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Aviles Verdera J, Tomi-Tricot R, Story L, Rutherford MA, Ourselin S, Hajnal JV, Malik SJ, Hutter J. Characterizing T1 in the fetal brain and placenta over gestational age at 0.55T. Magn Reson Med 2024; 92:2101-2111. [PMID: 38968093 DOI: 10.1002/mrm.30193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Revised: 05/10/2024] [Accepted: 05/24/2024] [Indexed: 07/07/2024]
Abstract
PURPOSE T1 mapping and T1-weighted contrasts have a complimentary but currently under utilized role in fetal MRI. Emerging clinical low field scanners are ideally suited for fetal T1 mapping. The advantages are lower T1 values which results in higher efficiency and reduced field inhomogeneities resulting in a decreased requirement for specialist tools. In addition the increased bore size associated with low field scanners provides improved patient comfort and accessibility. This study aims to demonstrate the feasibility of fetal brain T1 mapping at 0.55T. METHODS An efficient slice-shuffling inversion-recovery echo-planar imaging (EPI)-based T1-mapping and postprocessing was demonstrated for the fetal brain at 0.55T in a cohort of 38 fetal MRI scans. Robustness analysis was performed and placental measurements were taken for validation. RESULTS High-quality T1 maps allowing the investigation of subregions in the brain were obtained and significant correlation with gestational age was demonstrated for fetal brain T1 maps (p < 0 . 05 $$ p<0.05 $$ ) as well as regions-of-interest in the deep gray matter and white matter. CONCLUSIONS Efficient, quantitative T1 mapping in the fetal brain was demonstrated on a clinical 0.55T MRI scanner, providing foundations for both future research and clinical applications including low-field specific T1-weighted acquisitions.
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Affiliation(s)
- Jordina Aviles Verdera
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Raphael Tomi-Tricot
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- MR Research Collaborations, Siemens Healthcare Limited, Camberley, UK
| | | | - Mary A Rutherford
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Sebastien Ourselin
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Joseph V Hajnal
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Shaihan J Malik
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Jana Hutter
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Smart Imaging Lab, Radiological Institute, University Hospital Erlangen, Erlangen, Germany
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Cromb D, Slator PJ, Hall M, Price A, Alexander DC, Counsell SJ, Hutter J. Advanced magnetic resonance imaging detects altered placental development in pregnancies affected by congenital heart disease. Sci Rep 2024; 14:12357. [PMID: 38811636 PMCID: PMC11136986 DOI: 10.1038/s41598-024-63087-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 05/24/2024] [Indexed: 05/31/2024] Open
Abstract
Congenital heart disease (CHD) is the most common congenital malformation and is associated with adverse neurodevelopmental outcomes. The placenta is crucial for healthy fetal development and placental development is altered in pregnancy when the fetus has CHD. This study utilized advanced combined diffusion-relaxation MRI and a data-driven analysis technique to test the hypothesis that placental microstructure and perfusion are altered in CHD-affected pregnancies. 48 participants (36 controls, 12 CHD) underwent 67 MRI scans (50 control, 17 CHD). Significant differences in the weighting of two independent placental and uterine-wall tissue components were identified between the CHD and control groups (both pFDR < 0.001), with changes most evident after 30 weeks gestation. A significant trend over gestation in weighting for a third independent tissue component was also observed in the CHD cohort (R = 0.50, pFDR = 0.04), but not in controls. These findings add to existing evidence that placental development is altered in CHD. The results may reflect alterations in placental perfusion or the changes in fetal-placental flow, villous structure and maturation that occur in CHD. Further research is needed to validate and better understand these findings and to understand the relationship between placental development, CHD, and its neurodevelopmental implications.
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Affiliation(s)
- Daniel Cromb
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK
- Centre for Medical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Paddy J Slator
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
- School of Computer Science and Informatics, Cardiff University, Cardiff, UK
- Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, UK
| | - Megan Hall
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK
| | - Anthony Price
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK
- Centre for Medical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Daniel C Alexander
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
| | - Serena J Counsell
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
- Centre for Medical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
| | - Jana Hutter
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK
- Centre for Medical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Smart Imaging Lab, Radiological Institute, University Hospital Erlangen, Erlangen, Germany
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Hubbard Cristinacce PL, Patel M, Oh A, Naish JH, Johnstone ED, Ingram E. Comparison of 2D and 3D oxygen-enhanced MRI of the placenta. PLoS One 2024; 19:e0302623. [PMID: 38776318 PMCID: PMC11111072 DOI: 10.1371/journal.pone.0302623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 04/09/2024] [Indexed: 05/24/2024] Open
Abstract
Oxygen-Enhanced Magnetic Resonance Imaging (OE-MRI) of the human placenta is potentially a sensitive marker of in vivo oxygenation. This methodological study shows that full coverage of the placenta is possible using 3D mapping of the change in longitudinal relaxation rate (ΔR1), in a group of healthy pregnant subjects breathing elevated levels of oxygen. Twelve pregnant subjects underwent a comparison of 2D and 3D OE-MRI. ΔR1 was mapped for a single 2D slice (ss-2D), a single matched-slice from the 3D volume (ss-3D) and the full 3D volume (vol-3D). The group-average median ΔR1 values for ss-3D (0.023 s-1) and vol-3D (0.022 s-1) do not differ significantly from ss-2D (0.020 s-1), when compared using a two-tailed paired t-test (ss-3D (p = 0.58) and vol-3D (p = 0.70)). However, median baseline T1 (T1b) for ss-2D was higher (1603 ms) than T1b for ss-3D (1540 ms, p = 0.07) and significantly higher than vol-3D (1515 ms, p = 0.02), when compared using a two-tailed paired t-test. In contrast with previous studies, no correlation of median ΔR1 with gestation age at scan for the normal group (N = 10) was observed for ss-2D, likely due to the smaller gestational range. Full volume OE-MRI maps reveal sensitivity to changes in ΔR1, with some participants showing an enhanced gradient in the intermediate space between the fetal and maternal sides of the placenta in the 3D data. This study shows that it is feasible to acquire whole placental volume OE-MRI data in women with healthy pregnancy.
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Affiliation(s)
- Penny L. Hubbard Cristinacce
- Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Minal Patel
- Division of Developmental Biology and Medicine, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Alexander Oh
- Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Josephine H. Naish
- Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Edward D. Johnstone
- Division of Developmental Biology and Medicine, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Emma Ingram
- Division of Developmental Biology and Medicine, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
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Jacquier M, Chalouhi G, Marquant F, Bussieres L, Grevent D, Picone O, Mandelbrot L, Mahallati H, Briand N, Elie C, Siauve N, Salomon LJ. Placental T2* and BOLD effect in response to hyperoxia in normal and growth-restricted pregnancies: multicenter cohort study. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2024; 63:472-480. [PMID: 37743665 DOI: 10.1002/uog.27496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 09/14/2023] [Accepted: 09/15/2023] [Indexed: 09/26/2023]
Abstract
OBJECTIVES Blood-oxygen-level-dependent (BOLD) magnetic resonance imaging (MRI) facilitates the non-invasive in-vivo evaluation of placental oxygenation. The aims of this study were to identify and quantify a relative BOLD effect in response to hyperoxia in the human placenta and to compare it between pregnancies with and those without fetal growth restriction (FGR). METHODS This was a prospective multicenter study (NCT02238301) of 19 pregnancies with FGR (estimated fetal weight (EFW) on ultrasound < 5th centile) and 75 non-FGR pregnancies (controls) recruited at two centers in Paris, France. Using a 1.5-Tesla MRI system, the same multi-echo gradient-recalled echo (GRE) sequences were performed at both centers to obtain placental T2* values at baseline and in hyperoxic conditions. The relative BOLD effect was calculated according to the equation 100 × (hyperoxic T2* - baseline T2*)/baseline T2*. Baseline T2* values and relative BOLD effect were compared according to EFW (FGR vs non-FGR), presence/absence of Doppler anomalies and birth weight (small-for-gestational age (SGA) vs non-SGA). RESULTS We observed a relative BOLD effect in response to hyperoxia in the human placenta (median, 33.8% (interquartile range (IQR), 22.5-48.0%)). The relative BOLD effect did not differ significantly between pregnancies with and those without FGR (median, 34.4% (IQR, 24.1-48.5%) vs 33.7% (22.7-47.4%); P = 0.95). Baseline T2* Z-score adjusted for gestational age at MRI was significantly lower in FGR pregnancies compared with non-FGR pregnancies (median, -1.27 (IQR, -4.87 to -0.10) vs 0.33 (IQR, -0.81 to 1.02); P = 0.001). Baseline T2* Z-score was also significantly lower in those pregnancies that subsequently delivered a SGA neonate (n = 23) compared with those that delivered a non-SGA neonate (n = 62) (median, -0.75 (IQR, -3.48 to 0.29) vs 0.35 (IQR, -0.79 to 1.05); P = 0.01). CONCLUSIONS Our study confirms a BOLD effect in the human placenta and that baseline T2* values are significantly lower in pregnancies with FGR. Further studies are needed to evaluate whether such parameters may detect placental insufficiency before it has a clinical impact on fetal growth. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
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Affiliation(s)
- M Jacquier
- Obstetrics and Gynecology Department, Hôpital Necker-Enfants Malades, AP-HP, Paris, France
- EA FETUS 7328 and LUMIERE Unit, Université de Paris-Cité, Paris, France
| | - G Chalouhi
- Obstetrics and Gynecology Department, Hôpital Necker-Enfants Malades, AP-HP, Paris, France
- EA FETUS 7328 and LUMIERE Unit, Université de Paris-Cité, Paris, France
- Centre SFFERe (Spécialistes Fœtus, Femme Enceinte et Reproduction), Boulogne-Billancourt, France
| | - F Marquant
- Clinical Unit Research/Clinic Investigation Center, Paris Descartes University, Hôpital Necker-Enfants Malades, AP-HP, Paris, France
| | - L Bussieres
- Obstetrics and Gynecology Department, Hôpital Necker-Enfants Malades, AP-HP, Paris, France
- EA FETUS 7328 and LUMIERE Unit, Université de Paris-Cité, Paris, France
| | - D Grevent
- EA FETUS 7328 and LUMIERE Unit, Université de Paris-Cité, Paris, France
- Radiology Department, Hôpital Necker-Enfants Malades, AP-HP, Paris, France
| | - O Picone
- Obstetrics and Gynecology Department, Hôpital Louis-Mourier, AP-HP, Colombes, France
- Inserm IAME-U1137, Paris, France
- FHU PREMA, Paris, France
| | - L Mandelbrot
- Obstetrics and Gynecology Department, Hôpital Louis-Mourier, AP-HP, Colombes, France
- Inserm IAME-U1137, Paris, France
- FHU PREMA, Paris, France
| | - H Mahallati
- Department of Radiology, University of Calgary, Calgary, AB, Canada
| | - N Briand
- Clinical Unit Research/Clinic Investigation Center, Paris Descartes University, Hôpital Necker-Enfants Malades, AP-HP, Paris, France
| | - C Elie
- Clinical Unit Research/Clinic Investigation Center, Paris Descartes University, Hôpital Necker-Enfants Malades, AP-HP, Paris, France
| | - N Siauve
- Radiology Department, Hôpital Louis-Mourier, AP-HP, Colombes, France
- INSERM-U970, Paris Cardiovascular Research Center (PARCC), Sorbonne Paris Cité, Paris, France
| | - L J Salomon
- Obstetrics and Gynecology Department, Hôpital Necker-Enfants Malades, AP-HP, Paris, France
- EA FETUS 7328 and LUMIERE Unit, Université de Paris-Cité, Paris, France
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5
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Cromb D, Slator P, Hall M, Price A, Alexander D, Counsell S, Hutter J. Advanced magnetic resonance imaging detects altered placental development in pregnancies affected by congenital heart disease. RESEARCH SQUARE 2024:rs.3.rs-3873412. [PMID: 38343847 PMCID: PMC10854304 DOI: 10.21203/rs.3.rs-3873412/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/17/2024]
Abstract
Congenital heart disease (CHD) is the most common congenital malformation and is associated with adverse neurodevelopmental outcomes. The placenta is crucial for healthy fetal development and placental development is altered in pregnancy when the fetus has CHD. This study utilized advanced combined diffusion-relaxation MRI and a data-driven analysis technique to test the hypothesis that placental microstructure and perfusion are altered in CHD-affected pregnancies. 48 participants (36 controls, 12 CHD) underwent 67 MRI scans (50 control, 17 CHD). Significant differences in the weighting of two independent placental and uterine-wall tissue components were identified between the CHD and control groups (both pFDR<0.001), with changes most evident after 30 weeks gestation. A Significant trend over gestation in weighting for a third independent tissue component was also observed in the CHD cohort (R = 0.50, pFDR=0.04), but not in controls. These findings add to existing evidence that placental development is altered in CHD. The results may reflect alterations in placental perfusion or the changes in fetal-placental flow, villous structure and maturation that occur in CHD. Further research is needed to validate and better understand these findings and to understand the relationship between placental development, CHD, and its neurodevelopmental implications.
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6
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Slator PJ, Cromb D, Jackson LH, Ho A, Counsell SJ, Story L, Chappell LC, Rutherford M, Hajnal JV, Hutter J, Alexander DC. Non-invasive mapping of human placenta microenvironments throughout pregnancy with diffusion-relaxation MRI. Placenta 2023; 144:29-37. [PMID: 37952367 DOI: 10.1016/j.placenta.2023.11.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 10/13/2023] [Accepted: 11/01/2023] [Indexed: 11/14/2023]
Abstract
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.
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Affiliation(s)
- Paddy J Slator
- Cardiff University Brain Research Imaging Centre, School of Psychology, Maindy Road, Cardiff, CF24 4HQ, UK; School of Computer Science and Informatics, Cardiff University, Cardiff, UK; Centre for Medical Image Computing and Department of Computer Science, University College London, London, UK.
