Evidence map›Paper›PMID 41575808›Full record

Observational studyUltrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology2026

Deep learning assessment of fetal brain maturation on 3D ultrasound volumes in early-onset fetal growth restriction.

L Meijerink, M Wyburd, A I L Namburete, T Alderliesten, F Groenendaal, M Benders, F Terstappen, M N Bekker

Abstract readObservational Study
In one paragraph

Observational study in Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

L MeijerinkDepartment of Obstetrics, Division Woman & Baby, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.ORCID 0000-0002-5914-4186
M WyburdOxford Machine Learning in Neuroimaging Laboratory, Department of Computer Science, University of Oxford, Oxford, UK.
A I L NambureteOxford Machine Learning in Neuroimaging Laboratory, Department of Computer Science, University of Oxford, Oxford, UK.
T AlderliestenDepartment of Neonatology, Division Woman & Baby, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
F GroenendaalDepartment of Neonatology, Division Woman & Baby, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
M BendersDepartment of Neonatology, Division Woman & Baby, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
F TerstappenDepartment of Obstetrics, Division Woman & Baby, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
M N BekkerDepartment of Obstetrics, Division Woman & Baby, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.ORCID 0000-0002-7372-4291

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo quantify fetal brain maturation in fetuses with early-onset fetal growth restriction (FGR) by estimating gestational age (GA) based on the appearance of gyrification and individual brain structures from three-dimensional (3D) ultrasound volumes using a deep-learning model trained on optimally developing subjects. The association of altered fetal brain maturation, as a potential marker of cumulative intrauterine stress, with an increased risk of neonatal complications was also explored.

methodsThis was a prospective, observational, single-center cohort study of singleton pregnancies with early-onset FGR conducted at the University Medical Center Utrecht between June 2022 and June 2024. Early-onset FGR was defined as an estimated fetal weight (EFW) and/or abdominal circumference below the 10

resultsThe study included 43 growth-restricted fetuses with high-quality 3D ultrasound scans (13 of which had brain-sparing FGR) at a median GA of 27.1 (interquartile range (IQR), 26.1-27.7) weeks. The estimated GA was significantly lower than the actual GA in early-onset FGR, with ΔGA of -4.6 (IQR, -9.8 to -1.0) days based on the whole scan, ΔGA of -4.9 (IQR, -9.0 to -1.2) days based on the SF, ΔGA of -5.4 (IQR, -7.4 to -1.7) days based on the POF and CLC, and ΔGA of -3.2 (IQR, -6.8 to 0.3) days based on the CB (P < 0001 for all). There was no significant difference in brain maturation between fetuses with brain-sparing and those with non-brain-sparing FGR or between male and female fetuses. The EFW percentile correlated significantly with the degree of delayed maturation (whole-scan data, r = 0.377; P = 0.013) and contributed to our multivariable model. Socioeconomic status, fetal sex and CPR were not associated with the delay in maturation. Seventeen neonates were born < 32.0 weeks' gestation and admitted to the neonatal intensive care unit. The ΔGA was higher in the neonates with perinatal complications, indicating greater delay in brain maturation.

conclusionsDelayed fetal brain maturation in early-onset FGR has been demonstrated using a 3D ultrasound deep-learning model. These findings highlight the potential role of 3D ultrasound in the assessment of fetal brain maturation and support the need for continued research into these findings and their long-term neurodevelopmental consequences in early-onset FGR. © 2026 The Author(s). Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

Indexed as

BrainDeep LearningFetal Growth RetardationImaging, Three-DimensionalUltrasonography, PrenatalAdultFemaleFetal DevelopmentGestational AgeHumansMiddle Cerebral ArteryPregnancyProspective StudiesUmbilical Arteriesdeep‐learning modelfetal brain maturationfetal growth restriction

Identifiers

PMID41575808
PMCPMC12951275

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.