EVALUATION OF FETAL CNS ANOMALIES IN SECOND TRIMESTER BY ULTRASOUND
DR. BIDYUT JYOTI RAVA
, DR. YOGENDRA P SACHDEV , DR. AISHWARYA DESHMUKH
CNS anomalies, prenatal ultrasound, second trimester
Background: Congenital anomalies of the fetal central nervous system (CNS) significantly impact perinatal outcomes. Early prenatal detection via ultrasound is critical for management and parental counseling.
Methods: A prospective observational study of 100 pregnant women between 18-24 weeks gestation was conducted using 2D ultrasound. Anomalies identified prenatally were compared to postnatal clinical and imaging outcomes. Diagnostic accuracy was statistically analyzed.
Results: CNS anomalies were detected in 18% (18 cases) of pregnancies. The mean gestational age at diagnosis was 22.5 weeks. The most frequently identified anomalies were hydrocephalus (38.9%), anencephaly (27.8%), encephalocele (22.2%), and Dandy-Walker syndrome (11.1%). Prenatal ultrasonography achieved a high accuracy rate of 99.4% in identifying CNS anomalies.
Conclusion: Detailed evaluation of fetal CNS anomalies by ultrasound during the second trimester is highly effective, facilitating early detection of severe abnormalities. Ultrasonography remains indispensable, allowing timely interventions and informed counseling, thereby potentially improving perinatal outcomes.
"EVALUATION OF FETAL CNS ANOMALIES IN SECOND TRIMESTER BY ULTRASOUND", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.10, Issue 3, page no.a678-a683, March-2025, Available :https://ijsdr.org/papers/IJSDR2503080.pdf
Volume 10
Issue 3,
March-2025
Pages : a678-a683
Paper Reg. ID: IJSDR_300903
Published Paper Id: IJSDR2503080
Downloads: 000153
Research Area: Humanities All
Country: LONI, RAHATA, MAHARASHTRA, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave