Evidence map›Paper›PMID 42769637›Full record

ArticleFrontiers in neuroscience2026

Quantitative assessment of brain sparing effect in fetal growth restriction: structural evidence from fetal MRI.

Jida Wang, Weizeng Zheng, Yuehong Cheng, Meixiang Deng, Kui Li, Xiaomin Liu, Zhuying Chen

Abstract read
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Article in Frontiers in neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jida WangDepartment of Radiology, Women's Hospital School of Medicine Zhejiang University, Zhejiang Provincial Clinical Research Center for Obstetrics and Gynecology, Hangzhou, Zhejiang, China.
Weizeng ZhengDepartment of Radiology, Women's Hospital School of Medicine Zhejiang University, Zhejiang Provincial Clinical Research Center for Obstetrics and Gynecology, Hangzhou, Zhejiang, China.
Yuehong ChengDepartment of Radiology, Women's Hospital School of Medicine Zhejiang University, Zhejiang Provincial Clinical Research Center for Obstetrics and Gynecology, Hangzhou, Zhejiang, China.
Meixiang DengDepartment of Radiology, Women's Hospital School of Medicine Zhejiang University, Zhejiang Provincial Clinical Research Center for Obstetrics and Gynecology, Hangzhou, Zhejiang, China.
Kui LiDepartment of Radiology, Women's Hospital School of Medicine Zhejiang University, Zhejiang Provincial Clinical Research Center for Obstetrics and Gynecology, Hangzhou, Zhejiang, China.
Xiaomin LiuDepartment of Radiology, Women's Hospital School of Medicine Zhejiang University, Zhejiang Provincial Clinical Research Center for Obstetrics and Gynecology, Hangzhou, Zhejiang, China.
Zhuying ChenDepartment of Radiology, Women's Hospital School of Medicine Zhejiang University, Zhejiang Provincial Clinical Research Center for Obstetrics and Gynecology, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To differentiate brain-sparing patterns in fetal growth restriction (FGR) versus small-for-gestational-age (SGA) fetuses using MRI volumetry. Methods: This retrospective study analyzed whole-body MRI data from 378 fetuses (28-40 weeks' gestation) collected between 2018 and 2025, comprising 308 normal controls, 31 SGA, and 39 FGR cases. Fetal body and brain volumes were segmented using a nnU-Net model. Adjusted linear regression models analyzed growth trajectories of body volume, brain volume, and the brain-to-body volume ratio. Diagnostic performance was evaluated using the area under the curve (AUC). Results: SGA fetuses exhibited an 18.2% lower body growth rate than controls (156.1 vs. 190.9 mL/week) but comparable brain growth, indicating preserved brain-sparing. Conversely, FGR fetuses showed significant reductions in both brain (-18.4%) and body (-15.8%) growth rates. Consequently, the brain-to-body volume ratio decreased rapidly in FGR (-0.005/week vs. -0.002/week in controls), signaling a failure of the brain-sparing mechanism. The ratio model achieved AUCs of 0.989 (Normal vs. FGR), 0.94 (Normal vs. SGA), and 0.883 (SGA vs. FGR). Conclusion: SGA is characterized by restricted body growth with relative brain preservation, confirming active brain-sparing. FGR involves significant global restriction and a disproportionately decreasing volume ratio, signifying a breakdown of this mechanism. The brain-to-body volume ratio is a sensitive biomarker for distinguishing these distinct adaptive patterns.

Indexed as

fetal brain sparingfetal growth restrictionfetal MRIsmall for gestational agevolume ratio

Identifiers

PMID42769637
PMCPMC13592097

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.