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Vanderhasselt T, Naeyaert M, Buls N, Allemeersch GJ, Raeymaeckers S, Raeymaekers H, Smeets N, Cools F, de Mey J, Dudink J. Synthetic magnetic resonance-based relaxometry and brain volume: cutoff values for predicting neurocognitive outcomes in very preterm infants. Pediatr Radiol 2024:10.1007/s00247-024-05981-x. [PMID: 38980354 DOI: 10.1007/s00247-024-05981-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 06/20/2024] [Accepted: 06/23/2024] [Indexed: 07/10/2024]
Abstract
BACKGROUND Early neurorehabilitation can enhance neurocognitive outcomes in very preterm infants (<32 weeks), and conventional magnetic resonance imaging (MRI) is commonly used to assess neonatal brain injury; however, the predictive value for neurodevelopmental delay is limited. Timely predictive quantitative biomarkers are needed to improve early identification and management of infants at risk of neurodevelopmental delay. OBJECTIVE To evaluate the potential of quantitative synthetic MRI measurements at term-equivalent age as predictive biomarkers of neurodevelopmental impairment and establish practical cutoff values to guide clinical decision-making. MATERIALS AND METHODS This retrospective study included 93 very preterm infants who underwent synthetic MRI at term-equivalent age between January 2017 and September 2020. Clinical outcomes were assessed using the Bayley-III scale of infant development (mean age 2.1 years). The predictive value for impaired development was analyzed using receiver operating characteristic curves for synthetic MRI-based volumetry and T1 and T2 relaxation measurements. RESULTS The T1 relaxation time in the posterior limb of the internal capsule was a potent predictor of severe (sensitivity, 92%; specificity, 80%; area under the curve (AUC), 0.91) and mild or severe (AUC, 0.75) developmental impairment. T2 relaxation time in the posterior limb of the internal capsule was a significant predictor of severe impairment (AUC, 0.76), whereas the brain parenchymal volume was a significant predictor of severe (AUC, 0.72) and mild or severe impairment (AUC, 0.71) outperforming the reported qualitative MRI scores (AUC, 0.66). CONCLUSION The proposed cutoff values for T1 relaxation time in the posterior limb of the internal capsule and for total brain volume measurements, derived from synthetic MRI, show promise as predictors of both mild and severe neurodevelopmental impairment in very preterm infants.
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Affiliation(s)
- Tim Vanderhasselt
- Department of Radiology, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090, Brussels, Belgium.
| | - Maarten Naeyaert
- Department of Radiology, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090, Brussels, Belgium
| | - Nico Buls
- Department of Radiology, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090, Brussels, Belgium
| | - Gert-Jan Allemeersch
- Department of Radiology, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090, Brussels, Belgium
| | - Steven Raeymaeckers
- Department of Radiology, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090, Brussels, Belgium
| | - Hubert Raeymaekers
- Department of Radiology, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090, Brussels, Belgium
| | - Nathalie Smeets
- Department of Pediatric Neurology, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Filip Cools
- Department of Neonatology, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Johan de Mey
- Department of Radiology, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090, Brussels, Belgium
| | - Jeroen Dudink
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, the Netherlands
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Xu S, Ma Z, Zhang J, Wang S, Ge X, Yue S, Li X, Qian J, Zhu D, Liu G, Zhang J. Quantitative assessment of preoperative brain development in pediatric congenital heart disease patients by synthetic MRI. Insights Imaging 2024; 15:166. [PMID: 38954290 PMCID: PMC11219600 DOI: 10.1186/s13244-024-01746-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Accepted: 06/16/2024] [Indexed: 07/04/2024] Open
Abstract
OBJECTIVES This study investigated the quantitative assessment and application of Synthetic MRI (SyMRI) for preoperative brain development in children with congenital heart disease (CHD). METHODS Forty-three CHD patients aged 2-24 months were prospectively included in the observation group, and 43 healthy infants were included in the control group. The SyMRI scans were processed by postprocessing software to obtain T1, T2, and PD maps. The values of T1, T2, and PD in different brain regions were compared with the scores of the five ability areas of the Gesell Development Scale by Pearson correlation analysis. RESULTS In the observation group, the T1 values of the posterior limb of the internal capsule (PLIC), Optic radiation (PTR), cerebral peduncle, centrum semiovale, occipital white matter, temporal white matter, and dentate nucleus were greater than those in the control group. In the observation group, the T2 values of the PLIC, PTR, frontal white matter, occipital white matter, temporal white matter, and dentate nucleus were greater than those in the control group. Pearson correlation analysis revealed that the observation group had significantly lower Development Scale scores. In the observation group, the T2 value of the splenium of the corpus callosum was significantly positively correlated with the personal social behavior score. The AUCs for diagnosing preoperative brain developmental abnormalities in children with CHD using T1 values of the temporal white matter and dentate nucleus were both greater than 0.60. CONCLUSIONS Quantitative assessment using SyMRI can aid in the early detection of preoperative brain development abnormalities in children with CHD. CRITICAL RELEVANCE STATEMENT T1 and T2 relaxation values from SyMRI can be considered as a quantitative imaging marker to detect abnormalities, allowing for early clinical evaluation and timely intervention, thereby reducing neurodevelopmental disorders in these children. KEY POINTS T1 and T2 relaxation values by SyMRI are related to myelin development. Evaluated development quotient markers were lower in the observation compared to the control group. SyMRI can act as a reference indicator for brain development in CHD children.
