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Cromb D, Steinweg J, Aviles Verdera J, van Poppel MP, Bonthrone AF, Lloyd DF, Pushparajah K, Simpson J, Razavi R, Rutherford M, Counsell SJ, Hutter J. T2*-Relaxometry MRI to Assess Third Trimester Placental and Fetal Brain Oxygenation and Placental Characteristics in Healthy Fetuses and Fetuses With Congenital Heart Disease. J Magn Reson Imaging 2025; 61:1246-1255. [PMID: 38994701 PMCID: PMC11803691 DOI: 10.1002/jmri.29498] [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: 03/05/2024] [Revised: 06/06/2024] [Accepted: 06/07/2024] [Indexed: 07/13/2024] Open
Abstract
BACKGROUND Congenital heart disease (CHD) has been linked to impaired placental and fetal brain development. Assessing the placenta and fetal brain in parallel may help further our understanding of the relationship between development of these organs. HYPOTHESIS 1) Placental and fetal brain oxygenation are correlated, 2) oxygenation in these organs is reduced in CHD compared to healthy controls, and 3) placental structure is altered in CHD. STUDY TYPE Retrospective case-control. POPULATION Fifty-one human fetuses with CHD (32 male; median [IQR] gestational age [GA] = 32.0 [30.9-32.9] weeks) and 30 from uncomplicated pregnancies with normal birth outcomes (18 male; median [IQR] GA = 34.5 [31.9-36.7] weeks). FIELD STRENGTH/SEQUENCE 1.5 T single-shot multi-echo-gradient-echo echo-planar imaging. ASSESSMENT Masking was performed using an automated nnUnet model. Mean brain and placental T2* and quantitative measures of placental texture, volume, and morphology were calculated. STATISTICAL TESTS Spearman's correlation coefficient for determining the association between brain and placental T2*, and between brain and placental characteristics with GA. P-values for comparing brain T2*, placenta T2*, and placental characteristics between groups derived from ANOVA. Significance level P < 0.05. RESULTS There was a significant positive association between placental and fetal brain T2* (⍴ = 0.46). Placental and fetal brain T2* showed a significant negative correlation with GA (placental T2* ⍴ = -0.65; fetal brain T2* ⍴ = -0.32). Both placental and fetal brain T2* values were significantly reduced in CHD, after adjusting for GA (placental T2*: control = 97 [±24] msec, CHD = 83 [±23] msec; brain T2*: control = 218 [±26] msec, CHD = 202 [±25] msec). Placental texture and morphology were also significantly altered in CHD (Texture: control = 0.84 [0.83-0.87], CHD = 0.80 [0.78-0.84]; Morphology: control = 9.9 [±2.2], CHD = 10.8 [±2.0]). For all fetuses, there was a significant positive association between placental T2* and placental texture (⍴ = 0.46). CONCLUSION Placental and fetal brain T2* values are associated in healthy fetuses and those with CHD. Placental and fetal brain oxygenation are reduced in CHD. Placental appearance is significantly altered in CHD and shows associations with placental oxygenation, suggesting altered placental development and function may be related. EVIDENCE LEVEL 3 TECHNICAL EFFICACY: Stage 3.
