6107-5610
Francesco PadormoHyperfine Inc., Guilford, Connecticut, USA.
Rui P A G TeixieraHyperfine Inc., Guilford, Connecticut, USA.
Megan E PoormanHyperfine Inc., Guilford, Connecticut, USA.
Alex MacKayDepartment of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.
Tobias WoodDepartment of Neuroimaging, King's College London, London, UK.ORCID 0000-0001-7640-5520
Adam R CassidyDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA.
Anthony TraboulseeMedicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada.
David K B LiDepartment of Radiology, University of British Columbia, Vancouver, British Columbia, Canada.
Irene VavasourDepartment of Radiology, University of British Columbia, Vancouver, British Columbia, Canada.
Steven C R WilliamsDepartment of Neuroimaging, King's College London, London, UK.
Sean C L DeoniMaternal, Newborn, and Child Nutrition & Health, Bill & Melinda Gates Foundation, Seattle, Washington, USA.
Emil LjungbergDepartment of Neuroimaging, King's College London, London, UK.ORCID 0000-0003-1456-7967
Shannon H KolindDepartment of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.

Funding

Bill and Melinda Gates Foundation, UNITY ProjectBrain CanadaNatural Sciences and Engineering Research Council of Canada Canada Graduate Scholarship- DoctoralNIHR Maudsley Biomedical Research Centre NIHR203318
6 · The paper itself

Abstract

purposeUltra-low field MRI scanners have the potential to improve health care delivery, both through improved access in areas where there are few MRI scanners and allowing more frequent monitoring of disease progression and treatment response. This may be particularly true in white matter disorders, including leukodystrophies and multiple sclerosis, in which frequent myelin-sensitive imaging, such as magnetization transfer (MT) imaging, might improve clinical care and patient outcomes.

methodsWe implemented an on-resonance approach to MT imaging on a commercial point-of-care 64 mT scanner using a non-balanced steady-state free precession sequence. Phantom and in vivo experiments were used to evaluate and optimize the sequence sensitivity and reproducibility, and to demonstrate in vivo performance and inter-site reproducibility.

resultsFrom phantom experiments, T

conclusionAn on-resonance MT imaging approach was developed at 64 mT that can be performed in as little as 4 min. A semi-quantitative myelin-sensitive imaging biomarker at this field strength is available for assessing both myelination and demyelination.

Indexed as

BrainImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMultiple SclerosisWhite MatterAdultAlgorithmsFemaleHumansImage EnhancementMalePhantoms, ImagingReproducibility of ResultsSensitivity and Specificitymagnetization transfer ratiomultiple sclerosismyelin imagingportable point‐of‐care MRIultralow‐field MRI

Identifiers

PMID40096549
PMCPMC12137778

What OpenQuestion holds

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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.