Evidence map›Paper›PMID 35836015›Full record

ArticlePediatric radiology2023

Chest examinations in children with real-time magnetic resonance imaging: first clinical experience.

Franz Wolfgang Hirsch, Ina Sorge, Dirk Voit, Jens Frahm, Freerk Prenzel, Robin Wachowiak, Rebecca Anders, Christian Roth, Daniel Gräfe

Open access · hybridAbstract read
In one paragraph

Article in Pediatric radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. [Magnetic resonance imaging of the pediatric chest].Radiologie (Heidelberg, Germany) · 2025
    Review
  6. Review
  7. Pulmonary MRI in Newborns and Children.Journal of magnetic resonance imaging : JMRI · 2025
    Review
  8. Review
  9. Review
4 · The record

Corrections and comments

  • Commented on by
    2025
5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Franz Wolfgang HirschDepartment of Pediatric Radiology, University Hospital, Liebigstraße 20a, 04107, Leipzig, Germany. franzwolfgang.hirsch@medizin.uni-leipzig.de.ORCID 0000-0003-0960-3740
Ina SorgeDepartment of Pediatric Radiology, University Hospital, Liebigstraße 20a, 04107, Leipzig, Germany.
Dirk VoitBiomedical NMR, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.ORCID 0000-0002-0058-2157
Jens FrahmBiomedical NMR, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.ORCID 0000-0002-8279-884X
Freerk PrenzelDepartment of Pediatrics, University Hospital, Leipzig, Germany.ORCID 0000-0002-2838-593X
Robin WachowiakDepartment of Pediatric Surgery, University Hospital, Leipzig, Germany.ORCID 0000-0003-2701-8692
Rebecca AndersDepartment of Pediatric Radiology, University Hospital, Liebigstraße 20a, 04107, Leipzig, Germany.
Christian RothDepartment of Pediatric Radiology, University Hospital, Liebigstraße 20a, 04107, Leipzig, Germany.ORCID 0000-0001-6080-9993
Daniel GräfeDepartment of Pediatric Radiology, University Hospital, Liebigstraße 20a, 04107, Leipzig, Germany.ORCID 0000-0002-7680-0990
University Hospital Leipzig · DEMax Planck Institute for the Study of Religious and Ethnic Diversity · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReal-time magnetic resonance imaging (MRI) based on a fast low-angle shot technique 2.0 (FLASH 2.0) is highly effective against artifacts caused due to the bulk and pulmonary and cardiac motions of the patient. However, to date, there are no reports on the application of this innovative technique to pediatric lung MRI.

objectiveThis study aimed to identify the limits of resolution and image quality of real-time lung MRI in children and to assess the types and minimal size of lesions with these new sequences. MATERIALS AND

methodsIn this retrospective study, pathological lung findings in 87 children were classified into 6 subgroups, as detected on conventional MRI: metastases and tumors, consolidation, scars, hyperinflation, interstitial pathology and bronchiectasis. Subsequently, the findings were grouped according to size (4-6 mm, 7-9 mm and ≥ 10 mm) and evaluated for visual delineation of the findings (0 = not visible, 1 = hardly visible and 2 = well visualized).

resultsReal-time MRI allows for diagnostic, artifact-free thorax images to be obtained, regardless of patient movements. The delineation of findings strongly correlates with the size of the pathology. Metastases, consolidation and scars were visible at 100% when larger than 9 mm. In the 7-9 mm subgroup, the visibility was 83% for metastases, 88% for consolidation and 100% for scars in T2/T1 weighting. Though often visible, smaller pathological lesions of 4-6 mm in size did not regularly meet the expected diagnostic confidence: The visibility of metastases was 18%, consolidation was 64% and scars was 71%. Diffuse interstitial lung changes and hyperinflation, known as "MR-minus pathologies," were not accessible to real-time MRI.

conclusionThe method provides motion robust images of the lung and thorax. However, the lower sensitivity for small lung lesions is a major limitation for routine use of this technique. Currently, the method is adequate for diagnosing inflammatory lung diseases, atelectasis, effusions and lung scarring in children with irregular breathing patterns or bulk motion on sedation-free MRI. A medium-term goal is to improve the diagnostic accuracy of small nodules and interstitial lesions.

Indexed as

CicatrixLung DiseasesArtifactsChildHumansLungMagnetic Resonance ImagingMagnetic Resonance SpectroscopyRetrospective StudiesChildrenLungsMagnetic resonance imagingPreschoolRespiratory systemThorax

Identifiers

PMID35836015
PMCPMC9816257
OpenAlexW4285491318

What OpenQuestion holds

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LicenceCC BY
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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.