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Schmidbauer VU, Houech IVM, Malik J, Watzenboeck ML, Mittermaier R, Kienast P, Haberl C, Pogledic I, Mitter C, Dovjak GO, Krauskopf A, Prayer F, Stuempflen M, Dorittke T, Gantner NA, Binder J, Bettelheim D, Kiss H, Haberler C, Gelpi E, Prayer D, Kasprian G. Synthetic MRI and MR Fingerprinting-Derived Relaxometry of Antenatal Human Brainstem Myelination: A Postmortem-Based Quantitative Imaging Study. AJNR Am J Neuroradiol 2024; 45:1327-1334. [PMID: 38991765 PMCID: PMC11392359 DOI: 10.3174/ajnr.a8337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 04/23/2024] [Indexed: 07/13/2024]
Abstract
BACKGROUND AND PURPOSE The radiologic evaluation of ongoing myelination is currently limited prenatally. Novel quantitative MR imaging modalities provide relaxometric properties that are linked to myelinogenesis. In this retrospective postmortem imaging study, the capability of Synthetic MR imaging and MR fingerprinting-derived relaxometry for tracking fetal myelin development was investigated. Moreover, the consistency of results for both MR approaches was analyzed. MATERIALS AND METHODS In 26 cases, quantitative postmortem fetal brain MR data were available (gestational age range, 15 + 1 to 32 + 1; female/male ratio, 14/12). Relaxometric measurements (T1-/T2-relexation times) were determined in the medulla oblongata and the midbrain using Synthetic MR imaging/MR fingerprinting-specific postprocessing procedures (Synthetic MR imaging and MR Robust Quantitative Tool for MR fingerprinting). The Pearson correlations were applied to detect relationships between T1-relaxation times/T2-relaxation times metrics and gestational age at MR imaging. Intraclass correlation coefficients were calculated to assess the consistency of the results provided by both modalities. RESULTS Both modalities provided quantitative data that revealed negative correlations with gestational age at MR imaging: Synthetic MR imaging-derived relaxation times (medulla oblongata [r = -0.459; P = .021]; midbrain [r = -0.413; P = .040]), T2-relaxation times (medulla oblongata [r = -0.625; P < .001]; midbrain [r = -0.571; P = .003]), and MR fingerprinting-derived T1-relaxation times (medulla oblongata [r = -0.433; P = .035]; midbrain [r = -0.386; P = .062]), and T2-relaxation times (medulla oblongata [r =-0.883; P < .001]; midbrain [r = -0.890; P < .001]).The intraclass correlation coefficient analysis for result consistency between both MR approaches ranged between 0.661 (95% CI, 0.351-0.841) (T2-relaxation times: medulla oblongata) and 0.920 (95% CI, 0.82-0.965) (T1-relaxation times: midbrain). CONCLUSIONS There is a good-to-excellent consistency between postmortem Synthetic MR imaging and MR fingerprinting myelin quantifications in fetal brains older than 15 + 1 gestational age. The strong correlations between quantitative myelin metrics and gestational age indicate the potential of quantitative MR imaging to identify delayed or abnormal states of myelination at prenatal stages of cerebral development.
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Affiliation(s)
- Victor U Schmidbauer
- From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., I.-V.M.H., J.M., M.L.W., R.M., P.K., I.P., C.M., G.O.D., A.K., F.P., M.S., T.D., N.A.G., D.P., G.K.), Medical University of Vienna, Vienna, Austria
| | - Intesar-Victoria Malla Houech
- From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., I.-V.M.H., J.M., M.L.W., R.M., P.K., I.P., C.M., G.O.D., A.K., F.P., M.S., T.D., N.A.G., D.P., G.K.), Medical University of Vienna, Vienna, Austria
- Department of Diagnostic Imaging (I.-V.M.H.), Medical University of Sofia, Sofia, Bulgaria
- Alexander R. Margulis Fellowship 2022 (I.-V.M.H., J.M.)
