Additive Effect of Fetal Magnetic Resonance Imaging to Prenatal Ultrasonography in Fetal Congenital Anomalies
DOI:
https://doi.org/10.21613/GORM.2023.1438Keywords:
Fetal anomaly, Fetal magnetic resonance imaging , Fetal ultrasonography , FetusAbstract
OBJECTIVES: In this study, we aimed to assess the diagnostic accuracy of prenatal Ultrasonography (USG) and Magnetic Resonance Imaging (MRI) in fetal congenital anomalies.
STUDY DESIGN: A retrospective cross-sectional analysis was conducted on 148 patients who had previously undergone prenatal MRI between January 2013 and May 2023. A total of 185 anomalies in 148 fetuses were evaluated using USG and MRI. The prenatal diagnoses were compared with definitive diagnoses and were classified as diagnosed, partially correct, questionable, or undiagnosed. In addition, USG and MRI findings were compared in terms of their consistency and consolidation.
RESULTS: The postnatal evaluation revealed a total of 185 anomalies in 148 fetuses. USG diagnosed 94% of these anomalies, while MRI diagnosed 95.1% of them. Both USG and fetal MRI were able to diagnose 91.9% (n=170) of anomalies during the prenatal period. Fetal MRI provided an additional contribution to USG in the diagnosis of six anomalies (3.24%).
CONCLUSION: In fetuses undergoing detailed ultrasonography and specialized neurosonography by experienced professionals, additional fetal anomalies exclusively detected through MRI are now found to be lower than previously documented. However, fetal MRI is presently employed to offer supplementary information, and advice, and assist in clinical decision-making. In the future, extensive prospective studies with standardized protocols for ultrasound imaging of the fetal brain are necessary to better understand the true role of fetal MRI in cases where fetal neurosonography has already been performed.
Downloads
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Emine Kirtis, Gul Alkan Bulbul, Hulya Kandemir, Cem Yasar Sanhal, Kamil Karaali, Ibrahim Inanc Mendilcioglu
This work is licensed under a Creative Commons Attribution 4.0 International License.
All the articles published in GORM are licensed with "Creative Commons Attribution 4.0 License (CC BY 4.0)". This license entitles all parties to copy, share and redistribute all the articles, data sets, figures and supplementary files published in this journal in data mining, search engines, web sites, blogs and other digital platforms under the condition of providing references.