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Comprehensive quantitative analyses of fetal magnetic resonance imaging in isolated cerebral ventriculomegaly
Isolated cerebral ventriculomegaly (IVM) is the most common prenatally diagnosed brain anomaly occurs in 0.2–1 % of pregnancies. However, knowledge of fetal brain development in IVM is limited. There is no prenatal predictor for IVM to estimate individual risk of neurodevelopmental disability occurs...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9999203/ https://www.ncbi.nlm.nih.gov/pubmed/36878148 http://dx.doi.org/10.1016/j.nicl.2023.103357 |
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author | Tarui, Tomo Madan, Neel Graham, George Kitano, Rie Akiyama, Shizuko Takeoka, Emiko Reid, Sophie Yun, Hyuk Jin Craig, Alexa Samura, Osamu Grant, Ellen Im, Kiho |
author_facet | Tarui, Tomo Madan, Neel Graham, George Kitano, Rie Akiyama, Shizuko Takeoka, Emiko Reid, Sophie Yun, Hyuk Jin Craig, Alexa Samura, Osamu Grant, Ellen Im, Kiho |
author_sort | Tarui, Tomo |
collection | PubMed |
description | Isolated cerebral ventriculomegaly (IVM) is the most common prenatally diagnosed brain anomaly occurs in 0.2–1 % of pregnancies. However, knowledge of fetal brain development in IVM is limited. There is no prenatal predictor for IVM to estimate individual risk of neurodevelopmental disability occurs in 10 % of children. To characterize brain development in fetuses with IVM and delineate their individual neuroanatomical variances, we performed comprehensive post-acquisition quantitative analysis of fetal magnetic resonance imaging (MRI). In volumetric analysis, brain MRI of fetuses with IVM (n = 20, 27.0 ± 4.6 weeks of gestation, mean ± SD) had revealed significantly increased volume in the whole brain, cortical plate, subcortical parenchyma, and cerebrum compared to the typically developing fetuses (controls, n = 28, 26.3 ± 5.0). In the cerebral sulcal developmental pattern analysis, fetuses with IVM had altered sulcal positional (both hemispheres) development and combined features of sulcal positional, depth, basin area, in both hemispheres compared to the controls. When comparing distribution of similarity index of individual fetuses, IVM group had shifted toward to lower values compared to the control. About 30 % of fetuses with IVM had no overlap with the distribution of control fetuses. This proof-of-concept study shows that quantitative analysis of fetal MRI can detect emerging subtle neuroanatomical abnormalities in fetuses with IVM and their individual variations. |
format | Online Article Text |
id | pubmed-9999203 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-99992032023-03-11 Comprehensive quantitative analyses of fetal magnetic resonance imaging in isolated cerebral ventriculomegaly Tarui, Tomo Madan, Neel Graham, George Kitano, Rie Akiyama, Shizuko Takeoka, Emiko Reid, Sophie Yun, Hyuk Jin Craig, Alexa Samura, Osamu Grant, Ellen Im, Kiho Neuroimage Clin Regular Article Isolated cerebral ventriculomegaly (IVM) is the most common prenatally diagnosed brain anomaly occurs in 0.2–1 % of pregnancies. However, knowledge of fetal brain development in IVM is limited. There is no prenatal predictor for IVM to estimate individual risk of neurodevelopmental disability occurs in 10 % of children. To characterize brain development in fetuses with IVM and delineate their individual neuroanatomical variances, we performed comprehensive post-acquisition quantitative analysis of fetal magnetic resonance imaging (MRI). In volumetric analysis, brain MRI of fetuses with IVM (n = 20, 27.0 ± 4.6 weeks of gestation, mean ± SD) had revealed significantly increased volume in the whole brain, cortical plate, subcortical parenchyma, and cerebrum compared to the typically developing fetuses (controls, n = 28, 26.3 ± 5.0). In the cerebral sulcal developmental pattern analysis, fetuses with IVM had altered sulcal positional (both hemispheres) development and combined features of sulcal positional, depth, basin area, in both hemispheres compared to the controls. When comparing distribution of similarity index of individual fetuses, IVM group had shifted toward to lower values compared to the control. About 30 % of fetuses with IVM had no overlap with the distribution of control fetuses. This proof-of-concept study shows that quantitative analysis of fetal MRI can detect emerging subtle neuroanatomical abnormalities in fetuses with IVM and their individual variations. Elsevier 2023-02-24 /pmc/articles/PMC9999203/ /pubmed/36878148 http://dx.doi.org/10.1016/j.nicl.2023.103357 Text en © 2023 Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Regular Article Tarui, Tomo Madan, Neel Graham, George Kitano, Rie Akiyama, Shizuko Takeoka, Emiko Reid, Sophie Yun, Hyuk Jin Craig, Alexa Samura, Osamu Grant, Ellen Im, Kiho Comprehensive quantitative analyses of fetal magnetic resonance imaging in isolated cerebral ventriculomegaly |
title | Comprehensive quantitative analyses of fetal magnetic resonance imaging in isolated cerebral ventriculomegaly |
title_full | Comprehensive quantitative analyses of fetal magnetic resonance imaging in isolated cerebral ventriculomegaly |
title_fullStr | Comprehensive quantitative analyses of fetal magnetic resonance imaging in isolated cerebral ventriculomegaly |
title_full_unstemmed | Comprehensive quantitative analyses of fetal magnetic resonance imaging in isolated cerebral ventriculomegaly |
title_short | Comprehensive quantitative analyses of fetal magnetic resonance imaging in isolated cerebral ventriculomegaly |
title_sort | comprehensive quantitative analyses of fetal magnetic resonance imaging in isolated cerebral ventriculomegaly |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9999203/ https://www.ncbi.nlm.nih.gov/pubmed/36878148 http://dx.doi.org/10.1016/j.nicl.2023.103357 |
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