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Yazici I, Krieger B, Bellenberg B, Ladopoulos T, Gold R, Schneider R, Lukas C. Automatic estimation of brain parenchymal fraction in patients with multple sclerosis: a comparison between synthetic MRI and an established automated brain segmentation software based on FSL. Neuroradiology 2024; 66:193-205. [PMID: 38110539 PMCID: PMC10805841 DOI: 10.1007/s00234-023-03264-0] [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: 05/16/2023] [Accepted: 12/04/2023] [Indexed: 12/20/2023]
Abstract
PURPOSE We aimed to validate the estimation of the brain parenchymal fraction (BPF) in patients with multiple sclerosis (MS) using synthetic magnetic resonance imaging (SyMRI) by comparison with software tools of the FMRIB Software Library (FSL). In addition to a cross-sectional method comparison, longitudinal volume changes were assessed to further elucidate the suitability of SyMRI for quantification of disease-specific changes. METHODS MRI data from 216 patients with MS and 28 control participants were included for volume estimation by SyMRI and FSL-SIENAX. Moreover, longitudinal data from 35 patients with MS were used to compare registration-based percentage brain volume changes estimated using FSL-SIENA to difference-based calculations of volume changes using SyMRI. RESULTS We observed strong correlations of estimated brain volumes between the two methods. While SyMRI overestimated grey matter and BPF compared to FSL-SIENAX, indicating a systematic bias, there was excellent agreement according to intra-class correlation coefficients for grey matter and good agreement for BPF and white matter. Bland-Altman plots suggested that the inter-method differences in BPF were smaller in patients with brain atrophy compared to those without atrophy. Longitudinal analyses revealed a tendency for higher atrophy rates for SyMRI than for SIENA, but SyMRI had a robust correlation and a good agreement with SIENA. CONCLUSION In summary, BPF based on data from SyMRI and FSL-SIENAX is not directly transferable because an overestimation and higher variability of SyMRI values were observed. However, the consistency and correlations between the two methods were satisfactory, and SyMRI was suitable to quantify disease-specific atrophy in MS.
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Affiliation(s)
- Ilyas Yazici
- Institute of Neuroradiology, St. Josef Hospital, Ruhr-University Bochum, Gudrunstrasse 56, 44791, Bochum, Germany
| | - Britta Krieger
- Institute of Neuroradiology, St. Josef Hospital, Ruhr-University Bochum, Gudrunstrasse 56, 44791, Bochum, Germany
| | - Barbara Bellenberg
- Institute of Neuroradiology, St. Josef Hospital, Ruhr-University Bochum, Gudrunstrasse 56, 44791, Bochum, Germany
| | - Theodoros Ladopoulos
- Department of Neurology, St. Josef Hospital, Ruhr-University Bochum, Gudrunstr. 56, 44791, Bochum, Germany
| | - Ralf Gold
- Department of Neurology, St. Josef Hospital, Ruhr-University Bochum, Gudrunstr. 56, 44791, Bochum, Germany
| | - Ruth Schneider
- Department of Neurology, St. Josef Hospital, Ruhr-University Bochum, Gudrunstr. 56, 44791, Bochum, Germany
| | - Carsten Lukas
- Institute of Neuroradiology, St. Josef Hospital, Ruhr-University Bochum, Gudrunstrasse 56, 44791, Bochum, Germany.
- Department of Neurology, St. Josef Hospital, Ruhr-University Bochum, Gudrunstr. 56, 44791, Bochum, Germany.