| | - Daniel Cromb
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Laurence H Jackson
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Alison Ho
- Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK
| | - Serena J Counsell
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Lisa Story
- Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK
| | - Lucy C Chappell
- Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK
| | - Mary Rutherford
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Joseph V Hajnal
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Jana Hutter
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Daniel C Alexander
- Centre for Medical Image Computing and Department of Computer Science, University College London, London, UK
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Sun Z, Wu W, Zhao P, Wang Q, Woodard PK, Nelson DM, Odibo A, Cahill A, Wang Y. Association of intraplacental oxygenation patterns on dual-contrast MRI with placental abnormality and fetal brain oxygenation. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2023; 61:215-223. [PMID: 35638228 PMCID: PMC9708928 DOI: 10.1002/uog.24959] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 05/15/2022] [Accepted: 05/19/2022] [Indexed: 05/27/2023]
Abstract
OBJECTIVES Most human in-vivo placental imaging techniques are unable to distinguish and characterize various placental compartments, such as the intervillous space (IVS), placental vessels (PV) and placental tissue (PT), limiting their specificity. We describe a method that employs T2* and diffusion-weighted magnetic resonance imaging (MRI) data to differentiate automatically placental compartments, quantify their oxygenation properties and identify placental lesions (PL) in vivo. We also investigate the association between placental oxygenation patterns and fetal brain oxygenation. METHODS This was a prospective study conducted between 2018 and 2021 in which dual-contrast clinical MRI data (T2* and diffusion-weighted MRI) were acquired from patients between 20 and 38 weeks' gestation. We trained a fuzzy clustering method to analyze T2* and diffusion-weighted MRI data and assign placental voxels to one of four clusters, based on their distinct imaging domain features. The new method divided automatically the placenta into IVS, PV, PT and PL compartments and characterized their oxygenation changes throughout pregnancy. RESULTS A total of 27 patients were recruited, of whom five developed pregnancy complications. Total placental oxygenation level and T2* did not demonstrate a statistically significant temporal correlation with gestational age (GA) (R2 = 0.060, P = 0.27). In contrast, the oxygenation level reflected by T2* values in the placental IVS (R2 = 0.51, P = 0.0002) and PV (R2 = 0.76, P = 1.1 × 10-7 ) decreased significantly with advancing GA. Oxygenation levels in the PT did not show any temporal change during pregnancy (R2 = 0.00044, P = 0.93). A strong spatial-dependent correlation between PV oxygenation level and GA was observed. The strongest negative correlation between PV oxygenation and GA (R2 = 0.73, P = 4.5 × 10-7 ) was found at the fetal-vessel-dominated region close to the chorionic plate. The location and extent of the placental abnormality were automatically delineated and quantified in the five women with clinically confirmed placental pathology. Compared to the averaged total placental oxygenation, placental IVS oxygenation level best reflected fetal brain oxygenation level during fetal development. CONCLUSION Based on clinically feasible dual-MRI, our method enables accurate spatiotemporal quantification of placental compartment and fetal brain oxygenation across different GAs. This information should improve our knowledge of human placenta development and its relationship with normal and abnormal pregnancy. © 2022 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
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Affiliation(s)
- Z. Sun
- Department of Biomedical EngineeringWashington University in St LouisSt LouisMOUSA
- Department of Obstetrics and GynecologyWashington University School of Medicine, Washington University in St LouisSt LouisMOUSA
| | - W. Wu
- Department of Biomedical EngineeringWashington University in St LouisSt LouisMOUSA
- Department of Obstetrics and GynecologyWashington University School of Medicine, Washington University in St LouisSt LouisMOUSA
| | - P. Zhao
- Department of Obstetrics and GynecologyWashington University School of Medicine, Washington University in St LouisSt LouisMOUSA
| | - Q. Wang
- Mallinckrodt Institute of RadiologyWashington University School of Medicine, Washington University in St LouisSt LouisMOUSA
| | - P. K. Woodard
- Department of Biomedical EngineeringWashington University in St LouisSt LouisMOUSA
- Mallinckrodt Institute of RadiologyWashington University School of Medicine, Washington University in St LouisSt LouisMOUSA
| | - D. M. Nelson
- Department of Obstetrics and GynecologyWashington University School of Medicine, Washington University in St LouisSt LouisMOUSA
| | - A. Odibo
- Department of Obstetrics and GynecologyWashington University School of Medicine, Washington University in St LouisSt LouisMOUSA
| | - A. Cahill
- Department of Women's HealthUniversity of Texas at Austin, Dell Medical SchoolAustinTXUSA
| | - Y. Wang
- Department of Biomedical EngineeringWashington University in St LouisSt LouisMOUSA
- Department of Obstetrics and GynecologyWashington University School of Medicine, Washington University in St LouisSt LouisMOUSA
- Mallinckrodt Institute of RadiologyWashington University School of Medicine, Washington University in St LouisSt LouisMOUSA
- Department of Electrical & Systems EngineeringWashington University in St LouisSt LouisMOUSA
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8
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David AL, Spencer RN. Clinical Assessment of Fetal Well-Being and Fetal Safety Indicators. J Clin Pharmacol 2022; 62 Suppl 1:S67-S78. [PMID: 36106777 PMCID: PMC9544851 DOI: 10.1002/jcph.2126] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 07/24/2022] [Indexed: 12/03/2022]
Abstract
Delivering safe clinical trials of novel therapeutics is central to enable pregnant women and their babies to access medicines for better outcomes. This review describes clinical monitoring of fetal well-being and safety. Current pregnancy surveillance includes regular antenatal checks of blood pressure and urine for signs of gestational hypertension. Fetal and placental development is assessed routinely using the first-trimester "dating" and mid-trimester "anomaly" ultrasound scans, but the detection of fetal anomalies can continue throughout pregnancy using targeted sonography or magnetic resonance imaging (MRI). Serial sonography can be used to assess fetal size, well-being, and placental function. Carefully defined reproducible imaging parameters, such as the head circumference (HC), abdominal circumference (AC), and femur length (FL), are combined to calculate an estimate of the fetal weight. Doppler analysis of maternal uterine blood flow predicts placental insufficiency, which is associated with poor fetal growth. Fetal doppler analysis can indicate circulatory decompensation and fetal hypoxia, requiring delivery to be expedited. Novel ways to assess fetal well-being and placental function using MRI, computerized cardiotocography (CTG), serum circulating fetoplacental proteins, and mRNA may improve the assessment of the safety and efficacy of maternal and fetal interventions. Progress has been made in how to define and grade clinical trial safety in pregnant women, the fetus, and neonate. A new system for improved safety monitoring for clinical trials in pregnancy, Maternal and Fetal Adverse Event Terminology (MFAET), describes 12 maternal and 18 fetal adverse event (AE) definitions and severity grading criteria developed through an international modified Delphi consensus process. This fills a vital gap in maternal and fetal translational medicine research.
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Affiliation(s)
- Anna L. David
- Elizabeth Garrett Anderson Institute for Women's HealthUniversity College LondonLondonUK
- National Institute for Health and Care Research (NIHR) University College London Hospitals NHS Foundation Trust (UCLH)Biomedical Research CentreLondonUK
| | - Rebecca N. Spencer
- Elizabeth Garrett Anderson Institute for Women's HealthUniversity College LondonLondonUK
- School of MedicineUniversity of LeedsLeedsUK
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9
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King VJ, Bennet L, Stone PR, Clark A, Gunn AJ, Dhillon SK. Fetal growth restriction and stillbirth: Biomarkers for identifying at risk fetuses. Front Physiol 2022; 13:959750. [PMID: 36060697 PMCID: PMC9437293 DOI: 10.3389/fphys.2022.959750] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 07/29/2022] [Indexed: 11/13/2022] Open
Abstract
Fetal growth restriction (FGR) is a major cause of stillbirth, prematurity and impaired neurodevelopment. Its etiology is multifactorial, but many cases are related to impaired placental development and dysfunction, with reduced nutrient and oxygen supply. The fetus has a remarkable ability to respond to hypoxic challenges and mounts protective adaptations to match growth to reduced nutrient availability. However, with progressive placental dysfunction, chronic hypoxia may progress to a level where fetus can no longer adapt, or there may be superimposed acute hypoxic events. Improving detection and effective monitoring of progression is critical for the management of complicated pregnancies to balance the risk of worsening fetal oxygen deprivation in utero, against the consequences of iatrogenic preterm birth. Current surveillance modalities include frequent fetal Doppler ultrasound, and fetal heart rate monitoring. However, nearly half of FGR cases are not detected in utero, and conventional surveillance does not prevent a high proportion of stillbirths. We review diagnostic challenges and limitations in current screening and monitoring practices and discuss potential ways to better identify FGR, and, critically, to identify the “tipping point” when a chronically hypoxic fetus is at risk of progressive acidosis and stillbirth.
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Affiliation(s)
- Victoria J. King
- Fetal Physiology and Neuroscience Group, Department of Physiology, The University of Auckland, Auckland, New Zealand
| | - Laura Bennet
- Fetal Physiology and Neuroscience Group, Department of Physiology, The University of Auckland, Auckland, New Zealand
| | - Peter R. Stone
- Department of Obstetrics and Gynaecology, The University of Auckland, Auckland, New Zealand
| | - Alys Clark
- Department of Obstetrics and Gynaecology, The University of Auckland, Auckland, New Zealand
- Auckland Biomedical Engineering Institute, The University of Auckland, Auckland, New Zealand
| | - Alistair J. Gunn
- Fetal Physiology and Neuroscience Group, Department of Physiology, The University of Auckland, Auckland, New Zealand
| | - Simerdeep K. Dhillon
- Fetal Physiology and Neuroscience Group, Department of Physiology, The University of Auckland, Auckland, New Zealand
- *Correspondence: Simerdeep K. Dhillon,
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10
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Schabel MC, Roberts VHJ, Gibbins KJ, Rincon M, Gaffney JE, Streblow AD, Wright AM, Lo JO, Park B, Kroenke CD, Szczotka K, Blue NR, Page JM, Harvey K, Varner MW, Silver RM, Frias AE. Quantitative longitudinal T2* mapping for assessing placental function and association with adverse pregnancy outcomes across gestation. PLoS One 2022; 17:e0270360. [PMID: 35853003 PMCID: PMC9295947 DOI: 10.1371/journal.pone.0270360] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 06/09/2022] [Indexed: 11/21/2022] Open
Abstract
Existing methods for evaluating in vivo placental function fail to reliably detect pregnancies at-risk for adverse outcomes prior to maternal and/or fetal morbidity. Here we report the results of a prospective dual-site longitudinal clinical study of quantitative placental T2* as measured by blood oxygen-level dependent magnetic resonance imaging (BOLD-MRI). The objectives of this study were: 1) to quantify placental T2* at multiple time points across gestation, and its consistency across sites, and 2) to investigate the association between placental T2* and adverse outcomes. 797 successful imaging studies, at up to three time points between 11 and 38 weeks of gestation, were completed in 316 pregnancies. Outcomes were stratified into three groups: (UN) uncomplicated/normal pregnancy, (PA) primary adverse pregnancy, which included hypertensive disorders of pregnancy, birthweight <5th percentile, and/or stillbirth or fetal death, and (SA) secondary abnormal pregnancy, which included abnormal prenatal conditions not included in the PA group such as spontaneous preterm birth or fetal anomalies. Of the 316 pregnancies, 198 (62.6%) were UN, 70 (22.2%) PA, and 48 (15.2%) SA outcomes. We found that the evolution of placental T2* across gestation was well described by a sigmoid model, with T2* decreasing continuously from a high plateau level early in gestation, through an inflection point around 30 weeks, and finally approaching a second, lower plateau in late gestation. Model regression revealed significantly lower T2* in the PA group than in UN pregnancies starting at 15 weeks and continuing through 33 weeks. T2* percentiles were computed for individual scans relative to UN group regression, and z-scores and receiver operating characteristic (ROC) curves calculated for association of T2* with pregnancy outcome. Overall, differences between UN and PA groups were statistically significant across gestation, with large effect sizes in mid- and late- pregnancy. The area under the curve (AUC) for placental T2* percentile and PA pregnancy outcome was 0.71, with the strongest predictive power (AUC of 0.76) at the mid-gestation time period (20–30 weeks). Our data demonstrate that placental T2* measurements are strongly associated with pregnancy outcomes often attributed to placental insufficiency. Trial registration: ClinicalTrials.gov: NCT02749851.
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Affiliation(s)
- Matthias C. Schabel
- Advanced Imaging Research Center, Oregon Health and Science University (OHSU), Portland, Oregon, United States of America
| | - Victoria H. J. Roberts
- Division of Reproductive and Developmental Sciences, Oregon National Primate Research Center (ONPRC), OHSU, Portland, Oregon, United States of America
- * E-mail:
| | - Karen J. Gibbins
- Department of Obstetrics and Gynecology, OHSU, Portland, Oregon, United States of America
| | - Monica Rincon
- Department of Obstetrics and Gynecology, OHSU, Portland, Oregon, United States of America
| | - Jessica E. Gaffney
- Division of Reproductive and Developmental Sciences, Oregon National Primate Research Center (ONPRC), OHSU, Portland, Oregon, United States of America
| | - Aaron D. Streblow
- Division of Reproductive and Developmental Sciences, Oregon National Primate Research Center (ONPRC), OHSU, Portland, Oregon, United States of America
| | - Adam M. Wright
- Division of Reproductive and Developmental Sciences, Oregon National Primate Research Center (ONPRC), OHSU, Portland, Oregon, United States of America
| | - Jamie O. Lo
- Division of Reproductive and Developmental Sciences, Oregon National Primate Research Center (ONPRC), OHSU, Portland, Oregon, United States of America
- Department of Obstetrics and Gynecology, OHSU, Portland, Oregon, United States of America
| | - Byung Park
- Biostatistics Shared Resource, Knight Cancer Institute, OHSU, Portland, Oregon, United States of America
| | - Christopher D. Kroenke
- Advanced Imaging Research Center, Oregon Health and Science University (OHSU), Portland, Oregon, United States of America
- Division of Neuroscience, ONPRC, OHSU, Portland, Oregon, United States of America
| | - Kathryn Szczotka
- Department of Obstetrics and Gynecology, University of Utah, Salt Lake City, Utah, United States of America
| | - Nathan R. Blue
- Department of Obstetrics and Gynecology, University of Utah, Salt Lake City, Utah, United States of America
| | - Jessica M. Page
- Department of Obstetrics and Gynecology, University of Utah, Salt Lake City, Utah, United States of America
| | - Kathy Harvey
- Department of Obstetrics and Gynecology, University of Utah, Salt Lake City, Utah, United States of America
| | - Michael W. Varner
- Department of Obstetrics and Gynecology, University of Utah, Salt Lake City, Utah, United States of America
| | - Robert M. Silver
- Department of Obstetrics and Gynecology, University of Utah, Salt Lake City, Utah, United States of America
| | - Antonio E. Frias
- Department of Obstetrics and Gynecology, OHSU, Portland, Oregon, United States of America
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11
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Evaluation of placental oxygenation in fetal growth restriction using blood oxygen level-dependent magnetic resonance imaging. Placenta 2022; 126:40-45. [PMID: 35750000 DOI: 10.1016/j.placenta.2022.06.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 06/13/2022] [Accepted: 06/15/2022] [Indexed: 11/22/2022]
Abstract
INTRODUCTION Abnormalities in placental function can lead to fetal growth restriction (FGR), but there is no consensus on their evaluation. Using blood oxygen level-dependent magnetic resonance imaging (BOLD MRI), we compared placental oxygenation between FGR cases and previously reported normal pregnancies. METHODS Eight singleton pregnant women (>32 weeks of gestation) diagnosed with fetal growth failure during pregnancy were recruited. BOLD MRI was consecutively performed under normoxia (21% O2), hyperoxia (100% O2), and normoxia for 4 min each. Each placental time-activity curve was evaluated to calculate the peak score (peakΔR2*) and the time from the start of maternal oxygen administration to the time of peakΔR2* (time to peakΔR2*). In six of the eight FGR cases, placental FGR-related pathological findings were evaluated after delivery. RESULTS The parameter peakΔR2* was significantly decreased in the FGR group (8 ± 3 vs 6 ± 1, p < 0.001), but there was no significant difference in time to peakΔR2* (458 ± 74 s vs 468 ± 57 s, p = 0.750). The findings in the six FGR cases assessed for placental pathologies included chorangiosis in two cases, avascular chorions in two cases, placental infarction in two cases, and syncytial knot formation in one case. DISCUSSION The peakΔR2* values were lower in the FGR group than in the normal pregnancy group. This suggests that oxygenation of the placenta is decreased in the FGR group compared to the normal group, and this may be related to FGR. Placental pathology also revealed findings possibly related to FGR, suggesting that low peakΔR2* values in the FGR group may reflect placental dysfunction.
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12
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Micro-haemodynamics at the maternal–fetal interface: experimental, theoretical and clinical perspectives. CURRENT OPINION IN BIOMEDICAL ENGINEERING 2022. [DOI: 10.1016/j.cobme.2022.100387] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
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13
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Malmberg M, Kragsterman E, Sinding M, Hansen DN, Peters DA, Frøkjær JB, Petersen AC, Sørensen A. Perfusion fraction derived from IVIM analysis of diffusion-weighted MRI in the assessment of placental vascular malperfusion antenatally. Placenta 2022; 119:1-7. [DOI: 10.1016/j.placenta.2022.01.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Revised: 12/19/2021] [Accepted: 01/05/2022] [Indexed: 12/16/2022]
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14
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Garbow JR, Neil JJ. Editorial on "Ex vivo MRI of the Normal Human Placenta: Structural-Functional Interplay and the Association With Birth Weight". J Magn Reson Imaging 2021; 56:145-146. [PMID: 34873770 DOI: 10.1002/jmri.28020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 11/26/2021] [Indexed: 11/07/2022] Open
Affiliation(s)
- Joel R Garbow
- Department of Radiology, St. Louis, Missouri, USA.,The Alvin J Siteman Cancer Center, St. Louis, Missouri, USA
| | - Jeffrey J Neil
- Department of Radiology, St. Louis, Missouri, USA.,Department of Neurology, St. Louis, Missouri, USA
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15
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Slator PJ, Palombo M, Miller KL, Westin C, Laun F, Kim D, Haldar JP, Benjamini D, Lemberskiy G, de Almeida Martins JP, Hutter J. Combined diffusion-relaxometry microstructure imaging: Current status and future prospects. Magn Reson Med 2021; 86:2987-3011. [PMID: 34411331 PMCID: PMC8568657 DOI: 10.1002/mrm.28963] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Revised: 06/25/2021] [Accepted: 07/20/2021] [Indexed: 12/15/2022]
Abstract
Microstructure imaging seeks to noninvasively measure and map microscopic tissue features by pairing mathematical modeling with tailored MRI protocols. This article reviews an emerging paradigm that has the potential to provide a more detailed assessment of tissue microstructure-combined diffusion-relaxometry imaging. Combined diffusion-relaxometry acquisitions vary multiple MR contrast encodings-such as b-value, gradient direction, inversion time, and echo time-in a multidimensional acquisition space. When paired with suitable analysis techniques, this enables quantification of correlations and coupling between multiple MR parameters-such as diffusivity, T 1 , T 2 , and T 2 ∗ . This opens the possibility of disentangling multiple tissue compartments (within voxels) that are indistinguishable with single-contrast scans, enabling a new generation of microstructural maps with improved biological sensitivity and specificity.