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Affiliation(s)
- Shengfang Xu
- Second Clinical School, Lanzhou University, Lanzhou, Gansu, China
- Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, Gansu, China
- Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou, Gansu, China
- Medical Imaging Center, Gansu Provincial Maternity and Child-Care Hospital, Lanzhou, Gansu, China
| | - Zihan Ma
- Medical Imaging Center, Gansu Provincial Maternity and Child-Care Hospital, Lanzhou, Gansu, China
| | - Jinlong Zhang
- Pulmonary and Critical Care Medicine, The 940th Hospital of the Joint Logistic Support Force of the People's Liberation Army, Lanzhou, Gansu, China
| | - Shaoyu Wang
- MR Research Collaboration, Siemens Healthineers, Shanghai, China
| | - Xin Ge
- Second Clinical School, Lanzhou University, Lanzhou, Gansu, China
- Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, Gansu, China
- Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou, Gansu, China
| | - Songhong Yue
- Second Clinical School, Lanzhou University, Lanzhou, Gansu, China
- Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, Gansu, China
- Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou, Gansu, China
| | - Xinyi Li
- Medical Imaging Center, Gansu Provincial Maternity and Child-Care Hospital, Lanzhou, Gansu, China
| | - Jifang Qian
- Medical Imaging Center, Gansu Provincial Maternity and Child-Care Hospital, Lanzhou, Gansu, China
| | - Dalin Zhu
- Medical Imaging Center, Gansu Provincial Maternity and Child-Care Hospital, Lanzhou, Gansu, China
| | - Guangyao Liu
- Second Clinical School, Lanzhou University, Lanzhou, Gansu, China
- Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, Gansu, China
- Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou, Gansu, China
| | - Jing Zhang
- Second Clinical School, Lanzhou University, Lanzhou, Gansu, China.
- Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, Gansu, China.
- Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou, Gansu, China.
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Kienast P, Schmidbauer V, Yildirim MS, Seeliger S, Stuempflen M, Elis J, Giordano V, Fuiko R, Olischar M, Vierlinger K, Noehammer C, Berger A, Prayer D, Kasprian G, Goeral K. Neurodevelopmental outcome in preterm infants with intraventricular hemorrhages: the potential of quantitative brainstem MRI. Cereb Cortex 2024; 34:bhae189. [PMID: 38715405 PMCID: PMC11077078 DOI: 10.1093/cercor/bhae189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 04/16/2024] [Accepted: 04/19/2024] [Indexed: 05/12/2024] Open
Abstract
OBJECTIVES This retrospective study aimed to identify quantitative magnetic resonance imaging markers in the brainstem of preterm neonates with intraventricular hemorrhages. It delves into the intricate associations between quantitative brainstem magnetic resonance imaging metrics and neurodevelopmental outcomes in preterm infants with intraventricular hemorrhage, aiming to elucidate potential relationships and their clinical implications. MATERIALS AND METHODS Neuroimaging was performed on preterm neonates with intraventricular hemorrhage using a multi-dynamic multi-echo sequence to determine T1 relaxation time, T2 relaxation time, and proton density in specific brainstem regions. Neonatal outcome scores were collected using the Bayley Scales of Infant and Toddler Development. Statistical analysis aimed to explore potential correlations between magnetic resonance imaging metrics and neurodevelopmental outcomes. RESULTS Sixty preterm neonates (mean gestational age at birth 26.26 ± 2.69 wk; n = 24 [40%] females) were included. The T2 relaxation time of the midbrain exhibited significant positive correlations with cognitive (r = 0.538, P < 0.0001, Pearson's correlation), motor (r = 0.530, P < 0.0001), and language (r = 0.449, P = 0.0008) composite scores at 1 yr of age. CONCLUSION Quantitative magnetic resonance imaging can provide valuable insights into neurodevelopmental outcomes after intraventricular hemorrhage, potentially aiding in identifying at-risk neonates. Multi-dynamic multi-echo sequence sequences hold promise as an adjunct to conventional sequences, enhancing the sensitivity of neonatal magnetic resonance neuroimaging and supporting clinical decision-making for these vulnerable patients.
