Evidence map›Paper›PMID 36253494›Full record

ArticleArchives of gynecology and obstetrics2023

Sexual dimorphism of the fetal brain biometry: an MRI-based study.

Michal Gafner, Eliel Kedar Sade, Eran Barzilay, Eldad Katorza

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In one paragraph

Article in Archives of gynecology and obstetrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 7 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Michal GafnerSackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel. michalgurevitch@gmail.com.ORCID 0000-0002-3851-7334
Eliel Kedar SadeFaculty of Health Sciences, Joyce and Irving Goldman Medical School, Ben-Gurion University of the Negev, Beer-Sheva, Israel.ORCID 0000-0002-7113-1812
Eran BarzilayDepartment of Obstetrics and Gynecology, Faculty of Health Sciences, Samson Assuta Ashdod Hospital, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Eldad KatorzaSackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
Ben-Gurion University of the Negev · ILTel Aviv University · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeFetal growth assessment is a key component of prenatal care. Sex-specific fetal brain nomograms on ultrasound are available and are clinically used. In recent years, the use of fetal MRI has been increasing; however, there are no sex-specific fetal CNS nomograms on MRI. The study aimed to assess the differences in fetal brain biometry and growth trajectories and to create population-based standards of the fetal brain on MRI.

methodsIn this cross-sectional study, brain structures of singleton fetuses with normal brain MRI scans were analyzed: biparietal diameter, occipitofrontal diameter, trans-cerebellar diameter, and the corpus callosum were measured and converted into centiles. Sex-specific nomograms were created.

resultsA total of 3848 MRI scans were performed in one tertiary medical center between 2011 and 2019; of them, 598 fetuses met the inclusion criteria, 300 males and 298 females between 28- and 37-weeks' gestation. Males had significantly larger occipitofrontal diameter than females (median 75%, IQR 54-88%; median 61%, IQR 40-77%) and biparietal diameter (median 63%, IQR 42-82%; median 50%, IQR 25-73%), respectively (p < 0.001). The cerebellum had the greatest growth rate, with a 1.5-fold increase in diameter between 28 and 37 weeks' gestation, with no measurement difference between the sexes (p = 0.239). No significant difference was found in the corpus callosum (p = 0.074).

conclusionMeasuring both sexes on the same nomograms may result in over-estimation of male fetuses and under-estimation of females. We provide fetal sex-specific nomograms on two-dimensional MRI.

Indexed as

Sex CharacteristicsUltrasonography, PrenatalBiometryBrainCross-Sectional StudiesFemaleGestational AgeHumansMagnetic Resonance ImagingMalePregnancyBrainCentral nervous systemFetusMagnetic resonance imagingSex characteristics

Identifiers

PMID36253494
OpenAlexW4306412095

What OpenQuestion holds

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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.