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Affiliation(s)
- Paddy J. Slator
- Centre for Medical Image ComputingDepartment of Computer ScienceUniversity College LondonLondonUK
| | - Marco Palombo
- Centre for Medical Image ComputingDepartment of Computer ScienceUniversity College LondonLondonUK
| | - Karla L. Miller
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK
| | - Carl‐Fredrik Westin
- Department of RadiologyBrigham and Women’s HospitalHarvard Medical SchoolBostonMAUSA
| | - Frederik Laun
- Institute of RadiologyUniversity Hospital ErlangenFriedrich‐Alexander‐Universität Erlangen‐Nürnberg (FAU)ErlangenGermany
| | - Daeun Kim
- Ming Hsieh Department of Electrical and Computer EngineeringUniversity of Southern CaliforniaLos AngelesCAUSA
- Signal and Image Processing InstituteUniversity of Southern CaliforniaLos AngelesCAUSA
| | - Justin P. Haldar
- Ming Hsieh Department of Electrical and Computer EngineeringUniversity of Southern CaliforniaLos AngelesCAUSA
- Signal and Image Processing InstituteUniversity of Southern CaliforniaLos AngelesCAUSA
| | - Dan Benjamini
- The Eunice Kennedy Shriver National Institute of Child Health and Human DevelopmentBethesdaMDUSA
- The Center for Neuroscience and Regenerative MedicineUniformed Service University of the Health SciencesBethesdaMDUSA
| | | | - Joao P. de Almeida Martins
- Division of Physical Chemistry, Department of ChemistryLund UniversityLundSweden
- Department of Radiology and Nuclear MedicineSt. Olav’s University HospitalTrondheimNorway
| | - Jana Hutter
- Centre for Biomedical EngineeringSchool of Biomedical Engineering and ImagingKing’s College LondonLondonUK
- Centre for the Developing BrainSchool of Biomedical Engineering and ImagingKing’s College LondonLondonUK
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16
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Link-Sourani D, Avisdris N, Harel S, Ben-Sira L, Ganot T, Gordon Z, Many A, Ben Bashat D. Ex-Vivo MRI of the Normal Human Placenta: Structural-Functional Interplay and the Association With Birth Weight. J Magn Reson Imaging 2021; 56:134-144. [PMID: 34799945 DOI: 10.1002/jmri.28002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 11/05/2021] [Accepted: 11/08/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Advanced magnetic resonance imaging (MRI) methods are increasingly being used to assess the human placenta. Yet, the structure-function interplay in normal placentas and their associations with pregnancy risks are not fully understood. PURPOSE To characterize the normal human placental structure (volume and umbilical cord centricity index (CI)) and function (perfusion) ex-vivo using MRI, to assess their association with birth weight (BW), and identify imaging-markers for placentas at risk for dysfunction. STUDY TYPE Prospective. POPULATION Twenty normal term ex-vivo placentas. FIELD STRENGTH/SEQUENCE 3 T/ T1 and T2 weighted (T1 W, T2 W) turbo spin-echo, three-dimensional susceptibility-weighted image, and time-resolved angiography with interleaved stochastic trajectories (TWIST), during passage of a contrast agent using MRI compatible perfusion system that mimics placental flow. ASSESSMENT Placental volume and CI were manually extracted from the T1 W images by a fetal-placental MRI scientist (D.L., 7 years of experience). Perfusion maps including bolus arrival-time and full-width at half maximum were calculated from the TWIST data. Mean values, entropy, and asymmetries were calculated from each perfusion map, relating to both the whole placenta and volumes of interest (VOIs) within the umbilical cord and its daughter blood vessels. STATISTICAL TESTS Pearson correlations with correction for multiple comparisons using false discovery rate were performed between structural and functional parameters, and with BW, with P < 0.05 considered significant. RESULTS All placentas were successfully perfused and scanned. Significant correlations were found between whole placenta and VOIs perfusion parameters (mean R = 0.76 ± 0.06, range = 0.67-0.89), which were also significantly correlated with CI (mean R = 0.72 ± 0.05, range = 0.65-0.79). BW was correlated with placental volume (R = 0.62), but not with CI (P = 0.40). BW was also correlated with local perfusion asymmetry (R = -0.71). DATA CONCLUSION Results demonstrate a gradient of placental function, associated with CI and suggest several ex-vivo imaging-markers that might indicate an increased risk for placental dysfunction. LEVEL OF EVIDENCE 1 TECHNICAL EFFICACY: Stage 1.
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Affiliation(s)
| | - Netanell Avisdris
- Sagol Brain Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.,School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Shaul Harel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Pediatric Neurology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Liat Ben-Sira
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Division of Pediatric Radiology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.,Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Tuvia Ganot
- Sagol Brain Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Zoya Gordon
- Department of Obstetrics and Gynecology, Lis Maternity Hospital, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.,Department of Medical Engineering, Afeka, Tel Aviv Academic College of Engineering, Tel Aviv, Israel
| | - Ariel Many
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Department of Obstetrics and Gynecology, Lis Maternity Hospital, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Dafna Ben Bashat
- Sagol Brain Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
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17
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Stout JN, Liao C, Gagoski B, Turk EA, Feldman HA, Bibbo C, Barth WH, Shainker SA, Wald LL, Grant PE, Adalsteinsson E. Quantitative T 1 and T 2 mapping by magnetic resonance fingerprinting (MRF) of the placenta before and after maternal hyperoxia. Placenta 2021; 114:124-132. [PMID: 34537569 DOI: 10.1016/j.placenta.2021.08.058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 06/16/2021] [Accepted: 08/05/2021] [Indexed: 11/13/2022]
Abstract
INTRODUCTION MR relaxometry has been used to assess placental exchange function, but methods to date are not sufficiently fast to be robust to placental motion. Magnetic resonance fingerprinting (MRF) permits rapid, voxel-wise, intrinsically co-registered T1 and T2 mapping. After characterizing measurement error, we scanned pregnant women during air and oxygen breathing to demonstrate MRF's ability to detect placental oxygenation changes. METHODS The accuracy of FISP-based, sliding-window reconstructed MRF was tested on phantoms. MRF scans in 9-s breath holds were acquired at 3T in 31 pregnant women during air and oxygen breathing. A mixed effects model was used to test for changes in placenta relaxation times between physiological states, to assess the dependency on gestational age (GA), and the impact of placental motion. RESULTS MRF estimates of known phantom relaxation times resulted in mean absolute errors for T1 of 92 ms (4.8%), but T2 was less accurate at 16 ms (13.6%). During normoxia, placental T1 = 1825 ± 141 ms (avg ± standard deviation) and T2 = 60 ± 16 ms (gestational age range 24.3-36.7, median 32.6 weeks). In the statistical model, placental T2 rose and T1 remained contant after hyperoxia, and no GA dependency was observed for T1 or T2. DISCUSSION Well-characterized, motion-robust MRF was used to acquire T1 and T2 maps of the placenta. Changes with hyperoxia are consistent with a net increase in oxygen saturation. Toward the goal of whole-placenta quantitative oxygenation imaging over time, we aim to implement 3D MRF with integrated motion correction to improve T2 accuracy.
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Affiliation(s)
- Jeffrey N Stout
- Fetal and Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA, 02115, USA.
| | - Congyu Liao
- Department of Radiology, Stanford University, Stanford, CA, 94305, USA
| | - Borjan Gagoski
- Fetal and Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA, 02115, USA
| | - Esra Abaci Turk
- Fetal and Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA, 02115, USA
| | - Henry A Feldman
- Centers for Clinical and Translational Research, Boston Children's Hospital, Boston, MA, 02115, USA
| | - Carolina Bibbo
- Brigham and Women's Hospital, Division of Maternal-Fetal Medicine, Boston, MA, 02115, USA
| | - William H Barth
- Maternal-Fetal Medicine, Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Scott A Shainker
- Maternal-Fetal Medicine, Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA, 02115, USA
| | - Lawrence L Wald
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, 02129, USA
| | - P Ellen Grant
- Fetal and Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA, 02115, USA
| | - Elfar Adalsteinsson
- Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
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18
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Andersen AS, Anderson KB, Hansen DN, Sinding M, Petersen AC, Peters DA, Frøkjær JB, Sørensen A. Placental MRI: Longitudinal relaxation time (T1) in appropriate and small for gestational age pregnancies. Placenta 2021; 114:76-82. [PMID: 34482232 DOI: 10.1016/j.placenta.2021.08.057] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 06/08/2021] [Accepted: 08/05/2021] [Indexed: 01/26/2023]
Abstract
OBJECTIVE The antenatal detection of small for gestational age (SGA) pregnancies is a challenge, which may be improved by placental MRI. The longitudinal relaxation time (T1) is a tissue constant related to tissue morphology and tissue oxygenation, thereby placental T1 may be related to placental function. The aim of this study is to investigate placental T1 in appropriate for gestational age (AGA) and SGA pregnancies. METHODS A total of 132 singleton pregnancies were retrieved from our MRI research database. MRI and ultrasound estimated fetal weight (EFW) was performed at gestational week 20.6-41.7 in a 1.5 T system. SGA was defined as BW ≤ -15% of the expected for gestational age (≤10th centile). A subgroup of SGA pregnancies underwent postnatal placental histological examination (PHE) and abnormal PHE was defined as vascular malperfusion. The placental T1 values were converted into Z-scores adjusted for gestational age at MRI. The predictive performance of placental T1 and EFW was compared by receiver operating curves (ROC). RESULTS In AGA pregnancies, placental T1 showed a negative linear correlation with gestational age (r = -0.36, p = 0.004) Placental T1 was significantly reduced in SGA pregnancies (mean Z-score = -0.34) when compared to AGA pregnancies, p = 0.03. Among SGA pregnancies placental T1 was not reduced in cases with abnormal PHE, p = 0.84. The predictive performance of EFW (AUC = 0.84, 95% CI, 0.77-0.91) was significantly stronger than placental T1 (AUC = 0.62, 95% CI, 0.52-0.72) (p = 0.002). DISCUSSION A low placental T1 relaxation time is associated with SGA at birth. However, the predictive performance of placental T1 is not as strong as EFW.
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Affiliation(s)
- Anna S Andersen
- Department of Obstetrics and Gynecology, Aalborg University Hospital, Reberbansgade 15, 9000, Aalborg, Denmark.
| | - Kristi B Anderson
- Department of Pathology, Aalborg University Hospital, Ladegaardsgade 3, 9000, Aalborg, Denmark.
| | - Ditte N Hansen
- Department of Obstetrics and Gynecology, Aalborg University Hospital, Reberbansgade 15, 9000, Aalborg, Denmark; Department of Clinical Medicine, Aalborg University, Sdr. Skovvej 15, 9000, Aalborg, Denmark.
| | - Marianne Sinding
- Department of Obstetrics and Gynecology, Aalborg University Hospital, Reberbansgade 15, 9000, Aalborg, Denmark; Department of Clinical Medicine, Aalborg University, Sdr. Skovvej 15, 9000, Aalborg, Denmark.
| | - Astrid C Petersen
- Department of Pathology, Aalborg University Hospital, Ladegaardsgade 3, 9000, Aalborg, Denmark.
| | - David A Peters
- Department of Clinical Engineering, Central Denmark Region, Nørrebrogade 44, 8000, Aarhus C, Denmark.
| | - Jens B Frøkjær
- Department of Clinical Medicine, Aalborg University, Sdr. Skovvej 15, 9000, Aalborg, Denmark; Department of Radiology, Aalborg University Hospital, Hobrovej 18-22, 9000, Aalborg, Denmark.
| | - Anne Sørensen
- Department of Obstetrics and Gynecology, Aalborg University Hospital, Reberbansgade 15, 9000, Aalborg, Denmark; Department of Clinical Medicine, Aalborg University, Sdr. Skovvej 15, 9000, Aalborg, Denmark.
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19
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Pietsch M, Ho A, Bardanzellu A, Zeidan AMA, Chappell LC, Hajnal JV, Rutherford M, Hutter J. APPLAUSE: Automatic Prediction of PLAcental health via U-net Segmentation and statistical Evaluation. Med Image Anal 2021; 72:102145. [PMID: 34229190 PMCID: PMC8350147 DOI: 10.1016/j.media.2021.102145] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 04/26/2021] [Accepted: 06/21/2021] [Indexed: 02/04/2023]
Abstract
PURPOSE Artificial-intelligence population-based automated quantification of placental maturation and health from a rapid functional Magnetic Resonance scan. The placenta plays a crucial role for any successful human pregnancy. Deviations from the normal dynamic maturation throughout gestation are closely linked to major pregnancy complications. Antenatal assessment in-vivo using T2* relaxometry has shown great promise to inform management and possible interventions but clinical translation is hampered by time consuming manual segmentation and analysis techniques based on comparison against normative curves over gestation. METHODS This study proposes a fully automatic pipeline to predict the biological age and health of the placenta based on a free-breathing rapid (sub-30 second) T2* scan in two steps: Automatic segmentation using a U-Net and a Gaussian process regression model to characterize placental maturation and health. These are trained and evaluated on 108 3T MRI placental data sets, the evaluation included 20 high-risk pregnancies diagnosed with pre-eclampsia and/or fetal growth restriction. An independent cohort imaged at 1.5 T is used to assess the generalization of the training and evaluation pipeline. RESULTS Across low- and high-risk groups, automatic segmentation performs worse than inter-rater performance (mean Dice coefficients of 0.58 and 0.68, respectively) but is sufficient for estimating placental mean T2* (0.986 Pearson Correlation Coefficient). The placental health prediction achieves an excellent ability to differentiate cases of placental insufficiency between 27 and 33 weeks. High abnormality scores correlate with low birth weight, premature birth and histopathological findings. Retrospective application on a different cohort imaged at 1.5 T illustrates the ability for direct clinical translation. CONCLUSION The presented automatic pipeline facilitates a fast, robust and reliable prediction of placental maturation. It yields human-interpretable and verifiable intermediate results and quantifies uncertainties on the cohort-level and for individual predictions. The proposed machine-learning pipeline runs in close to real-time and, deployed in clinical settings, has the potential to become a cornerstone of diagnosis and intervention of placental insufficiency. APPLAUSE generalizes to an independent cohort imaged at 1.5 T, demonstrating robustness to different operational and clinical environments.