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Affiliation(s)
- Patric Kienast
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria
| | - Victor Schmidbauer
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria
| | - Mehmet Salih Yildirim
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria
| | - Selina Seeliger
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria
| | - Marlene Stuempflen
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria
| | - Julia Elis
- Department of Pediatrics and Adolescent Medicine, Division of Neonatology, Pediatric Intensive Care and Neuropediatrics, Comprehensive Center for Pediatrics, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria
| | - Vito Giordano
- Department of Pediatrics and Adolescent Medicine, Division of Neonatology, Pediatric Intensive Care and Neuropediatrics, Comprehensive Center for Pediatrics, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria
| | - Renate Fuiko
- Department of Pediatrics and Adolescent Medicine, Division of Neonatology, Pediatric Intensive Care and Neuropediatrics, Comprehensive Center for Pediatrics, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria
| | - Monika Olischar
- Department of Pediatrics and Adolescent Medicine, Division of Neonatology, Pediatric Intensive Care and Neuropediatrics, Comprehensive Center for Pediatrics, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria
| | - Klemens Vierlinger
- Center for Health and Bioresources, Molecular Diagnostics, AIT Austrian Institute of Technology GmbH, Giefinggasse 4, 1210 Vienna, Austria
| | - Christa Noehammer
- Center for Health and Bioresources, Molecular Diagnostics, AIT Austrian Institute of Technology GmbH, Giefinggasse 4, 1210 Vienna, Austria
| | - Angelika Berger
- Department of Pediatrics and Adolescent Medicine, Division of Neonatology, Pediatric Intensive Care and Neuropediatrics, Comprehensive Center for Pediatrics, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria
| | - Daniela Prayer
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria
| | - Gregor Kasprian
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria
| | - Katharina Goeral
- Department of Pediatrics and Adolescent Medicine, Division of Neonatology, Pediatric Intensive Care and Neuropediatrics, Comprehensive Center for Pediatrics, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria
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Ge X, Ma Y, Huang X, Gan T, Ma W, Liu G, Xiong Y, Li M, Wang X, Zhang J. Distinguishment between high-grade gliomas and solitary brain metastases in peritumoural oedema: quantitative analysis using synthetic MRI at 3 T. Clin Radiol 2024; 79:e361-e368. [PMID: 38103981 DOI: 10.1016/j.crad.2023.10.026] [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: 03/10/2023] [Revised: 09/12/2023] [Accepted: 10/21/2023] [Indexed: 12/19/2023]
Abstract
AIM To investigate the efficacy of synthetic magnetic resonance imaging (MRI) in distinguishing high-grade gliomas (HGGs) from solitary brain metastases (SBMs) in peritumoural oedema. MATERIALS AND METHODS Thirty-five patients with HGGs and 25 patients with SBMs were recruited and scanned using synthetic MRI using a 3 T scanner. Two radiologists measured synthetic MRI-derived relaxation values independently (T1, T2, proton density [PD]) in the peritumoural oedema, which was used to generate quantitative metrics before (T1native, T2native, and PDnative) and after (T1post, T2post, and PDpost) contrast agent injection. Student's t-test or the Mann-Whitney U-test was performed to detect statistically significant differences in the aforementioned metrics in peritumoural oedema between HGGs and SBMs. The receiver operating characteristic (ROC) curves were plotted to evaluate the efficacy of each metric in distinguishing the two groups, and the areas under the curves (AUCs) were compared pairwise by performing the Delong test. RESULTS The mean T1native, T2native, and T1post values in the peritumoural oedema of HGGs were significantly lower compared with SBMs (all p<0.05). The T1post value had a higher AUC (0.843) in differentiating HGGs and SBMs than all other individual metrics (all p<0.05). The combined T1native, T2native, and T1post model had the best distinguishing performance with an AUC, sensitivity, and specificity of 0.987, 94.3%, and 100%, respectively. CONCLUSIONS Synthetic MRI may be a potential supplement to the preoperative diagnosis of HGGs and SBMs in clinical practice, as the synthetic MRI-derived tri-parametric model in the peritumoural oedema showed significantly improved diagnostic performance in distinguishing HGGs from SBMs.
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Affiliation(s)
- X Ge
- Second Clinical School, Lanzhou University, Lanzhou 70030, China; Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou 70030, China; Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou 730030, China
| | - Y Ma
- Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou 70030, China; Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou 730030, China
| | - X Huang
- Department of Radiology, General Hospital of Ningxia Medical University, Yinchuan 750003, China
| | - T Gan
- Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou 70030, China; Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou 730030, China
| | - W Ma
- School of Clinical Medicine, Ningxia Medical University, Yinchuan 750004, China
| | - G Liu
- Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou 70030, China; Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou 730030, China
| | - Y Xiong
- GE Healthcare, MR Research, Beijing 100004, China
| | - M Li
- GE Healthcare, MR Enhancement Application, Beijing 100004, China
| | - X Wang
- Department of Radiology, General Hospital of Ningxia Medical University, Yinchuan 750003, China.
| | - J Zhang
- Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou 70030, China; Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou 730030, China.
