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Cromb D, Slator PJ, De La Fuente M, Price AN, Rutherford M, Egloff A, Counsell SJ, Hutter J. Assessing within-subject rates of change of placental MRI diffusion metrics in normal pregnancy. Magn Reson Med 2023; 90:1137-1150. [PMID: 37183839 PMCID: PMC10962570 DOI: 10.1002/mrm.29665] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 03/14/2023] [Accepted: 03/22/2023] [Indexed: 05/16/2023]
Abstract
PURPOSE Studying placental development informs when development is abnormal. Most placental MRI studies are cross-sectional and do not study the extent of individual variability throughout pregnancy. We aimed to explore how diffusion MRI measures of placental function and microstructure vary in individual healthy pregnancies throughout gestation. METHODS Seventy-nine pregnant, low-risk participants (17 scanned twice and 62 scanned once) were included. T2 -weighted anatomical imaging and a combined multi-echo spin-echo diffusion-weighted sequence were acquired at 3 T. Combined diffusion-relaxometry models were performed using both aT 2 * $$ {\mathrm{T}}_2^{\ast } $$ -ADC and a bicompartmentalT 2 * $$ {\mathrm{T}}_2^{\ast } $$ -intravoxel-incoherent-motion (T 2 * IVIM $$ {\mathrm{T}}_2^{\ast}\;\mathrm{IVIM} $$ ) model fit. RESULTS There was a significant decline in placentalT 2 * $$ {\mathrm{T}}_2^{\ast } $$ and ADC (both P < 0.01) over gestation. These declines are consistent in individuals forT 2 * $$ {\mathrm{T}}_2^{\ast } $$ (covariance = -0.47), but not ADC (covariance = -1.04). TheT 2 * IVIM $$ {\mathrm{T}}_2^{\ast}\;\mathrm{IVIM} $$ model identified a consistent decline in individuals over gestation inT 2 * $$ {\mathrm{T}}_2^{\ast } $$ from both the perfusing and diffusing placental compartments, but not in ADC values from either. The placental perfusing compartment fraction increased over gestation (P = 0.0017), but this increase was not consistent in individuals (covariance = 2.57). CONCLUSION Whole placentalT 2 * $$ {\mathrm{T}}_2^{\ast } $$ and ADC values decrease over gestation, although onlyT 2 * $$ {\mathrm{T}}_2^{\ast } $$ values showed consistent trends within subjects. There was minimal individual variation in rates of change ofT 2 * $$ {\mathrm{T}}_2^{\ast } $$ values from perfusing and diffusing placental compartments, whereas trends in ADC values from these compartments were less consistent. These findings probably relate to the increased complexity of the bicompartmentalT 2 * IVIM $$ {\mathrm{T}}_2^{\ast}\;\mathrm{IVIM} $$ model, and differences in how different placental regions evolve at a microstructural level. These placental MRI metrics from low-risk pregnancies provide a useful benchmark for clinical cohorts.
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Affiliation(s)
- Daniel Cromb
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging SciencesKing's College LondonLondonUK
| | - Paddy J. Slator
- Centre for Medical Image Computing, Department of Computer ScienceUniversity College LondonLondonUK
| | - Miguel De La Fuente
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging SciencesKing's College LondonLondonUK
| | - Anthony N. Price
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging SciencesKing's College LondonLondonUK
- Centre for Medical EngineeringSchool of Biomedical Engineering and Imaging Sciences, King's College LondonLondonUK
| | - Mary Rutherford
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging SciencesKing's College LondonLondonUK
- MRC Centre for Neurodevelopmental DisordersKing's College LondonLondonUK
| | - Alexia Egloff
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging SciencesKing's College LondonLondonUK
| | - Serena J. Counsell
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging SciencesKing's College LondonLondonUK
| | - Jana Hutter
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging SciencesKing's College LondonLondonUK
- Centre for Medical EngineeringSchool of Biomedical Engineering and Imaging Sciences, King's College LondonLondonUK
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Deloison B, Arthuis C, Benchimol G, Balvay D, Bussieres L, Millischer AE, Grévent D, Butor C, Chalouhi G, Mahallati H, Hélénon O, Tavitian B, Clement O, Ville Y, Siauve N, Salomon LJ. Human placental perfusion measured using dynamic contrast enhancement MRI. PLoS One 2021; 16:e0256769. [PMID: 34473740 PMCID: PMC8412340 DOI: 10.1371/journal.pone.0256769] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Accepted: 08/15/2021] [Indexed: 11/19/2022] Open