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Syed Nasser N, Venugopal VK, Veenstra C, Johansson P, Rajan S, Mahajan K, Naik S, Masand R, Yadav P, Khanduri S, Singhal S, Bhargava R, Kabra U, Gupta S, Saggar K, Varaprasad B, Aggrawal K, Rao A, K S M, Dakhole A, Kelkar A, Benjamin G, Sodani V, Goyal P, Mahajan H. Age-stratified Assessment of Brain Volumetric Segmentation on the Indian Population Using Quantitative Magnetic Resonance Imaging. Clin Neuroradiol 2024:10.1007/s00062-023-01374-z. [PMID: 38253891 DOI: 10.1007/s00062-023-01374-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Accepted: 12/16/2023] [Indexed: 01/24/2024]
Abstract
BACKGROUND AND PURPOSE Automated methods for quantifying brain tissue volumes have gained clinical interest for their objective assessment of neurological diseases. This study aimed to establish reference curves for brain volumes and fractions in the Indian population using Synthetic MRI (SyMRI), a quantitative imaging technique providing multiple contrast-weighted images through fast postprocessing. METHODS The study included a cohort of 314 healthy individuals aged 15-65 years from multiple hospitals/centers across India. The SyMRI-quantified brain volumes and fractions, including brain parenchymal fraction (BPF), gray matter fraction (GMF), white matter fraction (WMF), and myelin. RESULTS Normative age-stratified quantification curves were created based on the obtained data. The results showed significant differences in brain volumes between the sexes, but not after normalization by intracranial volume. CONCLUSION The findings provide normative data for the Indian population and can be used for comparative analysis of brain structure values. Furthermore, our data indicate that the use of fractions rather than absolute volumes in normative curves, such as BPF, GMF, and WMF, can mitigate sex and population differences as they account for individual differences in head size or brain volume.
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Affiliation(s)
| | | | | | | | | | | | - Swati Naik
- Batra Hospital & Medical Research Centre, New Delhi, India
| | | | - Pratiksha Yadav
- Dr. D. Y. Patil Medical College, Hospital and Research Centre, Pune, India
| | | | | | | | | | | | - Kavita Saggar
- Dayanand Medical College & Hospital, Ludhiana, India
| | | | | | | | - Manoj K S
- Metro Scans and Laboratory, Thiruvananthapuram, India
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Libell JL, Lakhani DA, Balar AB, Khan M, Carpenter JS, Joseph JT. Guanidinoacetate N-methyltransferase deficiency: Case report and brief review of the literature. Radiol Case Rep 2023; 18:4331-4337. [PMID: 37808418 PMCID: PMC10550807 DOI: 10.1016/j.radcr.2023.09.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 08/29/2023] [Accepted: 09/05/2023] [Indexed: 10/10/2023] Open
Abstract
Guanidinoacetate N-methyltransferase (GAMT) deficiency is a rare autosomal recessive disorder characterized by a decrease in creatine synthesis, resulting in cerebral creatine deficiency syndrome (CCDS). GAMT deficiency is caused by mutations in the GAMT gene located on chromosome 19, which impairs the conversion of guanidinoacetic acid (GAA) to creatine. The resulting accumulation of the toxic metabolite GAA and the lack of creatine lead to various symptoms, including global developmental delays, behavioral issues, and epilepsy. The gold standard for diagnosis of GAMT deficiency is genetic testing. Treatment options for GAMT deficiency include creatine supplementation, ornithine supplementation, arginine restriction, and sodium benzoate supplementation. These treatment options have been shown to improve movement disorders and epileptic symptoms, but their impact on intellectual and speech development is limited. Early intervention has shown promising results in normalizing neurological development in a minor subgroup of patients. Therefore, there is a growing need for newborn screening techniques to detect GAMT deficiency early and prevent permanent neurological delays. Here we report a case of GAMT deficiency with emphasis on imaging presentation. Our case showed reduced brain parenchyma creatine stores on MR Spectroscopy, which may provide an avenue to aid in early diagnosis.