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Zheng Z, Liu Y, Yin H, Ren P, Zhang T, Yang J, Wang Z. Evaluating T1, T2 Relaxation, and Proton Density in Normal Brain Using Synthetic MRI with Fast Imaging Protocol. Magn Reson Med Sci 2023:tn.2022-0161. [PMID: 37690836 DOI: 10.2463/mrms.tn.2022-0161] [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: 09/12/2023] Open
Abstract
Synthetic MRI is being increasingly used for the quantification of brain longitudinal relaxation time (T1), transverse relaxation time (T2), and proton density (PD) values. However, the effect of fast imaging protocols on these quantitative values has not been fully estimated. The purpose of this study was to investigate the effect of fast scan parameters on T1, T2, and PD measured with a multi-dynamic multi-echo (MDME) sequence of normal brain at 3.0T. Thirty-four volunteers were scanned using 3 MDME sequences with different scan times (named Fast, 2 min, 29 sec; Routine, 4 min, 07 sec; and Research, 7 min, 46 sec, respectively). The measured T1, T2, and PD in 18 volumes of interest (VOI) of brain were compared between the 3 sequences using rank sum test, t test, coefficients of variation (CVs) analysis, correlation analysis, and Bland-Altman analysis. We found that even though T1, T2, and PD were significantly different between the 3 sequences in most of the brain regions, the intersequence CVs were relatively low and linear correlation were high. Bland-Altman plots showed that most of the values fall within the 95% prediction limits. We concluded that fast imaging protocols of MDME sequence used in our study can potentially be used for quantitative evaluation of brain tissues. Since changing scan parameters can affect the measured T1, T2, and PD values, it is necessary to use consistent scan parameter for comparing or following up cases quantitatively.
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Affiliation(s)
- Zuofeng Zheng
- Department of Radiology, Beijing ChuiYangLiu Hospital
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University
| | - Yawen Liu
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University
- School of Biological Science and Medical Engineering, Beihang University
| | - Hongxia Yin
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University
| | - Pengling Ren
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University
| | - Tingting Zhang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University
- School of Biological Science and Medical Engineering, Beihang University
| | - Jiafei Yang
- Department of Radiology, Beijing ChuiYangLiu Hospital
| | - Zhenchang Wang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University
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Schmidbauer VU, Yildirim MS, Dovjak GO, Weber M, Diogo MC, Milos RI, Giordano V, Prayer F, Stuempflen M, Goeral K, Buchmayer J, Klebermass-Schrehof K, Berger A, Prayer D, Kasprian G. Synthetic MR Imaging-Based WM Signal Suppression Identifies Neonatal Brainstem Pathways in Vivo. AJNR Am J Neuroradiol 2022; 43:1817-1823. [PMID: 36396336 DOI: 10.3174/ajnr.a7710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 10/14/2022] [Indexed: 11/18/2022]
Abstract
BACKGROUND AND PURPOSE Multidynamic multiecho sequence-based imaging enables investigators to reconstruct multiple MR imaging contrasts on the basis of a single scan. This study investigated the feasibility of synthetic MRI-based WM signal suppression (syWMSS), a synthetic inversion recovery approach in which a short TI suppresses myelin-related signals, for the identification of early myelinating brainstem pathways. MATERIALS AND METHODS Thirty-one cases of neonatal MR imaging, which included multidynamic multiecho data and conventionally acquired T1- and T2-weighted sequences, were analyzed. The multidynamic multiecho postprocessing software SyMRI was used to generate syWMSS data (TR/TE/TI = 3000/5/410 ms). Two raters discriminated early myelinating brainstem pathways (decussation of the superior cerebellar peduncle, medial lemniscus, central tegmental tract, and medial longitudinal fascicle [the latter 3 assessed at the level of the pons]) on syWMSS data and reference standard contrasts. RESULTS On the basis of syWMSS data, the decussation of the superior cerebellar peduncle (31/31); left/right medial lemniscus (31/31; 30/31); left/right central tegmental tract (19/31; 20/31); and left/right medial longitudinal fascicle (30/31) were reliably identified by both raters. On the basis of T1-weighted contrasts, the decussation of the superior cerebellar peduncle (14/31); left/right medial lemniscus (22/31; 16/31); left/right central tegmental tract (1/31); and left/right medial longitudinal fascicle (9/31; 8/31) were reliably identified by both raters. On the basis of T2-weighted contrasts, the decussation of the superior cerebellar peduncle (28/31); left/right medial lemniscus (16/31; 12/31); left/right central tegmental tract (23/31; 18/31); and left/right medial longitudinal fascicle (15/31; 14/31) were reliably identified by both raters. CONCLUSIONS syWMSS data provide a feasible imaging technique with which to study early myelinating brainstem pathways. MR imaging approaches that use myelin signal suppression contribute to a more sensitive assessment of myelination patterns at early stages of cerebral development.
