Abstract #3791

A Comprehensive Cortical Analysis for Fetal Growth Restriction using High-resolution MRI

Shijie Huang¹, Lingnan Kong², Shuwei Bai^1,3, Zifeng Lian¹, Qi Xu⁴, Geng Chen⁵, Meng Zhao², and Dinggang Shen^1,6,7

¹School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China, ²Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China, ³Department of Neurology, The Second Affiliated Hospital of Xinjiang Medical University, Urumqi, China, ⁴Department of Ultrasound, Wenzhou Third Clinical Institute Affiliated to Wenzhou Medical University, Third Affiliated Hospital of Shanghai University, Wenzhou People’s Hospital, Wenzhou, China, ⁵National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, China, ⁶Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China, ⁷Shanghai Clinical Research and Trial Center, Shanghai, China

Synopsis

Keywords: Fetal, Brain, Fetal; Brain; Fetal Growth Restriction; Cortical

Motivation: Fetal Growth Restriction (FGR) is significant complication that affects approximately 30 million infants annually, with longlasting impacts on brain structure and function.

Goal(s): This study aims to advance the understanding of FGR and improve prognosis of affected populations through comprehensive cortical analysis.

Approach: We apply super-resolution reconstruction and segmentation algorithms to clinically-acquired fetal brain MR scans, and then reconstruct cortical surfaces and analyze cortical properties across 35 brain regions on 241 fetuses.

Results: FGR affects both brain hemispheres equally, with key cortical properties in thickness and sulcal depth. We have developed a regression model to effectively predict FGR using seven key brain regions.

Impact: This study analyzes fetal growth restriction (FGR) impacts on cortical development, identifying altered brain regions like the insula, cuneus, and rostral anterior cingulate, affecting sensory integration, cognition, and emotional regulation, and also highlighting areas of both vulnerability and resilience.

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