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PED NEONAT 20-000599 Fetal Body Composition

Phase 1
Completed
Conditions
Gestational Diabetes
IUGR
Pregnancy Related
Interventions
Other: 3T "Free-Breathing" Fetal Magnetic Resonance Imaging
Registration Number
NCT04508751
Lead Sponsor
University of California, Los Angeles
Brief Summary

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.

Detailed Description

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.

Recruitment & Eligibility

Status
COMPLETED
Sex
Female
Target Recruitment
23
Inclusion Criteria
  • Pregnant women with singleton pregnancies (healthy cohort)
  • Pregnant women with fetuses with weights < 10th percentile weight for gestational age (IUGR cohort)
  • Pregnant women with gestational diabetes (diabetes cohort)
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Exclusion Criteria
  • Pregnant minors
  • Major congenital anomalies or disease processes in the fetus
  • Fetus with known chromosomal anomalies
  • Mothers who do not plan to deliver at UCLA
  • Multiple pregnancy (i.e. twins, triplets, etc)
  • History of claustrophobia
  • Contraindications to MRI such as metallic devices in the body that are not MRI compatible
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Study & Design

Study Type
INTERVENTIONAL
Study Design
PARALLEL
Arm && Interventions
GroupInterventionDescription
Healthy Pregnancy3T "Free-Breathing" Fetal Magnetic Resonance ImagingPatient will have a fetal MRI performed in the third trimester. All MRI scans will be performed on 3 T scanners (e.g., Skyra or Prisma, Siemens). Our newly developed FB-MRI quantification technique leverages a multi-echo 3D stack-of-radial sampling trajectory with golden-angle acquisition ordering to suppress motion artifacts and enable free-breathing imaging of the abdomen in around 5 minutes. In addition, our FB-MRI technique is compatible with data under sampling to accelerate the free-breathing scan to 1-2 min. In this study, we will optimize the parameters of our FB-MRI technique (spatial resolution, spatial coverage, acceleration factor) to balance trade-offs between scan time, image quality, fat quantification accuracy, and patient comfort/compliance. Subjects will be provided ear plugs to limit amount of noise from MRI machines. Maternal demographics, pregnancy clinical course and infant growth parameters will be recorded.
Pregnant Mothers with gestational diabetes3T "Free-Breathing" Fetal Magnetic Resonance ImagingPatient will have a fetal MRI performed in the third trimester. All MRI scans will be performed on 3 T scanners (e.g., Skyra or Prisma, Siemens). Our newly developed FB-MRI quantification technique leverages a multi-echo 3D stack-of-radial sampling trajectory with golden-angle acquisition ordering to suppress motion artifacts and enable free-breathing imaging of the abdomen in around 5 minutes. In addition, our FB-MRI technique is compatible with data under sampling to accelerate the free-breathing scan to 1-2 min. In this study, we will optimize the parameters of our FB-MRI technique (spatial resolution, spatial coverage, acceleration factor) to balance trade-offs between scan time, image quality, fat quantification accuracy, and patient comfort/compliance. Subjects will be provided ear plugs to limit amount of noise from MRI machines. Maternal demographics, pregnancy clinical course and infant growth parameters will be recorded.
Pregnant Mothers with infants diagnosed with IUGR3T "Free-Breathing" Fetal Magnetic Resonance ImagingPatient will have a fetal MRI performed in the third trimester. All MRI scans will be performed on 3 T scanners (e.g., Skyra or Prisma, Siemens). Our newly developed FB-MRI quantification technique leverages a multi-echo 3D stack-of-radial sampling trajectory with golden-angle acquisition ordering to suppress motion artifacts and enable free-breathing imaging of the abdomen in around 5 minutes. In addition, our FB-MRI technique is compatible with data under sampling to accelerate the free-breathing scan to 1-2 min. In this study, we will optimize the parameters of our FB-MRI technique (spatial resolution, spatial coverage, acceleration factor) to balance trade-offs between scan time, image quality, fat quantification accuracy, and patient comfort/compliance. Subjects will be provided ear plugs to limit amount of noise from MRI machines. Maternal demographics, pregnancy clinical course and infant growth parameters will be recorded.
Primary Outcome Measures
NameTimeMethod
Fetal Liver PDFFDuring the procedure (MRI)

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.

Maternal Visceral Adipose Tissue VolumeDuring the procedure (MRI)

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.

Secondary Outcome Measures
NameTimeMethod
Fetal Subcutaneous Tissue VolumeDuring the procedure (MRI)

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.

Maternal Subcutaneous Tissue VolumeDuring the procedure (MRI)

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.

Maternal Hepatic Fat PDFFDuring the procedure (MRI)

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.

Trial Locations

Locations (2)

University of California-Los Angeles

🇺🇸

Los Angeles, California, United States

University of California- Los Angeles Santa Monica

🇺🇸

Santa Monica, California, United States

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