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Affiliation(s)
- Maximilian Pietsch
- Centre for Medical Engineering, King's College London, London, UK; Centre for the Developing Brain, King's College London, London, UK.
| | - Alison Ho
- Department of Women and Children's Health, King's College London, London, UK
| | - Alessia Bardanzellu
- Centre for Medical Engineering, King's College London, London, UK; Centre for the Developing Brain, King's College London, London, UK
| | - Aya Mutaz Ahmad Zeidan
- Centre for Medical Engineering, King's College London, London, UK; Centre for the Developing Brain, King's College London, London, UK
| | - Lucy C Chappell
- Department of Women and Children's Health, King's College London, London, UK
| | - Joseph V Hajnal
- Centre for Medical Engineering, King's College London, London, UK; Centre for the Developing Brain, King's College London, London, UK
| | - Mary Rutherford
- Centre for Medical Engineering, King's College London, London, UK; Centre for the Developing Brain, King's College London, London, UK
| | - Jana Hutter
- Centre for Medical Engineering, King's College London, London, UK; Centre for the Developing Brain, King's College London, London, UK
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20
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Hutter J, Ho A, Jackson LH, Slator PJ, Chappell LC, Hajnal JV, Rutherford MA. An efficient and combined placental T 1 -ADC acquisition in pregnancies with and without pre-eclampsia. Magn Reson Med 2021; 86:2684-2691. [PMID: 34268807 DOI: 10.1002/mrm.28809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 03/15/2021] [Accepted: 03/26/2021] [Indexed: 11/07/2022]
Abstract
PURPOSE To provide a new approach to jointly assess microstructural and molecular properties of the human placenta in vivo fast and efficiently and to present initial evidence in cohorts of healthy pregnancies and those affected by pre-eclampsia. METHODS Slice and diffusion preparation shuffling, built on the previously proposed ZEBRA method, is presented as a robust and fast way to obtain T 1 and apparent diffusivity coefficient (ADC) values. Joint modeling and evaluation is performed on a cohort of healthy and pre-eclamptic participants at 3T. RESULTS The datasets show the ability to obtain robust and fast T 1 -ADC measurements. Significant decay over gestation in T 1 (-11 ms/week, P < . 05 ) and a trend toward significance in ADC (-0.23 mm/ s 2 /week, P = .08) values can be observed in a control cohort. Values for the pre-eclamptic pregnancies show a negative trend for both ADC and T 1 . CONCLUSIONS The presented sequence allows the simultaneous acquisition of 2 of the most promising quantitative parameters to study placental insufficiency-identified individually as relevant in previous studies-in under 2 minutes. This allows dynamic assessment of physiological processes, reduced inconsistency in spatial comparisons due to reduced motion artefacts and opens novel avenues for analysis. Initial results in pre-eclamptic placentas, with depicted changes in both ADC and T 1 , illustrate its potential to identify cases of placental insufficiency. Future work will focus on expanding the field-of-view using multi-band acceleration techniques and the expansion to larger and more diverse patient groups.
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Affiliation(s)
- Jana Hutter
- Center for Medical Engineering, King's College London, London, UK
- Center for the Developing Brain, School of Biomedical Engineering and Imaging, King's College London, London, UK
| | - Alison Ho
- Academic Women's Health Department, King's College London, London, UK
| | - Laurence H Jackson
- Center for Medical Engineering, King's College London, London, UK
- Center for the Developing Brain, School of Biomedical Engineering and Imaging, King's College London, London, UK
| | - Paddy J Slator
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
| | - Lucy C Chappell
- Academic Women's Health Department, King's College London, London, UK
| | - Joseph V Hajnal
- Center for Medical Engineering, King's College London, London, UK
- Center for the Developing Brain, School of Biomedical Engineering and Imaging, King's College London, London, UK
| | - Mary A Rutherford
- Center for Medical Engineering, King's College London, London, UK
- Center for the Developing Brain, School of Biomedical Engineering and Imaging, King's College London, London, UK
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21
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Yan G, Liao Y, Li K, Zhang X, Zheng W, Zhang Y, Zou Y, Chen D, Wu D. Diffusion MRI Based Myometrium Tractography for Detection of Placenta Accreta Spectrum Disorder. J Magn Reson Imaging 2021; 55:255-264. [PMID: 34155718 DOI: 10.1002/jmri.27794] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 05/29/2021] [Accepted: 06/02/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Prenatal diagnosis of placenta accreta spectrum (PAS) disorders is difficult. Magnetic resonance imaging (MRI) has been shown to be a useful supplementary method to ultrasound. PURPOSE To investigate diffusion MRI (dMRI) based tractography as a tool for detecting PAS disorders, and to evaluate its performance compared with anatomical MRI. STUDY TYPE Prospective. POPULATION Forty-seven pregnant women in the third trimester with risk factors for PAS. FIELD STRENGTH/SEQUENCE Using fast imaging employing steady-state acquisition and high-angular resolution dMRI at 1.5 Tesla. ASSESSMENT Diagnosis of PAS was performed by three radiologists based on the dMRI-based feature of myometrial fiber discontinuity and on commonly used anatomical features including presence of dark band, discontinuous myometrium and bladder wall interruption. We evaluated the sensitivity, specificity, accuracy, and area-under-the-curve (AUC) of the individual features and established an integrated model with random forest analysis. STATISTICAL TESTS Maternal age and gestational age at scan were compared between PAS and control group using a t-test, and childbearing history was compared using a chi-squared test. The random forest model was employed to combine the anatomical and dMRI features with 5-fold cross-validation, and the weight of each feature was normalized to evaluate its importance in predicting PAS. RESULTS Based on surgical pathology reports, 16 out of 47 patients had confirmed PAS. The anatomical feature of dark bands and tractography marker achieved the highest AUC of 0.842 for predicting PAS, and the integrated anatomical and tractography features further improved the AUC of 0.880 with an accuracy of 87.2%. The tractography feature contributed most (30.1%) to the integrated model. DATA CONCLUSION Myometrial tractography demonstrated superior performance in detecting PAS. Moreover, the combination of dMRI-based tractography and anatomical MRI could potentially improve the diagnosis of PAS disorders in clinical practice. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY STAGE: 2.
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Affiliation(s)
- Guohui Yan
- Department of Radiology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yuhao Liao
- Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China
| | - Kui Li
- Department of Radiology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaodan Zhang
- Department of Radiology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Weizeng Zheng
- Department of Radiology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yi Zhang
- Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China
| | - Yu Zou
- Department of Radiology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Danqing Chen
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Dan Wu
- Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China
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22
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Slator PJ, Hutter J, Marinescu RV, Palombo M, Jackson LH, Ho A, Chappell LC, Rutherford M, Hajnal JV, Alexander DC. Data-Driven multi-Contrast spectral microstructure imaging with InSpect: INtegrated SPECTral component estimation and mapping. Med Image Anal 2021; 71:102045. [PMID: 33934005 PMCID: PMC8543043 DOI: 10.1016/j.media.2021.102045] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 02/08/2021] [Accepted: 03/16/2021] [Indexed: 11/19/2022]
Abstract
Unsupervised learning technique for spectroscopic analysis of quantitative MRI. Shares information across voxels to improve estimation of multi-dimensional or single-dimensional spectra. Spectral maps are dramatically improved compared to existing approaches. Can potentially identify and map tissue environments; in placental diffusion-relaxometry MRI we demonstrate that it identifies components that correspond to distinct tissue types.
We introduce and demonstrate an unsupervised machine learning technique for spectroscopic analysis of quantitative MRI experiments. Our algorithm supports estimation of one-dimensional spectra from single-contrast data, and multidimensional correlation spectra from simultaneous multi-contrast data. These spectrum-based approaches allow model-free investigation of tissue properties, but require regularised inversion of a Laplace transform or Fredholm integral, which is an ill-posed calculation. Here we present a method that addresses this limitation in a data-driven way. The algorithm simultaneously estimates a canonical basis of spectral components and voxelwise maps of their weightings, thereby pooling information across whole images to regularise the ill-posed problem. We show in simulations that our algorithm substantially outperforms current voxelwise spectral approaches. We demonstrate the method on multi-contrast diffusion-relaxometry placental MRI scans, revealing anatomically-relevant sub-structures, and identifying dysfunctional placentas. Our algorithm vastly reduces the data required to reliably estimate spectra, opening up the possibility of quantitative MRI spectroscopy in a wide range of new applications. Our InSpect code is available at github.com/paddyslator/inspect.
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Affiliation(s)
- Paddy J Slator
- Centre for Medical Image Computing, Department of Computer Science, University College London, UK.
| | - Jana Hutter
- Centre for the Developing Brain, Kings College London, London, UK; Biomedical Engineering Department, Kings College London, London, UK
| | - Razvan V Marinescu
- Centre for Medical Image Computing, Department of Computer Science, University College London, UK
| | - Marco Palombo
- Centre for Medical Image Computing, Department of Computer Science, University College London, UK
| | - Laurence H Jackson
- Centre for the Developing Brain, Kings College London, London, UK; Biomedical Engineering Department, Kings College London, London, UK
| | - Alison Ho
- Women's Health Department, King's College London, London, UK
| | - Lucy C Chappell
- Women's Health Department, King's College London, London, UK
| | - Mary Rutherford
- Centre for the Developing Brain, Kings College London, London, UK
| | - Joseph V Hajnal
- Centre for the Developing Brain, Kings College London, London, UK; Biomedical Engineering Department, Kings College London, London, UK
| | - Daniel C Alexander
- Centre for Medical Image Computing, Department of Computer Science, University College London, UK
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23
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Steinweg JK, Hui GTY, Pietsch M, Ho A, van Poppel MP, Lloyd D, Colford K, Simpson JM, Razavi R, Pushparajah K, Rutherford M, Hutter J. T2* placental MRI in pregnancies complicated with fetal congenital heart disease. Placenta 2021; 108:23-31. [PMID: 33798991 DOI: 10.1016/j.placenta.2021.02.015] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 02/05/2021] [Accepted: 02/25/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND Congenital heart disease (CHD) is one of the most important and common group of congenital malformations in humans. Concurrent development and close functional links between the fetal heart and placenta emphasise the importance of understanding placental function and its influence in pregnancy outcomes. The aim of this study was to evaluate placental oxygenation by relaxometry (T2*) to assess differences in placental phenotype and function in CHD. METHODS In this prospective cross-sectional observational study, 69 women with a fetus affected with CHD and 37 controls, whole placental T2* was acquired using a 1.5-Tesla MRI scanner. Gaussian Process Regression was used to assess differences in placental phenotype in CHD cohorts compared to our controls. RESULTS Placental T2* maps demonstrated significant differences in CHD compared to controls at equivalent gestational age. Mean T2* values over the entire placental volume were lowest compared to predicted normal in right sided obstructive lesions (RSOL) (Z-Score 2.30). This cohort also showed highest lacunarity indices (Z-score -1.7), as a marker of lobule size. Distribution patterns of T2* values over the entire placental volume were positively skewed in RSOL (Z-score -4.69) and suspected, not confirmed coarctation of the aorta (CoA-) (Z-score -3.83). Deviations were also reflected in positive kurtosis in RSOL (Z-score -3.47) and CoA- (Z-score -2.86). CONCLUSION Placental structure and function appear to deviate from normal development in pregnancies with fetal CHD. Specific patterns of altered placental function assessed by T2* deliver crucial complementary information to antenatal assessments in the presence of fetal CHD.
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Affiliation(s)
- Johannes K Steinweg
- Department of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Science, King's College London, London, United Kingdom.
| | - Grace Tin Yan Hui
- Centre for the Developing Brain, King's College London, London, United Kingdom
| | - Maximilian Pietsch
- Centre for the Developing Brain, King's College London, London, United Kingdom; Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Science, King's College London, London, United Kingdom
| | - Alison Ho
- Centre for the Developing Brain, King's College London, London, United Kingdom
| | - Milou Pm van Poppel
- Department of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Science, King's College London, London, United Kingdom
| | - David Lloyd
- Department of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Science, King's College London, London, United Kingdom; Department of Congenital Heart Disease, Evelina Children's Hospital, London, United Kingdom
| | - Kathleen Colford
- Centre for the Developing Brain, King's College London, London, United Kingdom
| | - John M Simpson
- Department of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Science, King's College London, London, United Kingdom; Department of Congenital Heart Disease, Evelina Children's Hospital, London, United Kingdom
| | - Reza Razavi
- Department of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Science, King's College London, London, United Kingdom; Department of Congenital Heart Disease, Evelina Children's Hospital, London, United Kingdom
| | - Kuberan Pushparajah
- Department of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Science, King's College London, London, United Kingdom; Department of Congenital Heart Disease, Evelina Children's Hospital, London, United Kingdom
| | - Mary Rutherford
- Centre for the Developing Brain, King's College London, London, United Kingdom
| | - Jana Hutter
- Centre for the Developing Brain, King's College London, London, United Kingdom; Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Science, King's College London, London, United Kingdom
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24
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Byrne M, Aughwane R, James JL, Hutchinson JC, Arthurs OJ, Sebire NJ, Ourselin S, David AL, Melbourne A, Clark AR. Structure-function relationships in the feto-placental circulation from in silico interpretation of micro-CT vascular structures. J Theor Biol 2021; 517:110630. [PMID: 33607145 DOI: 10.1016/j.jtbi.2021.110630] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 01/28/2021] [Accepted: 02/08/2021] [Indexed: 10/22/2022]
Abstract
A well-functioning placenta is critical for healthy fetal development, as the placenta brings fetal blood in close contact with nutrient rich maternal blood, enabling exchange of nutrients and waste between mother and fetus. The feto-placental circulation forms a complex branching structure, providing blood to fetal capillaries, which must receive sufficient blood flow to ensure effective exchange, but at a low enough pressure to prevent damage to placental circulatory structures. The branching structure of the feto-placental circulation is known to be altered in complications such as fetal growth restriction, and the presence of regions of vascular dysfunction (such as hypovascularity or thrombosis) are proposed to elevate risk of placental pathology. Here we present a methodology to combine micro-computed tomography and computational model-based analysis of the branching structure of the feto-placental circulation in ex vivo placentae from normal term pregnancies. We analyse how vascular structure relates to function in this key organ of pregnancy; demonstrating that there is a 'resilience' to placental vascular structure-function relationships. We find that placentae with variable chorionic vascular structures, both with and without a Hyrtl's anastomosis between the umbilical arteries, and those with multiple regions of poorly vascularised tissue are able to function with a normal vascular resistance. Our models also predict that by progressively introducing local heterogeneity in placental vascular structure, large increases in feto-placental vascular resistances are induced. This suggests that localised heterogeneities in placental structure could potentially provide an indicator of increased risk of placental dysfunction.
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Affiliation(s)
- Monika Byrne
- Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand
| | - Rosalind Aughwane
- Department of Maternal Fetal Medicine, Prenatal Cell and Gene Therapy Group, Elizabeth Garrett Anderson Institute for Women's Health, University College London, London, WC1E 6HX, United Kingdom
| | - Joanna L James
- Department of Obstetrics and Gynaecology, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - J Ciaran Hutchinson
- NIHR GOS Institute of Child Health Biomedical Research Centre, University College, London, United Kingdom; Department of Histopathology, Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom
| | - Owen J Arthurs
- NIHR GOS Institute of Child Health Biomedical Research Centre, University College, London, United Kingdom; Paediatric Radiology, Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom
| | - Neil J Sebire
- NIHR GOS Institute of Child Health Biomedical Research Centre, University College, London, United Kingdom; Department of Histopathology, Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom
| | - Sebastien Ourselin
- School of Biomedical Engineering and Imaging Sciences, Kings College London, United Kingdom
| | - Anna L David
- Department of Maternal Fetal Medicine, Prenatal Cell and Gene Therapy Group, Elizabeth Garrett Anderson Institute for Women's Health, University College London, London, WC1E 6HX, United Kingdom; NIHR University College London Hospitals Biomedical Research Centre, 149 Tottenham Court Road, London, W1T 7DN, United Kingdom
| | - Andrew Melbourne
- School of Biomedical Engineering and Imaging Sciences, Kings College London, United Kingdom
| | - Alys R Clark
- Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
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25
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Sethi S, Giza SA, Goldberg E, Empey MEET, de Ribaupierre S, Eastabrook GDM, de Vrijer B, McKenzie CA. Quantification of 1.5 T T 1 and T 2 * Relaxation Times of Fetal Tissues in Uncomplicated Pregnancies. J Magn Reson Imaging 2021; 54:113-121. [PMID: 33586269 DOI: 10.1002/jmri.27547] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 01/20/2021] [Accepted: 01/21/2021] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND Despite its many advantages, experience with fetal magnetic resonance imaging (MRI) is limited, as is knowledge of how fetal tissue relaxation times change with gestational age (GA). Quantification of fetal tissue relaxation times as a function of GA provides insight into tissue changes during fetal development and facilitates comparison of images across time and subjects. This, therefore, can allow the determination of biophysical tissue parameters that may have clinical utility. PURPOSE To demonstrate the feasibility of quantifying previously unknown T1 and T2 * relaxation times of fetal tissues in uncomplicated pregnancies as a function of GA at 1.5 T. STUDY TYPE Pilot. POPULATION Nine women with singleton, uncomplicated pregnancies (28-38 weeks GA). FIELD STRENGTH/SEQUENCE All participants underwent two iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL-IQ) acquisitions at different flip angles (6° and 20°) at 1.5 T. ASSESSMENT Segmentations of the lungs, liver, spleen, kidneys, muscle, and adipose tissue (AT) were conducted using water-only images and proton density fat fraction maps. Driven equilibrium single pulse observation of T1 (DESPOT1 ) was used to quantify the mean water T1 of the lungs, intraabdominal organs, and muscle, and the mean water and lipid T1 of AT. IDEAL T2 * maps were used to quantify the T2 * values of the lungs, intraabdominal organs, and muscle. STATISTICAL TESTS F-tests were performed to assess the T1 and T2 * changes of each analyzed tissue as a function of GA. RESULTS No tissue demonstrated a significant change in T1 as a function of GA (lungs [P = 0.89]; liver [P = 0.14]; spleen [P = 0.59]; kidneys [P = 0.97]; muscle [P = 0.22]; AT: water [P = 0.36] and lipid [P = 0.14]). Only the spleen and muscle T2 * showed a significant decrease as a function of GA (lungs [P = 0.67); liver [P = 0.05]; spleen [P < 0.05]; kidneys [P = 0.70]; muscle [P < 0.05]). DATA CONCLUSION These preliminary data suggest that the T1 of the investigated tissues is relatively stable over 28-38 weeks GA, while the T2 * change in spleen and muscle decreases significantly in that period. LEVEL OF EVIDENCE 3 TECHNICAL EFFICACY STAGE: 2.