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Affiliation(s)
- Joshua L. Libell
- School of Medicine, West Virginia University, Morgantown, WV, 26506, USA
| | - Dhairya A. Lakhani
- Department of Radiology, West Virginia University, 1 Medical Center Dr, Morgantown, WV 26506, USA
| | - Aneri B. Balar
- Department of Radiology, West Virginia University, 1 Medical Center Dr, Morgantown, WV 26506, USA
| | - Musharaf Khan
- Department of Radiology, West Virginia University, 1 Medical Center Dr, Morgantown, WV 26506, USA
| | - Jeffrey S. Carpenter
- Department of Radiology, West Virginia University, 1 Medical Center Dr, Morgantown, WV 26506, USA
| | - Joe T. Joseph
- Department of Radiology, West Virginia University, 1 Medical Center Dr, Morgantown, WV 26506, USA
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Russo C, Pirozzi MA, Mazio F, Cascone D, Cicala D, De Liso M, Nastro A, Covelli EM, Cinalli G, Quarantelli M. Fully automated measurement of intracranial CSF and brain parenchyma volumes in pediatric hydrocephalus by segmentation of clinical MRI studies. Med Phys 2023; 50:7921-7933. [PMID: 37166045 DOI: 10.1002/mp.16445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 03/29/2023] [Accepted: 04/18/2023] [Indexed: 05/12/2023] Open
Abstract
BACKGROUND Brain parenchyma (BP) and intracranial cerebrospinal fluid (iCSF) volumes measured by fully automated segmentation of clinical brain MRI studies may be useful for the diagnosis and follow-up of pediatric hydrocephalus. However, previously published segmentation techniques either rely on dedicated sequences, not routinely used in clinical practice, or on spatial normalization, which has limited accuracy when severe brain distortions, such as in hydrocephalic patients, are present. PURPOSE We developed a fully automated method to measure BP and iCSF volumes from clinical brain MRI studies of pediatric hydrocephalus patients, exploiting the complementary information contained in T2- and T1-weighted images commonly used in clinical practice. METHODS The proposed procedure, following skull-stripping of the combined volumes, performed using a multiparametric method to obtain a reliable definition of the inner skull profile, maximizes the CSF-to-parenchyma contrast by dividing the T2w- by the T1w- volume after full-scale dynamic rescaling, thus allowing separation of iCSF and BP through a simple thresholding routine. RESULTS Validation against manual tracing on 23 studies (four controls and 19 hydrocephalic patients) showed excellent concordance (ICC > 0.98) and spatial overlap (Dice coefficients ranging from 77.2% for iCSF to 96.8% for intracranial volume). Accuracy was comparable to the intra-operator reproducibility of manual segmentation, as measured in 14 studies processed twice by the same experienced neuroradiologist. Results of the application of the algorithm to a dataset of 63 controls and 57 hydrocephalic patients (19 with parenchymal damage), measuring volumes' changes with normal development and in hydrocephalic patients, are also reported for demonstration purposes. CONCLUSIONS The proposed approach allows fully automated segmentation of BP and iCSF in clinical studies, also in severely distorted brains, enabling to assess age- and disease-related changes in intracranial tissue volume with an accuracy comparable to expert manual segmentation.
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Affiliation(s)
- Carmela Russo
- Neuroradiology Unit, Department of Neuroscience, Santobono-Pausilipon Children's Hospital, Naples, Italy
| | - Maria Agnese Pirozzi
- Institute of Biostructures and Bioimaging, National Research Council, Naples, Italy
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Federica Mazio
- Neuroradiology Unit, Department of Neuroscience, Santobono-Pausilipon Children's Hospital, Naples, Italy
| | - Daniele Cascone
- Neuroradiology Unit, Department of Neuroscience, Santobono-Pausilipon Children's Hospital, Naples, Italy
| | - Domenico Cicala
- Neuroradiology Unit, Department of Neuroscience, Santobono-Pausilipon Children's Hospital, Naples, Italy
| | - Maria De Liso
- Neuroradiology Unit, Department of Neuroscience, Santobono-Pausilipon Children's Hospital, Naples, Italy
| | - Anna Nastro
- Neuroradiology Unit, Department of Neuroscience, Santobono-Pausilipon Children's Hospital, Naples, Italy
| | - Eugenio Maria Covelli
- Neuroradiology Unit, Department of Neuroscience, Santobono-Pausilipon Children's Hospital, Naples, Italy
| | - Giuseppe Cinalli
- Pediatric Neurosurgery Unit, Department of Neuroscience, Santobono-Pausilipon Children's Hospital, Naples, Italy
| | - Mario Quarantelli
- Institute of Biostructures and Bioimaging, National Research Council, Naples, Italy
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Lin L, Chen Y, Dai Y, Yan Z, Zou M, Zhou Q, Qian L, Cui W, Liu M, Zhang H, Yang Z, Su S. Quantification of myelination in children with attention-deficit/hyperactivity disorder: a comparative assessment with synthetic MRI and DTI. Eur Child Adolesc Psychiatry 2023:10.1007/s00787-023-02297-3. [PMID: 37712949 DOI: 10.1007/s00787-023-02297-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Accepted: 09/01/2023] [Indexed: 09/16/2023]
Abstract