| | - Jakob Malik
- From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., I.-V.M.H., J.M., M.L.W., R.M., P.K., I.P., C.M., G.O.D., A.K., F.P., M.S., T.D., N.A.G., D.P., G.K.), Medical University of Vienna, Vienna, Austria
| | - Martin L Watzenboeck
- From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., I.-V.M.H., J.M., M.L.W., R.M., P.K., I.P., C.M., G.O.D., A.K., F.P., M.S., T.D., N.A.G., D.P., G.K.), Medical University of Vienna, Vienna, Austria
| | - Rebecca Mittermaier
- From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., I.-V.M.H., J.M., M.L.W., R.M., P.K., I.P., C.M., G.O.D., A.K., F.P., M.S., T.D., N.A.G., D.P., G.K.), Medical University of Vienna, Vienna, Austria
| | - Patric Kienast
- From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., I.-V.M.H., J.M., M.L.W., R.M., P.K., I.P., C.M., G.O.D., A.K., F.P., M.S., T.D., N.A.G., D.P., G.K.), Medical University of Vienna, Vienna, Austria
| | - Christina Haberl
- Department of Obstetrics and Feto-Maternal Medicine (C. Haberl, T.D., J.B., D.B., H.K.), Medical University of Vienna, Vienna, Austria
| | - Ivana Pogledic
- From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., I.-V.M.H., J.M., M.L.W., R.M., P.K., I.P., C.M., G.O.D., A.K., F.P., M.S., T.D., N.A.G., D.P., G.K.), Medical University of Vienna, Vienna, Austria
| | - Christian Mitter
- From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., I.-V.M.H., J.M., M.L.W., R.M., P.K., I.P., C.M., G.O.D., A.K., F.P., M.S., T.D., N.A.G., D.P., G.K.), Medical University of Vienna, Vienna, Austria
| | - Gregor O Dovjak
- From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., I.-V.M.H., J.M., M.L.W., R.M., P.K., I.P., C.M., G.O.D., A.K., F.P., M.S., T.D., N.A.G., D.P., G.K.), Medical University of Vienna, Vienna, Austria
| | - Astrid Krauskopf
- From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., I.-V.M.H., J.M., M.L.W., R.M., P.K., I.P., C.M., G.O.D., A.K., F.P., M.S., T.D., N.A.G., D.P., G.K.), Medical University of Vienna, Vienna, Austria
| | - Florian Prayer
- From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., I.-V.M.H., J.M., M.L.W., R.M., P.K., I.P., C.M., G.O.D., A.K., F.P., M.S., T.D., N.A.G., D.P., G.K.), Medical University of Vienna, Vienna, Austria
| | - Marlene Stuempflen
- From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., I.-V.M.H., J.M., M.L.W., R.M., P.K., I.P., C.M., G.O.D., A.K., F.P., M.S., T.D., N.A.G., D.P., G.K.), Medical University of Vienna, Vienna, Austria
| | - Tim Dorittke
- From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., I.-V.M.H., J.M., M.L.W., R.M., P.K., I.P., C.M., G.O.D., A.K., F.P., M.S., T.D., N.A.G., D.P., G.K.), Medical University of Vienna, Vienna, Austria
- Department of Obstetrics and Feto-Maternal Medicine (C. Haberl, T.D., J.B., D.B., H.K.), Medical University of Vienna, Vienna, Austria
| | - Nikolai A Gantner
- From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., I.-V.M.H., J.M., M.L.W., R.M., P.K., I.P., C.M., G.O.D., A.K., F.P., M.S., T.D., N.A.G., D.P., G.K.), Medical University of Vienna, Vienna, Austria
| | - Julia Binder
- Department of Obstetrics and Feto-Maternal Medicine (C. Haberl, T.D., J.B., D.B., H.K.), Medical University of Vienna, Vienna, Austria
| | - Dieter Bettelheim
- Department of Obstetrics and Feto-Maternal Medicine (C. Haberl, T.D., J.B., D.B., H.K.), Medical University of Vienna, Vienna, Austria
| | - Herbert Kiss
- Department of Obstetrics and Feto-Maternal Medicine (C. Haberl, T.D., J.B., D.B., H.K.), Medical University of Vienna, Vienna, Austria
| | - Christine Haberler
- Division of Neuropathology and Neurochemistry (C. Haberler, E.G.), Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Ellen Gelpi
- Division of Neuropathology and Neurochemistry (C. Haberler, E.G.), Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Daniela Prayer