Abstract
Objectives To evaluate the feasibility of dynamic contrast enhanced magnetic resonance imaging (DCE MRI) and measure values of in vivo placental perfusion in women. Methods This study was part of the Placentimage trial (NCT01092949). Gadolinium-chelate (Gd) enhanced dynamic MRI was performed two days before termination of pregnancies at 16 to 34 weeks gestational age (GA). Quantitative analysis was performed using one-compartment intravascular modeling. DCE perfusion parameters were analyzed across GA and were compared in IUGR and AGA fetuses. Results 134 patients were enrolled. After quality control check, 62 DCE MRI were analyzed including 48 and 14 pregnancies with normal and abnormal karyotypes, respectively. Mean placental blood flow was 129±61 mL/min/100ml in cases with normal karyotypes. Fetuses affected by IUGR (n = 13) showed significantly lower total placental blood flow values than AGA fetuses (n = 35) (F total = 122±88 mL/min versus 259±34 mL/min, p = 0.002). DCE perfusion parameters showed a linear correlation with GA. Conclusions Measuring placental perfusion in vivo is possible using DCE MRI. Although this study has many limitations it gives us the first DCE MRI values that provide a potential standard for future research into placental perfusion methods and suggests that placental functional parameters are altered in IUGR pregnancies.
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Affiliation(s)
- Benjamin Deloison
- Service de Gynécologie-Obstétrique, Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France
- EA fetus 7328 and LUMIERE platform, Université Paris Descartes, Paris, France
- INSERM, U970, Paris Cardiovascular Research Center–PARCC, Sorbonne Paris Cité, Paris, France
| | - Chloé Arthuis
- Service de Gynécologie-Obstétrique, Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France
- EA fetus 7328 and LUMIERE platform, Université Paris Descartes, Paris, France
- Service de Gynécologie-Obstétrique, Hôpital mère-enfant, CHU Nantes, Nantes, France
| | - Gabriel Benchimol
- Service de Gynécologie-Obstétrique, Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France
- EA fetus 7328 and LUMIERE platform, Université Paris Descartes, Paris, France
- INSERM, U970, Paris Cardiovascular Research Center–PARCC, Sorbonne Paris Cité, Paris, France
| | - Daniel Balvay
- INSERM, U970, Paris Cardiovascular Research Center–PARCC, Sorbonne Paris Cité, Paris, France
| | - Laurence Bussieres
- Service de Gynécologie-Obstétrique, Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France
- EA fetus 7328 and LUMIERE platform, Université Paris Descartes, Paris, France
| | - Anne-Elodie Millischer
- Service de Radiologie, Hôpital Necker Enfants Malades, Assistance Publique-Hôpitaux de Paris (APHP), Paris, France
| | - David Grévent
- EA fetus 7328 and LUMIERE platform, Université Paris Descartes, Paris, France
- Service de Radiologie, Hôpital Necker Enfants Malades, Assistance Publique-Hôpitaux de Paris (APHP), Paris, France
| | - Cécile Butor
- EA fetus 7328 and LUMIERE platform, Université Paris Descartes, Paris, France
| | - Gihad Chalouhi
- Service de Gynécologie-Obstétrique, Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France
- INSERM, U970, Paris Cardiovascular Research Center–PARCC, Sorbonne Paris Cité, Paris, France
| | - Houman Mahallati
- Service de Gynécologie-Obstétrique, Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France
- EA fetus 7328 and LUMIERE platform, Université Paris Descartes, Paris, France
| | - Olivier Hélénon
- Service de Radiologie, Hôpital Necker Enfants Malades, Assistance Publique-Hôpitaux de Paris (APHP), Paris, France
| | - Bertrand Tavitian
- INSERM, U970, Paris Cardiovascular Research Center–PARCC, Sorbonne Paris Cité, Paris, France
| | - Olivier Clement
- INSERM, U970, Paris Cardiovascular Research Center–PARCC, Sorbonne Paris Cité, Paris, France
| | - Yves Ville
- Service de Gynécologie-Obstétrique, Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France
- EA fetus 7328 and LUMIERE platform, Université Paris Descartes, Paris, France
| | - Nathalie Siauve
- EA fetus 7328 and LUMIERE platform, Université Paris Descartes, Paris, France
