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Review presents a structured algorithmic framework for detecting thoracic abnormalities in fetuses, emphasizing early detection for effective management.
Noncardiac thoracic abnormalities constitute an important category of congenital anomalies, which can be picked up during antenatal imaging. With improvements in the hardware and software, dedicated training, and super specialization in fetal medicine, the detection rate of congenital anomalies has vastly improved. Early detection is of paramount importance for planning appropriate management. This review aims to provide a structured algorithmic framework in the approach to antenatal noncardiac thoracic abnormalities based on thoracic volume changes providing a more practical diagnostic approach for those involved in fetal imaging.
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Gulati et al. (2026) studied this question.
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