Evaluation of myelin content is crucial for attention-deficit/hyperactivity disorder (ADHD). To estimate myelin content in ADHD based on synthetic MRI-based method and compare it with established diffusion tensor imaging (DTI) method. Fifth-nine ADHD and fifty typically developing (TD) children were recruited. Global and regional myelin content (myelin volume fraction [MVF] and myelin volume [MYV]) were assessed using SyMRI and compared with DTI metrics (fractional anisotropy and mean/radial/axial diffusivity). The relationship between significant MRI parameters and clinical variables were assessed in ADHD. No between-group differences of whole-brain myelin content were found. Compared to TDs, ADHD showed higher mean MVF in bilateral internal capsule, external capsule, corona radiata, and corpus callosum, as well as in left tapetum, left superior fronto-occipital fascicular, and right cingulum (all PFDR-corrected < 0.05). Increased MYV were found in similar regions. Abnormalities of DTI metrics were mainly in bilateral corticospinal tract. Besides, MVF in right retro lenticular part of internal capsule was negatively correlated with cancellation test scores (r = - 0.41, P = 0.002), and MYV in right posterior limb of internal capsule (r = 0.377, P = 0.040) and left superior corona radiata (r = 0.375, P = 0.041) were positively correlated with cancellation test scores in ADHD. Increased myelin content underscored the important pathway of frontostriatal tract, posterior thalamic radiation, and corpus callosum underlying ADHD, which reinforced the insights into myelin quantification and its potential role in pathophysiological mechanism and disease diagnosis. Prospectively registered trials number: ChiCTR2100048109; date: 2021-07.
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Affiliation(s)
- Liping Lin
- Department of Radiology, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Yingqian Chen
- Department of Radiology, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Yan Dai
- Department of Radiology, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Zi Yan
- Department of Radiology, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Mengsha Zou
- Department of Radiology, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Qin Zhou
- Department of Radiology, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Long Qian
- Department of Biomedical Engineering, College of Engineering, Peking University, Beijing, China
| | - Wei Cui
- Department of Biomedical Engineering, College of Engineering, Peking University, Beijing, China
| | - Meina Liu
- Department of Pediatric, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Hongyu Zhang
- Department of Pediatric, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Zhiyun Yang
- Department of Radiology, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
| | - Shu Su
- Department of Radiology, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
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Dong Y, Deng X, Xie M, Yu L, Qian L, Chen G, Zhang Y, Tang Y, Zhou Z, Long L. Gestational age-related changes in relaxation times of neonatal brain by quantitative synthetic magnetic resonance imaging. Brain Behav 2023:e3068. [PMID: 37248768 DOI: 10.1002/brb3.3068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 03/24/2023] [Accepted: 05/03/2023] [Indexed: 05/31/2023] Open
Abstract
OBJECTIVE This study aimed to explore the correlation between T1 and T2 relaxation times of synthetic MRI (SyMRI) and gestational age (GA) in each hemisphere of preterm and term newborns at the initial 28 days of birth. METHODS Seventy preterm and full-term infants were prospectively included in this study. All subjects completed 3.0 T routine MRI and SyMRI (MAGiC) one-stop scanning within 28 days of birth (aged 34-42 W at examination). The SyMRI postprocessing software (v8.0.4) was used to measure the T1 and T2 relaxation values of each brain region. The linear regression equations of quantitative relaxation values with GA were established to compare the variation speed in each brain region. RESULTS A significant linear and negative correlation was found between relaxation times and GA in the neonate cerebral cortex and subcortical gray and white matter regions (All p<.05). The relaxation time of the left centrum semiovale decreased with maximum variance with increasing GA among all white matter regions (T1: b = -51.45, β = -0.65, p < .0001; T2: b = -8.77, β = -0.71, p < .0001), whereas the right posterior limb of internal capsule showed minimal variance (T1: b = -27.94, β = -0.60, p < .0001; T2: b = -3.25, β = -0.68, p < .0001). Among all gray matter regions, the right globus pallidus and thalamus indicated the most significant decreasing degree of T1 and T2 relaxation values with GA (right globus pallidus T1: b = -33.14, β = -0.64, p < .0001; right thalamus T2: b = -3.94, β = -0.81, p < .0001), and the right and left occipital lobes indicated the least significant decreasing degree of T1 and T2 relaxation values with GA, respectively (right occipital lobes T1: b = -11.18, β = -0.26, p = .028; left occipital lobes T2: b = -1.22, β = -0.27, p = .024). CONCLUSIONS SyMRI could quantitatively evaluate the linear changes of T1 and T2 relaxation values with GA in brain gray and white matter of preterm and term neonates.