- From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., I.-V.M.H., J.M., M.L.W., R.M., P.K., I.P., C.M., G.O.D., A.K., F.P., M.S., T.D., N.A.G., D.P., G.K.), Medical University of Vienna, Vienna, Austria
| | - Gregor Kasprian
- From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., I.-V.M.H., J.M., M.L.W., R.M., P.K., I.P., C.M., G.O.D., A.K., F.P., M.S., T.D., N.A.G., D.P., G.K.), Medical University of Vienna, Vienna, Austria
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Sun C, Ghassaban K, Song J, Chen Y, Zhang C, Qu F, Zhu J, Wang G, Haacke EM. Quantifying calcium changes in the fetal spine using quantitative susceptibility mapping as extracted from STAGE imaging. Eur Radiol 2023; 33:606-614. [PMID: 36044065 PMCID: PMC10662431 DOI: 10.1007/s00330-022-09042-5] [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: 03/18/2022] [Revised: 06/11/2022] [Accepted: 07/19/2022] [Indexed: 11/25/2022]
Abstract
OBJECTIVES To evaluate calcium deposition in the fetal spine in vivo during the second and third trimesters using quantitative susceptibility mapping (QSM). METHODS Fifty-four pregnant women in their second and third trimesters underwent a 2D multi-echo STrategically Acquired Gradient Echo (STAGE) MR imaging protocol at 3T covering the fetal spine. The first echo data was used for QSM processing. A linear regression model was used to assess the correlation between magnetic susceptibility and gestational age (GA). A paired sample t-test was used to compare the consistency of QSM measurements from each sequence. RESULTS The magnetic susceptibility of the fetal spine decreased linearly with advancing GA, with a slope of -52.3 parts per billion (ppb)/week and a Pearson correlation coefficient (r) of 0.83 (p < 0.001). In 37 subjects for whom the STAGE local QSM data were available from both flip angles, the average magnetic susceptibility values were -1111 ± 278 ppb and -1081 ± 262 ppb for FA = 8° and FA = 40°, respectively. These means were not statistically different according to a paired sample t-test (p = 0.156). CONCLUSIONS QSM is a reliable technique for evaluating calcium deposition and bone mineral density of fetal vertebrae. Our results demonstrate an increase in fetal calcium levels as a function of GA. These measures might be able to provide reference values for calcium content in the fetal spine during the second and third trimesters. KEY POINTS • Calcium deposition and mineralization in the fetal spine, evaluated by vertebral magnetic susceptibility, increased with advancing gestational age. • Our results provide reference values for calcium content in the fetal spine during the second and third trimesters.
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Affiliation(s)
- Cong Sun
- Department of Radiology, Shandong Provincial Hospital, Shandong University, Jinan, China
- Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Kiarash Ghassaban
- Department of Radiology, Wayne State University, Detroit, MI, USA
- SpinTech MRI Inc., Bingham Farms, MI, USA
| | - Jiaguang Song
- Department of Ultrasound, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Yufan Chen
- Department of Radiology, Shandong Provincial Hospital, Shandong University, Jinan, China
| | - Chao Zhang
- Department of Radiology, Shandong Provincial Hospital, Shandong University, Jinan, China
| | - Feifei Qu
- MR Collaboration, Siemens Healthineers Ltd., Shanghai, China
| | - Jinxia Zhu
- MR Collaboration, Siemens Healthineers Ltd., Beijing, China
| | - Guangbin Wang
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 324, Jingwu Road, Jinan, 250021, Shandong, China.
| | - E Mark Haacke
- Department of Radiology, Wayne State University, Detroit, MI, USA.
- SpinTech MRI Inc., Bingham Farms, MI, USA.
