Obesity is an ongoing public health problem that is difficult to treat. There is evidence that obesity has fetal origins. Body composition, including visceral, subcutaneous, brown, and hepatic fat have been found to be important predictors in obesity and metabolic syndrome. Magnetic resonance imaging (MRI) can quantify body composition that does not require radiation but is motion limited. The investigators have developed a motion-compensated MRI sequence, also known as "free breathing" MRI. In this study, the investigators plan to obtain free-breathing MRIs of pregnant women in the third trimester of pregnancy. MRIs will be obtained from healthy mothers, mothers with growth-restricted fetuses, and mothers with gestational diabetes. The different types of adipose tissue will be measured and compared between groups and correlated to birth growth parameters. The goal is this study is to assess if motion-compensated MRI can help predict early growth patterns in infancy.
1.1 OBJECTIVE This study's goals are to: 1) use free-breathing magnetic resonance imaging (FB-MRI) to measure fetal body composition in the third trimester and 2) determine how the FB-MRI quantitative measurements compare to growth parameters at birth. 1.2 HYPOTHESES AND SPECIFIC AIMS To accomplish the investigators' objectives, the aims and hypotheses are as follows: Specific Aim 1: In a prospective study in women with healthy pregnancies and women with fetuses that have intrauterine growth restriction (IUGR) and gestational diabetes, the investigators will quantify fetal subcutaneous, visceral, and brown adipose tissue volumes and proton-density fat fraction (PDFF) using FB-MRI in the third trimester. Hypothesis 1: Using a FB-MRI technique the investigators will find the following, 1. The growth-restricted fetus will have less visceral, subcutaneous, and brown adipose tissue volume and PDFF when compared to healthy fetuses and fetuses whose mothers have gestational diabetes. 2. Fetuses whose mothers have gestational diabetes will have a greater subcutaneous and visceral adipose tissue volume and PDFF compared to healthy fetuses. Specific Aim 2: In a prospective study in pregnant women and their fetuses, the investigators will compare volume and PDFF measurements of fetal visceral, subcutaneous, and brown adipose tissue obtained with FB-MRI to birth growth parameters of these infants. Hypothesis 2: The volume and PDFF of fetal visceral and subcutaneous adipose tissue will correlate positively with birth weight and length z-score.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
OTHER
Masking
NONE
Enrollment
23
Subject will have a one time MRI scan.
University of California-Los Angeles
Los Angeles, California, United States
University of California- Los Angeles Santa Monica
Santa Monica, California, United States
Maternal Visceral Adipose Tissue Volume
MRI data will be reconstructed by Siemens scanner software to produce 3D fat-water separated images and PDFF maps. The FB-MRI radial data will be transferred to a separate workstation for custom reconstruction of 3D fat-water-separated images and PDFF maps and analysis. Visceral adipose tissue PDFF values will be directly measured from regions of interest.
Time frame: During the procedure (MRI)
Fetal Liver PDFF
MRI data will be reconstructed by Siemens scanner software to produce 3D fat-water separated images. The distribution/extent of hepatic fat will be manually delineated/drawn on the 3D MRI images and PDFF maps. This work will be performed by PI Strobel with validation from PI Wu.
Time frame: During the procedure (MRI)
Fetal Subcutaneous Tissue Volume
MRI data will be reconstructed by Siemens scanner software to produce 3D fat-water separated images and PDFF maps. The FB-MRI radial data will be transferred to a separate workstation for custom reconstruction of 3D fat-water-separated images and PDFF maps and analysis. Subcutaneous adipose tissue PDFF values will be directly measured from regions of interest.
Time frame: During the procedure (MRI)
Maternal Subcutaneous Tissue Volume
MRI data will be reconstructed by Siemens scanner software to produce 3D fat-water separated images. The distribution/extent of subcutaneous fat will be manually delineated/drawn on the 3D MRI images and PDFF maps and used to calculate volume of subcutaneous adipose tissue. This work will be performed by PI Strobel with validation from PI Wu.
Time frame: During the procedure (MRI)
Maternal Hepatic Fat PDFF
MRI data will be reconstructed by Siemens scanner software to produce 3D fat-water separated images and PDFF maps. The FB-MRI radial data will be transferred to a separate workstation for custom reconstruction of 3D fat-water-separated images and PDFF maps and analysis. Hepatic adipose tissue PDFF values will be directly measured from regions of interest.
Time frame: During the procedure (MRI)
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