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Affiliation(s)
- Yan Dong
- Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
- Department of Radiology, Affiliated Hospital of Guilin Medical University, Guilin Medical University, Guilin, China
| | - Xianyu Deng
- Department of Cardiovascular, Guilin People's Hospital, Guilin, China
| | - Meizhen Xie
- Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Lan Yu
- Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Long Qian
- Department of Biomedical Engineering, College of Engineering, Peking University, Beijing, China
| | - Ge Chen
- Department of Radiology, Affiliated Hospital of Guilin Medical University, Guilin Medical University, Guilin, China
| | - Yali Zhang
- Department of Radiology, Affiliated Hospital of Guilin Medical University, Guilin Medical University, Guilin, China
| | - Yanyun Tang
- Department of Radiology, Affiliated Hospital of Guilin Medical University, Guilin Medical University, Guilin, China
| | - Zhipeng Zhou
- Department of Radiology, Affiliated Hospital of Guilin Medical University, Guilin Medical University, Guilin, China
| | - Liling Long
- Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
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Zou M, Zhou Q, Li R, Hu M, Qian L, Yang Z, Zhao J. Image quality using synthetic brain MRI: an age-stratified study. Acta Radiol 2023; 64:2010-2023. [PMID: 36775871 DOI: 10.1177/02841851231152098] [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: 02/14/2023]
Abstract
BACKGROUND Synthetic magnetic resonance imaging (MRI) might replace the conventional MR sequences in brain evaluation to shorten scan time and obtain multiple quantitative parameters. PURPOSE To evaluate the image quality of multiple-delay-multiple-echo (MDME) sequence-derived synthetic brain MR images compared to conventional images by considering a multi-age sample. MATERIAL AND METHODS Image sets of conventional and synthetic MRI of 200 participants were included. On the basis of the presence of intracranial lesions, the participants were divided into a normal group and a pathological group. Two neuroradiologists compared the anonymous and unordered images. Image quality, artifacts, and diagnostic performance were analyzed. RESULTS In the quantitative analysis, comparing with conventional images, MDME sequence-derived synthetic MRI demonstrated an equal/greater signal-to-noise ratio and contrast-to-noise ratio (CNR) in all age groups. Specifically, for participants aged ≤2 years, synthetic T2-fluid-attenuated inversion recovery imaging showed a significantly higher cerebellum gray/white matter CNR (P < 0.05). In the qualitative and artifact analyses, except for the superior sagittal sinus and cranial nerves, synthetic MRI showed good imaging quality (≥3 points) in all brain structures. On synthetic T1-weighted imaging, high signal intensity within the superior sagittal sinus was found in most of our participants (107/118, 90.7%). No difference was observed between synthetic and conventional MRI in diagnosing the lesions. CONCLUSION MDME sequence-derived synthetic MRI showed similar image quality and diagnostic performance with a shorter acquisition time than conventional MRI. However, the high signal intensity within the superior sagittal sinus on synthetic T1-weighted images requires consideration.
