Abstract
The aim of this study was to assess the capabilities of prenatal neurosonography in detecting abnormalities of brain structures in fetuses with congenital heart defects (CHD) in comparison with standard ultrasound examination.
Material and methods.In the research 228 patients with fetal CHD were examined at a gestational age of 18–40 weeks at the Perinatal Cardiology Center of Bakoulev National Medical Research Center for Cardiovascular Surgery and National Medical Research Center for Obstetrics, Gynecology and Perinatology named after academician V.I. Kulakov in 2018–2020.
Results. Brain abnormalities were detected in 36 (15.7%) fetuses and included: 8 cases of ventriculomegaly, 1 case of agenesis of the corpus callosum, 1 case of Dandy–Walker malformation and 1 case of Chiari malformation type 2, 10 cases of dysgenesis or hypoplasia of the corpus callosum, 8 cases hypoplasia of the cerebellar vermis, 3 cases of a combination of the last two anomalies, 1 case of a combination of sulcation anomaly with hypoplasia of the corpus callosum and 3 cases of subependymal pseudocysts. In standard axial brain planes, pathological ultrasound signs were observed only in 11 (30.6%) out of 36 cases. Most of the abnormalities (25/36 or 69.4%) were detected using multiplanar neurosonography (p < 0.0001).
Conclusion. Cases with fetal CHD are at increased risk for associated brain abnormalities. It is necessary to introduce multiplanar prenatal neurosonography into clinical standards for cases with fetal CHD in Russia.
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About the authors
- Tamara A. Yarygina, Ultrasound Diagnostician, ORCID
- Rena M. Gasanova, Dr. Med. Sc., Head of the Perinatal Cardiocenter, Cardiologist, Ultrasound Diagnostician, ORCID
- Elena I. Leonova, Ultrasound Diagnostician, ORCID
- Ol’ga V. Marzoeva, Cand. Med. Sc., Researcher, Ultrasound Diagnostician, ORCID
- Elena V. Sypchenko, Cand. Med. Sc., Ultrasound Diagnostician, ORCID
- Oksana V. Talolina, Ultrasound Diagnostician, ORCID
- Aleksandr I. Gus, Dr. Med. Sc., Professor, Head of Department, ORCID
