Evidence map›Paper›PMID 22735927›Full record

ArticlePediatric radiology2012

An MRI system for imaging neonates in the NICU: initial feasibility study.

Jean A Tkach, Noah H Hillman, Alan H Jobe, Wolfgang Loew, Ron G Pratt, Barret R Daniels, Suhas G Kallapur, Beth M Kline-Fath, Stephanie L Merhar, Randy O Giaquinto and 5 more

Registry-linked trialOpen access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Pediatric radiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03455881 (Comprehensive Phenotypic and Genetic Assessment of Tracheal and Esophageal Birth Defects in Patients), which is not on this map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
4.3field-weighted citation impact, top 6% 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.

NCT03455881 unknown statusnot on this mapstarted 2018, after this paper: background citation

Comprehensive Phenotypic and Genetic Assessment of Tracheal and Esophageal Birth Defects in Patients

TypeobservationalSponsorChildren's Hospital Medical Center, CincinnatiRan2018 to 2026Enrolled360ConditionsTracheoesophageal Fistula, Esophageal Atresia, Laryngeal Cleft, Tracheal Stenosis
3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 50 citations in OpenAlex.

  1. Feasibility of and experience using a portable MRI scanner in the neonatal intensive care unit.Archives of disease in childhood. Fetal and neonatal edition · 2023
    Trial
  2. Article
  3. Article
  4. Review
  5. Observational
  6. Tracheomalacia Reduces Aerosolized Drug Delivery to the Lung.Journal of aerosol medicine and pulmonary drug delivery · 2024
    Article
  7. Initial feasibility and challenges of hyperpolarizedMagnetic resonance in medicine · 2023
    Article
  8. Low-field MRI: A report on the 2022 ISMRM workshop.Magnetic resonance in medicine · 2023
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Effects of neonatal lung abnormalities on parenchymal RJournal of magnetic resonance imaging : JMRI · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Increased Work of Breathing due to Tracheomalacia in Neonates.Annals of the American Thoracic Society · 2020
    Article
  18. Article
  19. Characterization ofMagnetic resonance in medicine · 2020
    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

15 authors at 1 institution in 1 country.

Jean A TkachImaging Research Center, Department of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., MLC 5033, Cincinnati, OH 45229, USA. jean.tkach@cchmc.org
Noah H Hillman
Alan H Jobe
Wolfgang Loew
Ron G Pratt
Barret R Daniels
Suhas G Kallapur
Beth M Kline-Fath
Stephanie L Merhar
Randy O Giaquinto
Patrick M Winter
Yu Li
Machiko Ikegami
Jeffrey A Whitsett
Charles L Dumoulin
Cincinnati Children's Hospital Medical Center · US

Funding

Cincinnati Center for Clinical and Translational Sciences and TrainingUL1TR000077 · NCATS · UNIVERSITY OF CINCINNATI · PI HEUBI, JAMES E., TSEVAT, JOEL · 2012 to 2014
$9.9M
NCATS NIH HHS UL1 TR000077
6 · The paper itself

Abstract

backgroundTransporting premature infants from a neonatal intensive care unit (NICU) to a radiology department for MRI has medical risks and logistical challenges.

objectiveTo develop a small 1.5-T MRI system for neonatal imaging that can be easily installed in the NICU and to evaluate its performance using a sheep model of human prematurity. MATERIALS AND

methodsA 1.5-T MRI system designed for orthopedic use was adapted for neonatal imaging. The system was used for MRI examinations of the brain, chest and abdomen in 12 premature lambs during the first hours of life. Spin-echo, fast spin-echo and gradient-echo MR images were evaluated by two pediatric radiologists.

resultsAll animals remained physiologically stable throughout the imaging sessions. Animals were imaged at two or three time points. Seven brain MRI examinations were performed in seven different animals, 23 chest examinations in 12 animals and 19 abdominal examinations in 11 animals. At each anatomical location, high-quality images demonstrating good spatial resolution, signal-to-noise ratio and tissue contrast were routinely obtained within 30 min using standard clinical protocols.

conclusionOur preliminary experience demonstrates the feasibility and potential of the neonatal MRI system to provide state-of-the-art MRI capabilities within the NICU. Advantages include overall reduced cost and site demands, lower acoustic noise, improved ease of access and reduced medical risk to the neonate.

Indexed as

Intensive Care Units, NeonatalAnimalsEquipment DesignEquipment Failure AnalysisFeasibility StudiesFemaleHumansInfant, NewbornIntensive Care, NeonatalMagnetic Resonance ImagingMalePilot ProjectsReproducibility of ResultsSensitivity and SpecificitySheep

Identifiers

PMID22735927
OpenAlexW2053896152

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.