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Affiliation(s)
- Mengsha Zou
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, PR China
| | - Qin Zhou
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, PR China
| | - Ruocheng Li
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, PR China
| | - Manshi Hu
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, PR China
| | - Long Qian
- MR Research, GE Healthcare, Beijing, PR China
| | - Zhiyun Yang
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, PR China
| | - Jing Zhao
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, PR China
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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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Bao S, Liao C, Xu N, Deng A, Luo Y, Ouyang Z, Guo X, Liu Y, Ke T, Yang J. Prediction of brain age using quantitative parameters of synthetic magnetic resonance imaging. Front Aging Neurosci 2022; 14:963668. [PMID: 36457759 PMCID: PMC9705592 DOI: 10.3389/fnagi.2022.963668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 10/20/2022] [Indexed: 11/17/2022] Open
Abstract
Objective Brain tissue changes dynamically during aging. The purpose of this study was to use synthetic magnetic resonance imaging (syMRI) to evaluate the changes in relaxation values in different brain regions during brain aging and to construct a brain age prediction model. Materials and methods Quantitative MRI was performed on 1,000 healthy people (≥ 18 years old) from September 2020 to October 2021. T1, T2 and proton density (PD) values were simultaneously measured in 17 regions of interest (the cerebellar hemispheric cortex, pons, amygdala, hippocampal head, hippocampal tail, temporal lobe, occipital lobe, frontal lobe, caudate nucleus, lentiform nucleus, dorsal thalamus, centrum semiovale, parietal lobe, precentral gyrus, postcentral gyrus, substantia nigra, and red nucleus). The relationship between the relaxation values and age was investigated. In addition, we analyzed the relationship between brain tissue values and sex. Finally, the participants were divided into two age groups: < 60 years old and ≥ 60 years old. Logistic regression analysis was carried out on the two groups of data. According to the weight of related factors, a brain age prediction model was established and verified. Results We obtained the specific reference value range of different brain regions of individuals in different age groups and found that there were differences in relaxation values in brain tissue between different sexes in the same age group. Moreover, the relaxation values of most brain regions in males were slightly higher than those in females. In the study of age and brain relaxation, it was found that brain relaxation values were correlated with age. The T1 values of the centrum semiovale increased with age, the PD values of the centrum semiovale increased with age, while the T2 values of the caudate nucleus and lentiform nucleus decreased with age. Seven brain age prediction models were constructed with high sensitivity and specificity, among which the combined T1, T2 and PD values showed the best prediction efficiency. In the training set, the area under the curve (AUC), specificity and sensitivity were 0.959 [95% confidence interval (CI): 0.945–0.974], 91.51% and 89.36%, respectively. In the test cohort, the above indicators were 0.916 (95% CI: 0.882–0.951), 89.24% and 80.33%, respectively. Conclusion Our study provides specific reference ranges of T1, T2, and PD values in different brain regions from healthy adults of different ages. In addition, there are differences in brain relaxation values in some brain regions between different sexes, which help to provide new ideas for brain diseases that differ according to sex. The brain age model based on synthetic MRI is helpful to determine brain age.
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10
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Kim E, Cho HH, Cho SH, Park B, Hong J, Shin KM, Hwang MJ, You SK, Lee SM. Accelerated Synthetic MRI with Deep Learning-Based Reconstruction for Pediatric Neuroimaging. AJNR Am J Neuroradiol 2022; 43:1653-1659. [PMID: 36175085 PMCID: PMC9731246 DOI: 10.3174/ajnr.a7664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 08/31/2022] [Indexed: 02/01/2023]
Abstract
BACKGROUND AND PURPOSE Synthetic MR imaging is a time-efficient technique. However, its rather long scan time can be challenging for children. This study aimed to evaluate the clinical feasibility of accelerated synthetic MR imaging with deep learning-based reconstruction in pediatric neuroimaging and to investigate the impact of deep learning-based reconstruction on image quality and quantitative values in synthetic MR imaging. MATERIALS AND METHODS This study included 47 children 2.3-14.7 years of age who underwent both standard and accelerated synthetic MR imaging at 3T. The accelerated synthetic MR imaging was reconstructed using a deep learning pipeline. The image quality, lesion detectability, tissue values, and brain volumetry were compared among accelerated deep learning and accelerated and standard synthetic data sets. RESULTS The use of deep learning-based reconstruction in the accelerated synthetic scans significantly improved image quality for all contrast weightings (P < .001), resulting in image quality comparable with or superior to that of standard scans. There was no significant difference in lesion detectability between the accelerated deep learning and standard scans (P > .05). The tissue values and brain tissue volumes obtained with accelerated deep learning and the other 2 scans showed excellent agreement and a strong linear relationship (all, R 2 > 0.9). The difference in quantitative values of accelerated scans versus accelerated deep learning scans was very small (tissue values, <0.5%; volumetry, -1.46%-0.83%). CONCLUSIONS The use of deep learning-based reconstruction in synthetic MR imaging can reduce scan time by 42% while maintaining image quality and lesion detectability and providing consistent quantitative values. The accelerated deep learning synthetic MR imaging can replace standard synthetic MR imaging in both contrast-weighted and quantitative imaging.
