Evidence map›Paper›PMID 31786091›Full record

ArticleThe Lancet. Child & adolescent health2020

Accuracy of in-utero MRI to detect fetal brain abnormalities and prognosticate developmental outcome: postnatal follow-up of the MERIDIAN cohort.

Anthony R Hart, Nicholas D Embleton, Michael Bradburn, Daniel J A Connolly, Laura Mandefield, Cara Mooney, Paul D Griffiths

Abstract readComparative Study
In one paragraph

Article in The Lancet. Child & adolescent health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  11. CNS Malformations in the Newborn.Maternal health, neonatology and perinatology · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Anthony R HartDepartment of Paediatric and Perinatal Neurology, Sheffield Children's Hospital NHS Foundation Trust, Ryegate Children's Centre, Sheffield, UK.
Nicholas D EmbletonNewcastle Neonatal Service, Ward 35 Neonatal Unit, Royal Victoria Infirmary, Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.
Michael BradburnClinical Trials Research Unit, School Health and Related Research, University of Sheffield, Sheffield, UK.
Daniel J A ConnollyDepartment of Paediatric Neuroradiology, Sheffield Children's Hospital NHS Foundation Trust, Western Bank, Sheffield, UK.
Laura MandefieldClinical Trials Research Unit, School Health and Related Research, University of Sheffield, Sheffield, UK.
Cara MooneyClinical Trials Research Unit, School Health and Related Research, University of Sheffield, Sheffield, UK. Electronic address: c.d.mooney@sheffield.ac.uk.
Paul D GriffithsAcademic Unit of Radiology, University of Sheffield, Royal Hallamshire Hospital, Sheffield, UK.

Funding

Department of Health 09/06/01
6 · The paper itself

Abstract

backgroundIn utero MRI (iuMRI) detects fetal brain abnormalities more accurately than ultrasonography and provides additional clinical information in around half of pregnancies. We aimed to study whether postnatal neuroimaging after age 6 months changes the diagnostic accuracy of iuMRI and its ability to predict developmental outcome.

methodsFamilies enrolled in the MERIDIAN study whose child survived to age 3 years were invited to have a case note review and assessment of developmental outcome with the Bayley Scales of Infant and Toddler Development, the Ages and Stages Questionnaire, or both. A paediatric neuroradiologist, masked to the iuMRI results, reviewed the postnatal neuroimaging if the clinical report differed from iuMRI findings. Diagnostic accuracy was recalculated. A paediatric neurologist and neonatologist categorised participants' development as normal, at risk, or abnormal, and the ability of iuMRI and ultrasonography to predict developmental outcome were assessed.

findings210 participants had case note review, of whom 81 (39%) had additional investigations after age 6 months. The diagnostic accuracy of iuMRI remained higher than ultrasonography (proportion of correct cases was 529 [92%] of 574 vs 387 [67%] of 574; absolute difference 25%, 95% CI 21 to 29; p<0·0001). Developmental outcome data were analysed in 156 participants, and 111 (71%) were categorised as normal or at risk. Of these 111 participants, prognosis was normal or favourable for 56 (51%) using ultrasonography and for 76 (69%) using iuMRI (difference in specificity 18%, 95% CI 7 to 29; p=0·0008). No statistically significant difference was seen in infants with abnormal outcome (difference in sensitivity 4%, 95% CI -10 to 19; p=0·73).

interpretationiuMRI remains the optimal tool to identify fetal brain abnormalities. It is less accurate when used to predict developmental outcome, although better than ultrasonography for identifying children with normal outcome. Further work is needed to determine how the prognostic abilities of iuMRI can be improved.

fundingNational Institute for Health Research Health Technology Assessment programme.

Indexed as

BrainChild, PreschoolEarly DiagnosisFemaleFetal DiseasesFollow-Up StudiesHumansInfantInfant, NewbornMagnetic Resonance ImagingMaleNeurodevelopmental DisordersPredictive Value of TestsPregnancyProspective StudiesReproducibility of Results

Identifiers

PMID31786091
PMCPMC6988445

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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.