Prenatal Ultrasonography in the Diagnosis of Neurological Fetal Anomalies with Postnatal Confirmation

Background: Congenital anomalies affecting the central nervous system are among the most prevalent. The most common central nervous system anomalies are neural tube defects, which affect roughly 1-2 of every 1000 newborns. Objectives: We detect the accuracy of ultrasound to diagnose CNS abnormalitie...

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Bibliographic Details
Published in:	SVU - International Journal of Medical Sciences (Online) Vol. 7; no. 2; pp. 273 - 289
Main Authors:	Galal, Ahmed T., Sayed, Sayed A., Abd-El-Gaffar, Hazem M.M ., Sadk, Abd-El-Raheem Abd Rabo, Elsayed, Bothyna Z.
Format:	Journal Article
Language:	English
Published:	South Valley University, Faculty of Medicine 01-07-2024
Subjects:	ultrasonography neurological anomalies
Online Access:	Get full text
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Summary:	Background: Congenital anomalies affecting the central nervous system are among the most prevalent. The most common central nervous system anomalies are neural tube defects, which affect roughly 1-2 of every 1000 newborns. Objectives: We detect the accuracy of ultrasound to diagnose CNS abnormalities. Patients and methods: Descriptive cross-sectional study on 567 patients coming for antenatal care at Sohag Governorate undergoing mid anatomical scan between September 2021 and December 2022. After getting approval from the ethical committee at Sohag University and written consent from each woman. Clinical or post-natal neuroimaging using computed tomography or magnetic resonance imaging validated the prenatal diagnosis in situations where pregnancy progressed and the fetus survived. The total number of miscarriages, stillbirths, and infant deaths was recorded. Results: Diagnostic accuracy of ultrasound in diagnosis of congenital neurological Anomalies: 2D&3D US had 100% sensitivity and100% specificity with positive predictive value 100% and negative predictive value 100% in all parameters. Conclusions: Based on these findings, we can say that ultrasonography is useful for detecting and diagnosing some defects of the fetal central nervous system.
ISSN:	2636-3402 2735-427X 2636-3402
DOI:	10.21608/svuijm.2023.228264.1640