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Affiliation(s)
- E Kim
- From the Departments of Medical and Biological Engineering (E.K.)
- Korea Radioisotope Center for Pharmaceuticals (E.K.), Korea Institute of Radiological and Medical Sciences, Seoul, South Korea
| | - H-H Cho
- Department of Radiology and Medical Research Institute (H.-H.C.), College of Medicine, Ewha Womans University, Seoul, South Korea
| | - S H Cho
- Radiology (S.H.C., B.P., J.H., K.M.S., S.M.L.), School of Medicine, Kyungpook National University, Daegu, South Korea
- Department of Radiology (S.H.C., B.P., J.H., K.M.S., S.M.L.), Kyungpook National University Chilgok Hospital, Daegu, South Korea
| | - B Park
- Radiology (S.H.C., B.P., J.H., K.M.S., S.M.L.), School of Medicine, Kyungpook National University, Daegu, South Korea
- Department of Radiology (S.H.C., B.P., J.H., K.M.S., S.M.L.), Kyungpook National University Chilgok Hospital, Daegu, South Korea
| | - J Hong
- Radiology (S.H.C., B.P., J.H., K.M.S., S.M.L.), School of Medicine, Kyungpook National University, Daegu, South Korea
- Department of Radiology (S.H.C., B.P., J.H., K.M.S., S.M.L.), Kyungpook National University Chilgok Hospital, Daegu, South Korea
| | - K M Shin
- Radiology (S.H.C., B.P., J.H., K.M.S., S.M.L.), School of Medicine, Kyungpook National University, Daegu, South Korea
- Department of Radiology (S.H.C., B.P., J.H., K.M.S., S.M.L.), Kyungpook National University Chilgok Hospital, Daegu, South Korea
| | - M J Hwang
- GE Healthcare Korea (M.J.H.), Seoul, South Korea
| | - S K You
- Department of Radiology (S.K.Y.), Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, South Korea
| | - S M Lee
- Radiology (S.H.C., B.P., J.H., K.M.S., S.M.L.), School of Medicine, Kyungpook National University, Daegu, South Korea
- Department of Radiology (S.H.C., B.P., J.H., K.M.S., S.M.L.), Kyungpook National University Chilgok Hospital, Daegu, South Korea
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11
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Time-saving synthetic magnetic resonance imaging protocols for pediatric neuroimaging: impact of echo train length and bandwidth on image quality. Pediatr Radiol 2022; 52:2401-2412. [PMID: 35661908 DOI: 10.1007/s00247-022-05389-5] [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: 12/22/2021] [Revised: 03/01/2022] [Accepted: 04/26/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Synthetic MRI is a time-efficient imaging technique that provides both quantitative MRI and contrast-weighted images simultaneously. However, a rather long single scan time can be challenging for children. OBJECTIVE To evaluate the clinical feasibility of time-saving synthetic MRI protocols adjusted for echo train length and receiver bandwidth in pediatric neuroimaging based on image quality assessment and quantitative data analysis. MATERIALS AND METHODS In total, we included 33 children ages 1.6-17.4 years who underwent synthetic MRI using three sets of echo train length and receiver bandwidth combinations (echo train length [E]12-bandwidth [B in KHz]22, E16-B22 and E16-B83) at 3 T. The image quality and lesion conspicuity of synthetic contrast-weighted images were compared between the suggested protocol (E12-B22) and adjusted protocols (E16-B22 and E16-B83). We also compared tissue values (T1, T2, proton-density values) and brain volumetry. RESULTS For the E16-B83 combination, image quality was sufficient except for 15.2% of T1-W and 3% of T2-W fluid-attenuated inversion recovery (FLAIR) images, with remarkable scan time reduction (up to 35%). The E16-B22 combination demonstrated a comparable image quality to E12-B22 (P>0.05) with a scan time reduction of up to 8%. There were no significant differences in lesion conspicuity among the three protocols (P>0.05). Tissue value measurements and brain tissue volumes obtained with the E12-B22 protocol and adjusted protocols showed excellent agreement and strong correlations except for gray matter volume and non-white matter/gray matter/cerebrospinal fluid volume in E12-B22 vs. E16-B83. CONCLUSION The adjusted synthetic protocols produced image quality sufficient or comparable to that of the suggested protocol while maintaining lesion conspicuity with reduced scan time. The quantitative values were generally consistent with the suggested MRI-protocol-derived values, which supports the clinical application of adjusted protocols in pediatric neuroimaging.
