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Verdera JA, 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 PMCID: PMC7617244 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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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: 18] [Impact Index Per Article: 6.0] [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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