Evidence map›Paper›PMID 38585353›Full record

ArticleFrontiers in neurology2024

Bridging the gap: improving correspondence between low-field and high-field magnetic resonance images in young people.

Rebecca Cooper, Rebecca A Hayes, Mary Corcoran, Kevin N Sheth, Thomas Campbell Arnold, Joel M Stein, David C Glahn, Maria Jalbrzikowski

Abstract read
In one paragraph

Article in Frontiers in neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  15. Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2024
    Article
  16. 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

8 authors.

Rebecca Cooper *Department of Psychiatry and Behavioral Sciences, Boston Children's Hospital, Boston, MA, United States.
Rebecca A Hayes *Department of Psychiatry and Behavioral Sciences, Boston Children's Hospital, Boston, MA, United States.
Mary CorcoranDepartment of Psychiatry and Behavioral Sciences, Boston Children's Hospital, Boston, MA, United States.
Kevin N ShethCenter for Brain and Mind Health, Yale School of Medicine, New Haven, CT, United States.
Thomas Campbell ArnoldCenter for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA, United States.
Joel M SteinCenter for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA, United States.
David C GlahnDepartment of Psychiatry and Behavioral Sciences, Boston Children's Hospital, Boston, MA, United States.
Maria JalbrzikowskiDepartment of Psychiatry and Behavioral Sciences, Boston Children's Hospital, Boston, MA, United States.

Funding

Genetic Analysis and Manipulation Core (GAEC)P50HD105351 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI Hisashi Umemori · 2021 to 2026
$9.4M
Predicting psychosis risk in youth using a novel structural neuroimaging score that measures deviation from normative development. Can we bring it to communities using portable, low-field MRI?R01MH129636 · NIMH · BOSTON CHILDREN'S HOSPITAL · PI MARIA JALBRZIKOWSKI · 2022 to 2026
$3.8M
NICHD NIH HHS P50 HD105351NIMH NIH HHS R01 MH129636
6 · The paper itself

Abstract

Background: Portable low-field-strength magnetic resonance imaging (MRI) systems represent a promising alternative to traditional high-field-strength systems with the potential to make MR technology available at scale in low-resource settings. However, lower image quality and resolution may limit the research and clinical potential of these devices. We tested two super-resolution methods to enhance image quality in a low-field MR system and compared their correspondence with images acquired from a high-field system in a sample of young people. Methods: T1- and T2-weighted structural MR images were obtained from a low-field (64mT) Hyperfine and high-field (3T) Siemens system in Results: Single pairs of T1- and T2-weighted images acquired at low field showed high correspondence to high-field-strength images for estimates of total intracranial volume, surface area cortical volume, subcortical volume, and total brain volume ( Conclusion: Applying super-resolution approaches to low-field imaging improves regional brain volume and surface area accuracy in young people. Finer-scale brain measurements, such as cortical thickness, remain challenging with the limited resolution of low-field systems.

Indexed as

low field MRImagnetic resonance imagingpediatric neuroimagingsuper-resolutionSynthSR

Identifiers

PMID38585353
PMCPMC10995930

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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.