- INSERM, U970, Paris Cardiovascular Research Center–PARCC, Sorbonne Paris Cité, Paris, France
- Service de Radiologie, Hôpital Louis Mourier, Assistance Publique-Hôpitaux de Paris (APHP), Colombes, France
| | - Laurent Julien Salomon
- Service de Gynécologie-Obstétrique, Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France
- EA fetus 7328 and LUMIERE platform, Université Paris Descartes, Paris, France
- INSERM, U970, Paris Cardiovascular Research Center–PARCC, Sorbonne Paris Cité, Paris, France
- * E-mail:
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Flouri D, Darby JRT, Holman SL, Perumal SR, David AL, Morrison JL, Melbourne A. Magnetic resonance imaging of placentome development in the pregnant Ewe. Placenta 2021; 105:61-69. [PMID: 33549925 PMCID: PMC7611430 DOI: 10.1016/j.placenta.2021.01.017] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 01/08/2021] [Accepted: 01/15/2021] [Indexed: 12/28/2022]
Abstract
INTRODUCTION Novel imaging measurements of placental development are difficult to validate due to the invasive nature of gold-standard procedures. Animal studies have been important in validation of magnetic resonance imaging (MRI) measurements in invasive preclinical studies, as they allow for controlled experiments and analysis of multiple time-points during pregnancy. This study characterises the longitudinal diffusion and perfusion properties of sheep placentomes using MRI, measurements that are required for future validation studies. METHODS Pregnant ewes were anaesthetised for a MRI session on a 3T scanner. Placental MRI was used to classify placentomes morphologically into three types based on their shape and size at two gestational ages. To validate classification accuracy, placentome type derived from MRI data were compared with placentome categorisation results after delivery. Diffusion-Weighted MRI and T2-relaxometry were used to measure a broad range of biophysical properties of the placentomes. RESULTS MRI morphological classification results showed consistent gestational age changes in placentome shape, as supported by post-delivery gold standard data. The mean apparent diffusion coefficient was significantly higher at 110 days gestation than at late gestation (~140 days; term, 150 days). Mean T2 was higher at mid gestation (152.2 ± 58.1 ms) compared to late gestation (127.8 ms ± 52.0). Significantly higher perfusion fraction was measured in late gestation placentomes that also had a significantly higher fractional anisotropy when compared to the earlier gestational age. DISCUSSION We report baseline measurements of techniques common in placental MRI for the sheep placenta. These measurements are essential to support future validation measurements of placental MRI techniques.
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Affiliation(s)
- Dimitra Flouri
- School of Biomedical Engineering and Imaging Sciences, Kings College London, London, United Kingdom; Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom.
| | - Jack R T Darby
- Early Origins of Adult Health Research Group, Health and Biomedical Innovation, UniSA Clinical and Health Sciences, University of South Australia, Adelaide, Australia
| | - Stacey L Holman
- Early Origins of Adult Health Research Group, Health and Biomedical Innovation, UniSA Clinical and Health Sciences, University of South Australia, Adelaide, Australia
| | - Sunthara R Perumal
- South Australian Health & Medical Research Institute, Preclinical, Imaging & Research Laboratories, Adelaide, Australia
| | - Anna L David
- Elizabeth Garrett Anderson Institute for Women's Health, University College London, London, London, United Kingdom; NIHR Biomedical Research Centre, University College London Hospitals, London, United Kingdom
| | - Janna L Morrison
- Early Origins of Adult Health Research Group, Health and Biomedical Innovation, UniSA Clinical and Health Sciences, University of South Australia, Adelaide, Australia
| | - Andrew Melbourne
- School of Biomedical Engineering and Imaging Sciences, Kings College London, London, United Kingdom; Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom; Early Origins of Adult Health Research Group, Health and Biomedical Innovation, UniSA Clinical and Health Sciences, University of South Australia, Adelaide, Australia
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