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Affiliation(s)
- V U Schmidbauer
- From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., M.S.Y., G.O.D., M.W., R.-I.M., F.P., M.S., D.P., G.K.)
| | - M S Yildirim
- From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., M.S.Y., G.O.D., M.W., R.-I.M., F.P., M.S., D.P., G.K.)
| | - G O Dovjak
- From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., M.S.Y., G.O.D., M.W., R.-I.M., F.P., M.S., D.P., G.K.)
| | - M Weber
- From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., M.S.Y., G.O.D., M.W., R.-I.M., F.P., M.S., D.P., G.K.)
| | - M C Diogo
- Department of Neuroradiology (M.C.D.), Hospital Garcia de Orta, Almada, Portugal
| | - R-I Milos
- From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., M.S.Y., G.O.D., M.W., R.-I.M., F.P., M.S., D.P., G.K.)
| | - V Giordano
- Comprehensive Center for Pediatrics (V.G., K.G., J.B., K.K.-S., A.B.), Department of Pediatrics and Adolescent Medicine, Division of Neonatology, Pediatric Intensive Care and Neuropediatrics, Medical University of Vienna, Vienna, Austria
| | - F Prayer
- From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., M.S.Y., G.O.D., M.W., R.-I.M., F.P., M.S., D.P., G.K.)
| | - M Stuempflen
- From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., M.S.Y., G.O.D., M.W., R.-I.M., F.P., M.S., D.P., G.K.)
| | - K Goeral
- Comprehensive Center for Pediatrics (V.G., K.G., J.B., K.K.-S., A.B.), Department of Pediatrics and Adolescent Medicine, Division of Neonatology, Pediatric Intensive Care and Neuropediatrics, Medical University of Vienna, Vienna, Austria
| | - J Buchmayer
- Comprehensive Center for Pediatrics (V.G., K.G., J.B., K.K.-S., A.B.), Department of Pediatrics and Adolescent Medicine, Division of Neonatology, Pediatric Intensive Care and Neuropediatrics, Medical University of Vienna, Vienna, Austria
| | - K Klebermass-Schrehof
- Comprehensive Center for Pediatrics (V.G., K.G., J.B., K.K.-S., A.B.), Department of Pediatrics and Adolescent Medicine, Division of Neonatology, Pediatric Intensive Care and Neuropediatrics, Medical University of Vienna, Vienna, Austria
| | - A Berger
- Comprehensive Center for Pediatrics (V.G., K.G., J.B., K.K.-S., A.B.), Department of Pediatrics and Adolescent Medicine, Division of Neonatology, Pediatric Intensive Care and Neuropediatrics, Medical University of Vienna, Vienna, Austria
| | - D Prayer
- From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., M.S.Y., G.O.D., M.W., R.-I.M., F.P., M.S., D.P., G.K.)
| | - G Kasprian
- From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., M.S.Y., G.O.D., M.W., R.-I.M., F.P., M.S., D.P., G.K.)
