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Fetal midline anomalies: Diagnosis and counselling Part 1: Corpus callosum anomalies.

Leombroni, M; Khalil, A; Liberati, M; D'Antonio, F (2018) Fetal midline anomalies: Diagnosis and counselling Part 1: Corpus callosum anomalies. Eur J Paediatr Neurol, 22 (6). pp. 951-962. ISSN 1532-2130 https://doi.org/10.1016/j.ejpn.2018.08.007
SGUL Authors: Khalil, Asma

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Abstract

Midline anomalies encompasses a heterogeneous group of conditions caused by an abnormal process of ventral induction after the end of primary neurulation. Advances in prenatal imaging techniques have led to an increase in the detection rate of such anomalies since the first trimester of pregnancy although a significant proportion of them remain undiagnosed until birth. Ultrasound is the primary technique in detecting such anomalies while fetal magnetic resonance imaging (MRI) is commonly performed to confirm the diagnosis and detect additional anomalies, especially those involving the cortical surface of the brain, which may potentially impact post-natal outcome. Neurodevelopmental outcome of cerebral anomalies involving the midline is directly related to the type of anomaly, cause and presence of associated anomalies. However, even in case of isolated anomalies prenatal counselling is challenging. The aim of this review is to provide an up to date on the diagnosis, counselling and management of the most common supra-tentorial anomalies involving the midline and diagnosed on prenatal ultrasound.

Item Type: Article
Additional Information: © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Keywords: 1109 Neurosciences, 1114 Paediatrics And Reproductive Medicine, 1103 Clinical Sciences, Neurology & Neurosurgery
SGUL Research Institute / Research Centre: Academic Structure > Molecular and Clinical Sciences Research Institute (MCS)
Journal or Publication Title: Eur J Paediatr Neurol
ISSN: 1532-2130
Language: eng
Dates:
DateEvent
November 2018Published
21 October 2018Published Online
27 August 2018Accepted
PubMed ID: 30448279
Go to PubMed abstract
URI: http://sgultest.da.ulcc.ac.uk/id/eprint/110560
Publisher's version: https://doi.org/10.1016/j.ejpn.2018.08.007

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