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Cited by 196

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Prenatal screening and diagnosis of neural tube defects

Cameron, Martin, Moran, Paul·2009·Prenatal Diagnosis

Abstract

This review article discusses prenatal screening and diagnosis of neural tube defects (NTD). High detection rates occur in countries operating ultrasound screening programmes because classical two‐dimensional ultrasound cranial signs (lemon shaped head, banana cerebellum, ventriculomegaly) are important diagnostic clues to the presence of spina bifida. Careful evaluation of both the spine and a search for other abnormalities is warranted. Important prognostic information for spina bifida relates to the lesion level, with a “watershed” between L3 and L4 marking a very high chance of being wheelchair bound with the higher lesions. Three‐dimensional ultrasound using multiplanar views can achieve diagnostic accuracy within one vertebral body in around 80% of patients. There are high rates of pregnancy termination for spina bifida in many European countries, but the use of new imagining techniques allow better prediction of outcome, and consequently a refinement of prenatal counselling. Copyright © 2009 John Wiley & Sons, Ltd.

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Metadata

Authors
Cameron, M., & Moran, P.
Venue
Prenatal Diagnosis
Publisher
Wiley
Published
2009-03-19
Volume
29
Issue
4
Pages
402-411
ISSN
  • 0197-3851 (ISSN-L)
  • 1097-0223
OpenAlex
W1971788694
Cited by
196
References
2
FWCI
13.59
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Prenatal screening and diagnosis of neural tube defects. https://app.cochat.ai/papers/10.1002/pd.2250
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Cameron, M., & Moran, P. (2009). Prenatal screening and diagnosis of neural tube defects. Prenatal Diagnosis. https://doi.org/10.1002/pd.2250

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.