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7
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Schmidbauer VU, Yildirim MS, Dovjak GO, Goeral K, Buchmayer J, Weber M, Diogo MC, Giordano V, Mayr-Geisl G, Prayer F, Stuempflen M, Lindenlaub F, List V, Glatter S, Rauscher A, Stuhr F, Lindner C, Klebermass-Schrehof K, Berger A, Prayer D, Kasprian G. Different from the Beginning: WM Maturity of Female and Male Extremely Preterm Neonates-A Quantitative MRI Study. AJNR Am J Neuroradiol 2022; 43:611-619. [PMID: 35332014 PMCID: PMC8993206 DOI: 10.3174/ajnr.a7472] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Accepted: 01/25/2022] [Indexed: 12/31/2022]
Abstract
BACKGROUND AND PURPOSE Former preterm born males are at higher risk for neurodevelopmental disabilities compared with female infants born at the same gestational age. This retrospective study investigated sex-related differences in the maturity of early myelinating brain regions in infants born <28 weeks' gestational age using diffusion tensor- and relaxometry-based MR imaging. MATERIALS AND METHODS Quantitative MR imaging sequence acquisitions were analyzed in a sample of 35 extremely preterm neonates imaged at term-equivalent ages. Quantitative MR imaging metrics (fractional anisotropy; ADC [10-3mm2/s]; and T1-/T2-relaxation times [ms]) of the medulla oblongata, pontine tegmentum, midbrain, and the right/left posterior limbs of the internal capsule were determined on diffusion tensor- and multidynamic, multiecho sequence-based imaging data. ANCOVA and a paired t test were used to compare female and male infants and to detect hemispheric developmental asymmetries. RESULTS Seventeen female (mean gestational age at birth: 26 + 0 [SD, 1 + 4] weeks+days) and 18 male (mean gestational age at birth: 26 + 1 [SD, 1 + 3] weeks+days) infants were enrolled in this study. Significant differences were observed in the T2-relaxation time (P = .014) of the pontine tegmentum, T1-relaxation time (P = .011)/T2-relaxation time (P = .024) of the midbrain, and T1-relaxation time (P = .032) of the left posterior limb of the internal capsule. In both sexes, fractional anisotropy (P [♀] < .001/P [♂] < .001) and ADC (P [♀] = .017/P [♂] = .028) differed significantly between the right and left posterior limbs of the internal capsule. CONCLUSIONS The combined use of various quantitative MR imaging metrics detects sex-related and interhemispheric differences of WM maturity. The brainstem and the left posterior limb of the internal capsule of male preterm neonates are more immature compared with those of female infants at term-equivalent ages. Sex differences in WM maturation need further attention for the personalization of neonatal brain imaging.
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Affiliation(s)
- V U Schmidbauer
- From the Department of Biomedical Imaging and Image-guided Therapy (V.U.S., M.S.Y., G.O.D., M.W., F.P., M.S., F.L., F.S., C.L., D.P., G.K.)
| | - M S Yildirim
- From the Department of Biomedical Imaging and Image-guided Therapy (V.U.S., M.S.Y., G.O.D., M.W., F.P., M.S., F.L., F.S., C.L., D.P., G.K.)
| | - G O Dovjak
- From the Department of Biomedical Imaging and Image-guided Therapy (V.U.S., M.S.Y., G.O.D., M.W., F.P., M.S., F.L., F.S., C.L., D.P., G.K.)
| | - K Goeral
- Comprehensive Center for Pediatrics (K.G., J.B., V.G., V.L., S.G., K.K.-S., A.B.), Department of Pediatrics and Adolescent Medicine, Division of Neonatology, Pediatric Intensive Care and Neuropediatrics
| | - J Buchmayer
- Comprehensive Center for Pediatrics (K.G., J.B., V.G., V.L., S.G., K.K.-S., A.B.), Department of Pediatrics and Adolescent Medicine, Division of Neonatology, Pediatric Intensive Care and Neuropediatrics
| | - M Weber
- From the Department of Biomedical Imaging and Image-guided Therapy (V.U.S., M.S.Y., G.O.D., M.W., F.P., M.S., F.L., F.S., C.L., D.P., G.K.)
| | - M C Diogo
- Department of Neuroradiology (M.C.D.), Hospital Garcia de Orta, Almada, Portugal
| | - V Giordano
- Comprehensive Center for Pediatrics (K.G., J.B., V.G., V.L., S.G., K.K.-S., A.B.), Department of Pediatrics and Adolescent Medicine, Division of Neonatology, Pediatric Intensive Care and Neuropediatrics
| | - G Mayr-Geisl
- Department of Neurosurgery (G.M.-G.), Medical University of Vienna, Vienna, Austria
| | - F Prayer
- From the Department of Biomedical Imaging and Image-guided Therapy (V.U.S., M.S.Y., G.O.D., M.W., F.P., M.S., F.L., F.S., C.L., D.P., G.K.)
| | - M Stuempflen
- From the Department of Biomedical Imaging and Image-guided Therapy (V.U.S., M.S.Y., G.O.D., M.W., F.P., M.S., F.L., F.S., C.L., D.P., G.K.)
| | - F Lindenlaub
- From the Department of Biomedical Imaging and Image-guided Therapy (V.U.S., M.S.Y., G.O.D., M.W., F.P., M.S., F.L., F.S., C.L., D.P., G.K.)
| | - V List
- Comprehensive Center for Pediatrics (K.G., J.B., V.G., V.L., S.G., K.K.-S., A.B.), Department of Pediatrics and Adolescent Medicine, Division of Neonatology, Pediatric Intensive Care and Neuropediatrics
| | - S Glatter
- Comprehensive Center for Pediatrics (K.G., J.B., V.G., V.L., S.G., K.K.-S., A.B.), Department of Pediatrics and Adolescent Medicine, Division of Neonatology, Pediatric Intensive Care and Neuropediatrics
| | - A Rauscher
- Department of Pediatrics (A.R.), University of British Columbia, Vancouver, British Columbia, Canada
| | - F Stuhr
- From the Department of Biomedical Imaging and Image-guided Therapy (V.U.S., M.S.Y., G.O.D., M.W., F.P., M.S., F.L., F.S., C.L., D.P., G.K.)
