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First Trimester Ultrasound Detection of Fetal Central Nervous System Anomalies
Objective: To 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-trimeste...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857041/ https://www.ncbi.nlm.nih.gov/pubmed/36672099 http://dx.doi.org/10.3390/brainsci13010118 |
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author | Ungureanu, Delia Roxana Drăgușin, Roxana Cristina Căpitănescu, Răzvan Grigoraș Zorilă, Lucian Ofițeru, Anca Maria Istrate Marinaș, Cristian Pătru, Ciprian Laurențiu Comănescu, Alexandru Cristian Comănescu, Maria Cristina Sîrbu, Ovidiu Costinel Vrabie, Maria-Sidonia Dijmărescu, Lorena Anda Streață, Ioana Burada, Florin Ioana, Mihai Drăgoescu, Alice Nicoleta Iliescu, Dominic Gabriel |
author_facet | Ungureanu, Delia Roxana Drăgușin, Roxana Cristina Căpitănescu, Răzvan Grigoraș Zorilă, Lucian Ofițeru, Anca Maria Istrate Marinaș, Cristian Pătru, Ciprian Laurențiu Comănescu, Alexandru Cristian Comănescu, Maria Cristina Sîrbu, Ovidiu Costinel Vrabie, Maria-Sidonia Dijmărescu, Lorena Anda Streață, Ioana Burada, Florin Ioana, Mihai Drăgoescu, Alice Nicoleta Iliescu, Dominic Gabriel |
author_sort | Ungureanu, Delia Roxana |
collection | PubMed |
description | Objective: To 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. Results: We 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%. Conclusion: A 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. |
format | Online Article Text |
id | pubmed-9857041 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98570412023-01-21 First Trimester Ultrasound Detection of Fetal Central Nervous System Anomalies Ungureanu, Delia Roxana Drăgușin, Roxana Cristina Căpitănescu, Răzvan Grigoraș Zorilă, Lucian Ofițeru, Anca Maria Istrate Marinaș, Cristian Pătru, Ciprian Laurențiu Comănescu, Alexandru Cristian Comănescu, Maria Cristina Sîrbu, Ovidiu Costinel Vrabie, Maria-Sidonia Dijmărescu, Lorena Anda Streață, Ioana Burada, Florin Ioana, Mihai Drăgoescu, Alice Nicoleta Iliescu, Dominic Gabriel Brain Sci Article Objective: To 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. Results: We 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%. Conclusion: A 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. MDPI 2023-01-09 /pmc/articles/PMC9857041/ /pubmed/36672099 http://dx.doi.org/10.3390/brainsci13010118 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ungureanu, Delia Roxana Drăgușin, Roxana Cristina Căpitănescu, Răzvan Grigoraș Zorilă, Lucian Ofițeru, Anca Maria Istrate Marinaș, Cristian Pătru, Ciprian Laurențiu Comănescu, Alexandru Cristian Comănescu, Maria Cristina Sîrbu, Ovidiu Costinel Vrabie, Maria-Sidonia Dijmărescu, Lorena Anda Streață, Ioana Burada, Florin Ioana, Mihai Drăgoescu, Alice Nicoleta Iliescu, Dominic Gabriel First Trimester Ultrasound Detection of Fetal Central Nervous System Anomalies |
title | First Trimester Ultrasound Detection of Fetal Central Nervous System Anomalies |
title_full | First Trimester Ultrasound Detection of Fetal Central Nervous System Anomalies |
title_fullStr | First Trimester Ultrasound Detection of Fetal Central Nervous System Anomalies |
title_full_unstemmed | First Trimester Ultrasound Detection of Fetal Central Nervous System Anomalies |
title_short | First Trimester Ultrasound Detection of Fetal Central Nervous System Anomalies |
title_sort | first trimester ultrasound detection of fetal central nervous system anomalies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857041/ https://www.ncbi.nlm.nih.gov/pubmed/36672099 http://dx.doi.org/10.3390/brainsci13010118 |
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