Evidence map›Paper›PMID 27885428›Full record

ArticleBrain structure & function2017

Normative biometry of the fetal brain using magnetic resonance imaging.

Vanessa Kyriakopoulou, Deniz Vatansever, Alice Davidson, Prachi Patkee, Samia Elkommos, Andrew Chew, Miriam Martinez-Biarge, Bibbi Hagberg, Mellisa Damodaram, Joanna Allsop and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Brain structure & function, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed
19.6field-weighted citation impact, top 1% 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

89 citing papers in PubMed, 152 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Genetic Disorders Detectable by Fetal MRI: A Review.Diagnostics (Basel, Switzerland) · 2026
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review

29 more citing papers are in PubMed but not listed here.

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

13 authors at 1 institution in 2 countries.

Vanessa KyriakopoulouCentre for the Developing Brain, Division of Imaging Sciences and Biomedical Engineering, Perinatal Imaging and Health, King's College London, King's Health Partners, St. Thomas' Hospital, 1st Floor South Wing, London, SE1 7EH, UK. vanessa.kyriakopoulou@kcl.ac.uk.ORCID http://orcid.org/0000-0002-9883-0314
Deniz VatanseverCentre for the Developing Brain, Division of Imaging Sciences and Biomedical Engineering, Perinatal Imaging and Health, King's College London, King's Health Partners, St. Thomas' Hospital, 1st Floor South Wing, London, SE1 7EH, UK.
Alice DavidsonCentre for the Developing Brain, Division of Imaging Sciences and Biomedical Engineering, Perinatal Imaging and Health, King's College London, King's Health Partners, St. Thomas' Hospital, 1st Floor South Wing, London, SE1 7EH, UK.
Prachi PatkeeCentre for the Developing Brain, Division of Imaging Sciences and Biomedical Engineering, Perinatal Imaging and Health, King's College London, King's Health Partners, St. Thomas' Hospital, 1st Floor South Wing, London, SE1 7EH, UK.
Samia ElkommosCentre for the Developing Brain, Division of Imaging Sciences and Biomedical Engineering, Perinatal Imaging and Health, King's College London, King's Health Partners, St. Thomas' Hospital, 1st Floor South Wing, London, SE1 7EH, UK.
Andrew ChewCentre for the Developing Brain, Division of Imaging Sciences and Biomedical Engineering, Perinatal Imaging and Health, King's College London, King's Health Partners, St. Thomas' Hospital, 1st Floor South Wing, London, SE1 7EH, UK.
Miriam Martinez-BiargeCentre for the Developing Brain, Division of Imaging Sciences and Biomedical Engineering, Perinatal Imaging and Health, King's College London, King's Health Partners, St. Thomas' Hospital, 1st Floor South Wing, London, SE1 7EH, UK.
Bibbi HagbergCentre for the Developing Brain, Division of Imaging Sciences and Biomedical Engineering, Perinatal Imaging and Health, King's College London, King's Health Partners, St. Thomas' Hospital, 1st Floor South Wing, London, SE1 7EH, UK.
Mellisa DamodaramCentre for the Developing Brain, Division of Imaging Sciences and Biomedical Engineering, Perinatal Imaging and Health, King's College London, King's Health Partners, St. Thomas' Hospital, 1st Floor South Wing, London, SE1 7EH, UK.
Joanna AllsopCentre for the Developing Brain, Division of Imaging Sciences and Biomedical Engineering, Perinatal Imaging and Health, King's College London, King's Health Partners, St. Thomas' Hospital, 1st Floor South Wing, London, SE1 7EH, UK.
Matt FoxCentre for the Developing Brain, Division of Imaging Sciences and Biomedical Engineering, Perinatal Imaging and Health, King's College London, King's Health Partners, St. Thomas' Hospital, 1st Floor South Wing, London, SE1 7EH, UK.
Joseph V HajnalCentre for the Developing Brain, Division of Imaging Sciences and Biomedical Engineering, Perinatal Imaging and Health, King's College London, King's Health Partners, St. Thomas' Hospital, 1st Floor South Wing, London, SE1 7EH, UK.
Mary A RutherfordCentre for the Developing Brain, Division of Imaging Sciences and Biomedical Engineering, Perinatal Imaging and Health, King's College London, King's Health Partners, St. Thomas' Hospital, 1st Floor South Wing, London, SE1 7EH, UK.
St Thomas' Hospital · GB

Funding

Medical Research Council MC_U120088465Medical Research Council MR/K006355/1
6 · The paper itself

Abstract

The fetal brain shows accelerated growth in the latter half of gestation, and these changes can be captured by 2D and 3D biometry measurements. The aim of this study was to quantify brain growth in normal fetuses using Magnetic Resonance Imaging (MRI) and to produce reference biometry data and a freely available centile calculator ( https://www.developingbrain.co.uk/fetalcentiles/ ). A total of 127 MRI examinations (1.5 T) of fetuses with a normal brain appearance (21-38 gestational weeks) were included in this study. 2D and 3D biometric parameters were measured from slice-to-volume reconstructed images, including 3D measurements of supratentorial brain tissue, lateral ventricles, cortex, cerebellum and extra-cerebral CSF and 2D measurements of brain biparietal diameter and fronto-occipital length, skull biparietal diameter and occipitofrontal diameter, head circumference, transverse cerebellar diameter, extra-cerebral CSF, ventricular atrial diameter, and vermis height, width, and area. Centiles were constructed for each measurement. All participants were invited for developmental follow-up. All 2D and 3D measurements, except for atrial diameter, showed a significant positive correlation with gestational age. There was a sex effect on left and total lateral ventricular volumes and the degree of ventricular asymmetry. The 5th, 50th, and 95th centiles and a centile calculator were produced. Developmental follow-up was available for 73.1% of cases [mean chronological age 27.4 (±10.2) months]. We present normative reference charts for fetal brain MRI biometry at 21-38 gestational weeks. Developing growth trajectories will aid in the better understanding of normal fetal brain growth and subsequently of deviations from typical development in high-risk pregnancies or following premature delivery.

Indexed as

Magnetic Resonance ImagingBiometryBrainFemaleFetusGestational AgeHumansImage Processing, Computer-AssistedPregnancyUltrasonography, PrenatalBrain developmentCentilesMagnetic resonance imaging

Identifiers

PMID27885428
PMCPMC5504265
OpenAlexW2555545183

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.