| | - C Lindner
- From the Department of Biomedical Imaging and Image-guided Therapy (V.U.S., M.S.Y., G.O.D., M.W., F.P., M.S., F.L., F.S., C.L., D.P., G.K.)
| | - K Klebermass-Schrehof
- Comprehensive Center for Pediatrics (K.G., J.B., V.G., V.L., S.G., K.K.-S., A.B.), Department of Pediatrics and Adolescent Medicine, Division of Neonatology, Pediatric Intensive Care and Neuropediatrics
| | - A Berger
- Comprehensive Center for Pediatrics (K.G., J.B., V.G., V.L., S.G., K.K.-S., A.B.), Department of Pediatrics and Adolescent Medicine, Division of Neonatology, Pediatric Intensive Care and Neuropediatrics
| | - D Prayer
- From the Department of Biomedical Imaging and Image-guided Therapy (V.U.S., M.S.Y., G.O.D., M.W., F.P., M.S., F.L., F.S., C.L., D.P., G.K.)
| | - G Kasprian
- From the Department of Biomedical Imaging and Image-guided Therapy (V.U.S., M.S.Y., G.O.D., M.W., F.P., M.S., F.L., F.S., C.L., D.P., G.K.)
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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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9
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Schmidbauer V, Dovjak G, Geisl G, Weber M, Diogo MC, Yildirim MS, Goeral K, Klebermass-Schrehof K, Berger A, Prayer D, Kasprian G. Impact of Prematurity on the Tissue Properties of the Neonatal Brain Stem: A Quantitative MR Approach. AJNR Am J Neuroradiol 2021; 42:581-589. [PMID: 33478940 DOI: 10.3174/ajnr.a6945] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2020] [Accepted: 10/14/2020] [Indexed: 12/26/2022]
Abstract
BACKGROUND AND PURPOSE Preterm birth interferes with regular brain development. The aim of this study was to investigate the impact of prematurity on the physical tissue properties of the neonatal brain stem using a quantitative MR imaging approach. MATERIALS AND METHODS A total of 55 neonates (extremely preterm [n = 30]: <28 + 0 weeks gestational age; preterm [n = 10]: 28 + 0-36 + 6 weeks gestational age; term [n = 15]: ≥37 + 0 weeks gestational age) were included in this retrospective study. In most cases, imaging was performed at approximately term-equivalent age using a standard MR protocol. MR data postprocessing software SyMRI was used to perform multidynamic multiecho sequence (acquisition time: 5 minutes, 24 seconds)-based MR postprocessing to determine T1 relaxation time, T2 relaxation time, and proton density. Mixed-model ANCOVA (covariate: gestational age at MR imaging) and the post hoc Bonferroni test were used to compare the groups. RESULTS There were significant differences between premature and term infants for T1 relaxation time (midbrain: P < .001; pons: P < .001; basis pontis: P = .005; tegmentum pontis: P < .001; medulla oblongata: P < .001), T2 relaxation time (midbrain: P < .001; tegmentum pontis: P < .001), and proton density (tegmentum pontis: P = .004). The post hoc Bonferroni test revealed that T1 relaxation time/T2 relaxation time in the midbrain differed significantly between extremely preterm and preterm (T1 relaxation time: P < .001/T2 relaxation time: P = .02), extremely preterm and term (T1 relaxation time/T2 relaxation time: P < .001), and preterm and term infants (T1 relaxation time: P < .001/T2 relaxation time: P = .006). CONCLUSIONS Quantitative MR parameters allow preterm and term neonates to be differentiated. T1 and T2 relaxation time metrics of the midbrain allow differentiation between the different stages of prematurity. SyMRI allows for a quantitative assessment of incomplete brain maturation by providing tissue-specific properties while not exceeding a clinically acceptable imaging time.
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Affiliation(s)
- V Schmidbauer
- Department of Biomedical Imaging and Image-Guided Therapy (V.S., G.D., G.G., M.W., M.C.D., M.S.Y., D.P., G.K.)
| | - G Dovjak
- Department of Biomedical Imaging and Image-Guided Therapy (V.S., G.D., G.G., M.W., M.C.D., M.S.Y., D.P., G.K.)
| | - G Geisl
- Department of Biomedical Imaging and Image-Guided Therapy (V.S., G.D., G.G., M.W., M.C.D., M.S.Y., D.P., G.K.)
| | - M Weber
- Department of Biomedical Imaging and Image-Guided Therapy (V.S., G.D., G.G., M.W., M.C.D., M.S.Y., D.P., G.K.)
