Evidence map›Paper›PMID 39939911›Full record

ArticleJournal of neurodevelopmental disorders2025

An exploratory fetal MRI study examining the impact of 22q11.2 microdeletion syndrome on early brain growth.

Daniel Cromb, Tom Finck, Alexandra F Bonthrone, Alena Uus, Milou Van Poppel, Johannes Steinweg, David F Lloyd, Kuberan Pushparajah, Reza Razavi, Serena J Counsell and 1 more

Abstract read
In one paragraph

Article in Journal of neurodevelopmental disorders, 2025. 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. Charting Brain Structure in 22q11.2 Deletion Syndrome with Clinical Neuroimaging.medRxiv : the preprint server for health sciences · 2026
    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

11 authors.

Daniel Cromb *Research Department of Early Life Imaging, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK. daniel.cromb@kcl.ac.uk.
Tom Finck *Research Department of Early Life Imaging, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
Alexandra F BonthroneResearch Department of Early Life Imaging, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
Alena UusResearch Department of Early Life Imaging, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
Milou Van PoppelDepartment of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Science, King's College London, London, UK.
Johannes SteinwegDepartment of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Science, King's College London, London, UK.
David F LloydResearch Department of Early Life Imaging, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
Kuberan PushparajahDepartment of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Science, King's College London, London, UK.
Reza RazaviBiomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Serena J CounsellResearch Department of Early Life Imaging, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
Mary RutherfordResearch Department of Early Life Imaging, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.

Funding

Medical Research Council MR/L011530/1Medical Research Council MR/V002465/1Wellcome EPSRC Centre for Medical Engineering WT203148/Z/16/ZWellcome TrustWellcome Trust IEH Award (102431)
6 · The paper itself

Abstract

backgroundImproved long-term outcomes, related to advances in surgical and clinical care of infants with congenital heart disease (CHD), has shifted focus onto the accompanying and later-onset cognitive and neuropsychiatric disorders in those who also have 22q11.2 deletion syndrome (22qDS). 22qDS is itself associated with neurodevelopmental impairments and altered brain growth. However, when brain growth in 22qDS first deviates from normal is unknown, and whether impaired brain development is primarily genetics-driven or a secondary consequence of the underlying CHD remains incompletely understood.

methodsIn this small, exploratory study, we use fetal MRI to assess volumetric brain development in 22qDS by comparing fetal brain morphometry to a set of gestation and sex-matched healthy controls, and a cohort of gestation and sex-matched fetuses with the same CHD diagnoses but without 22q11.2 deletion. Structural T2-weighted fetal brain images were acquired using a 1.5T MRI scanner. MR scanner and sequence parameters were identical in all cohorts. Motion-corrected images underwent segmentation using an automated pipeline developed for fetal brain MRI. Total brain tissue volumes, volumes for four different tissue regions (cortical grey matter, white matter, deep grey matter and cerebellum), cerebrospinal fluid and total intracranial volumes were calculated.

resultsAntenatal imaging was acquired between 29 and 35 weeks gestation. Thirty-three fetuses were included (7 22qDS; 14 isolated CHD; 12 healthy control). White matter volumes were significantly reduced in fetuses with 22qDS compared to control fetuses (p = 0.028), but not to those with CHD without 22q11.2 deletion (p = 0.09). Large effect-sizes were seen between the 22qDS and isolated CHD cohorts (D

conclusionsThis exploratory study expands our existing knowledge on neurodevelopmental impairments in 22qDS to the fetal period by highlighting reduced white matter volumes compared to gestation and sex-matched control fetuses during this time-period. Our findings suggest that impaired white matter growth in fetuses with both 22qDS and CHD may not be fully explained by any underlying CHD.

Indexed as

BrainDiGeorge SyndromeFetusAdultFemaleHeart Defects, CongenitalHumansMagnetic Resonance ImagingMalePregnancyPrenatal Diagnosis22q deletion syndromeFetal MRI

Identifiers

PMID39939911
PMCPMC11817260

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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.