Evidence map›Paper›PMID 40926155›Full record

ArticleEuropean radiology experimental2025

Lung volume segmentation in fetal MRI: super-resolution reconstructions improve inter-rater reliability.

Kelly Payette, Julia Geiger, Michael Zellner, Céline Steger, Christian J Kellenberger, Ruth Tuura, Raimund Kottke, Andras Jakab

Abstract read
In one paragraph

Article in European radiology experimental, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Genetic Disorders Detectable by Fetal MRI: A Review.Diagnostics (Basel, Switzerland) · 2026
    Review
  3. Radiomics in fetal brain MRI: a narrative review.European radiology experimental · 2026
    Review
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

8 authors.

Kelly PayetteCenter for MR-Research, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland. kelly.payette@kispi.uzh.ch.ORCID http://orcid.org/0000-0001-7041-0150
Julia GeigerDepartment of Diagnostic Imaging and Intervention, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland.
Michael ZellnerDepartment of Diagnostic Imaging and Intervention, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland.
Céline StegerCenter for MR-Research, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland.
Christian J KellenbergerDepartment of Diagnostic Imaging and Intervention, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland.
Ruth TuuraCenter for MR-Research, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland.
Raimund KottkeDepartment of Diagnostic Imaging and Intervention, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland.
Andras JakabCenter for MR-Research, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland.

Funding

Universität Zürich Forschungskredit (Grant NO. FK-21-125)
6 · The paper itself

Abstract

backgroundFetal MRI is increasingly used to investigate fetal lung pathologies, and super-resolution (SR) algorithms could be a powerful clinical tool for this assessment. Our goal was to investigate whether SR reconstructions result in an improved agreement in lung volume measurements determined by different raters, also known as inter-rater reliability. MATERIALS AND

methodsIn this single-center retrospective study, fetal lung volumes calculated from both SR reconstructions and the original images were analyzed. Three radiologists manually segmented the fetal lungs and rated the image quality of all images and reconstructions. Fetal lung volumes were calculated, and the coefficient of variation (CV) was determined for each set of images. Bland-Altman plots were generated, and intraclass correlation coefficients (ICCs) were calculated. A one-sided paired Wilcoxon test was used to compare the fetal lung volume CVs, and a two-sided paired t-test was used to compare the lung volumes. The quality ratings were compared using a two-sided paired Wilcoxon test.

resultsA total of 98 fetal scans with gestational ages from 19 to 37 weeks were evaluated. There was a significantly lower CV in the lung volumes segmented from the SR reconstructions (p < 0.001), and the ICCs of the reconstructions were higher than those determined from the original images. Bland-Altman plots demonstrated better agreement in the SR reconstruction lung volumes. No significant differences in quality ratings or lung volumes were found.

conclusionSR reconstructions of the fetal lungs in MRI enabled better inter-rater reliability of fetal lung volume assessment. RELEVANCE STATEMENT: SR reconstructions of the fetal body, obtained through fetal MRI, can be a valuable tool for improving the inter-rater reliability of fetal lung volume measurements, a crucial clinical biomarker for assessing fetal development and predicting pregnancy outcomes. KEY POINTS: Deformable slice-to-volume reconstructions of fetal body MRI could be a valuable clinical tool. Quantitative advantages of fetal body MRI reconstructions need to be proven. Fetal body MRI reconstructions improved inter-rater reliability in lung volume measurements.

Indexed as

Image Processing, Computer-AssistedLungLung Volume MeasurementsMagnetic Resonance ImagingPrenatal DiagnosisAlgorithmsFemaleGestational AgeHumansObserver VariationPregnancyReproducibility of ResultsRetrospective StudiesImage processing (computer-assisted)Lung volume measurementsMagnetic resonance imagingPregnancyReproducibility of results

Identifiers

PMID40926155
PMCPMC12420550

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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.