Evidence map›Paper›PMID 42032361›Full record

ArticleInsights into imaging2026

Quantitative MRI of lipid content for assessing fetal adipose tissue development and brown-to-white fat conversion.

Shuzhen Ma, Yuchen Liu, Chunran Yang, Hongbo Pu, Yangmei Pu, Zaihang Yin, Min Kang

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Article in Insights into imaging, 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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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Shuzhen Ma *Department of Radiology, Sichuan Provincial Woman's and Children's Hospital, Chengdu, Sichuan, China.
Yuchen Liu *GE HealthCare MR Research, Beijing, China.
Chunran YangDepartment of Radiology, Sichuan Provincial Woman's and Children's Hospital, Chengdu, Sichuan, China.
Hongbo PuDepartment of Radiology, Sichuan Provincial Woman's and Children's Hospital, Chengdu, Sichuan, China.
Yangmei PuDepartment of Radiology, Sichuan Provincial Woman's and Children's Hospital, Chengdu, Sichuan, China.
Zaihang YinDepartment of Radiology, Sichuan Provincial Woman's and Children's Hospital, Chengdu, Sichuan, China.
Min KangDepartment of Radiology, Sichuan Provincial Woman's and Children's Hospital, Chengdu, Sichuan, China. 1073297610@qq.com.ORCID http://orcid.org/0009-0007-9957-4758

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveBrown and white adipose tissues in different fetal regions undergo distinct developmental processes. This study aimed to quantitatively evaluate the fetal adipose tissue development of singleton fetuses. MATERIALS AND

methodsA total of 78 participants were recruited, of whom 42 participants were included in the statistical analyses. Multi-echo water-fat separation (IDEAL-IQ) was performed, and proton density fat fraction (PDFF) and apparent transverse relaxation rate (R2*) values were measured for multiple anatomical regions, including cheeks, occiput, underjaw, neck, back, thorax, abdomen, and thighs. Correlations with gestational age were analyzed, and analysis of covariance (ANCOVA) was conducted by grouping participants into early (28-31 GW), mid (32-34 GW), and late (35-38 GW) gestational stages.

resultsPDFF values in all fetal regions showed significant positive correlations with gestational age (p < 0.05). R2* values demonstrated region-specific patterns: no significant correlation was found for the back, while the cheeks showed a negative correlation; other regions showed significant correlations (p < 0.05). ANCOVA revealed significant differences in PDFF and R2* values across multiple regions among the early, mid, and late gestational groups (p < 0.01), indicating distinct stage- and region-specific characteristics of fetal fat deposition and iron metabolism.

conclusionThis study demonstrated that fetal PDFF increases globally with GW, while regional R2* patterns may reflect aspects of metabolic maturation. A change in R2* around approximately 32 weeks in the fetal cheek region may be indicative of an early transition from brown- to white-like adipose tissue. These findings indicate that IDEAL-IQ could be a useful tool for exploring fetal fat development. CRITICAL RELEVANCE STATEMENT: This study provides quantitative MRI relevant to fetal brown-to-white fat conversion, suggesting a potential role for imaging markers in characterizing metabolic maturation in vivo. These findings may contribute to the development of noninvasive approaches for assessing fetal metabolic status and developmental variability. KEY POINTS: PDFF increased with gestational week, indicating progressive fetal fat maturation. Regional R2* patterns varied with gestational age, with changes in the cheek region around ~32 weeks that may be consistent with a transition from brown- to white-like adipose tissue. Fat development followed a "cheek → trunk → limb" sequence, showing spatial heterogeneity.

Indexed as

DevelopmentFat fractionFetusMagnetic resonance imagingWhite adipose tissue

Identifiers

PMID42032361
PMCPMC13109482

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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.