TY - JOUR
T1 - Non-invasive mapping of human placenta microenvironments throughout pregnancy with diffusion-relaxation MRI
AU - Slator, Paddy J.
AU - Cromb, Daniel
AU - Jackson, Laurence H.
AU - Ho, Alison
AU - Counsell, Serena J.
AU - Story, Lisa
AU - Chappell, Lucy C.
AU - Rutherford, Mary
AU - Hajnal, Joseph V.
AU - Hutter, Jana
AU - Alexander, Daniel C.
N1 - Funding Information:
We thank all pregnant participants, midwives, obstetricians, paediatricians, and radiographers who played a key role in obtaining the datasets. Grant support: NIH (1U01HD087202-01); Wellcome Trust (201374/Z/16/Z); EPSRC (EP/V034537/1, EP/M020533/1); UKRI (MR/T018119/1 JH); MRC (MR/V002465/1); NIHR Biomedical Research Centre at UCLH NHS Foundation Trust and UCL; core funding from the Wellcome/EPSRC Centre for Medical Engineering at KCL (WT 203148/Z/16/Z); the NIHR Biomedical Research Centre based at Guy's and St Thomas' NHS Foundation Trust and KCL. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health.
Funding Information:
We thank all pregnant participants, midwives, obstetricians, paediatricians, and radiographers who played a key role in obtaining the datasets. Grant support: NIH ( 1U01HD087202-01 ); Wellcome Trust ( 201374/Z/16/Z ); EPSRC ( EP/V034537/1 , EP/M020533/1 ); UKRI ( MR/T018119/1 JH ); MRC ( MR/V002465/1 ); NIHR Biomedical Research Centre at UCLH NHS Foundation Trust and UCL; core funding from the Wellcome / EPSRC Centre for Medical Engineering at KCL ( WT 203148/Z/16/Z ); the NIHR Biomedical Research Centre based at Guy's and St Thomas' NHS Foundation Trust and KCL. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health.
Publisher Copyright:
© 2023 The Authors
PY - 2023/12
Y1 - 2023/12
N2 - Introduction: 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. Methods: 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. Results: 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. Discussion: 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.
AB - Introduction: 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. Methods: 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. Results: 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. Discussion: 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.
KW - Diffusion MRI
KW - Diffusion-relaxation MRI
KW - Placenta
KW - Unsupervised learning
UR - http://www.scopus.com/inward/record.url?scp=85176235025&partnerID=8YFLogxK
U2 - 10.1016/j.placenta.2023.11.002
DO - 10.1016/j.placenta.2023.11.002
M3 - Article
C2 - 37952367
AN - SCOPUS:85176235025
SN - 0143-4004
VL - 144
SP - 29
EP - 37
JO - Placenta
JF - Placenta
ER -