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Affiliation(s)
- Daniel Cromb
- Centre for the Developing BrainSchool of Biomedical and Engineering Sciences, King's College LondonLondonUK
| | - Johannes Steinweg
- Department of Cardiovascular ImagingSchool of Biomedical Engineering & Imaging Science, King's College LondonLondonUK
| | - Jordina Aviles Verdera
- Centre for the Developing BrainSchool of Biomedical and Engineering Sciences, King's College LondonLondonUK
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging SciencesKing's College LondonLondonUK
| | - Milou P.M. van Poppel
- Department of Cardiovascular ImagingSchool of Biomedical Engineering & Imaging Science, King's College LondonLondonUK
| | - Alexandra F. Bonthrone
- Centre for the Developing BrainSchool of Biomedical and Engineering Sciences, King's College LondonLondonUK
| | - David F.A. Lloyd
- Centre for the Developing BrainSchool of Biomedical and Engineering Sciences, King's College LondonLondonUK
- Department of Cardiovascular ImagingSchool of Biomedical Engineering & Imaging Science, King's College LondonLondonUK
| | - Kuberan Pushparajah
- Department of Cardiovascular ImagingSchool of Biomedical Engineering & Imaging Science, King's College LondonLondonUK
| | - John Simpson
- Department of Cardiovascular ImagingSchool of Biomedical Engineering & Imaging Science, King's College LondonLondonUK
| | - Reza Razavi
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging SciencesKing's College LondonLondonUK
| | - Mary Rutherford
- Centre for the Developing BrainSchool of Biomedical and Engineering Sciences, King's College LondonLondonUK
- MRC Centre for Neurodevelopmental DisordersKing's College LondonLondonUK
| | - Serena J. Counsell
- Centre for the Developing BrainSchool of Biomedical and Engineering Sciences, King's College LondonLondonUK
| | - Jana Hutter
- Centre for the Developing BrainSchool of Biomedical and Engineering Sciences, King's College LondonLondonUK
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging SciencesKing's College LondonLondonUK
- Smart Imaging Lab, Radiological InstituteUniversity Hospital ErlangenErlangenGermany
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Pishghadam M, Haizler-Cohen L, Ngwa JS, Yao W, Kapse K, Iqbal SN, Limperopoulos C, Andescavage NN. Placental quantitative susceptibility mapping and T2* characteristics for predicting birth weight in healthy and high-risk pregnancies. Eur Radiol Exp 2025; 9:18. [PMID: 39966316 PMCID: PMC11836258 DOI: 10.1186/s41747-025-00565-2] [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: 06/27/2024] [Accepted: 01/24/2025] [Indexed: 02/20/2025] Open
Abstract
BACKGROUND The human placenta is critical in supporting fetal development, and placental dysfunction may compromise maternal-fetal health. Early detection of placental dysfunction remains challenging due to the lack of reliable biomarkers. This study compares placental quantitative susceptibility mapping and T2* values between healthy and high-risk pregnancies and investigates their association with maternal and fetal parameters and their ability to predict birth weight (BW). METHODS A total of 105 pregnant individuals were included: 68 healthy controls and 37 high-risk due to fetal growth restriction (FGR), chronic or gestational hypertension, and pre-eclampsia. Placental magnetic resonance imaging data were collected using a three-dimensional multi-echo radiofrequency-spoiled gradient-echo, and mean susceptibility and T2* values were calculated. To analyze associations and estimate BW, we employed linear regression and regression forest models. RESULTS No significant differences were found in susceptibility between high-risk pregnancies and controls (p = 0.928). T2* values were significantly lower in high-risk pregnancies (p = 0.013), particularly in pre-eclampsia and FGR, emerging as a predictor of BW. The regression forest model showed placental T2* as a promising mode for BW estimation. CONCLUSION Our findings underscore the potential of mean placental T2* as a more sensitive marker for detecting placental dysfunction in high-risk pregnancies than mean placental susceptibility. Moreover, the high-risk status emerged as a significant predictor of BW. These results call for further research with larger and more diverse populations to validate these findings and enhance prediction models for improved pregnancy management. RELEVANCE STATEMENT This study highlights the potential of placental T2* magnetic resonance imaging measurements as reliable indicators for detecting placental dysfunction in high-risk pregnancies, aiding in improved prenatal care and birth weight prediction. KEY POINTS Placental dysfunction in high-risk pregnancies is evaluated using MRI T2* values. Lower T2* values significantly correlate with pre-eclampsia and fetal growth restriction. T2* MRI may predict birth weight, enhancing prenatal care outcomes.
