Evidence map›Paper›PMID 36672099›Full record

ArticleBrain sciences2023

First Trimester Ultrasound Detection of Fetal Central Nervous System Anomalies.

Delia Roxana Ungureanu, Roxana Cristina Drăgușin, Răzvan Grigoraș Căpitănescu, Lucian Zorilă, Anca Maria Istrate Ofițeru, Cristian Marinaș, Ciprian Laurențiu Pătru, Alexandru Cristian Comănescu, Maria Cristina Comănescu, Ovidiu Costinel Sîrbu and 7 more

Open access · goldAbstract read
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Article in Brain sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
9.9field-weighted citation impact, top 2% 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

7 citing papers in PubMed, 17 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

17 authors at 1 institution in 1 country.

Delia Roxana UngureanuDoctoral School, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania.
Roxana Cristina DrăgușinDepartment of Obstetrics and Gynecology, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania.ORCID 0000-0001-6815-4581
Răzvan Grigoraș CăpitănescuDepartment of Obstetrics and Gynecology, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania.
Lucian ZorilăDepartment of Obstetrics and Gynecology, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania.ORCID 0000-0002-2358-7866
Anca Maria Istrate OfițeruDepartment of Obstetrics and Gynecology, Emergency Clinical County Hospital, 200642 Craiova, Romania.ORCID 0000-0002-3631-9107
Cristian MarinașDepartment of Obstetrics and Gynecology, Emergency Clinical County Hospital, 200642 Craiova, Romania.
Ciprian Laurențiu PătruDepartment of Obstetrics and Gynecology, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania.
Alexandru Cristian ComănescuDepartment of Obstetrics and Gynecology, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania.
Maria Cristina ComănescuDepartment of Obstetrics and Gynecology, Emergency Clinical County Hospital, 200642 Craiova, Romania.
Ovidiu Costinel SîrbuDepartment of Obstetrics and Gynecology, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania.
Maria-Sidonia VrabieDepartment of Obstetrics and Gynecology, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania.
Lorena Anda DijmărescuDepartment of Obstetrics and Gynecology, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania.
Ioana StreațăLaboratory of Human Genomics, University of Medicine and Pharmacy of Craiova, 200638 Craiova, Romania.
Florin BuradaLaboratory of Human Genomics, University of Medicine and Pharmacy of Craiova, 200638 Craiova, Romania.
Mihai IoanaLaboratory of Human Genomics, University of Medicine and Pharmacy of Craiova, 200638 Craiova, Romania.
Alice Nicoleta DrăgoescuDepartment of Anesthesia and Intensive Care, Emergency Clinical County Hospital, 200642 Craiova, Romania.
Dominic Gabriel IliescuDepartment of Obstetrics and Gynecology, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania.ORCID 0000-0002-7823-3387
University of Medicine and Pharmacy of Craiova · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the potential of the first-trimester ultrasound (US) features for the detection of central nervous system (CNS) anomalies. Methods/Methodology: This is a prospective one-center three-year study. Unselected singleton pregnant women were examined using an extended first-trimester anomaly scan (FTAS) that included the CNS assessment: the calvaria shape, the septum (falx cerebri), the aspect of the lateral ventricles, the presence of the third ventricle and aqueduct of Sylvius (AS) and the posterior brain morphometry: the fourth ventricle, namely intracranial translucency (IT), brain stem/brain stem-occipital bone ratio (BS/BSOB) and cisterna magna (CM). The spine and underlying skin were also evaluated. The cases were also followed during the second and third trimesters of pregnancy and at delivery. FTAS efficiency to detect major CNS abnormalities was calculated.

resultsWe detected 17 cases with CNS major abnormalities in a population of 1943 first-trimester (FT) fetuses, including spina bifida with myelomeningocele, exencephaly-anencephaly, holoprosencephaly, hydrocephaly, cephalocele and Dandy-Walker malformation. The CNS features in the abnormal group are presented. In the second trimester (ST), we further diagnosed cases of corpus callosum agenesis, cerebellar hypoplasia, vein of Galen aneurysm and fetal infection features (ventriculomegaly, intraventricular bands, intraventricular cyst and hyperechoic foci), all declared normal at the FTAS. During the third trimester (TT) scan we identified a massive fetal cerebral haemorrhage absent at previous investigations. We report a detection rate of 72.7% of fetal brain anomalies in the FT using the proposed CNS parameters. The sensitivity of the examination protocol was 72.7%, and the specificity was 100%.

conclusionA detailed FT CNS scan is feasible and efficient. The majority of cases of major CNS abnormalities can be detected early in pregnancy. The visualization rates of the CNS parameters in the FT are great with short, if any, additional investigation time. FT cerebral disorders such as haemorrhage or infections were missed in the FT even when an extended evaluation protocol was used.

Indexed as

anomaly scancentral nervous systemfirst trimesterholoprosencephalyprenatal diagnosisspina bifidaultrasound

Identifiers

PMID36672099
PMCPMC9857041
OpenAlexW4313897812

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.