In Vivo Quantification of Placental Insufficiency by BOLD MRI: A Human Study.
Jie LuoEsra Abaci TurkCarolina BibboBorjan GagoskiDrucilla J RobertsMark VangelClare M Tempany-AfdhalCarol BarnewoltJudy EstroffArvind PalanisamyWilliam H BarthChloe ZeraNorberto MalpicaPolina GollandElfar AdalsteinssonJulian N RobinsonPatricia Ellen GrantPublished in: Scientific reports (2017)
Fetal health is critically dependent on placental function, especially placental transport of oxygen from mother to fetus. When fetal growth is compromised, placental insufficiency must be distinguished from modest genetic growth potential. If placental insufficiency is present, the physician must trade off the risk of prolonged fetal exposure to placental insufficiency against the risks of preterm delivery. Current ultrasound methods to evaluate the placenta are indirect and insensitive. We propose to use Blood-Oxygenation-Level-Dependent (BOLD) MRI with maternal hyperoxia to quantitatively assess mismatch in placental function in seven monozygotic twin pairs naturally matched for genetic growth potential. In-utero BOLD MRI time series were acquired at 29 to 34 weeks gestational age. Maps of oxygen Time-To-Plateau (TTP) were obtained in the placentas by voxel-wise fitting of the time series. Fetal brain and liver volumes were measured based on structural MR images. After delivery, birth weights were obtained and placental pathological evaluations were performed. Mean placental TTP negatively correlated with fetal liver and brain volumes at the time of MRI as well as with birth weights. Mean placental TTP positively correlated with placental pathology. This study demonstrates the potential of BOLD MRI with maternal hyperoxia to quantify regional placental function in vivo.
Keyphrases
- gestational age
- magnetic resonance imaging
- contrast enhanced
- birth weight
- resting state
- healthcare
- human health
- functional connectivity
- endothelial cells
- computed tomography
- preterm birth
- public health
- multiple sclerosis
- white matter
- risk assessment
- magnetic resonance
- pregnancy outcomes
- machine learning
- dna methylation
- weight gain
- climate change
- preterm infants
- body mass index
- low birth weight
- weight loss
- health promotion