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Fetal magnetic resonance imaging in the diagnosis of spinal cord neural tube defects: A prospective study
OBJECTIVE: This study aimed to evaluate the value of fetal magnetic resonance imaging (MRI) in the prenatal diagnosis of spinal neural tube defects. METHODS: From August 2018 to January 2021, 56 fetuses with suspected spinal cord neural tube defects were treated by prenatal ultrasound in the Neurosu...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9393549/ https://www.ncbi.nlm.nih.gov/pubmed/36003299 http://dx.doi.org/10.3389/fneur.2022.944666 |
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author | Gao, Gan Tao, Benzhang Chen, Yanyan Yang, Jiaqi Sun, Mengchun Wang, Hui Hao, Fangbin Liu, Simeng Wang, Minjie Shang, Aijia |
author_facet | Gao, Gan Tao, Benzhang Chen, Yanyan Yang, Jiaqi Sun, Mengchun Wang, Hui Hao, Fangbin Liu, Simeng Wang, Minjie Shang, Aijia |
author_sort | Gao, Gan |
collection | PubMed |
description | OBJECTIVE: This study aimed to evaluate the value of fetal magnetic resonance imaging (MRI) in the prenatal diagnosis of spinal neural tube defects. METHODS: From August 2018 to January 2021, 56 fetuses with suspected spinal cord neural tube defects were treated by prenatal ultrasound in the Neurosurgery Department of the First Medical Center of the People's Liberation Army General Hospital. Fetal MRI was performed within 72 h after ultrasound diagnosis. Forty singleton fetuses were selected. Magnetic resonance examination was performed within 1 month after birth, and the diagnostic coincidence rates of prenatal ultrasound and fetal magnetic resonance examination in the prenatal diagnosis of spinal cord neural tube defects were compared and analyzed using postnatal magnetic resonance examination as the standard. RESULTS: The coincidence rates of prenatal ultrasound and fetal MRI for the prenatal diagnosis of spina bifida were 71.4% (20/28) and 39.2% (11/28), respectively, and the difference was statistically significant. The coincidence rates of prenatal ultrasound and fetal MRI in the diagnosis of intraspinal lipoma were 52.6% (10/19) and 73.7% (14/19), respectively, and the difference was statistically significant. CONCLUSION: Fetal MRI has an advantage over prenatal ultrasound in detecting intraspinal lipoma. Prenatal ultrasound has an advantage over fetal MRI in detecting spina bifida. |
format | Online Article Text |
id | pubmed-9393549 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93935492022-08-23 Fetal magnetic resonance imaging in the diagnosis of spinal cord neural tube defects: A prospective study Gao, Gan Tao, Benzhang Chen, Yanyan Yang, Jiaqi Sun, Mengchun Wang, Hui Hao, Fangbin Liu, Simeng Wang, Minjie Shang, Aijia Front Neurol Neurology OBJECTIVE: This study aimed to evaluate the value of fetal magnetic resonance imaging (MRI) in the prenatal diagnosis of spinal neural tube defects. METHODS: From August 2018 to January 2021, 56 fetuses with suspected spinal cord neural tube defects were treated by prenatal ultrasound in the Neurosurgery Department of the First Medical Center of the People's Liberation Army General Hospital. Fetal MRI was performed within 72 h after ultrasound diagnosis. Forty singleton fetuses were selected. Magnetic resonance examination was performed within 1 month after birth, and the diagnostic coincidence rates of prenatal ultrasound and fetal magnetic resonance examination in the prenatal diagnosis of spinal cord neural tube defects were compared and analyzed using postnatal magnetic resonance examination as the standard. RESULTS: The coincidence rates of prenatal ultrasound and fetal MRI for the prenatal diagnosis of spina bifida were 71.4% (20/28) and 39.2% (11/28), respectively, and the difference was statistically significant. The coincidence rates of prenatal ultrasound and fetal MRI in the diagnosis of intraspinal lipoma were 52.6% (10/19) and 73.7% (14/19), respectively, and the difference was statistically significant. CONCLUSION: Fetal MRI has an advantage over prenatal ultrasound in detecting intraspinal lipoma. Prenatal ultrasound has an advantage over fetal MRI in detecting spina bifida. Frontiers Media S.A. 2022-08-08 /pmc/articles/PMC9393549/ /pubmed/36003299 http://dx.doi.org/10.3389/fneur.2022.944666 Text en Copyright © 2022 Gao, Tao, Chen, Yang, Sun, Wang, Hao, Liu, Wang and Shang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Gao, Gan Tao, Benzhang Chen, Yanyan Yang, Jiaqi Sun, Mengchun Wang, Hui Hao, Fangbin Liu, Simeng Wang, Minjie Shang, Aijia Fetal magnetic resonance imaging in the diagnosis of spinal cord neural tube defects: A prospective study |
title | Fetal magnetic resonance imaging in the diagnosis of spinal cord neural tube defects: A prospective study |
title_full | Fetal magnetic resonance imaging in the diagnosis of spinal cord neural tube defects: A prospective study |
title_fullStr | Fetal magnetic resonance imaging in the diagnosis of spinal cord neural tube defects: A prospective study |
title_full_unstemmed | Fetal magnetic resonance imaging in the diagnosis of spinal cord neural tube defects: A prospective study |
title_short | Fetal magnetic resonance imaging in the diagnosis of spinal cord neural tube defects: A prospective study |
title_sort | fetal magnetic resonance imaging in the diagnosis of spinal cord neural tube defects: a prospective study |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9393549/ https://www.ncbi.nlm.nih.gov/pubmed/36003299 http://dx.doi.org/10.3389/fneur.2022.944666 |
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