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Schmidbauer VU, Dovjak GO, Yildirim MS, Mayr-Geisl G, Weber M, Diogo MC, Gruber GM, Prayer F, Milos RI, Stuempflen M, Ulm B, Binder J, Bettelheim D, Kiss H, Prayer D, Kasprian G. Mapping Human Fetal Brain Maturation In Vivo Using Quantitative MRI. AJNR Am J Neuroradiol 2021; 42:2086-2093. [PMID: 34503947 DOI: 10.3174/ajnr.a7286] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2021] [Accepted: 07/19/2021] [Indexed: 01/16/2023]
Abstract
BACKGROUND AND PURPOSE On the basis of a single multidynamic multiecho sequence acquisition, SyMRI generates a variety of quantitative image data that can characterize tissue-specific properties. The aim of this retrospective study was to evaluate the feasibility of SyMRI for the qualitative and quantitative assessment of fetal brain maturation. MATERIALS AND METHODS In 52 fetuses, multidynamic multiecho sequence acquisitions were available. SyMRI was used to perform multidynamic multiecho-based postprocessing. Fetal brain maturity was scored qualitatively on the basis of SyMRI-generated MR imaging data. The results were compared with conventionally acquired T1-weighted/T2-weighted contrasts as a standard of reference. Myelin-related changes in T1-/T2-relaxation time/relaxation rate, proton density, and MR imaging signal intensity of the developing fetal brain stem were measured. A Pearson correlation analysis was used to detect correlations between the following: 1) the gestational age at MR imaging and the fetal brain maturity score, and 2) the gestational age at MR imaging and the quantitative measurements. RESULTS SyMRI provided images of sufficient quality in 12/52 (23.08%) (range, 23 + 6-34 + 0) fetal multidynamic multiecho sequence acquisitions. The fetal brain maturity score positively correlated with gestational age at MR imaging (SyMRI: r = 0.915, P < .001/standard of reference: r = 0.966, P < .001). Myelination-related changes in the T2 relaxation time/T2 relaxation rate of the medulla oblongata significantly correlated with gestational age at MR imaging (T2-relaxation time: r = -0.739, P = .006/T2-relaxation rate: r = 0.790, P = .002). CONCLUSIONS Fetal motion limits the applicability of multidynamic multiecho-based postprocessing. However, SyMRI-generated image data of sufficient quality enable the qualitative assessment of maturity-related changes of the fetal brain. In addition, quantitative T2 relaxation time/T2 relaxation rate mapping characterizes myelin-related changes of the brain stem prenatally. This approach, if successful, opens novel possibilities for the evaluation of structural and biochemical aspects of fetal brain maturation.
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Affiliation(s)
- V U Schmidbauer
- From the Departments of Biomedical Imaging and Image-Guided Therapy (V.U.S., G.O.D., M.S.Y., M.W., M.C.D., F.P., R.-I.M., M.S., D.P. G.K)
| | - G O Dovjak
- From the Departments of Biomedical Imaging and Image-Guided Therapy (V.U.S., G.O.D., M.S.Y., M.W., M.C.D., F.P., R.-I.M., M.S., D.P. G.K)
| | - M S Yildirim
- From the Departments of Biomedical Imaging and Image-Guided Therapy (V.U.S., G.O.D., M.S.Y., M.W., M.C.D., F.P., R.-I.M., M.S., D.P. G.K)
| | | | - M Weber
- From the Departments of Biomedical Imaging and Image-Guided Therapy (V.U.S., G.O.D., M.S.Y., M.W., M.C.D., F.P., R.-I.M., M.S., D.P. G.K)
| | - M C Diogo
- From the Departments of Biomedical Imaging and Image-Guided Therapy (V.U.S., G.O.D., M.S.Y., M.W., M.C.D., F.P., R.-I.M., M.S., D.P. G.K)
| | - G M Gruber
- Department of Anatomy and Biomechanics (G.M.G.), Karl Landsteiner University of Health Sciences, Krems an der Donau, Austria
| | - F Prayer
- From the Departments of Biomedical Imaging and Image-Guided Therapy (V.U.S., G.O.D., M.S.Y., M.W., M.C.D., F.P., R.-I.M., M.S., D.P. G.K)
| | - R-I Milos
- From the Departments of Biomedical Imaging and Image-Guided Therapy (V.U.S., G.O.D., M.S.Y., M.W., M.C.D., F.P., R.-I.M., M.S., D.P. G.K)
| | - M Stuempflen
- From the Departments of Biomedical Imaging and Image-Guided Therapy (V.U.S., G.O.D., M.S.Y., M.W., M.C.D., F.P., R.-I.M., M.S., D.P. G.K)
| | - B Ulm
