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Updated: Jan 22, 2026

High Frequency Ultrasound for the Analysis of Fetal and Placental Development In Vivo
Published on: November 8, 2018
Sylvian fissure angle development on fetal MRI: 22-38 gestational weeks
Yan Song1, Siyan Lu1, Hongyu Yin1
1Department of Radiology, Sichuan Provincial Woman's and Children's Hospital, The Affiliated Women's and Children's Hospital of Chengdu Medical College, Chengdu, Sichuan, China.
Fetal Sylvian fissure angle (SFA) development was quantified using MRI, establishing reference ranges and growth curves. This aids in accurate fetal brain assessment and identifying potential cortical malformations.
Area of Science:
- Neuroimaging
- Fetal Development
- Quantitative Anatomy
Background:
- The Sylvian fissure (SF) is a key landmark in fetal brain development.
- Accurate quantification of SF development is crucial for assessing neurodevelopmental abnormalities.
Purpose of the Study:
- To quantify Sylvian fissure angle (SFA) development during pregnancy using fetal MRI.
- To establish normative reference ranges and growth curves for SFAs.
- To provide a quantitative framework for detecting deviations indicative of cortical malformations.
Main Methods:
- Retrospective analysis of 324 fetal MRIs (22-38 weeks gestation).
- Measurement of six SFAs (SFPA, SFARA, SFPRA, SFSRA, SFIRA) in axial and coronal planes.
- Correlation analysis with gestational age and growth curve modeling.
- Validation using retrospective cortical malformation cases.
Main Results:
- High interobserver reliability for SFA measurements (ICC 0.772-0.976).
- Significant positive associations between SFARA, SFSRA and gestational age.
- Significant negative associations between SFPRA, SFIRA, SFPA and gestational age.
- Quadratic growth curve models demonstrated the best fit for SFA development.
- The model successfully identified cortical malformations.
Conclusions:
- Fetal MRI effectively evaluates dynamic SFA development.
- Established SFA reference ranges improve fetal brain assessment accuracy.
- Provides a quantitative tool for identifying deviations suggestive of cortical malformations.
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