Evidence map›Paper›PMID 36120962›Full record

ReviewJournal of magnetic resonance imaging : JMRI2023

Low-field MRI: Clinical promise and challenges.

Thomas Campbell Arnold, Colbey W Freeman, Brian Litt, Joel M Stein

Abstract readReview
In one paragraph

Review in Journal of magnetic resonance imaging : JMRI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 171 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
171citing papers in PubMed, 2 pooled it
–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

171 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  7. A Standardized Technique for Ultrasound-MRI Fusion Imaging of the Carotid Artery for Vascular Assessment.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2026
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  10. Hyperpolarization of PyridineAngewandte Chemie (International ed. in English) · 2026
    Article
  11. Review
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111 more citing papers are in PubMed but not listed here.

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

4 authors.

Thomas Campbell ArnoldDepartment of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0001-8226-8497
Colbey W FreemanDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Brian LittCenter for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Joel M SteinCenter for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-0741-1780

Funding

Ghost in the Machine: Melding Brain, Computer and BehaviorDP1NS122038 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI LITT, BRIAN · 2020 to 2024
$5.7M
Training Program in Neuroengineering and MedicineT32NS091006 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Brian Litt · 2015 to 2026
$4.1M
Training Program in Biomedical Imaging and Information SciencesT32EB009384 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI GEE, JAMES C, IVES, ZACHARY · 2009 to 2023
$4.0M
Virtual Resection to Treat EpilepsyR01NS099348 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI BASSETT, DANIELLE SMITH, LITT, BRIAN · 2016 to 2019
$2.3M
Virtual Resection to Treat EpilepsyR56NS099348 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI BASSETT, DANIELLE SMITH, LITT, BRIAN · 2021 to 2021
$552k
Howard Hughes Medical InstituteNIBIB NIH HHS 5T32EB009384NIBIB NIH HHS T32 EB009384NINDS NIH HHS DP1 NS122038NINDS NIH HHS DP1-NS122038NINDS NIH HHS R01 NS099348NINDS NIH HHS R56 NS099348NINDS NIH HHS R56-NS099348NINDS NIH HHS T32 NS091006NINDS NIH HHS T32-NS091006
6 · The paper itself

Abstract

Modern MRI scanners have trended toward higher field strengths to maximize signal and resolution while minimizing scan time. However, high-field devices remain expensive to install and operate, making them scarce outside of high-income countries and major population centers. Low-field strength scanners have drawn renewed academic, industry, and philanthropic interest due to advantages that could dramatically increase imaging access, including lower cost and portability. Nevertheless, low-field MRI still faces inherent limitations in image quality that come with decreased signal. In this article, we review advantages and disadvantages of low-field MRI scanners, describe hardware and software innovations that accentuate advantages and mitigate disadvantages, and consider clinical applications for a new generation of low-field devices. In our review, we explore how these devices are being or could be used for high acuity brain imaging, outpatient neuroimaging, MRI-guided procedures, pediatric imaging, and musculoskeletal imaging. Challenges for their successful clinical translation include selecting and validating appropriate use cases, integrating with standards of care in high resource settings, expanding options with actionable information in low resource settings, and facilitating health care providers and clinical practice in new ways. By embracing both the promise and challenges of low-field MRI, clinicians and researchers have an opportunity to transform medical care for patients around the world. LEVEL OF EVIDENCE: 5 TECHNICAL EFFICACY: Stage 6.

Indexed as

BrainMagnetic Resonance ImagingChildHumansSoftwareclinical low-field MRIhealthcare costlow-field MRIMRI accessibilitypoint-of-care MRIportable MRI

Identifiers

PMID36120962
PMCPMC9771987

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.