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Normative placental structure in pregnancy using quantitative Magnetic Resonance Imaging
Nickie Andescavage1, Kushal Kapse2, Yuan-Chiao Lu2
1Division of Neonatology, Children's National Hospital, 111 Michigan Ave. NW, Washington, DC, 20010, USA; Department of Pediatrics, Children's National Hospital, 111 Michigan Ave. NW, Washington, DC, 20010, USA.
Placenta
|August 8, 2021
Summary
Quantitative magnetic resonance imaging (MRI) reveals how healthy placentas grow in size, texture, and microstructure during pregnancy. These findings establish crucial reference data for detecting placental abnormalities.
Area of Science:
- Obstetrics and Gynecology
- Medical Imaging
- Fetal Development
Background:
- Placental development is critical for fetal well-being.
- Quantitative in-vivo assessment of placental development is limited.
- Advanced magnetic resonance imaging (MRI) offers potential for detailed placental characterization.
Purpose of the Study:
- To establish normative quantitative metrics for placental morphometry, texture, and microstructure.
- To apply advanced quantitative magnetic resonance imaging (qMRI) techniques to in-vivo placentas.
- To create reference data for placental development across gestation.
Main Methods:
- Prospective observational study of 195 women with uncomplicated singleton pregnancies.
- MRI scans performed between 16- and 40-weeks' gestation.
- Morphometric and textural metrics derived from T2-weighted images; microstructural metrics from diffusion-weighted images.
Main Results:
- Significant increases in placental volume, thickness, and elongation observed with advancing gestation.
- Increasing placental texture variability noted with gestational age.
- No significant variation in placental microstructure with gestational age; elongation differed by fetal sex.
Conclusions:
- Quantitative MRI provides normative data for placental morphometry, texture, and microstructure.
- These metrics serve as vital references for in-vivo placental development.
- Enables better understanding of placental function and early detection of mal-development.