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Affiliation(s)
- Simran Sethi
- Department of Medical Biophysics, Western University, London, Ontario, Canada
| | - Stephanie A Giza
- Department of Medical Biophysics, Western University, London, Ontario, Canada
| | - Estee Goldberg
- Department of Biomedical Engineering, Western University, London, Ontario, Canada
| | | | - Sandrine de Ribaupierre
- Department of Biomedical Engineering, Western University, London, Ontario, Canada.,Department of Clinical Neurological Sciences, London Health Sciences Centre, London, Ontario, Canada.,Brain and Mind Institute, Western University, London, Ontario, Canada.,Division of Maternal, Fetal and Newborn Health, Children's Health Research Institute, London, Ontario, Canada
| | - Genevieve D M Eastabrook
- Division of Maternal, Fetal and Newborn Health, Children's Health Research Institute, London, Ontario, Canada.,Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada.,Department of Obstetrics & Gynaecology, Western University, London, Ontario, Canada
| | - Barbra de Vrijer
- Division of Maternal, Fetal and Newborn Health, Children's Health Research Institute, London, Ontario, Canada.,Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada.,Department of Obstetrics & Gynaecology, Western University, London, Ontario, Canada
| | - Charles A McKenzie
- Department of Medical Biophysics, Western University, London, Ontario, Canada.,Division of Maternal, Fetal and Newborn Health, Children's Health Research Institute, London, Ontario, Canada
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26
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Ho A, Hutter J, Slator P, Jackson L, Seed PT, Mccabe L, Al-Adnani M, Marnerides A, George S, Story L, Hajnal JV, Rutherford M, Chappell LC. Placental magnetic resonance imaging in chronic hypertension: A case-control study. Placenta 2021; 104:138-145. [PMID: 33341490 PMCID: PMC7921773 DOI: 10.1016/j.placenta.2020.12.006] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 11/28/2020] [Accepted: 12/09/2020] [Indexed: 11/21/2022]
Abstract
INTRODUCTION We aimed to explore the use of magnetic resonance imaging (MRI) in vivo as a tool to elucidate the placental phenotype in women with chronic hypertension. METHODS In case-control study, women with chronic hypertension and those with uncomplicated pregnancies were imaged using either a 3T Achieva or 1.5T Ingenia scanner. T2-weighted images, diffusion weighted and T1/T2* relaxometry data was acquired. Placental T2*, T1 and apparent diffusion coefficient (ADC) maps were calculated. RESULTS 129 women (43 with chronic hypertension and 86 uncomplicated pregnancies) were imaged at a median of 27.7 weeks' gestation (interquartile range (IQR) 23.9-32.1) and 28.9 (IQR 26.1-32.9) respectively. Visual analysis of T2-weighted imaging demonstrated placentae to be either appropriate for gestation or to have advanced lobulation in women with chronic hypertension, resulting in a greater range of placental mean T2* values for a given gestation, compared to gestation-matched controls. Both skew and kurtosis (derived from histograms of T2* values across the whole placenta) increased with advancing gestational age at imaging in healthy pregnancies; women with chronic hypertension had values overlapping those in the control group range. Upon visual assessment, the mean ADC declined in the third trimester, with a corresponding decline in placental mean T2* values and showed an overlap of values between women with chronic hypertension and the control group. DISCUSSION A combined placental MR examination including T2 weighted imaging, T2*, T1 mapping and diffusion imaging demonstrates varying placental phenotypes in a cohort of women with chronic hypertension, showing overlap with the control group.
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Affiliation(s)
- Alison Ho
- Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, United Kingdom.
| | - Jana Hutter
- Centre for the Developing Brain, King's College London, London, United Kingdom; Biomedical Engineering Department, King's College London, London, United Kingdom
| | - Paddy Slator
- Centre for Medical Image Computing and Department of Computer Science, University College London, London, United Kingdom
| | - Laurence Jackson
- Centre for the Developing Brain, King's College London, London, United Kingdom; Biomedical Engineering Department, King's College London, London, United Kingdom
| | - Paul T Seed
- Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, United Kingdom
| | - Laura Mccabe
- Centre for the Developing Brain, King's College London, London, United Kingdom
| | - Mudher Al-Adnani
- Department of Cellular Pathology, Guy's and St Thomas' Hospital, London, United Kingdom
| | - Andreas Marnerides
- Department of Cellular Pathology, Guy's and St Thomas' Hospital, London, United Kingdom
| | - Simi George
- Department of Cellular Pathology, Guy's and St Thomas' Hospital, London, United Kingdom
| | - Lisa Story
- Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, United Kingdom
| | - Joseph V Hajnal
- Centre for the Developing Brain, King's College London, London, United Kingdom; Biomedical Engineering Department, King's College London, London, United Kingdom
| | - Mary Rutherford
- Centre for the Developing Brain, King's College London, London, United Kingdom
| | - Lucy C Chappell
- Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, United Kingdom
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27
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The application of in utero magnetic resonance imaging in the study of the metabolic and cardiovascular consequences of the developmental origins of health and disease. J Dev Orig Health Dis 2020; 12:193-202. [PMID: 33308364 PMCID: PMC8162788 DOI: 10.1017/s2040174420001154] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Observing fetal development in utero is vital to further the understanding of later-life diseases. Magnetic resonance imaging (MRI) offers a tool for obtaining a wealth of information about fetal growth, development, and programming not previously available using other methods. This review provides an overview of MRI techniques used to investigate the metabolic and cardiovascular consequences of the developmental origins of health and disease (DOHaD) hypothesis. These methods add to the understanding of the developing fetus by examining fetal growth and organ development, adipose tissue and body composition, fetal oximetry, placental microstructure, diffusion, perfusion, flow, and metabolism. MRI assessment of fetal growth, organ development, metabolism, and the amount of fetal adipose tissue could give early indicators of abnormal fetal development. Noninvasive fetal oximetry can accurately measure placental and fetal oxygenation, which improves current knowledge on placental function. Additionally, measuring deficiencies in the placenta’s transport of nutrients and oxygen is critical for optimizing treatment. Overall, the detailed structural and functional information provided by MRI is valuable in guiding future investigations of DOHaD.
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28
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Gibbons KS, McIntyre HD, Mamun A, Chang AMZ. Development of the Birthweight Appropriateness Quotient: A New Measure of Infant's Size. Matern Child Health J 2020; 24:1202-1211. [PMID: 32794153 DOI: 10.1007/s10995-020-02994-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
INTRODUCTION The customised birthweight model can be used to improve detection of babies that may be at risk of adverse outcomes associated with abnormal growth, however it is currently used in conjunction with either an intrauterine growth standard or the individualised birthweight ratio (IBR), both of which have significant methodological flaws. Our aim was to investigate the statistical validity of the IBR and attempt to develop a new measurement to represent the appropriateness of an infant's size at birth that will support clinicians in identifying infants requiring further attention. METHODS Routinely collected hospital maternity and neonatal data on singleton, term births from a tertiary Australian hospital were extracted for the time period 1998-2009. The relationships between birthweight, customised birthweight and IBR are investigated using correlation, regression analysis and division of births into groups of < 2500 g, 2500-4000 g and > 4000 g. A new measure, the Birthweight Appropriateness Quotient (BAQ), is developed. The utility of the BAQ is compared with IBR and birthweight to identify infants with a composite neonatal morbidity outcome. RESULTS Statistical flaws with the IBR due to significant correlation between birthweight and customised birthweight and a heterogenous relationship between these two measurements across the range of birthweight are present. BAQ is uncorrelated with birthweight. Comparison of BAQ and IBR as indicators of adverse neonatal outcome demonstrates that BAQ identifies babies at risk due to their small size and those babies at risk due to inappropriate size. CONCLUSIONS FOR PRACTICE BAQ is a customised measurement of an infant's size free of the statistical flaws experienced by the IBR with the ability to identify at-risk infants.
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Affiliation(s)
- Kristen S Gibbons
- Mothers and Babies Research, Mater Research Institute - The University of Queensland, South Brisbane, Australia. .,Level 4, Centre for Children's Health Research, 62 Graham St, South Brisbane, QLD, 4101, Australia.
| | - H David McIntyre
- Mothers and Babies Research, Mater Research Institute - The University of Queensland, South Brisbane, Australia.,UQ/Mater Clinical School, The University of Queensland, Brisbane, Australia
| | - Abdullah Mamun
- Institute for Social Science Research, The University of Queensland, Brisbane, Australia
| | - Allan M Z Chang
- Department of Obstetrics and Gynaecology, Chinese University of Hong Kong, Shatin, Hong Kong
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29
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Sørensen A, Sinding M. Placental Magnetic Resonance Imaging: A Method to Evaluate Placental Function In Vivo. Obstet Gynecol Clin North Am 2020; 47:197-213. [PMID: 32008669 DOI: 10.1016/j.ogc.2019.10.009] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
This article describes the use of placental magnetic resonance imaging (MRI) relaxation times in the in vivo assessment of placental function. It focuses on T2*-weighted placental MRI, the main area of the authors' research over the past decade. The rationale behind T2*-weighted placental MRI, the main findings reported in the literature, and directions for future research and clinical applications of this method are discussed. The article concludes that placental T2* relaxation time is an easily obtained and robust measurement, which can discriminate between normal and dysfunctional placenta. Placenta T2* is a promising tool for in vivo assessment of placental function.
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Affiliation(s)
- Anne Sørensen
- Department of Obstetrics and Gynecology, Aalborg University Hospital, Reberbansgade 15, Aalborg 9000, Denmark; Department of Clinical Medicine, Aalborg University, Sdr. Skovvej 15, Aalborg 9000, Denmark.
| | - Marianne Sinding
- Department of Obstetrics and Gynecology, Aalborg University Hospital, Reberbansgade 15, Aalborg 9000, Denmark; Department of Clinical Medicine, Aalborg University, Sdr. Skovvej 15, Aalborg 9000, Denmark
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30
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Khen-Dunlop N, Chalouhi G, Lecler A, Bouchouicha A, Millischer AE, Tavitian B, Siauve N, Balvay D, Salomon LJ. Assessment of BOLD response in the fetal lung. Eur Radiol 2020; 31:3090-3097. [PMID: 33123792 DOI: 10.1007/s00330-020-07272-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Revised: 07/08/2020] [Accepted: 09/08/2020] [Indexed: 12/24/2022]
Abstract
OBJECTIVE Assessment of lung development and maturity is of utmost importance in prenatal counseling. Blood oxygen level-dependent (BOLD) effect MRI was developed for functional evaluations of organs. To date, no data are available in fetal lungs and nothing is known about the existence of a BOLD effect in the lungs. The aim of our study was to evaluate if a BOLD response could be detected in fetal lungs. MATERIALS AND METHODS From January 2014 to December 2016, 38 healthy pregnant women were prospectively enrolled. After a routine scan on a 1.5-T MRI device (normoxic period), maternal hyperoxia was induced for 5 min before the BOLD sequence (hyperoxic period). R2* was evaluated by fitting average intensity of the signal, both for normoxic (norm) and hyperoxic (hyper) periods. RESULTS A significant BOLD response was observed after maternal hyperoxia in the lungs with a mean R2* decrease of 12.1 ± 2.5% (p < 0.001), in line with the placenta response with a mean R2* decrease of 19.2 ± 5.9% (p < 0.0001), confirming appropriate oxygen uptake. Conversely, no significant BOLD effect was observed for the brain nor the liver with a mean ∆R2* of 3.6 ± 3.1% (p = 0.64) and 2.8 ± 3.7% (p = 0.23). CONCLUSION This study shows for the first time in human that a BOLD response can be observed in the normal fetal lung despite its prenatal "non-functional status." If confirmed in congenital lung and chest malformations, this property could be used in addition to the lung volume for a better prediction of postnatal respiratory status. KEY POINTS • Blood oxygen level-dependent (BOLD) effect MRI was developed for functional evaluations of organs and could have interesting implications for the fetal organs. • Assessment of lung development is of utmost importance in prenatal counseling, but to date no data are available in fetal lungs. • BOLD response can be observed in the normal fetal lung opening the way to studies on fetus with pathological lungs.
