Evidence map›Paper›PMID 34668604›Full record

ArticleJournal of magnetic resonance imaging : JMRI2022

Evaluation of Hepatic Iron Overload Using a Contemporary 0.55 T MRI System.

Adrienne E Campbell-Washburn, Christine Mancini, Anna Conrey, Lanelle Edwards, Sujata Shanbhag, John Wood, Hui Xue, Peter Kellman, W Patricia Bandettini, Swee Lay Thein

Open access · greenAbstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 27% of its field
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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Improved liver fat andMagnetic resonance in medicine · 2025
    Article
  4. Article
  5. Free-breathing MRI techniques for fat and RMagma (New York, N.Y.) · 2024
    Review
  6. Cardiac MRI at Low Field Strengths.Journal of magnetic resonance imaging : JMRI · 2024
    Review
  7. Review
  8. 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

10 authors at 2 institutions in 1 country.

Adrienne E Campbell-WashburnCardiovascular Branch, Division of Intramural Research, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Department of Health and Human Services, Bethesda, Maryland, USA.ORCID 0000-0002-7169-5693
Christine ManciniCardiovascular Branch, Division of Intramural Research, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Department of Health and Human Services, Bethesda, Maryland, USA.
Anna ConreySickle Cell Branch, Division of Intramural Research, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Department of Health and Human Services, Bethesda, Maryland, USA.
Lanelle EdwardsSystems Biology Center, Division of Intramural Research, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Department of Health and Human Services, Bethesda, Maryland, USA.
Sujata ShanbhagCardiovascular Branch, Division of Intramural Research, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Department of Health and Human Services, Bethesda, Maryland, USA.
John WoodDepartment of Cardiology, Children's Hospital Los Angeles, California, Los Angeles, USA.
Hui XueSystems Biology Center, Division of Intramural Research, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Department of Health and Human Services, Bethesda, Maryland, USA.
Peter KellmanSystems Biology Center, Division of Intramural Research, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Department of Health and Human Services, Bethesda, Maryland, USA.
W Patricia BandettiniCardiovascular Branch, Division of Intramural Research, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Department of Health and Human Services, Bethesda, Maryland, USA.
Swee Lay TheinSickle Cell Branch, Division of Intramural Research, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Department of Health and Human Services, Bethesda, Maryland, USA.
National Institutes of Health · USChildren's Hospital of Los Angeles · US

Funding

Development of high-performance low field MRI technology ZIAHL006257 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI CAMPBELL-WASHBURN, ADRIENNE · 2021 to 2025
$8.1M
Gadgetron Global Network and Intelligence Computing: Clinical Imaging Application Development and Software InfrastructureZIAHL006214 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI KELLMAN, PETER · 2016 to 2025
$7.3M
Intramural NIH HHS ZIA HL006214Intramural NIH HHS ZIA HL006257
6 · The paper itself

Abstract

backgroundMRI T2* and R2* mapping have gained clinical acceptance for noninvasive assessment of iron overload. Lower field MRI may offer increased measurement dynamic range in patients with high iron concentration and may potentially increase MRI accessibility, but it is compromised by lower signal-to-noise ratio that reduces measurement precision. PURPOSE: To characterize a high-performance 0.55 T MRI system for evaluating patients with liver iron overload. STUDY TYPE: Prospective. POPULATION: Forty patients with known or suspected iron overload (sickle cell anemia [n = 5], ß-thalassemia [n = 3], and hereditary spherocytosis [n = 2]) and a liver iron phantom. FIELD STRENGTH/SEQUENCE: A breath-held multiecho gradient echo sequence at 0.55 T and 1.5 T. ASSESSMENT: Patients were imaged with T2*/R2* mapping 0.55 T and 1.5 T within 24 hours, and 16 patients returned for follow-up exams within 6-16 months, resulting in 56 paired studies. Liver T2* and R2* measurements and standard deviations were compared between 0.55 T and 1.5 T and used to validate a predictive model between field strengths. The model was then used to classify iron overload at 0.55 T. STATISTICAL TESTS: Linear regression and Bland-Altman analysis were used for comparisons, and measurement precision was assessed using the coefficient of variation. A P-value < 0.05 was considered statistically significant.

resultsR2* was significantly lower at 0.55 T in our cohort (488 ± 449 s DATA

conclusionWe demonstrated that 0.55 T provides T2* and R2* maps that can be used for the assessment of liver iron overload in patients. EVIDENCE LEVEL: 2 TECHNICAL EFFICACY: Stage 2.

Indexed as

Iron OverloadHumansIronLiverMagnetic Resonance ImagingProspective StudiesIroniron overloadlow fieldMRIR2*T2*

Identifiers

PMID34668604
PMCPMC9018883
OpenAlexW3206690198

What OpenQuestion holds

Textmetadata
LicenceTDM
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.