Purpose: To evaluate the additional diagnostic value of fetal Magnetic Resonance Imaging (MRI) in fetuses with suspected brain abnormalities identified with advanced neurosonography (NS).
Methods: A systematic literature search was performed for studies reporting on a comparison between diagnosis with NS and MRI, in fetuses suspected for brain abnormalities. Abnormalities detected on NS were compared with those detected on MRI as well as with postnatal imaging findings to assess the added value of fetal MRI.
Results: We included 27 articles, reporting on 1184 cases in which NS and MRI diagnosis were compared. In 65% of cases [773/1184] fetal NS and fetal MRI diagnosis agreed completely. In 23% [312/1184], MRI showed additional or different pathology. In 8% [99/1184], MRI rejected the NS diagnosis with normal brain as conclusion. For 454 cases a comparison with postnatal imaging could be made. Compared to the postnatal diagnosis, fetal MRI diagnosis agreed completely in 80% [364/454] and fetal NS in 54% [243/454] (difference 27%, 95% CI 21-33%). Additional abnormalities were found on postnatal imaging in 36% [164/454] after NS and in 14% [61/454] after fetal MRI.
Conclusions: This meta-analysis shows that fetal MRI in addition to NS improves diagnostic accuracy in detecting brain abnormalities.
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http://dx.doi.org/10.3109/14767058.2015.1109621 | DOI Listing |
Cureus
March 2025
Department of Midwifery, Faculty of Health and Caring Sciences, University of West Attica, Athens, GRC.
Artificial intelligence (AI) and machine learning (ML) are rapidly evolving technologies with significant implications in obstetrics and midwifery. This systematic review aims to evaluate the latest advancements in AI and ML applications in obstetrics and midwifery. A search was conducted in three electronic databases (PubMed, Scopus, and Web of Science) for studies published between January 1, 2022, and February 20, 2025, using keywords related to AI, ML, obstetrics, and midwifery.
View Article and Find Full Text PDFOphthalmic Genet
March 2025
W. K. Kellogg Eye Center, Department of Ophthalmology, University of Michigan, Ann Arbor, Michigan, USA.
Background: Neurofibromatosis is a neurocutaneous syndrome that predisposes individuals to a variety of tumors. In type 2, these typically do not present until early adulthood. We present a case of an unusual fundus lesion in neurofibromatosis type 2 (NF2) in a young child.
View Article and Find Full Text PDFMagn Reson Med
March 2025
Early Life Imaging Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Purpose: To provide real-time, organ-specific quantitative information - specifically placental and fetal brain T2 * - to optimize and personalize fetal MRI examinations.
Methods: A low-latency setup enables real-time processing, including segmentation, T2* fitting, and centile calculation. Two nnU-Nets were trained on 2 989 fetal brains, and 540 placental datasets for automatic segmentation.
Am J Case Rep
March 2025
Faculty of Medicine, University of Padjadjaran - Dr. Hasan Sadikin General Hospital, Bandung, West Java, Indonesia.
BACKGROUND The prevalence of female genital tract anomalies is around 4-6.9%. Vaginal agenesis is a form of Müllerian agenesis and defined as the congenital absence of the vagina.
View Article and Find Full Text PDFNeuroimage
March 2025
Department of Radiology, Boston Children's Hospital, USA; Harvard Medical School, USA.
Fetal brain imaging is essential for prenatal care, with ultrasound (US) and magnetic resonance imaging (MRI) providing complementary strengths. While MRI has superior soft tissue contrast, US offers portable and inexpensive screening of neurological abnormalities. Despite the great potential synergy of combined fetal brain US and MR imaging to enhance diagnostic accuracy, little effort has been made to integrate these modalities.
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