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Affiliation(s)
- Naziha Khen-Dunlop
- EA FETUS and LUMIERE PLATEFORM - Faculte Paris Descartes, Paris, France. .,Laboratoire de Recherche en Imagerie (LRI), INSERM U970, Equipe 2, Paris Cardiovascular Research Center - PARCC, 56 Rue Leblanc, 75015, Paris, France. .,Department of Pediatric Surgery, Necker-Enfants Malades Hospital, 149 Rue de Sevres, 75105, Paris, France.
| | - Gihad Chalouhi
- Laboratoire de Recherche en Imagerie (LRI), INSERM U970, Equipe 2, Paris Cardiovascular Research Center - PARCC, 56 Rue Leblanc, 75015, Paris, France
| | - Augustin Lecler
- Laboratoire de Recherche en Imagerie (LRI), INSERM U970, Equipe 2, Paris Cardiovascular Research Center - PARCC, 56 Rue Leblanc, 75015, Paris, France
| | - Afef Bouchouicha
- Laboratoire de Recherche en Imagerie (LRI), INSERM U970, Equipe 2, Paris Cardiovascular Research Center - PARCC, 56 Rue Leblanc, 75015, Paris, France
| | - Anne-Elodie Millischer
- EA FETUS and LUMIERE PLATEFORM - Faculte Paris Descartes, Paris, France.,Department of Pediatric Radiology, Necker-Enfants Malades Hospital, Paris, France
| | - Bertrand Tavitian
- Laboratoire de Recherche en Imagerie (LRI), INSERM U970, Equipe 2, Paris Cardiovascular Research Center - PARCC, 56 Rue Leblanc, 75015, Paris, France.,Department of Radiology, Georges Pompidou European Hospital, Paris Descartes Medical University, Paris, France
| | - Nathalie Siauve
- EA FETUS and LUMIERE PLATEFORM - Faculte Paris Descartes, Paris, France.,Laboratoire de Recherche en Imagerie (LRI), INSERM U970, Equipe 2, Paris Cardiovascular Research Center - PARCC, 56 Rue Leblanc, 75015, Paris, France.,Department of Radiology, Louis Mourier Hospital, Colombes, France
| | - Daniel Balvay
- Laboratoire de Recherche en Imagerie (LRI), INSERM U970, Equipe 2, Paris Cardiovascular Research Center - PARCC, 56 Rue Leblanc, 75015, Paris, France
| | - Laurent J Salomon
- EA FETUS and LUMIERE PLATEFORM - Faculte Paris Descartes, Paris, France.,Department of Obstetrics, Necker-Enfants Malades Hospital, Paris, France
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31
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Zun Z, Kapse K, Quistorff J, Andescavage N, Gimovsky AC, Ahmadzia H, Limperopoulos C. Feasibility of QSM in the human placenta. Magn Reson Med 2020; 85:1272-1281. [PMID: 32936489 DOI: 10.1002/mrm.28502] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Revised: 08/05/2020] [Accepted: 08/07/2020] [Indexed: 12/28/2022]
Abstract
PURPOSE Quantitative susceptibility mapping (QSM) is an emerging tool for the precise characterization of human tissue, including regional oxygenation. A critical function of the human placenta is oxygen transfer to the developing fetus, which remains difficult to study in utero. The purpose of this study is to investigate the feasibility of performing QSM in the human placenta in utero. METHODS In healthy pregnant women, 3D gradient echo data of the placenta were acquired with prospective respiratory gating at 1.5 Tesla and 3 Tesla. A brief period (6-7 min) of maternal hyperoxia was induced to increase placental oxygenation in a subset of women scanned at 3 Tesla, and data were acquired before and during oxygen administration. Susceptibility and T 2 ∗ / R 2 ∗ maps were reconstructed from gradient echo data, and mean and SD of these measures within the whole placenta were calculated. RESULTS A total of 54 women were studied at a mean gestational age of 30.7 ± 4.2 (range: 24 5/7-38 4/7) weeks. Susceptibility and T 2 ∗ maps demonstrated lobular contrast reflecting regional oxygenation difference at both field strengths. SD of susceptibilities, mean R 2 ∗ , and SD of R 2 ∗ of the placenta showed a linear relationship with gestational age (P < .01 for all). These measures were also responsive to maternal hyperoxia, and there was an increasing response with advancing gestational age (P < .01 for all). CONCLUSION This study demonstrates the feasibility of performing placental QSM in pregnant women and supports the potential for placental QSM to provide noninvasive in vivo assessment of placental oxygenation.
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Affiliation(s)
- Zungho Zun
- Developing Brain Institute, Division of Diagnostic Imaging and Radiology, Children's National Hospital, Washington, DC, USA.,Division of Fetal and Transitional Medicine, Children's National Hospital, Washington, DC, USA.,Department of Pediatrics, School of Medicine and Health Sciences, George Washington University, Washington, DC, USA.,Department of Radiology, School of Medicine and Health Sciences, George Washington University, Washington, DC, USA
| | - Kushal Kapse
- Developing Brain Institute, Division of Diagnostic Imaging and Radiology, Children's National Hospital, Washington, DC, USA
| | - Jessica Quistorff
- Developing Brain Institute, Division of Diagnostic Imaging and Radiology, Children's National Hospital, Washington, DC, USA
| | - Nickie Andescavage
- Department of Pediatrics, School of Medicine and Health Sciences, George Washington University, Washington, DC, USA.,Division of Neonatology, Children's National Hospital, Washington, DC, USA
| | - Alexis C Gimovsky
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, School of Medicine and Health Sciences, George Washington University, Washington, DC, USA
| | - Homa Ahmadzia
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, School of Medicine and Health Sciences, George Washington University, Washington, DC, USA
| | - Catherine Limperopoulos
- Developing Brain Institute, Division of Diagnostic Imaging and Radiology, Children's National Hospital, Washington, DC, USA.,Division of Fetal and Transitional Medicine, Children's National Hospital, Washington, DC, USA.,Department of Pediatrics, School of Medicine and Health Sciences, George Washington University, Washington, DC, USA.,Department of Radiology, School of Medicine and Health Sciences, George Washington University, Washington, DC, USA
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32
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Aplin JD, Myers JE, Timms K, Westwood M. Tracking placental development in health and disease. Nat Rev Endocrinol 2020; 16:479-494. [PMID: 32601352 DOI: 10.1038/s41574-020-0372-6] [Citation(s) in RCA: 166] [Impact Index Per Article: 41.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/15/2020] [Indexed: 12/14/2022]
Abstract
Pre-eclampsia and fetal growth restriction arise from disorders of placental development and have some shared mechanistic features. Initiation is often rooted in the maldevelopment of a maternal-placental blood supply capable of providing for the growth requirements of the fetus in later pregnancy, without exerting undue stress on maternal body systems. Here, we review normal development of a placental bed with a safe and adequate blood supply and a villous placenta-blood interface from which nutrients and oxygen can be extracted for the growing fetus. We consider disease mechanisms that are intrinsic to the maternal environment, the placenta or the interaction between the two. Systemic signalling from the endocrine placenta targets the maternal endothelium and multiple organs to adjust metabolism for an optimal pregnancy and later lactation. This signalling capacity is skewed when placental damage occurs and can deliver a dangerous pathogenic stimulus. We discuss the placental secretome including glycoproteins, microRNAs and extracellular vesicles as potential biomarkers of disease. Angiomodulatory mediators, currently the only effective biomarkers, are discussed alongside non-invasive imaging approaches to the prediction of disease risk. Identifying the signs of impending pathology early enough to intervene and ameliorate disease in later pregnancy remains a complex and challenging objective.
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Affiliation(s)
- John D Aplin
- Maternal and Fetal Health Group, Manchester Academic Health Sciences Centre, St Mary's Hospital, Manchester, UK.
| | - Jenny E Myers
- Maternal and Fetal Health Group, Manchester Academic Health Sciences Centre, St Mary's Hospital, Manchester, UK
| | - Kate Timms
- Lydia Becker Institute of Inflammation and Immunology, The University of Manchester, Manchester, UK
| | - Melissa Westwood
- Maternal and Fetal Health Group, Manchester Academic Health Sciences Centre, St Mary's Hospital, Manchester, UK
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33
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Aughwane R, Mufti N, Flouri D, Maksym K, Spencer R, Sokolska M, Kendall G, Atkinson D, Bainbridge A, Deprest J, Vercauteren T, Ourselin S, David AL, Melbourne A. Magnetic resonance imaging measurement of placental perfusion and oxygen saturation in early-onset fetal growth restriction. BJOG 2020; 128:337-345. [PMID: 32603546 PMCID: PMC7613436 DOI: 10.1111/1471-0528.16387] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/19/2020] [Indexed: 01/31/2023]
Abstract
OBJECTIVE We hypothesised that a multi-compartment magnetic resonance imaging (MRI) technique that is sensitive to fetal blood oxygenation would identify changes in placental blood volume and fetal blood oxygenation in pregnancies complicated by early-onset fetal growth restriction (FGR). DESIGN Case-control study. SETTING London, UK. POPULATION Women with uncomplicated pregnancies (estimated fetal weight [EFW] >10th centile for gestational age [GA] and normal maternal and fetal Doppler ultrasound, n = 12) or early-onset FGR (EFW <3rd centile with or without abnormal Doppler ultrasound <32 weeks GA, n = 12) were studied. METHODS All women underwent MRI examination. Using a multi-compartment MRI technique, we quantified fetal and maternal blood volume and feto-placental blood oxygenation. MAIN OUTCOME MEASURES Disease severity was stratified according to Doppler pulsatility index and the relationship to the MRI parameters was investigated, including the influence of GA at scan. RESULTS The FGR group (mean GA 27+5 weeks, range 24+2 to 33+6 weeks) had a significantly lower EFW compared with the control group (mean GA 29+1 weeks; -705 g, 95% CI -353 to -1057 g). MRI-derived feto-placental oxygen saturation was higher in controls compared with FGR (75 ± 9.6% versus 56 ± 16.2%, P = 0.02, 95% CI 7.8-30.3%). Feto-placental oxygen saturation estimation correlated strongly with GA at scan in controls (r = -0.83). CONCLUSION Using a novel multimodal MRI protocol we demonstrated reduced feto-placental blood oxygen saturation in pregnancies complicated by early-onset FGR. The degree of abnormality correlated with disease severity defined by ultrasound Doppler findings. Gestational age-dependent changes in oxygen saturation were also present in normal pregnancies. TWEETABLE ABSTRACT MRI reveals differences in feto-placental oxygen saturation between normal and FGR pregnancy that is associated with disease severity.
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Affiliation(s)
- R Aughwane
- Elizabeth Garrett Anderson Institute for Women's Health, University College London, London, UK.,Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - N Mufti
- Elizabeth Garrett Anderson Institute for Women's Health, University College London, London, UK.,Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - D Flouri
- Department of Medical Physics and Biomedical Engineering, University College London, London, UK.,School of Biomedical Engineering and Imaging, Kings College London, London, UK
| | - K Maksym
- Elizabeth Garrett Anderson Institute for Women's Health, University College London, London, UK
| | - R Spencer
- Elizabeth Garrett Anderson Institute for Women's Health, University College London, London, UK.,University of Leeds, Leeds, UK
| | - M Sokolska
- Medical Physics, University College Hospital, London, UK
| | - G Kendall
- Elizabeth Garrett Anderson Institute for Women's Health, University College London, London, UK
| | - D Atkinson
- Centre for Medical Imaging, University College London, London, UK
| | - A Bainbridge
- Medical Physics, University College Hospital, London, UK
| | - J Deprest
- Elizabeth Garrett Anderson Institute for Women's Health, University College London, London, UK.,School of Biomedical Engineering and Imaging, Kings College London, London, UK.,University Hospital KU Leuven, Leuven, Belgium
| | - T Vercauteren
- Department of Medical Physics and Biomedical Engineering, University College London, London, UK.,School of Biomedical Engineering and Imaging, Kings College London, London, UK
| | - S Ourselin
- Department of Medical Physics and Biomedical Engineering, University College London, London, UK.,School of Biomedical Engineering and Imaging, Kings College London, London, UK
| | - A L David
- Elizabeth Garrett Anderson Institute for Women's Health, University College London, London, UK.,University Hospital KU Leuven, Leuven, Belgium.,NIHR University College London Hospitals Biomedical Research Centre, London, UK
| | - A Melbourne
- Elizabeth Garrett Anderson Institute for Women's Health, University College London, London, UK.,Department of Medical Physics and Biomedical Engineering, University College London, London, UK.,School of Biomedical Engineering and Imaging, Kings College London, London, UK
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34
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Advances in imaging feto-placental vasculature: new tools to elucidate the early life origins of health and disease. J Dev Orig Health Dis 2020; 12:168-178. [PMID: 32746961 DOI: 10.1017/s2040174420000720] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Optimal placental function is critical for fetal development, and therefore a crucial consideration for understanding the developmental origins of health and disease (DOHaD). The structure of the fetal side of the placental vasculature is an important determinant of fetal growth and cardiovascular development. There are several imaging modalities for assessing feto-placental structure including stereology, electron microscopy, confocal microscopy, micro-computed tomography, light-sheet microscopy, ultrasonography and magnetic resonance imaging. In this review, we present current methodologies for imaging feto-placental vasculature morphology ex vivo and in vivo in human and experimental models, their advantages and limitations and how these provide insight into placental function and fetal outcomes. These imaging approaches add important perspective to our understanding of placental biology and have potential to be new tools to elucidate a deeper understanding of DOHaD.
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35
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Sun C, Groom KM, Oyston C, Chamley LW, Clark AR, James JL. The placenta in fetal growth restriction: What is going wrong? Placenta 2020; 96:10-18. [PMID: 32421528 DOI: 10.1016/j.placenta.2020.05.003] [Citation(s) in RCA: 98] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 04/17/2020] [Accepted: 05/07/2020] [Indexed: 02/06/2023]
Abstract
The placenta is essential for the efficient delivery of nutrients and oxygen from mother to fetus to maintain normal fetal growth. Dysfunctional placental development underpins many pregnancy complications, including fetal growth restriction (FGR) a condition in which the fetus does not reach its growth potential. The FGR placenta is smaller than normal placentae throughout gestation and displays maldevelopment of both the placental villi and the fetal vasculature within these villi. Specialized epithelial cells called trophoblasts exhibit abnormal function and development in FGR placentae. This includes an altered balance between proliferation and apoptotic death, premature cellular senescence, and reduced colonisation of the maternal decidual tissue. Thus, the placenta undergoes aberrant changes at the macroscopic to cellular level in FGR, which can limit exchange capacity and downstream fetal growth. This review aims to compile stereological, in vitro, and imaging data to create a holistic overview of the FGR placenta and its pathophysiology, with a focus on the contribution of trophoblasts.
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Affiliation(s)
- Cherry Sun
- Department of Obstetrics and Gynaecology, Faculty of Medical and Health Sciences, The University of Auckland, 85 Park Road, Grafton, Auckland, 1023, New Zealand.
| | - Katie M Groom
- Liggins Institute, The University of Auckland, 85 Park Road, Grafton, Auckland, 1023, New Zealand
| | - Charlotte Oyston
- Department of Obstetrics and Gynaecology, Faculty of Medical and Health Sciences, The University of Auckland, 85 Park Road, Grafton, Auckland, 1023, New Zealand
| | - Lawrence W Chamley
- Department of Obstetrics and Gynaecology, Faculty of Medical and Health Sciences, The University of Auckland, 85 Park Road, Grafton, Auckland, 1023, New Zealand
| | - Alys R Clark
- Auckland Bioengineering Institute, The University of Auckland, Auckland Bioengineering, House, Level 6/70 Symonds Street, Grafton, Auckland, 1010, New Zealand
| | - Joanna L James
- Department of Obstetrics and Gynaecology, Faculty of Medical and Health Sciences, The University of Auckland, 85 Park Road, Grafton, Auckland, 1023, New Zealand
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36
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Ho AEP, Hutter J, Jackson LH, Seed PT, Mccabe L, Al-Adnani M, Marnerides A, George S, Story L, Hajnal JV, Rutherford MA, Chappell LC. T2* Placental Magnetic Resonance Imaging in Preterm Preeclampsia: An Observational Cohort Study. HYPERTENSION (DALLAS, TEX. : 1979) 2020; 75:1523-1531. [PMID: 32336233 PMCID: PMC7682790 DOI: 10.1161/hypertensionaha.120.14701] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Placental dysfunction underlies the cause of pregnancies complicated by preeclampsia. The use of placental magnetic resonance imaging to provide an insight into the pathophysiology of preeclampsia and thus assess its potential use to inform prognosis and clinical management was explored. In this prospective observational cohort study, 14 women with preterm preeclampsia and 48 gestation-matched controls using 3-Tesla magnetic resonance imaging at median of 31.6 weeks (interquartile range [IQR], 28.6-34.6) and 32.2 weeks (IQR, 28.6-33.8), respectively, were imaged. The acquired data included T2-weighted images and T2* maps of the placenta, the latter an indicative measure of placental oxygenation. Placentae in women with preeclampsia demonstrated advanced lobulation, varied lobule sizes, high granularity, and substantial areas of low-signal intensity on T2-weighted imaging, with reduced entire placental mean T2* values for gestational age (2 sample t test, t=7.49) correlating with a reduction in maternal PlGF (placental growth factor) concentrations (Spearman rank correlation coefficient 0.76) and increased lacunarity values (t=3.26). Median mean T2* reduced from 67 ms (IQR, 54-73) at 26.0 to 29.8 weeks' gestation to 38 ms (IQR, 28-40) at 34.0 to 37.9 weeks' gestation in the control group. In women with preeclampsia, median T2* was 23 ms (IQR, 20-23) at 26.0 to 29.8 weeks' gestation and remained low (22 ms [IQR, 20-26] at 34.0-37.8 weeks' gestation). Histological features of maternal vascular malperfusion were only found in placentae from women with preeclampsia. Placental volume did not differ between the control group and women with preeclampsia. Placental magnetic resonance imaging allows both objective quantification of placental function in vivo and elucidation of the complex mechanisms underlying preeclampsia development.
