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Prenatal Ultrasound-Detected Structural Anomalies Associated with Autism Spectrum Disorder: A Narrative Review
Prenatal ultrasound may help identify early Autism Spectrum Disorder (ASD) risk by detecting fetal anomalies. However, these markers are not specific and require integration with other data for accurate diagnosis.
Area of Science:
- Neurodevelopmental Disorders
- Medical Imaging
- Biomarkers
Background:
- Autism Spectrum Disorder (ASD) prevalence is rising globally, necessitating earlier detection for effective intervention.
- Current diagnostic methods for ASD often lead to delays in identification.
- Prenatal ultrasound-detectable anomalies are being explored as potential early predictors for ASD.
Purpose of the Study:
- To review and synthesize existing research on prenatal ultrasound findings associated with Autism Spectrum Disorder.
- To evaluate the potential of these anomalies as early indicators for ASD risk.
Main Methods:
- A comprehensive literature search was performed in PubMed, Scopus, and Google Scholar (2007-2025).
- Keywords included "autism spectrum disorder", "prenatal ultrasound", "fetal anomalies", and "biomarkers".
- Systematic reviews and large cohort studies were prioritized, with findings summarized narratively.
Main Results:
- Associations were found between ASD and anomalies like ventriculomegaly, increased biparietal diameter, hyperechogenic kidneys, and congenital heart defects.
- These findings are not exclusive to ASD and exhibit inconsistent predictive accuracy.
- Wide variations in sensitivity and specificity were noted, alongside ethical considerations.
Conclusions:
- Prenatal ultrasound shows promise for early ASD risk identification but is insufficient for standalone diagnosis.
- Integration with genetic and postnatal data, standardized protocols, and further research are crucial.
- Improved predictive value and clinical utility necessitate a multi-faceted approach.
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