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Affiliation(s)
- Morteza Pishghadam
- Developing Brain Institute, Division of Diagnostic Imaging and Radiology, Children's National Hospital, Washington, DC, USA
| | - Lylach Haizler-Cohen
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, MedStar Washington Hospital Center, Washington, DC, USA
| | - Julius S Ngwa
- Developing Brain Institute, Division of Diagnostic Imaging and Radiology, Children's National Hospital, Washington, DC, USA
| | - Wu Yao
- Developing Brain Institute, Division of Diagnostic Imaging and Radiology, Children's National Hospital, Washington, DC, USA
| | - Kushal Kapse
- Developing Brain Institute, Division of Diagnostic Imaging and Radiology, Children's National Hospital, Washington, DC, USA
| | - Sara N Iqbal
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, MedStar Washington Hospital Center, Washington, DC, USA
| | - Catherine Limperopoulos
- Developing Brain Institute, Division of Diagnostic Imaging and Radiology, Children's National Hospital, Washington, DC, USA
- Department of Radiology, School of Medicine, and Health Sciences, George Washington University, Washington, DC, USA
- Department of Pediatrics, School of Medicine, and Health Sciences, George Washington University, Washington, DC, USA
| | - Nickie N Andescavage
- Developing Brain Institute, Division of Diagnostic Imaging and Radiology, Children's National Hospital, Washington, DC, USA.
- Division of Neonatology, Children's National Hospital, Washington, DC, USA.
- Department of Pediatrics, School of Medicine, and Health Sciences, George Washington University, Washington, DC, USA.
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Pishghadam M, Ngwa JS, Wu Y, Kapse K, Haizler-Cohen L, Bulas D, Limperopoulos C, Andescavage NN. Single vs. multi-slice assessments of in vivo placental T2∗ measurements. Placenta 2024; 156:92-97. [PMID: 39293186 PMCID: PMC11515947 DOI: 10.1016/j.placenta.2024.09.006] [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: 04/27/2024] [Revised: 08/30/2024] [Accepted: 09/09/2024] [Indexed: 09/20/2024]
Abstract
INTRODUCTION Placental health is vital for maternal and fetal well-being, and placental T2∗ has been suggested to identify in vivo placental dysfunction prior to delivery. However, ideal regions of interest to best inform functional assessments of the placenta remain unknown. The aim of this study is to compare global and slice-wise measures of in-vivo placental T2∗ assessments. METHODS This prospective study recruited pregnant people with singleton pregnancies between December 2017 and February 2022.3D multi-echo RF-spoiled gradient echo sequences were acquired, and placental T2∗ values were derived from global and slice-wise approaches. Statistical analyses included Pearson correlation coefficients, concordance correlation coefficients (CCC), intraclass correlation coefficients (ICC), and Bland-Altman analyses. RESULTS Of 115 participants (mean gestational age, 29.25 ± 5.05 weeks), 68 were healthy controls, and 47 were high-risk pregnancies. Global and slice-wise placental T2∗ assessments for the entire cohort showed no significant difference nor for individual subgroups (healthy controls or high-risk). Pearson correlation values ranged between 0.88 and 0.99 for mean global and slice-wise placental T2∗. CCC analyses ranged from 0.88 to 0.99 for mean T2∗, and ICC analyses ranged between 0.88 and 0.99 for mean T2∗, showing a strong agreement between measurements. Bland-Altman analyses depicted T2∗ differences across coverage methods, and groups resided within the 95 % limits of agreement. DISCUSSION Single-slice placental assessments offer robust, comparable T2∗ values to global assessments, with the added benefit of reducing post-processing time and SAR exposure. This supports slice-wise approaches as valid alternatives for assessing placental health in various pregnancies.
