Evidence map›Paper›PMID 28160357›Full record

ArticleJournal of magnetic resonance imaging : JMRI2017

Quantification of neonatal lung parenchymal density via ultrashort echo time MRI with comparison to CT.

Nara S Higano, Robert J Fleck, David R Spielberg, Laura L Walkup, Andrew D Hahn, Robert P Thomen, Stephanie L Merhar, Paul S Kingma, Jean A Tkach, Sean B Fain and 1 more

Abstract readComparative 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 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 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

48 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Pulmonary MRI in Newborns and Children.Journal of magnetic resonance imaging : JMRI · 2025
    Review
  12. Review
  13. Article
  14. Article
  15. Initial feasibility and challenges of hyperpolarizedMagnetic resonance in medicine · 2023
    Article
  16. Article
  17. Article
  18. Review
  19. Seeing Premature Lung Disease: Hyperpolarized Xe Magnetic Resonance Imaging.American 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

11 authors.

Nara S HiganoCenter for Pulmonary Imaging Research, Division of Pulmonary Medicine and Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Robert J FleckDepartment of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
David R SpielbergCenter for Pulmonary Imaging Research, Division of Pulmonary Medicine and Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Laura L WalkupCenter for Pulmonary Imaging Research, Division of Pulmonary Medicine and Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Andrew D HahnDepartment of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Robert P ThomenCenter for Pulmonary Imaging Research, Division of Pulmonary Medicine and Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Stephanie L MerharDivision of Neonatology and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Paul S KingmaDivision of Neonatology and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Jean A TkachDepartment of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Sean B FainDepartment of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Jason C WoodsCenter for Pulmonary Imaging Research, Division of Pulmonary Medicine and Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.

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
U.W. RADIOLOGICAL SCIENCES TRAINING PROGRAMT32CA009206 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Bryan Patrick Bednarz · 1985 to 2026
$12.1M
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
NCATS NIH HHS UL1 TR001425NCI NIH HHS T32 CA009206NHLBI NIH HHS P01 HL070831NHLBI NIH HHS T32 HL007752
6 · The paper itself

Abstract

purposeTo demonstrate that ultrashort echo time (UTE) magnetic resonance imaging (MRI) can achieve computed tomography (CT)-like quantification of lung parenchyma in free-breathing, non-sedated neonates. Because infant CTs are used sparingly, parenchymal disease evaluation via UTE MRI has potential for translational impact. MATERIALS AND

methodsTwo neonatal control cohorts without suspected pulmonary morbidities underwent either a research UTE MRI (n = 5; 1.5T) or a clinically-ordered CT (n = 9). Whole-lung means and anterior-posterior gradients of UTE-measured image intensity (arbitrary units, au, normalized to muscle) and CT-measured density (g/cm

resultsIn control subjects, whole-lung UTE intensities (0.51 ± 0.04 au) were similar to CT densities (0.44 ± 0.09 g/cm

conclusionThese results demonstrate a strong association between UTE image intensity and CT density, both between whole-lung tissue in control patients and regional radiological pathologies in diseased patients. This indicates the potential for UTE MRI to longitudinally evaluate neonatal pulmonary disease and to provide visualization of pathologies similar to CT, without sedation/anesthesia or ionizing radiation. LEVEL OF EVIDENCE: 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2017;46:992-1000.

Indexed as

FemaleHumansImage Interpretation, Computer-AssistedInfant, NewbornLungLung DiseasesMagnetic Resonance ImagingMaleProspective StudiesReproducibility of ResultsSensitivity and SpecificityTomography, X-Ray Computedchest CTlung parenchymal densityneonatespulmonary MRIultrashort echo time

Identifiers

PMID28160357
PMCPMC6457694

What OpenQuestion holds

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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.