3D/4D ULTRASOUND AND FETAL MRI: NEW OPPORTUNITIES IN DETECTING ANOMALIES IN PREGNANCY
DOI:
https://doi.org/10.5281/zenodo.20610320Keywords:
3D/4D ultrasound, fetal MRI, congenital anomalies, artificial intelligence, prenatal diagnosis, STIC technology.Abstract
Early and accurate detection of congenital anomalies during pregnancy is one of the most pressing issues in obstetrics and neonatology. This article analyzes the latest studies published in 2024-2026 and compares the diagnostic efficiency of 3D/4D ultrasound and fetal magnetic resonance imaging (MRI). 3D/4D ultrasound has an accuracy of 85-92% in real-time assessment of heart defects, facial expressions, and fetal growth status, and provides significant results in predicting brain development using artificial intelligence. Fetal MRI, on the other hand, provides 19-25% additional diagnostic information, especially in central nervous system anomalies, and has proven to be safe up to 3T.References
Meijerink, L., Wyburd, M., Namburete, A. I. L., Alderliesten, T., Groenendaal, F., Benders, M., Terstappen, F., & Bekker, M. N. (2026). Deep learning assessment of fetal brain maturation on 3D ultrasound volumes in early‐onset fetal growth restriction. Ultrasound in Obstetrics & Gynecology, 67(3), 341–349. https://doi.org/10.1002/uog.70168
Akyel, N. G., Ozgul, H., Birinci, A. O., & Arslanoglu, T. (2025). Fetal Congenital Anomalies: Multi-Regional Magnetic Resonance Imaging Evaluation with Prenatal Ultrasound Corerlation. Turkish Archives of Pediatrics, 60(6), 599–607. https://doi.org/10.5152/TurkArchPediatr.2025.25170
Puris, G., Chetrit, A., & Katorza, E. (2025). Fetal Safety in MRI During Pregnancy: A Comprehensive Review. Diagnostics, 15(2), 208. https://doi.org/10.3390/diagnostics15020208
Bravo-Valenzuela, N. J., Giffoni, M. C., Nieblas, C. D. O., Werner, H., Tonni, G., Granese, R., Gonçalves, L. F., & Araujo Júnior, E. (2024). Three-Dimensional Ultrasound for Physical and Virtual Fetal Heart Models: Current Status and Future Perspectives. Journal of Clinical Medicine, 13(24), 7605. https://doi.org/10.3390/jcm13247605
Ramdial, R., MacNamara, M. A., Moldrich, R., Colditz, P. B., & Wixey, J. A. (2026). Neonatal brain MRI to prognosticate neurodevelopmental outcomes in fetal growth restricted infants: A systematic review. Frontiers in Pediatrics, 13, 1681205. https://doi.org/10.3389/fped.2025.1681205
Yeganegi, M., Danaei, M., Azizi, S., Jayervand, F., Bahrami, R., Dastgheib, S. A., Rashnavadi, H., Masoudi, A., Shiri, A., Aghili, K., Noorishadkam, M., & Neamatzadeh, H. (2025). Research advancements in the Use of artificial intelligence for prenatal diagnosis of neural tube defects. Frontiers in Pediatrics, 13, 1514447. https://doi.org/10.3389/fped.2025.1514447
Di Stefano, M., Ciceri, T., Leemans, A., De Zwarte, S. M. C., De Luca, A., & Peruzzo, D. (2025). Diffusion MRI of the prenatal fetal brain: A methodological scoping review. NeuroImage, 320, 121453. https://doi.org/10.1016/j.neuroimage.2025.121453
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