Evidence map›Paper›PMID 34783391›Full record

ArticleMagnetic resonance in medicine2022

Self-gated 3D stack-of-spirals UTE pulmonary imaging at 0.55T.

Ahsan Javed, Rajiv Ramasawmy, Kendall O'Brien, Christine Mancini, Pan Su, Waqas Majeed, Thomas Benkert, Himanshu Bhat, Anthony F Suffredini, Ashkan Malayeri and 1 more

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

24 citing papers in PubMed, 37 citations in OpenAlex.

  1. Trial
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  10. Characterizing extravascular lung water-A dual-contrast agent extracellular volume approach by cardiovascular magnetic resonance.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025
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  11. Review
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  13. Cardiac MRI at Low Field Strengths.Journal of magnetic resonance imaging : JMRI · 2024
    Review
  14. Review
  15. [Research on a portable shielding-free ultra-low field magnetic resonance imaging system].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023
    Article
  16. Dynamic lung water MRI during exercise stress.Magnetic resonance in medicine · 2023
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  17. Low-field MRI: A report on the 2022 ISMRM workshop.Magnetic resonance in medicine · 2023
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 2 countries.

Ahsan JavedCardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0003-1311-1247
Rajiv RamasawmyCardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
Kendall O'BrienCardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
Christine ManciniCardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
Pan SuSiemens Medical Solutions USA Inc., Malvern, Pennsylvania, USA.
Waqas MajeedSiemens Medical Solutions USA Inc., Malvern, Pennsylvania, USA.
Thomas BenkertSiemens Healthcare GmbH, Erlangen, Germany.
Himanshu BhatSiemens Medical Solutions USA Inc., Malvern, Pennsylvania, USA.
Anthony F SuffrediniCritical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.
Ashkan MalayeriDepartment of Radiology and Imaging Sciences, Clinical Center, Department of Health and Human Services, National Institutes of Health, Bethesda, Maryland, USA.
Adrienne E Campbell-WashburnCardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0002-7169-5693
National Institutes of Health · USNational Institutes of Health Clinical Center · USSiemens Healthineers (Germany) · DE

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
Innovative Technology for MRI Guided ProceduresZIAHL006213 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI CAMPBELL-WASHBURN, ADRIENNE · 2016 to 2025
$5.4M
Intramural NIH HHS ZIA HL006257NHLBI NIH HHS Z01-HL006257
6 · The paper itself

Abstract

purposeTo develop an isotropic high-resolution stack-of-spirals UTE sequence for pulmonary imaging at 0.55 Tesla by leveraging a combination of robust respiratory-binning, trajectory correction, and concomitant-field corrections.

methodsA stack-of-spirals golden-angle UTE sequence was used to continuously acquire data for 15.5 minutes. The data was binned to a stable respiratory phase based on superoinferior readout self-navigator signals. Corrections for trajectory errors and concomitant field artifacts, along with image reconstruction with conjugate gradient SENSE, were performed inline within the Gadgetron framework. Finally, data were retrospectively reconstructed to simulate scan times of 5, 8.5, and 12 minutes. Image quality was assessed using signal-to-noise, image sharpness, and qualitative reader scores. The technique was evaluated in healthy volunteers, patients with coronavirus disease 2019 infection, and patients with lung nodules.

resultsThe technique provided diagnostic quality images with parenchymal lung SNR of 3.18 ± 0.0.60, 4.57 ± 0.87, 5.45 ± 1.02, and 5.89 ± 1.28 for scan times of 5, 8.5, 12, and 15.5 minutes, respectively. The respiratory binning technique resulted in significantly sharper images (p < 0.001) as measured with relative maximum derivative at the diaphragm. Concomitant field corrections visibly improved sharpness of anatomical structures away from iso-center. The image quality was maintained with a slight loss in SNR for simulated scan times down to 8.5 minutes. Inline image reconstruction and artifact correction were achieved in <5 minutes.

conclusionThe proposed pulmonary imaging technique combined efficient stack-of-spirals imaging with robust respiratory binning, concomitant field correction, and trajectory correction to generate diagnostic quality images with 1.75 mm isotropic resolution in 8.5 minutes on a high-performance 0.55 Tesla system.

Indexed as

COVID-19Imaging, Three-DimensionalArtifactsHumansLungMagnetic Resonance ImagingRetrospective StudiesSARS-CoV-2free-breathinglow-field MRIpulmonary imagingself-gatingstack-of-spirals

Identifiers

PMID34783391
PMCPMC8865631
OpenAlexW3211526334

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.