Evidence map›Paper›PMID 27458992›Full record

ArticleJournal of magnetic resonance imaging : JMRI2017

Pulmonary MRI of neonates in the intensive care unit using 3D ultrashort echo time and a small footprint MRI system.

Andrew D Hahn, Nara S Higano, Laura L Walkup, Robert P Thomen, Xuefeng Cao, Stephanie L Merhar, Jean A Tkach, Jason C Woods, Sean B Fain

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
5.7field-weighted citation impact, top 4% 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

59 citing papers in PubMed, 86 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Pulmonary MRI in Newborns and Children.Journal of magnetic resonance imaging : JMRI · 2025
    Review
  9. Article
  10. Observational
  11. Article
  12. Article
  13. Article
  14. Tracheomalacia Reduces Aerosolized Drug Delivery to the Lung.Journal of aerosol medicine and pulmonary drug delivery · 2024
    Article
  15. Review
  16. Article
  17. Initial feasibility and challenges of hyperpolarizedMagnetic resonance in medicine · 2023
    Article
  18. Review
  19. Image Phenotyping of Preterm-Born Children Using HyperpolarizedAmerican journal of respiratory and critical care medicine · 2023
    Article
  20. Article
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

9 authors at 5 institutions in 2 countries.

Andrew D HahnDepartment of Medical Physics, University of Wisconsin, Madison, WI.
Nara S HiganoCenter for Pulmonary Imaging Research, Division of Pulmonary Medicine and Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.
Laura L WalkupCenter for Pulmonary Imaging Research, Division of Pulmonary Medicine and Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.
Robert P ThomenCenter for Pulmonary Imaging Research, Division of Pulmonary Medicine and Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.
Xuefeng CaoCenter for Pulmonary Imaging Research, Division of Pulmonary Medicine and Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.
Stephanie L MerharPerinatal Institute, Division of Neonatology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.
Jean A TkachImaging Research Center, Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.
Jason C Woods *Center for Pulmonary Imaging Research, Division of Pulmonary Medicine and Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.
Sean B Fain *Department of Medical Physics, University of Wisconsin, Madison, WI.
Cincinnati Children's Hospital Medical Center · USUniversity of Cincinnati · USUniversity of Wisconsin–Madison · USPerinatal Institute · GBWashington University in St. Louis · US

Funding

LCenter for Clinical and Translational Science and TrainingUL1TR001425 · NCATS · UNIVERSITY OF CINCINNATI · PI MEINZEN-DERR, JAREEN, STRAWN, JEFFREY ROBERT · 2015 to 2024
$37.5M
Virus-Bacterial Interactions and Exacerba of AsthmaP01HL070831 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI GERN, JAMES E. · 2002 to 2017
$31.3M
VITAMIN K DEFICIENCY IN CHOLESTATIC LIVER DISEASEM01RR008084 · NCRR · CINCINNATI CHILDRENS HOSP MED CTR · PI HEUBI, JAMES E. · 1994 to 2009
$20.6M
U.W. RADIOLOGICAL SCIENCES TRAINING PROGRAMT32CA009206 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Bryan Patrick Bednarz · 1985 to 2026
$12.1M
TRANSCRIPTIONAL CONTROL OF RESPIRATORY EPITHELIAL DIFFERENTIATIONP50HL056387 · NHLBI · CHILDREN'S HOSPITAL MED CTR (CINCINNATI) · PI WERT, SUSAN E · 1996 to 2005
$11.9M
Using MRI To Visualize Regional Therapy Response In Idiopathic Pulmonary FibrosisR01HL126771 · NHLBI · DUKE UNIVERSITY · PI Bastiaan Driehuys · 2015 to 2026
$6.6M
Pulmonary Development and Disease Pathogenesis Training ProgramT32HL007752 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI Francis Xavier McCormack, Anne-Karina Theresia Perl · 1994 to 2026
$6.3M
XeBox-E10 Gas Polarizer for Functional MRI of Pediatric Lung DiseaseS10OD016394 · OD · UNIVERSITY OF WISCONSIN-MADISON · PI FAIN, SEAN BEDILION · 2013 to 2013
$600k
NCATS NIH HHS UL1 TR001425NCI NIH HHS T32 CA009206NCRR NIH HHS M01 RR008084NHLBI NIH HHS P01 HL070831NHLBI NIH HHS P50 HL056387NHLBI NIH HHS R01 HL126771NHLBI NIH HHS T32 HL007752NIH HHS S10 OD016394
6 · The paper itself

Abstract

purposeTo determine the feasibility of pulmonary magnetic resonance imaging (MRI) of neonatal lung structures enabled by combining two novel technologies: first, a 3D radial ultrashort echo time (UTE) pulse sequence capable of high spatial resolution full-chest imaging in nonsedated quiet-breathing neonates; and second, a unique, small-footprint 1.5T MRI scanner design adapted for neonatal imaging and installed within the neonatal intensive care unit (NICU). MATERIALS AND

methodsTen patients underwent MRI within the NICU, in accordance with an approved Institutional Review Board protocol. Five had clinical diagnoses of bronchopulmonary dysplasia (BPD), and five had putatively normal lung function. Pulmonary imaging was performed at 1.5T using 3D radial UTE and standard 3D fast gradient recalled echo (FGRE). Diagnostic quality, presence of motion artifacts, and apparent severity of lung pathology were evaluated by two radiologists. Quantitative metrics were additionally used to evaluate lung parenchymal signal.

resultsUTE images showed significantly higher signal in lung parenchyma (P < 0.0001) and fewer apparent motion artifacts compared to FGRE (P = 0.046). Pulmonary pathology was more severe in patients diagnosed with BPD relative to controls (P = 0.001). Infants diagnosed with BPD also had significantly higher signal in lung parenchyma, measured using UTE, relative to controls (P = 0.002).

conclusionThese results demonstrate the technical feasibility of pulmonary MRI in free-breathing, nonsedated infants in the NICU at high, isotropic resolutions approaching that achievable with computed tomography (CT). There is potential for pulmonary MRI to play a role in improving how clinicians understand and manage care of neonatal and pediatric pulmonary diseases. J. Magn. Reson. Imaging 2016. LEVEL OF EVIDENCE: 2 J. Magn. Reson. Imaging 2017;45:463-471.

Indexed as

Intensive Care Units, NeonatalEquipment DesignEquipment Failure AnalysisFeasibility StudiesFemaleHumansImage EnhancementImaging, Three-DimensionalLungMagnetic Resonance ImagingMaleMiniaturizationReproducibility of ResultsSensitivity and Specificity3D radialbronchopulmonary dysplasialungneonatespulmonary MRIUTE

Identifiers

PMID27458992
PMCPMC5222704
OpenAlexW2497857742

What OpenQuestion holds

Textmetadata
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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.