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Affiliation(s)
- Morteza Pishghadam
- Developing Brain Institute, Division of Diagnostic Imaging and Radiology, Children's National Hospital, Washington DC, USA.
| | - Julius S Ngwa
- Developing Brain Institute, Division of Diagnostic Imaging and Radiology, Children's National Hospital, Washington DC, USA.
| | - Yao Wu
- Developing Brain Institute, Division of Diagnostic Imaging and Radiology, Children's National Hospital, Washington DC, USA.
| | - Kushal Kapse
- Developing Brain Institute, Division of Diagnostic Imaging and Radiology, Children's National Hospital, Washington DC, USA.
| | - Lylach Haizler-Cohen
- Developing Brain Institute, Division of Diagnostic Imaging and Radiology, Children's National Hospital, Washington DC, USA; Department of Obstetrics & Gynecology, MedStar Washington Hospital Center, Washington, DC, USA.
| | - Dorothy Bulas
- Developing Brain Institute, Division of Diagnostic Imaging and Radiology, Children's National Hospital, Washington DC, USA; Department of Radiology, School of Medicine and Health Sciences, George Washington University, Washington DC, USA; Department of Pediatrics, 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; Department of Radiology, School of Medicine and Health Sciences, George Washington University, Washington DC, USA; Department of Pediatrics, School of Medicine and Health Sciences, George Washington University, Washington DC, USA.
| | - Nickie Niforatos Andescavage
- Developing Brain Institute, Division of Diagnostic Imaging and Radiology, Children's National Hospital, Washington DC, USA; Division of Neonatology, Children's National Hospital, Washington DC, USA.
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Gibbins KJ, Roberts VHJ, Lo JO, Boniface ER, Schabel MC, Silver RM, Frias AE. MRI assessed placental volume and adverse pregnancy outcomes: Secondary analysis of prospective cohort study. Placenta 2024; 154:168-175. [PMID: 39018609 PMCID: PMC11368624 DOI: 10.1016/j.placenta.2024.07.007] [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: 02/01/2024] [Revised: 07/10/2024] [Accepted: 07/11/2024] [Indexed: 07/19/2024]
Abstract
INTRODUCTION Our goal was to evaluate the potential utility of magnetic resonance imaging (MRI) placental volume as an assessment of placental insufficiency. METHODS Secondary analysis of a prospective cohort undergoing serial placental MRIs at two academic tertiary care centers. The population included 316 participants undergoing MRI up to three times throughout gestation. MRI was used to calculate placental volume in milliliters (ml). Placental-mediated adverse pregnancy outcome (cAPO) included preeclampsia with severe features, abnormal antenatal surveillance, and perinatal mortality. Serial measurements were grouped as time point 1 (TP1) <22 weeks, TP2 22 0/7-29 6/7 weeks, and TP3 ≥30 weeks. Mixed effects models compared change in placental volume across gestation between cAPO groups. Association between cAPO and placental volume was determined using logistic regression at each TP with discrimination evaluated using area under receiver operator curve (AUC). Placental volume was then added to known clinical predictive variables and evaluated with test characteristics and calibration. RESULTS 59 (18.7 %) of 316 participants developed cAPO. Placental volume growth across gestation was slower in the cAPO group (p < 0.001). Placental volume was lower in the cAPO group at all time points, and alone was moderately predictive of cAPO at TP3 (AUC 0.756). Adding placental volume to clinical variables had moderate discrimination at all time points, with strongest test characteristics at TP3 (AUC 0.792) with sensitivity of 77.5 % and specificity of 75.3 % at a predicted probability cutoff of 15 %. DISCUSSION MRI placental volume warrants further study for assessment of placental insufficiency, particularly later in gestation.
