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Abstract #0827

MRI-Based Quantitative Analysis of Placenta and Fetal Brain in SGA Pregnancies: Feasibility Insights

Bingqing Xia1, Taotao Sun1, Ling Jiang1, Zhaoxia Qian1, Feifei Qu2, Hongjiang Wei3,4, and Jiangjie Wu5
1Radiology, International Peace Maternity and Child Health Hospital, Shanghai, China, 2MR Research Collaboration, Siemens Healthineers, Shanghai, China, 3School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 4The National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), Shanghai Jiao Tong University, Shanghai, China, 5the School of Information Science and Technology, ShanghaiTech University, Shanghai, China

Synopsis

Keywords: Prenatal, Prenatal

Motivation: Understanding placental dysfunction's role in small-for-gestational-age (SGA) fetal neurodevelopment is crucial; this study seeks to fill that gap, enhancing prenatal care.

Goal(s): The primary goal is to assess whether MRI can effectively quantify the relationship between placental function and fetal brain development in SGA pregnancies.

Approach: The study used IVIM, and T2* mapping to evaluate placental and fetal brain development, applying Pearson correlation and t tests for comparative analysis.

Results: Significant differences in placental perfusion and cortical properties between control and SGA groups were reported, demonstrating the feasibility of using MRI for in-utero assessment.

Impact: This study’s MRI approach could change prenatal care, allowing earlier detection of small-for-gestational age–related brain development issues, prompting interventions, and guiding research into neurodevelopmental support for affected neonates, with potential long-term cognitive benefits.

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