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Affiliation(s)
- Alison E P Ho
- From the Department of Women and Children's Health, School of Life Course Sciences (A.E.P.H., P.S., L.S., L.C.C.), King's College London, United Kingdom
| | - Jana Hutter
- Centre for the Developing Brain (J.H., L.H.J., L.M., J.V.H., M.A.R.), King's College London, United Kingdom.,Biomedical Engineering Department (J.H., L.H.J., J.V.H.), King's College London, United Kingdom
| | - Laurence H Jackson
- Centre for the Developing Brain (J.H., L.H.J., L.M., J.V.H., M.A.R.), King's College London, United Kingdom.,Biomedical Engineering Department (J.H., L.H.J., J.V.H.), King's College London, United Kingdom
| | - Paul T Seed
- From the Department of Women and Children's Health, School of Life Course Sciences (A.E.P.H., P.S., L.S., L.C.C.), King's College London, United Kingdom
| | - Laura Mccabe
- Centre for the Developing Brain (J.H., L.H.J., L.M., J.V.H., M.A.R.), King's College London, United Kingdom
| | - Mudher Al-Adnani
- Department of Cellular Pathology, Guy's and St Thomas' Hospital, London, United Kingdom (M.A.-A., A.M., S.G.)
| | - Andreas Marnerides
- Department of Cellular Pathology, Guy's and St Thomas' Hospital, London, United Kingdom (M.A.-A., A.M., S.G.)
| | - Simi George
- Department of Cellular Pathology, Guy's and St Thomas' Hospital, London, United Kingdom (M.A.-A., A.M., S.G.)
| | - Lisa Story
- From the Department of Women and Children's Health, School of Life Course Sciences (A.E.P.H., P.S., L.S., L.C.C.), King's College London, United Kingdom
| | - Joseph V Hajnal
- Centre for the Developing Brain (J.H., L.H.J., L.M., J.V.H., M.A.R.), King's College London, United Kingdom.,Biomedical Engineering Department (J.H., L.H.J., J.V.H.), King's College London, United Kingdom
| | - Mary A Rutherford
- Centre for the Developing Brain (J.H., L.H.J., L.M., J.V.H., M.A.R.), King's College London, United Kingdom
| | - Lucy C Chappell
- From the Department of Women and Children's Health, School of Life Course Sciences (A.E.P.H., P.S., L.S., L.C.C.), King's College London, United Kingdom
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37
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Li H, Ouyang Y, Sadovsky E, Parks WT, Chu T, Sadovsky Y. Unique microRNA Signals in Plasma Exosomes from Pregnancies Complicated by Preeclampsia. Hypertension 2020; 75:762-771. [PMID: 31983308 PMCID: PMC7076905 DOI: 10.1161/hypertensionaha.119.14081] [Citation(s) in RCA: 92] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Accepted: 12/24/2019] [Indexed: 02/06/2023]
Abstract
Although preeclampsia is a common and serious complication of pregnancy, insight into its pathobiology and diagnosis is lacking. Circulating plasma exosomes, which contain RNA and other molecules and have recently become accessible for diagnostics, may be informative in this regard. We tested the hypothesis that preeclampsia may affect the miRNA cargo within circulating maternal blood exosomes. We collected plasma from 60 pregnant women at term, including 20 women with pregnancy complicated by preeclampsia, and 20 women with fetal growth restriction and 20 with healthy pregnancy, serving as controls. We isolated exosomes from the maternal plasma by continuous density gradient ultracentrifugation. Our main outcome variable was exosomal miRNA cargo, analyzed by quantitative polymerase chain reaction-based TaqMan advanced miRNA assay in a card format and the expression of differentially expressed exosomal miRNA in whole plasma from the same participants. We found that 7 miRNA species were differentially expressed in exosomes from women with preeclampsia and those from controls. In contrast, there was no significant difference in exosomal miRNA expression between women with fetal growth restriction and controls. The results were not affected by fetal sex. Only one of the preeclampsia-related, differentially expressed exosomal miRNAs was significantly different in whole plasma miRNA analysis. We concluded that unlike whole plasma miRNA, exosomes extracted from the plasma of women with preeclampsia exhibit a unique miRNA profile, suggesting that plasma exosomal miRNA could provide insight into the pathophysiology of preeclampsia, and may play a role in disease diagnostics.
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Affiliation(s)
- Hui Li
- Magee-Womens Research Institute, Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh, Pittsburgh, PA, USA
- Reproductive Department of Xiangya Hospital, Central South University, Changsha, Hunan, China
- The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yingshi Ouyang
- Magee-Womens Research Institute, Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh, Pittsburgh, PA, USA
| | - Elena Sadovsky
- Magee-Womens Research Institute, Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh, Pittsburgh, PA, USA
| | - W. Tony Parks
- Department of Laboratory Medicine and Pathobiology, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Tianjiao Chu
- Magee-Womens Research Institute, Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh, Pittsburgh, PA, USA
| | - Yoel Sadovsky
- Magee-Womens Research Institute, Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Microbiology and Molecular Genetics, University of Pittsburgh, Pittsburgh, PA USA
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38
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Sørensen A, Hutter J, Seed M, Grant PE, Gowland P. T2*-weighted placental MRI: basic research tool or emerging clinical test for placental dysfunction? ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2020; 55:293-302. [PMID: 31452271 DOI: 10.1002/uog.20855] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2019] [Revised: 08/12/2019] [Accepted: 08/19/2019] [Indexed: 06/10/2023]
Affiliation(s)
- A Sørensen
- Department of Obstetrics and Gynecology, Aalborg University Hospital, Aalborg, Denmark
| | - J Hutter
- Center for Medical Engineering, King's College London, London, UK
| | - M Seed
- Department of Cardiology, The Hospital for Sick Children, Toronto, Canada
| | - P E Grant
- Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA, USA
| | - P Gowland
- Sir Peter Mansfield Imaging Centre, Nottingham University, Nottingham, UK
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39
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Abstract
In utero diffusion magnetic resonance imaging (MRI) provides unique opportunities to noninvasively study the microstructure of tissue during fetal development. A wide range of developmental processes, such as the growth of white matter tracts in the brain, the maturation of placental villous trees, or the fibers in the fetal heart remain to be studied and understood in detail. Advances in fetal interventions and surgery furthermore increase the need for ever more precise antenatal diagnosis from fetal MRI. However, the specific properties of the in utero environment, such as fetal and maternal motion, increased field-of-view, tissue interfaces and safety considerations, are significant challenges for most MRI techniques, and particularly for diffusion. Recent years have seen major improvements, driven by the development of bespoke techniques adapted to these specific challenges in both acquisition and processing. Fetal diffusion MRI, an emerging research tool, is now adding valuable novel information for both research and clinical questions. This paper will highlight specific challenges, outline strategies to target them, and discuss two main applications: fetal brain connectomics and placental maturation.
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Aughwane R, Ingram E, Johnstone ED, Salomon LJ, David AL, Melbourne A. Placental MRI and its application to fetal intervention. Prenat Diagn 2020; 40:38-48. [PMID: 31306507 PMCID: PMC7027916 DOI: 10.1002/pd.5526] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Revised: 06/18/2019] [Accepted: 07/08/2019] [Indexed: 02/06/2023]
Abstract
OBJECTIVE Magnetic resonance imaging (MRI) of placental invasion has been part of clinical practice for many years. The possibility of being better able to assess placental vascularization and function using MRI has multiple potential applications. This review summarises up-to-date research on placental function using different MRI modalities. METHOD We discuss how combinations of these MRI techniques have much to contribute to fetal conditions amenable for therapy such as singletons at high risk for fetal growth restriction (FGR) and monochorionic twin pregnancies for planning surgery and counselling for selective growth restriction and transfusion conditions. RESULTS The whole placenta can easily be visualized on MRI, with a clear boundary against the amniotic fluid, and a less clear placental-uterine boundary. Contrasts such as diffusion weighted imaging, relaxometry, blood oxygenation level dependent MRI and flow and metabolite measurement by dynamic contrast enhanced MRI, arterial spin labeling, or spectroscopic techniques are contributing to our wider understanding of placental function. CONCLUSION The future of placental MRI is exciting, with the increasing availability of multiple contrasts and new models that will boost the capability of MRI to measure oxygen saturation and placental exchange, enabling examination of placental function in complicated pregnancies.
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Affiliation(s)
| | - Emma Ingram
- Division of Developmental Biology & MedicineUniversity of ManchesterManchesterUK
| | - Edward D. Johnstone
- Division of Developmental Biology & MedicineUniversity of ManchesterManchesterUK
| | - Laurent J. Salomon
- Hôpital Necker‐Enfants Malades, AP‐HP, EHU PACT and LUMIERE PlatformUniversité Paris DescartesParisFrance
| | - Anna L. David
- Institute for Women's HealthUniversity College LondonLondonUK
- National Institute for Health ResearchUniversity College London Hospitals Biomedical Research CentreLondonUK
| | - Andrew Melbourne
- School of Biomedical Engineering and Imaging SciencesKing's College LondonLondonUK
- Medical Physics and Biomedical EngineeringUniversity College LondonLondonUK
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You W, Andescavage NN, Kapse K, Donofrio MT, Jacobs M, Limperopoulos C. Hemodynamic Responses of the Placenta and Brain to Maternal Hyperoxia in Fetuses with Congenital Heart Disease by Using Blood Oxygen-Level Dependent MRI. Radiology 2019; 294:141-148. [PMID: 31687920 DOI: 10.1148/radiol.2019190751] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Background Impaired brain development in fetuses with congenital heart disease (CHD) may result from inadequate cerebral oxygen supply in utero. Purpose To test whether fetal cerebral oxygenation can be increased by maternal oxygen administration, effects of maternal hyperoxia on blood oxygenation of the placenta and fetal brain were examined by using blood oxygenation level-dependent (BOLD) functional MRI. Materials and Methods In this prospective study, BOLD MRI was performed in 86 fetuses (56 healthy fetuses and 30 fetuses diagnosed with CHD) between 22 and 39 weeks gestational age (GA) from May 2015 to December 2017, with the following study design: phase I, 2-minute resting state at baseline (room air); phase II, 6-minute maternal hyperoxia with 100% oxygen; and phase III, 5.6-minute return to resting state. After motion correction, the signals were averaged over the placenta and fetal brain and converted to the change in R2* (ΔR2*). Fetuses with CHD were categorized into those with a single ventricle (SV) or two ventricles (TVs) and those with aortic obstruction (AO) or non-AO. Data were analyzed by using generalized linear mixed models controlling for GA and sex. Results Placental ΔR2* increased during maternal hyperoxia in healthy fetuses and fetuses with CHD, but it was higher in SV CHD (mean ΔR2*, 1.3 sec-1 ± 0.1 [standard error; P < .01], 1.9 sec-1 ± 0.2 [P < .01], and 1.0 sec-1 ± 0.3 [P < .01], respectively, for control fetuses, fetuses with SV CHD, and fetuses with TV CHD). Placental ΔR2* during maternal hyperoxia changed with GA in healthy control fetuses and fetuses with SV or AO CHD (ΔR2* per week, 0.1 sec-1 ± 0 [P < .01], 0.2 sec-1 ± 0 [P = .01], and 0.2 sec-1 ± 0 [P = .01], respectively), but not in fetuses with CHD and TV or non-AO. Fetal brain ΔR2* was constant across all phases in healthy control fetuses and fetuses with TV CHD but increased during maternal hyperoxia in fetuses with SV or AO CHD (mean ΔR2*, 0.7 sec-1 ± 0.2 [P = .01] and 0.5 sec-1 ± 0.2 [P = .02], respectively). Conclusion Six minutes of maternal hyperoxia increased placental oxygenation in healthy fetuses and fetuses with congenital heart disease, and it selectively increased cerebral blood oxygenation in fetuses with single ventricle or aortic obstruction. © RSNA, 2019 Online supplemental material is available for this article.
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Affiliation(s)
- Wonsang You
- From the Divisions of Diagnostic Imaging & Radiology (W.Y., K.K., C.L.), Neonatology (N.N.A.), Cardiology (M.T.D.), Fetal & Transitional Medicine (M.T.D., C.L.), and Epidemiology and Biostatistics (M.J.), Children's National Hospital, 111 Michigan Ave NW, Washington, DC 20010; and Department of Pediatrics, George Washington University School of Medicine, Washington, DC (N.N.A., M.T.D., C.L.)
| | - Nickie N Andescavage
- From the Divisions of Diagnostic Imaging & Radiology (W.Y., K.K., C.L.), Neonatology (N.N.A.), Cardiology (M.T.D.), Fetal & Transitional Medicine (M.T.D., C.L.), and Epidemiology and Biostatistics (M.J.), Children's National Hospital, 111 Michigan Ave NW, Washington, DC 20010; and Department of Pediatrics, George Washington University School of Medicine, Washington, DC (N.N.A., M.T.D., C.L.)
| | - Kushal Kapse
- From the Divisions of Diagnostic Imaging & Radiology (W.Y., K.K., C.L.), Neonatology (N.N.A.), Cardiology (M.T.D.), Fetal & Transitional Medicine (M.T.D., C.L.), and Epidemiology and Biostatistics (M.J.), Children's National Hospital, 111 Michigan Ave NW, Washington, DC 20010; and Department of Pediatrics, George Washington University School of Medicine, Washington, DC (N.N.A., M.T.D., C.L.)
| | - Mary T Donofrio
- From the Divisions of Diagnostic Imaging & Radiology (W.Y., K.K., C.L.), Neonatology (N.N.A.), Cardiology (M.T.D.), Fetal & Transitional Medicine (M.T.D., C.L.), and Epidemiology and Biostatistics (M.J.), Children's National Hospital, 111 Michigan Ave NW, Washington, DC 20010; and Department of Pediatrics, George Washington University School of Medicine, Washington, DC (N.N.A., M.T.D., C.L.)
| | - Marni Jacobs
- From the Divisions of Diagnostic Imaging & Radiology (W.Y., K.K., C.L.), Neonatology (N.N.A.), Cardiology (M.T.D.), Fetal & Transitional Medicine (M.T.D., C.L.), and Epidemiology and Biostatistics (M.J.), Children's National Hospital, 111 Michigan Ave NW, Washington, DC 20010; and Department of Pediatrics, George Washington University School of Medicine, Washington, DC (N.N.A., M.T.D., C.L.)
| | - Catherine Limperopoulos
- From the Divisions of Diagnostic Imaging & Radiology (W.Y., K.K., C.L.), Neonatology (N.N.A.), Cardiology (M.T.D.), Fetal & Transitional Medicine (M.T.D., C.L.), and Epidemiology and Biostatistics (M.J.), Children's National Hospital, 111 Michigan Ave NW, Washington, DC 20010; and Department of Pediatrics, George Washington University School of Medicine, Washington, DC (N.N.A., M.T.D., C.L.)
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Hutter J, Jackson L, Ho A, Pietsch M, Story L, Chappell LC, Hajnal JV, Rutherford M. T2* relaxometry to characterize normal placental development over gestation in-vivo at 3T. Wellcome Open Res 2019. [DOI: 10.12688/wellcomeopenres.15451.1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
Background: T2* relaxometry has been identified as a non-invasive way to study the placenta in-vivo with good potential to identify placental insufficiency. Typical interpretation links T2* values to oxygen concentrations. This study aimed to comprehensively assess T2* maps as a marker of placental oxygenation in-vivo. Methods: A multi-echo gradient echo echo planar imaging sequence is used in a cohort of 84 healthy pregnant women. Special emphasis is put on spatial analysis: histogram measures, Histogram Asymmetry Measure (HAM) and lacunarity. Influences of maternal, fetal and placental factors and experimental parameters on the proposed measures are evaluated. Results: T2* maps were obtained from each placenta in less than 30sec. The previously reported decreasing trend in mean T2* with gestation was confirmed (3.45 ms decline per week). Factors such as maternal age, BMI, fetal sex, parity, mode of delivery and placental location were shown to be uncorrelated with T2* once corrected for gestational age. Robustness of the obtained values with regard to variation in segmentation and voxel-size were established. The proposed spatially resolved measures reveal a change in T2* in late gestation. Conclusions: T2* mapping is a robust and quick technique allowing quantification of both whole volume and spatial quantification largely independent of confounding factors.
