Evidence map›Paper›PMID 32943421›Full record

ArticleAJNR. American journal of neuroradiology2020

Prognostic Accuracy of Fetal MRI in Predicting Postnatal Neurodevelopmental Outcome.

M Wilson, K Muir, D Reddy, R Webster, C Kapoor, E Miller

Open access · hybridAbstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Toward structured fellowships in fetal neuroimaging.Acta obstetricia et gynecologica Scandinavica · 2025
    Article
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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

6 authors at 4 institutions in 3 countries.

M WilsonFrom the Department of Medical Imaging (M.W., C.K., E.M.).ORCID 0000-0003-2698-5410
K MuirPediatric Neurology (K.M.).ORCID 0000-0001-6069-3134
D ReddyResearch Institute (D.R., R.W.), Children's Hospital of Eastern Ontario, University of Ottawa,Ottawa, Ontario, Canada.ORCID 0000-0002-0457-1885
R WebsterResearch Institute (D.R., R.W.), Children's Hospital of Eastern Ontario, University of Ottawa,Ottawa, Ontario, Canada.ORCID 0000-0002-7682-8993
C KapoorFrom the Department of Medical Imaging (M.W., C.K., E.M.).ORCID 0000-0002-3301-6346
E MillerFrom the Department of Medical Imaging (M.W., C.K., E.M.) EMiller@cheo.on.ca.ORCID 0000-0003-1075-5952
Laboratoire d’Imagerie Biomédicale · FRUniversity of Ottawa · CABeth Israel Deaconess Medical Center · USNeurology, Inc · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeThe superior diagnostic accuracy of fetal MR imaging in detecting fetal brain abnormalities has been previously demonstrated; however, the ability of fetal MR imaging to prognosticate postnatal outcome is not well-studied. We performed a retrospective analysis to determine the prognostic accuracy of fetal MR imaging in predicting postnatal neurodevelopmental outcome. MATERIALS AND

methodsWe identified all fetal MR imaging performed at the Children's Hospital of Eastern Ontario during a 10-year period and assessed agreement between prenatal prognosis and postnatal outcome. Prenatal prognosis was determined by a pediatric neurologist who reviewed the fetal MR imaging report and categorized each pregnancy as having a favorable, indeterminate, or poor prognosis. Assessment of postnatal neurodevelopmental outcome was made solely on the basis of the child's Gross Motor Function Classification System score and whether the child developed epilepsy. Postnatal outcome was categorized as favorable, intermediate, or poor. We also assessed the diagnostic accuracy of fetal MR imaging by comparing prenatal and postnatal imaging diagnoses.

resultsWe reviewed 145 fetal MR images: 114 were included in the assessment of diagnostic accuracy, and 104 were included in the assessment of prognostic accuracy. There was 93.0% agreement between prenatal and postnatal imaging diagnoses. Prognosis was favorable in 44.2%, indeterminate in 50.0%, and poor in 5.8% of pregnancies. There was 93.5% agreement between a favorable prenatal prognosis and a favorable postnatal outcome.

conclusionsA favorable prenatal prognosis is highly predictive of a favorable postnatal outcome. Further studies are required to better understand the role of fetal MR imaging in prognosticating postnatal development, particularly in pregnancies with indeterminate and poor prognoses.

Indexed as

Brain DiseasesBrainFemaleFetusHumansMagnetic Resonance ImagingMaleNeurodevelopmental DisordersPregnancyPrenatal DiagnosisPrognosisRetrospective Studies

Identifiers

PMID32943421
PMCPMC7658822
OpenAlexW3087125229

What OpenQuestion holds

Textmetadata
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.