| | - M C Diogo
- Department of Biomedical Imaging and Image-Guided Therapy (V.S., G.D., G.G., M.W., M.C.D., M.S.Y., D.P., G.K.)
| | - M S Yildirim
- Department of Biomedical Imaging and Image-Guided Therapy (V.S., G.D., G.G., M.W., M.C.D., M.S.Y., D.P., G.K.)
| | - K Goeral
- Division of Neonatology, Pediatric Intensive Care and Neuropediatrics (K.G., K.K.-S., A.B.), Comprehensive Center for Pediatrics, Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Vienna, Austria
| | - K Klebermass-Schrehof
- Division of Neonatology, Pediatric Intensive Care and Neuropediatrics (K.G., K.K.-S., A.B.), Comprehensive Center for Pediatrics, Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Vienna, Austria
| | - A Berger
- Division of Neonatology, Pediatric Intensive Care and Neuropediatrics (K.G., K.K.-S., A.B.), Comprehensive Center for Pediatrics, Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Vienna, Austria
| | - D Prayer
- Department of Biomedical Imaging and Image-Guided Therapy (V.S., G.D., G.G., M.W., M.C.D., M.S.Y., D.P., G.K.)
| | - G Kasprian
- Department of Biomedical Imaging and Image-Guided Therapy (V.S., G.D., G.G., M.W., M.C.D., M.S.Y., D.P., G.K.)
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Vanderhasselt T, Zolfaghari R, Naeyaert M, Dudink J, Buls N, Allemeersch GJ, Raeymaekers H, Cools F, de Mey J. Synthetic MRI demonstrates prolonged regional relaxation times in the brain of preterm born neonates with severe postnatal morbidity. NEUROIMAGE-CLINICAL 2020; 29:102544. [PMID: 33385883 PMCID: PMC7786121 DOI: 10.1016/j.nicl.2020.102544] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 11/13/2020] [Accepted: 12/20/2020] [Indexed: 11/25/2022]
Abstract
BACKGROUND To identify preterm infants at risk for neurodevelopment impairment that might benefit from early neurorehabilitation, early prognostic biomarkers of future outcomes are needed. OBJECTIVE To determine whether synthetic MRI is sensitive to age-related changes in regional tissue relaxation times in the brain of preterm born neonates when scanned at term equivalent age (TEA, 37-42 weeks), and to investigate whether severe postnatal morbidity results in prolonged regional tissue relaxation times. MATERIALS AND METHODS This retrospective study included 70 very preterm born infants scanned with conventional and synthetic MRI between January 2017 and June 2019 at TEA. Infants with severe postnatal morbidity were allocated to a high-risk group (n = 22). All other neonates were allocated to a low-risk group (n = 48). Linear regression analysis was performed to determine the relationship between relaxation times and postmenstrual age (PMA) at scan. Analysis of covariance was used to evaluate the impact of severe postnatal morbidity in the high-risk group on T1 and T2 relaxation times. Receiver operating characteristic (ROC) curves were plotted and analysed with area under the ROC curve (AUC) to evaluate the accuracy of classifying high-risk patients based on regional relaxation times. RESULTS A linear age-related decrease of T1 and T2 relaxation times correlating with PMA at scan (between 37 and 42 weeks) was found in the deep gray matter, the cerebellum, the cortex, and the posterior limb of the internal capsule (PLIC) (p < .005 each), but not in the global, frontal, parietal, or central white matter. Analysis of covariance for both risk groups, adjusted for PMA, revealed significantly prolonged regional tissue relaxation times in neonates with severe postnatal morbidity, which was best illustrated in the central white matter of the centrum semiovale (T1 Δ = 11.5%, T2 Δ = 13.4%, p < .001) and in the PLIC (T1 Δ = 9.2%, T2 Δ = 6.9%, p < .001). The relaxation times in the PLIC and the central white matter predicted high-risk status with excellent accuracy (AUC range 0.82-0.86). CONCLUSION Synthetic MRI-based relaxometry in the brain of preterm born neonates is sensitive to age-related maturational changes close to TEA. Severe postnatal morbidity correlated with a significant delay in tissue relaxation. Synthetic MRI may provide early prognostic biomarkers for neurodevelopment impairment.
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Affiliation(s)
- Tim Vanderhasselt
- Department of Radiology, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Brussels, Belgium.
| | - Roya Zolfaghari
- Department of Radiology, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Maarten Naeyaert
- Department of Radiology, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Jeroen Dudink
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands; Brain Center University Medical Center Utrecht, Utrecht, The Netherlands
| | - Nico Buls
- Department of Radiology, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Gert-Jan Allemeersch
- Department of Radiology, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Hubert Raeymaekers
- Department of Radiology, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Filip Cools
- Department of Neonatology, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Johan de Mey
- Department of Radiology, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Brussels, Belgium
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