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Turk EA, Stout JN, Ha C, Luo J, Gagoski B, Yetisir F, Golland P, Wald LL, Adalsteinsson E, Robinson JN, Roberts DJ, Barth WH, Grant PE. Placental MRI: Developing Accurate Quantitative Measures of Oxygenation. Top Magn Reson Imaging 2019; 28:285-297. [PMID: 31592995 PMCID: PMC7323862 DOI: 10.1097/rmr.0000000000000221] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
The Human Placenta Project has focused attention on the need for noninvasive magnetic resonance imaging (MRI)-based techniques to diagnose and monitor placental function throughout pregnancy. The hope is that the management of placenta-related pathologies would be improved if physicians had more direct, real-time measures of placental health to guide clinical decision making. As oxygen alters signal intensity on MRI and oxygen transport is a key function of the placenta, many of the MRI methods under development are focused on quantifying oxygen transport or oxygen content of the placenta. For example, measurements from blood oxygen level-dependent imaging of the placenta during maternal hyperoxia correspond to outcomes in twin pregnancies, suggesting that some aspects of placental oxygen transport can be monitored by MRI. Additional methods are being developed to accurately quantify baseline placental oxygenation by MRI relaxometry. However, direct validation of placental MRI methods is challenging and therefore animal studies and ex vivo studies of human placentas are needed. Here we provide an overview of the current state of the art of oxygen transport and quantification with MRI. We suggest that as these techniques are being developed, increased focus be placed on ensuring they are robust and reliable across individuals and standardized to enable predictive diagnostic models to be generated from the data. The field is still several years away from establishing the clinical benefit of monitoring placental function in real time with MRI, but the promise of individual personalized diagnosis and monitoring of placental disease in real time continues to motivate this effort.
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Affiliation(s)
- Esra Abaci Turk
- Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children’s Hospital, MA, USA
| | - Jeffrey N. Stout
- Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children’s Hospital, MA, USA
| | - Christopher Ha
- Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children’s Hospital, MA, USA
| | - Jie Luo
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Borjan Gagoski
- Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children’s Hospital, MA, USA
| | - Filiz Yetisir
- Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children’s Hospital, MA, USA
| | - Polina Golland
- Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Lawrence L. Wald
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
| | - Elfar Adalsteinsson
- Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology, Cambridge, MA, United States
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Julian N. Robinson
- Department of Obstetrics and Gynecology, Brigham and Women’s Hospital, Boston, USA
| | | | - William H. Barth
- Maternal-Fetal Medicine, Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA, USA
| | - P. Ellen Grant
- Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children’s Hospital, MA, USA
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Micro-CT and histological investigation of the spatial pattern of feto-placental vascular density. Placenta 2019; 88:36-43. [PMID: 31670095 PMCID: PMC6892277 DOI: 10.1016/j.placenta.2019.09.014] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Revised: 09/18/2019] [Accepted: 09/27/2019] [Indexed: 12/03/2022]
Abstract
Introduction There are considerable variations in villous morphology within a normal placenta. However, whether there is a reproducible spatial pattern of variation in villous vascular density is not known. Micro-CT provides three-dimensional volume imaging with spatial resolution down to the micrometre scale. In this study, we applied Micro-CT and histological analysis to investigate the degree of heterogeneity of vascularisation within the placenta. Method Ten term placentas were collected at elective caesarean section, perfused with contrast agent and imaged whole with Micro-CT. Eight full depth tissue blocks were then taken from each placenta and imaged. Sections were taken for histological analysis. Data was analysed to investigate vascular fill, and vascular density in relation to location from cord insertion to placental edge at each scale. Results Whole placental imaging revealed no spatially consistent difference in villous vessel density within the main placental tissue, although there was a great degree of heterogeneity. Both block imaging and histological analysis found a large degree of heterogeneity of vascular density within placentas, but no strong correlation between villous vascular density and block location (rs = 0.066, p = 0.7 block imaging, rs = 0.06, p = 0.6 histological analysis). Discussion This work presents a novel method for imaging the human placenta vascular tree using multiscale Micro-CT imaging. It demonstrates that there is a large degree of variation in vascular density throughout normal term human placentas. The three-dimensional data created by this technique could be used, with more advanced computer analysis, to further investigate the structure of the vascular tree. Micro-CT and histological investigation of vascular density in the placenta. There is a large degree of variation in vascular density throughout placentas. This imaging has potential for future spatial investigation of the 3D vascular tree.
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Chen T, Zhao M, Song J, Mu X, Jiang Y, Zhou X, Zhou X, Dai Y. The effect of maternal hyperoxygenation on placental perfusion in normal and Fetal Growth Restricted pregnancies using Intravoxel Incoherent Motion. Placenta 2019; 88:28-35. [PMID: 31606612 DOI: 10.1016/j.placenta.2019.08.078] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Revised: 07/05/2019] [Accepted: 08/07/2019] [Indexed: 12/25/2022]
Abstract
PURPOSE To evaluate the effect of maternal hyperoxygenation on placental perfusion in normal and Fetal Growth Restricted (FGR) pregnancies using Intravoxel Incoherent Motion (IVIM). METHODS Ten FGR pregnancies and twenty-five normal pregnancies underwent IVIM examinations before and after maternal hyperoxygenation (95% O2, 5% CO2) using a 1.5T MR scanner. The IVIM parameters (fp, Dt, Dp) were determined for the placentas of both groups. The IVIM parameters within and between groups and their correlations with Doppler findings were statistically analyzed. ROC analysis was performed to evaluate the diagnostic power of IVIM derived parameters. RESULTS Before maternal hyperoxygenation, the perfusion fraction fp was significantly lower in the FGR group than that in the normal group (22.88±10.29 (%) vs. 36.28±9.70 (%), p = 0.000). After maternal hyperoxygenation, fp decreased significantly in the normal group (36.28±9.70 (%) vs. 29.93±10.25 (%), p = 0.032), whereas it remained relatively stable in the FGR group (22.88±10.29 (%) vs. 24.38±13.67 (%), p = 0.508). An increase of Dt was found only for the normal group and Dp did not changed significantly after maternal hyperoxygenation. There existed a negative correlation between fppre and umbilical artery pulsatility index (PI) (r = -0.385, p < 0.05) as well as Dtpost and PI (r = -0.574, p < 0.01). The fppre displayed a best diagnostic power of all parameters with the area under curve (AUC) of 0.912. CONCLUSION The perfusion fraction, fp, is able to distinguish FGR from normal pregnancies by its value pre and by its change (or lack thereof) post maternal hyperoxygenation. IVIM may potentially help improve the diagnosis of placenta function as it relates to disease.
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Affiliation(s)
- Ting Chen
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Meng Zhao
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
| | - Jiacheng Song
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
| | - Xihu Mu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Yong Jiang
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Xin Zhou
- Department of Obstetrics & Gynecology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Xuanyi Zhou
- United Imaging Healthcare, MR Collaboration, Shanghai, 201302, China
| | - Yongming Dai
- United Imaging Healthcare, MR Collaboration, Shanghai, 201302, China
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Slator PJ, Hutter J, Palombo M, Jackson LH, Ho A, Panagiotaki E, Chappell LC, Rutherford MA, Hajnal JV, Alexander DC. Combined diffusion-relaxometry MRI to identify dysfunction in the human placenta. Magn Reson Med 2019; 82:95-106. [PMID: 30883915 PMCID: PMC6519240 DOI: 10.1002/mrm.27733] [Citation(s) in RCA: 64] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Revised: 01/04/2019] [Accepted: 01/27/2019] [Indexed: 12/25/2022]
Abstract
PURPOSE A combined diffusion-relaxometry MR acquisition and analysis pipeline for in vivo human placenta, which allows for exploration of coupling between T 2 * and apparent diffusion coefficient (ADC) measurements in a sub 10-minute scan time. METHODS We present a novel acquisition combining a diffusion prepared spin echo with subsequent gradient echoes. The placentas of 17 pregnant women were scanned in vivo, including both healthy controls and participants with various pregnancy complications. We estimate the joint T 2 * -ADC spectra using an inverse Laplace transform. RESULTS T 2 * -ADC spectra demonstrate clear quantitative separation between normal and dysfunctional placentas. CONCLUSIONS Combined T 2 * -diffusivity MRI is promising for assessing fetal and maternal health during pregnancy. The T 2 * -ADC spectrum potentially provides additional information on tissue microstructure, compared to measuring these two contrasts separately. The presented method is immediately applicable to the study of other organs.
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Affiliation(s)
- Paddy J. Slator
- Centre for Medical Image Computing and Department of Computer ScienceUniversity College LondonLondonUnited Kingdom
| | - Jana Hutter
- Biomedical Engineering DepartmentKing’s College LondonLondonUnited Kingdom
- Centre for the Developing BrainKing’s College LondonLondonUnited Kingdom
| | - Marco Palombo
- Centre for Medical Image Computing and Department of Computer ScienceUniversity College LondonLondonUnited Kingdom
| | - Laurence H. Jackson
- Biomedical Engineering DepartmentKing’s College LondonLondonUnited Kingdom
- Centre for the Developing BrainKing’s College LondonLondonUnited Kingdom
| | - Alison Ho
- Women’s Health DepartmentKing’s College LondonLondonUnited Kingdom
| | - Eleftheria Panagiotaki
- Centre for Medical Image Computing and Department of Computer ScienceUniversity College LondonLondonUnited Kingdom
| | - Lucy C. Chappell
- Women’s Health DepartmentKing’s College LondonLondonUnited Kingdom
| | - Mary A. Rutherford
- Centre for the Developing BrainKing’s College LondonLondonUnited Kingdom
| | - Joseph V. Hajnal
- Biomedical Engineering DepartmentKing’s College LondonLondonUnited Kingdom
- Centre for the Developing BrainKing’s College LondonLondonUnited Kingdom
| | - Daniel C. Alexander
- Centre for Medical Image Computing and Department of Computer ScienceUniversity College LondonLondonUnited Kingdom
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Apparent Diffusion Coefficient of the Placenta and Fetal Organs in Intrauterine Growth Restriction. J Comput Assist Tomogr 2019; 43:507-512. [PMID: 30762655 DOI: 10.1097/rct.0000000000000844] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
PURPOSE This study aimed to assess apparent diffusion coefficient (ADC) of the placenta and fetal organs in intrauterine growth restriction (IUGR). MATERIALS AND METHODS A prospective study of 30 consecutive pregnant women (aged 21-38 years with mean age of 31.5 years and a mean gestational week of 35 ± 2.3) with IUGR and 15 age-matched pregnant women was conducted. All patients and controls underwent diffusion-weighted magnetic resonance imaging. The ADCs of the placenta and fetal brain, kidney, and lung were calculated and correlated with neonates needing intensive care unit (ICU) admission. RESULTS There was a significant difference in ADC of the placenta and fetal brain, lung, and kidney (P = 0.001, 0.001, 0.04, and 0.04, respectively) between the patients and the controls. The cutoff ADCs of the placenta and fetal brain, lung, and kidney used to detect IUGR were 1.45, 1.15, 1.80, and 1.40 × 10 mm/s, respectively, with areas under the curve (AUCs) of 0.865, 0.858, 0.812, and 0.650, respectively, and accuracy values of 75%, 72.5%, 72.5%, and 70%, respectively. Combined ADC of the placenta and fetal organs used to detect IUGR revealed an AUC of 1.00 and an accuracy of 100%. There was a significant difference in ADC of the placenta and fetal brain, lung, and kidney between neonates needing admission and those not needing ICU admission (P = 0.001, 0.001, 0.002, and 0.002, respectively). The cutoff ADCs of the placenta and fetal brain, lung, and kidney used to define neonates needing ICU were 1.35, 1.25, 1.95, and 1.15 × 10 mm/s with AUCs of 0.955, 0.880, 0.884, and 0.793, respectively, and accuracy values of 86.7%, 46.7%, 76.7%, and 70%, respectively. Combined placental and fetal brain ADC used to define neonates needing ICU revealed an AUC of 0.968 and an accuracy of 93.3%. CONCLUSION Combined ADC of the placenta and fetal organs can detect IUGR, and combined ADC of the placenta and fetal brain can define fetuses needing ICU.
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Nye GA, Ingram E, Johnstone ED, Jensen OE, Schneider H, Lewis RM, Chernyavsky IL, Brownbill P. Human placental oxygenation in late gestation: experimental and theoretical approaches. J Physiol 2018; 596:5523-5534. [PMID: 29377190 PMCID: PMC6265570 DOI: 10.1113/jp275633] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Accepted: 01/18/2018] [Indexed: 01/26/2023] Open
Abstract
The placenta is crucial for life. It is an ephemeral but complex organ acting as the barrier interface between maternal and fetal circulations, providing exchange of gases, nutrients, hormones, waste products and immunoglobulins. Many gaps exist in our understanding of the detailed placental structure and function, particularly in relation to oxygen handling and transfer in healthy and pathological states in utero. Measurements to understand oxygen transfer in vivo in the human are limited, with no general agreement on the most appropriate methods. An invasive method for measuring partial pressure of oxygen in the intervillous space through needle electrode insertion at the time of Caesarean sections has been reported. This allows for direct measurements in vivo whilst maintaining near normal placental conditions; however, there are practical and ethical implications in using this method for determination of placental oxygenation. Furthermore, oxygen levels are likely to be highly heterogeneous within the placenta. Emerging non-invasive techniques, such as MRI, and ex vivo research are capable of enhancing and improving current imaging methodology for placental villous structure and increase the precision of oxygen measurement within placental compartments. These techniques, in combination with mathematical modelling, have stimulated novel cross-disciplinary approaches that could advance our understanding of placental oxygenation and its metabolism in normal and pathological pregnancies, improving clinical treatment options and ultimately outcomes for the patient.
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Affiliation(s)
- Gareth A Nye
- Maternal and Fetal Health Research Centre, Division of Developmental Biology and Medicine, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, M13 9WL, UK.,St Mary's Hospital, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, M13 9WL, UK
| | - Emma Ingram
- Maternal and Fetal Health Research Centre, Division of Developmental Biology and Medicine, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, M13 9WL, UK.,St Mary's Hospital, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, M13 9WL, UK
| | - Edward D Johnstone
- Maternal and Fetal Health Research Centre, Division of Developmental Biology and Medicine, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, M13 9WL, UK.,St Mary's Hospital, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, M13 9WL, UK
| | - Oliver E Jensen
- School of Mathematics, University of Manchester, Manchester, M13 9PL, UK
| | - Henning Schneider
- Department of Obstetrics and Gynecology, Inselspital, University of Bern, CH-3010, Bern, Switzerland
| | - Rohan M Lewis
- Faculty of Medicine, University of Southampton, Southampton, SO16 6YD, UK
| | - Igor L Chernyavsky
- Maternal and Fetal Health Research Centre, Division of Developmental Biology and Medicine, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, M13 9WL, UK.,St Mary's Hospital, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, M13 9WL, UK.,School of Mathematics, University of Manchester, Manchester, M13 9PL, UK
| | - Paul Brownbill
- Maternal and Fetal Health Research Centre, Division of Developmental Biology and Medicine, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, M13 9WL, UK.,St Mary's Hospital, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, M13 9WL, UK
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Carlin A, Kadji C, De Angelis R, Cannie MM, Jani JC. Prenatal prediction of small-for-gestational age neonates using MR imaging: comparison with conventional 2D ultrasound. J Matern Fetal Neonatal Med 2017; 32:1673-1681. [DOI: 10.1080/14767058.2017.1414797] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Andrew Carlin
- Department of Obstetrics and Gynaecology, University Hospital Brugmann, Brussels, Belgium
| | - Caroline Kadji
- Department of Obstetrics and Gynaecology, University Hospital Brugmann, Brussels, Belgium
| | | | - Mieke M. Cannie
- Department of Radiology, University Hospital Brugmann, Brussels, Belgium
- Department of Radiology, UZ Brussel, Vrije Universiteit Brussel, Brussels, Belgium
| | - Jacques C. Jani
- Department of Obstetrics and Gynaecology, University Hospital Brugmann, Brussels, Belgium
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