White matter changes in intrauterine fetal brain with mild to moderate isolated ventriculomegaly based on diffusion magnetic resonance imaging.

Motivation: There is a controversial argue about the prognosis of fetuses with isolated ventriculomegaly in clinical practice. Goal(s): Application of diffusion Magnetic Resonance Imaging (dMRI) in fetuses with isolated ventriculomegaly to explore structure changes of white matter fibers. Approach: Collecting brain dMRI data in isolated ventriculomegaly and healthy fetuses, analyzing differences in white matter structure between the two groups using diffusion tensor imaging (DTI) and fixel based analysis (FBA) methods. Results: Significant differences were found in DTI or FBA parameters of white matter fibers including the inferior longitudinal fasciculus, corpus callosum, fornix, sagittal stratum and corticospinal tract between the two groups. Impact: There are changes in the brain white matter structure in intrauterine fetuses with isolated ventriculomegaly, which provides a certain objective basis for potential risks of neurodevelopmental disorders and prenatal counseling.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/2067
Primary Topic
Fetal and Pediatric Neurological Disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

White matter changes in intrauterine fetal brain with mild to moderate isolated ventriculomegaly based on diffusion magnetic resonance imaging.

Ruoling Chen, Guangbin Wang, Dan Wu, Cong Sun et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Fetal and Pediatric Neurological Disorders
article

White matter changes in intrauterine fetal brain with mild to moderate isolated ventriculomegaly based on diffusion magnetic resonance imaging.

Ruoling Chen, Guangbin Wang, Dan Wu, Cong Sun, Feier Ding, Chao Zhang
article en

Abstract

Motivation: There is a controversial argue about the prognosis of fetuses with isolated ventriculomegaly in clinical practice. Goal(s): Application of diffusion Magnetic Resonance Imaging (dMRI) in fetuses with isolated ventriculomegaly to explore structure changes of white matter fibers. Approach: Collecting brain dMRI data in isolated ventriculomegaly and healthy fetuses, analyzing differences in white matter structure between the two groups using diffusion tensor imaging (DTI) and fixel based analysis (FBA) methods. Results: Significant differences were found in DTI or FBA parameters of white matter fibers including the inferior longitudinal fasciculus, corpus callosum, fornix, sagittal stratum and corticospinal tract between the two groups. Impact: There are changes in the brain white matter structure in intrauterine fetuses with isolated ventriculomegaly, which provides a certain objective basis for potential risks of neurodevelopmental disorders and prenatal counseling.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Good health and well-being
Openalex Percentile: Top 67%
Fetal and Pediatric Neurological Disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.