Non-invasive mapping of human placenta microenvironments throughout pregnancy with diffusion-relaxation MRI

• Published in: Placenta (Eastbourne) Vol. 144; pp. 29 - 37
• Main Authors: Slator, Paddy J, Cromb, Daniel, Jackson, Laurence H, Ho, Alison, Counsell, Serena J, Story, Lisa, Chappell, Lucy C, Rutherford, Mary, Hajnal, Joseph V, Hutter, Jana, Alexander, Daniel C
• Format: Journal Article
• Language: English
• Published: Netherlands 01-12-2023
• Subjects: Diffusion Magnetic Resonance Imaging; Female; Fetal Growth Retardation; Humans; Magnetic Resonance Imaging - methods; Microcirculation; Placenta - diagnostic imaging; Placentation; Pregnancy; Diffusion-relaxation MRI; Diffusion MRI; Placenta; Unsupervised learning
• ISSN: 0143-4004; 1532-3102; 1532-3102
• DOI: 10.1016/j.placenta.2023.11.002

In-vivo measurements of placental structure and function have the potential to improve prediction, diagnosis, and treatment planning for a wide range of pregnancy complications, such as fetal growth restriction and pre-eclampsia, and hence inform clinical decision making, ultimately improving patient outcomes. MRI is emerging as a technique with increased sensitivity to placental structure and function compared to the current clinical standard, ultrasound.
We demonstrate and evaluate a combined diffusion-relaxation MRI acquisition and analysis pipeline on a sizable cohort of 78 normal pregnancies with gestational ages ranging from 15 + 5 to 38 + 4 weeks. Our acquisition comprises a combined T2*-diffusion MRI acquisition sequence - which is simultaneously sensitive to oxygenation, microstructure and microcirculation. We analyse our scans with a data-driven unsupervised machine learning technique, InSpect, that parsimoniously identifies distinct components in the data.
We identify and map seven potential placental microenvironments and reveal detailed insights into multiple microstructural and microcirculatory features of the placenta, and assess their trends across gestation.
By demonstrating direct observation of micro-scale placental structure and function, and revealing clear trends across pregnancy, our work contributes towards the development of robust imaging biomarkers for pregnancy complications and the ultimate goal of a normative model of placental development.