Fetal body composition reference charts and sexual dimorphism using magnetic resonance imaging.

Body composition Fat-water magnetic resonance imaging Fetal magnetic resonance imaging Magnetic resonance imaging Preterm infants Preterm infants nutrition Sexual dimorphism

Journal

The American journal of clinical nutrition
ISSN: 1938-3207
Titre abrégé: Am J Clin Nutr
Pays: United States
ID NLM: 0376027

Informations de publication

Date de publication:
14 Oct 2024
Historique:
received: 26 03 2024
revised: 12 08 2024
accepted: 07 10 2024
medline: 17 10 2024
pubmed: 17 10 2024
entrez: 16 10 2024
Statut: aheadofprint

Résumé

The American Academy of Pediatrics advises that the nutrition of preterm infants should target a body composition similar to that of a fetus in utero. Still, reference charts for intrauterine body composition are missing. Moreover, data on sexual differences in intrauterine body composition during pregnancy are limited. The objective of this study was to create reference charts for intrauterine body composition from 30 to 36+6 weeks post-conception and to evaluate the differences between sexes. In this single-center retrospective study, data of 197 normal developing fetuses in late gestation was acquired at 3T magnetic resonance imaging (MRI) scans, including True Fast Imaging with Steady State Free Precession and T Throughout late gestation, BM, FSF, FM, FM%, and FFM increased, while the FFM% decreased. Reference charts and gestational age and sex-specific percentiles are provided. Males exhibited significantly higher BM (7.2%; 95% confidence interval [95% CI], 1.9-12.4%), FFM (8.5%; 95% CI, 3.7- 13.4%), and FFM% (1.2%; 95% CI, 0.6-1.7%) and lower FSF (-3.6%; 95% CI, -5.6-[-1.8]%) and FM% (-1.2%; 95% CI, -1.7-[-0.6]%), (P<0.001) compared with females, with no significant difference in FM between sexes (P=0.126). MRI-derived intrauterine body composition growth charts are valuable for tracking growth in preterm infants. This study demonstrated that sexual differences in body composition are already present in the intrauterine phase.

Sections du résumé

BACKGROUND BACKGROUND
The American Academy of Pediatrics advises that the nutrition of preterm infants should target a body composition similar to that of a fetus in utero. Still, reference charts for intrauterine body composition are missing. Moreover, data on sexual differences in intrauterine body composition during pregnancy are limited.
OBJECTIVE OBJECTIVE
The objective of this study was to create reference charts for intrauterine body composition from 30 to 36+6 weeks post-conception and to evaluate the differences between sexes.
METHODS METHODS
In this single-center retrospective study, data of 197 normal developing fetuses in late gestation was acquired at 3T magnetic resonance imaging (MRI) scans, including True Fast Imaging with Steady State Free Precession and T
RESULTS RESULTS
Throughout late gestation, BM, FSF, FM, FM%, and FFM increased, while the FFM% decreased. Reference charts and gestational age and sex-specific percentiles are provided. Males exhibited significantly higher BM (7.2%; 95% confidence interval [95% CI], 1.9-12.4%), FFM (8.5%; 95% CI, 3.7- 13.4%), and FFM% (1.2%; 95% CI, 0.6-1.7%) and lower FSF (-3.6%; 95% CI, -5.6-[-1.8]%) and FM% (-1.2%; 95% CI, -1.7-[-0.6]%), (P<0.001) compared with females, with no significant difference in FM between sexes (P=0.126).
CONCLUSIONS CONCLUSIONS
MRI-derived intrauterine body composition growth charts are valuable for tracking growth in preterm infants. This study demonstrated that sexual differences in body composition are already present in the intrauterine phase.

Identifiants

pubmed: 39414081
pii: S0002-9165(24)00811-6
doi: 10.1016/j.ajcnut.2024.10.004
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 American Society for Nutrition. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Aviad RCabinowich reports financial support was provided by Thrasher Research Fund. Dafna Ben Bashat reports financial support was provided by Israel Innovation Authority. Aviad Rabinowich reports financial support was provided by Tel Aviv University. Dafna Ben Bashat has patent #PCT/IL2022/050204 issued to Israel Patent Office. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Aviad Rabinowich (A)

Sagol Brain Institute, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel; Department of Radiology, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel; Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel. Electronic address: aviadrabi@gmail.com.

Netanell Avisdris (N)

Sagol Brain Institute, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel; School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel.

Bossmat Yehuda (B)

Sagol Brain Institute, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel; Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel.

Sharon Vanetik (S)

Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel; Department of Pediatrics, Dana Dwek Children's Hospital, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel.

Jayan Khawaja (J)

Department of Radiology, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel; Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.

Tamir Graziani (T)

Department of Radiology, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel; Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.

Bar Neeman (B)

Department of Radiology, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel; Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.

Yair Wexler (Y)

School of Neurobiology, Biochemistry and Biophysics, The George S. Wise Faculty of Life Sciences, Tel-Aviv University, Tel-Aviv, Israel.

Bella Specktor-Fadida (B)

School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel; Faculty of Social Welfare and Health Sciences, Department of Medical Imaging Sciences, University of Haifa, Haifa, Israel.

Jacky Herzlich (J)

Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel; Neonatal Intensive Care Unit, Dana Dwek Children's Hospital, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel.

Leo Joskowicz (L)

School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel; Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel.

Karina Krajden Haratz (KK)

Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel; Department of Obstetrics and Gynecology, Lis Hospital for Women, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel.

Liran Hiersch (L)

Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel; Department of Obstetrics and Gynecology, Lis Hospital for Women, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel.

Liat Ben Sira (L)

Department of Radiology, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel; Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.

Dafna Ben Bashat (D)

Sagol Brain Institute, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel; Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel; Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel.

Classifications MeSH