- Obstetrics and Gynecology (B.U., J.B., D.B., H.K.), Medical University of Vienna, Vienna, Austria
| | - J Binder
- Obstetrics and Gynecology (B.U., J.B., D.B., H.K.), Medical University of Vienna, Vienna, Austria
| | - D Bettelheim
- Obstetrics and Gynecology (B.U., J.B., D.B., H.K.), Medical University of Vienna, Vienna, Austria
| | - H Kiss
- Obstetrics and Gynecology (B.U., J.B., D.B., H.K.), Medical University of Vienna, Vienna, Austria
| | - D Prayer
- From the Departments of Biomedical Imaging and Image-Guided Therapy (V.U.S., G.O.D., M.S.Y., M.W., M.C.D., F.P., R.-I.M., M.S., D.P. G.K)
| | - G Kasprian
- From the Departments of Biomedical Imaging and Image-Guided Therapy (V.U.S., G.O.D., M.S.Y., M.W., M.C.D., F.P., R.-I.M., M.S., D.P. G.K)
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Sun T, Qu F, Yadav B, Subramanian K, Jiang L, Haacke EM, Qian Z. Estimating cerebral venous oxygenation in human fetuses with ventriculomegaly using quantitative susceptibility mapping. Magn Reson Imaging 2021; 80:21-25. [PMID: 33845161 DOI: 10.1016/j.mri.2021.04.001] [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: 12/14/2020] [Revised: 03/02/2021] [Accepted: 04/05/2021] [Indexed: 11/15/2022]
Abstract
RATIONALE AND OBJECTIVES The goal of this study was to estimate venous blood oxygen saturation (SvO2) in the superior sagittal sinus (SSS) in fetal brains with ventriculomegaly (VM) using quantitative susceptibility mapping (QSM). MATERIALS AND METHODS A radiofrequency spoiled gradient echo sequence was used to evaluate data on 19 fetuses with VM (gestational age(GA): median = 29.9 weeks (range 23 to 37.3 weeks)) and 20 healthy fetuses (GA: median = 30.9 (range 22.7 to 38.7 weeks)) at 1.5 T. Susceptibility weighted images encompassing the entire fetal brain were acquired within 1 min. An iterative, geometry constraint-based thresholded k-space division algorithm was used for generating QSM data of the fetal brain. The venous oxygen saturation was calculated using the magnetic susceptibility of the SSS obtained from the QSM data. Mixed-model analysis of variance and interobserver variability assessment were used to analyze the results. RESULTS The median SvO2 values in the entire VM cohort as well as for second and third trimester fetuses (with interquartile range) were: 67.8% (63.2%, 73.6%), 73.1% (69.1%, 77.3%) and 63.8% (59.4%, 68.1%), respectively. The corresponding median SvO2 value in the healthy control group was: 65.3% (58.3%, 68.2%), 67.5% (61.7%, 69.2%) and 60.8% (53.6%, 68.2%), respectively. However, the difference of SvO2 between VM and control groups was not significant at the p = 0.05 level (p = 0.076). The SvO2 was found decreasing significantly with GA in the healthy control group (p < 0.05). CONCLUSIONS We report for the first time the estimation of cerebral SvO2 in human fetuses with VM using QSM. This measure of oxygen saturation might be beneficial in assessing and monitoring the metabolic status of the fetus in various clinical conditions.
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Affiliation(s)
- Taotao Sun
- Department of Radiology, International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China; Department of Radiology, Shandong Medical Imaging Research Institute, Shandong University, Jinan, Shandong, China
| | - Feifei Qu
- Department of Radiology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Brijesh Yadav
- Department of Radiology, Wayne State University School of Medicine, Detroit, MI, USA; Department of Biomedical Engineering, College of Engineering, Wayne State University, Detroit, MI, USA
| | | | - Ling Jiang
- Department of Radiology, International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China
| | - E Mark Haacke
- Department of Radiology, Wayne State University School of Medicine, Detroit, MI, USA; Department of Biomedical Engineering, College of Engineering, Wayne State University, Detroit, MI, USA; The MRI Institute for Biomedical Research, Bingham Farms, MI, USA.
| | - Zhaoxia Qian
- Department of Radiology, International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China.
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