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Affiliation(s)
- Karen J Gibbins
- Department of Obstetrics & Gynecology, Oregon Health & Science University, Portland, Oregon, USA.
| | - Victoria H J Roberts
- Oregon National Primate Research Center, Oregon Health & Science University, Portland, Oregon, USA
| | - Jamie O Lo
- Department of Obstetrics & Gynecology, Oregon Health & Science University, Oregon National Primate Research Center, Portland, Oregon, USA
| | - Emily R Boniface
- Department of Obstetrics & Gynecology, Oregon Health & Science University, Portland, Oregon, USA
| | - Matthias C Schabel
- Advanced Imaging Resource Center, Oregon Health & Science University, Portland, Oregon, USA
| | - Robert M Silver
- Department of Obstetrics & Gynecology, University of Utah Health, Salt Lake City, Utah, USA
| | - Antonio E Frias
- Department of Obstetrics & Gynecology, Oregon Health & Science University, Portland, Oregon, USA
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Sagberg K, Eskild A, Sommerfelt S, Halle TK, Hillestad V, Haavaldsen C. Two-dimensional (2D) placental ultrasound measurements - The correlation with placental volume measured by magnetic resonance imaging (MRI). Placenta 2024; 149:7-12. [PMID: 38452718 DOI: 10.1016/j.placenta.2024.02.010] [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: 07/17/2023] [Revised: 02/23/2024] [Accepted: 02/26/2024] [Indexed: 03/09/2024]
Abstract
INTRODUCTION Information about placental size in ongoing pregnancies may aid the identification of pregnancies with increased risk of adverse outcome. Placental volume can be measured using magnetic resonance imaging (MRI). However, this method is not universally available in antenatal care. Ultrasound is the diagnostic tool of choice in pregnancy. Therefore, we studied whether simple two-dimensional (2D) ultrasound placental measurements were correlated with placental volume measured by MRI. METHODS We examined a convenience sample of 104 ongoing pregnancies at gestational week 27, using both ultrasound and MRI. The ultrasound measurements included placental length, width and thickness. Placental volume was measured using MRI. The correlation between each 2D placental ultrasound measurement and placental volume was estimated by applying Pearson's correlation coefficient (r). RESULTS Mean placental length was 17.2 cm (SD 2.1 cm), mean width was 14.7 cm (SD 2.1 cm), and mean thickness was 3.2 cm (SD 0.6 cm). Mean placental volume was 536 cm3 (SD 137 cm3). The 2D ultrasound measurements showed poor correlation with placental volume (placental length; r = 0.27, width; r = 0.37, and thickness r = 0.13). DISCUSSION Simple 2D ultrasound measurements of the placenta were poorly correlated with placental volume and cannot be used as proximate measures of placental volume. Our finding may be explained by the large variation between pregnancies in intrauterine placental shape.
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Affiliation(s)
- Karianne Sagberg
- Department of Obstetrics and Gynecology, Akershus University Hospital, P.O. Box 1000, N-1478, Lørenskog, Norway; Institute of Clinical Medicine, University of Oslo, P.O. Box 1171 Blindern, N-0318, Oslo, Norway.
| | - Anne Eskild
- Department of Obstetrics and Gynecology, Akershus University Hospital, P.O. Box 1000, N-1478, Lørenskog, Norway; Institute of Clinical Medicine, University of Oslo, P.O. Box 1171 Blindern, N-0318, Oslo, Norway
| | - Silje Sommerfelt
- Department of Obstetrics and Gynecology, Akershus University Hospital, P.O. Box 1000, N-1478, Lørenskog, Norway; Institute of Clinical Medicine, University of Oslo, P.O. Box 1171 Blindern, N-0318, Oslo, Norway
| | - Tuva K Halle
- Department of Obstetrics and Gynecology, Akershus University Hospital, P.O. Box 1000, N-1478, Lørenskog, Norway; Institute of Clinical Medicine, University of Oslo, P.O. Box 1171 Blindern, N-0318, Oslo, Norway
| | - Vigdis Hillestad
- Department of Obstetrics and Gynecology, Akershus University Hospital, P.O. Box 1000, N-1478, Lørenskog, Norway; Department of Diagnostic Imaging, Akershus University Hospital, P.O. Box 1000, N-1478, Lørenskog, Norway
| | - Camilla Haavaldsen
- Department of Obstetrics and Gynecology, Akershus University Hospital, P.O. Box 1000, N-1478, Lørenskog, Norway
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