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12
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Pediatric Brain Maturation and Migration Disorders. Diagnostics (Basel) 2022; 12:diagnostics12051123. [PMID: 35626279 PMCID: PMC9139849 DOI: 10.3390/diagnostics12051123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Revised: 04/13/2022] [Accepted: 04/26/2022] [Indexed: 11/30/2022] Open
Abstract
Neurodevelopmental disorders, including neuronal migration disorders, are best understood in the context of altered normal development. Neurons normally migrate from their site of origin to their (usually cortical) destination using a wide range of molecular and cellular signaling as a guide. In the case of abnormal migration neurons: (1) do not migrate and remain at their site of origin; (2) incompletely migrate and remain within the white matter; (3) migrate to the cortex but fail to organize correctly; or (4) over-migrate, beyond the cortex. In this review, we discuss normal brain development, along with the malformations that result from these different migration abnormalities.
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13
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Nagaraj UD, Venkatesan C, Bierbrauer KS, Kline-Fath BM. Value of pre- and postnatal magnetic resonance imaging in the evaluation of congenital central nervous system anomalies. Pediatr Radiol 2022; 52:802-816. [PMID: 34232351 DOI: 10.1007/s00247-021-05137-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 04/30/2021] [Accepted: 06/10/2021] [Indexed: 12/12/2022]
Abstract
Fetal MRI and neonatal MRI of the central nervous system (CNS) are complementary tools that can help to accurately counsel and direct the management of children with anomalies of the central nervous system. Postnatal MRI can add to fetal MRI by allowing for monitoring of changes in the severity of disease, better delineation of a suspected prenatal anomaly, evaluation for secondary pathologies related to the primary diagnosis, and surgical management direction. In this review we discuss the roles of fetal and neonatal MRI in the diagnosis and treatment of congenital anomalies of the CNS through a series of case examples and how both are important in patient management.
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Affiliation(s)
- Usha D Nagaraj
- Department of Radiology and Medical Imaging, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., Cincinnati, OH, 45229, USA. .,University of Cincinnati College of Medicine, Cincinnati, OH, USA.
| | - Charu Venkatesan
- University of Cincinnati College of Medicine, Cincinnati, OH, USA.,Department of Neurology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Karin S Bierbrauer
- University of Cincinnati College of Medicine, Cincinnati, OH, USA.,Department of Neurosurgery, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Beth M Kline-Fath
- Department of Radiology and Medical Imaging, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., Cincinnati, OH, 45229, USA.,University of Cincinnati College of Medicine, Cincinnati, OH, USA
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14
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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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15
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Kovac V, Shapiro EG, Rudser KD, Mueller BA, Eisengart JB, Delaney KA, Ahmed A, King KE, Yund BD, Cowan MJ, Raiman J, Mamak EG, Harmatz PR, Shankar SP, Ali N, Cagle SR, Wozniak JR, Lim KO, Orchard PJ, Whitley CB, Nestrasil I. Quantitative brain MRI morphology in severe and attenuated forms of mucopolysaccharidosis type I. Mol Genet Metab 2022; 135:122-132. [PMID: 35012890 PMCID: PMC8898074 DOI: 10.1016/j.ymgme.2022.01.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 01/04/2022] [Accepted: 01/04/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To assess our hypothesis that brain macrostructure is different in individuals with mucopolysaccharidosis type I (MPS I) and healthy controls (HC), we conducted a comprehensive multicenter study using a uniform quantitative magnetic resonance imaging (qMRI) protocol, with analyses that account for the effects of disease phenotype, age, and cognition. METHODS Brain MRIs in 23 individuals with attenuated (MPS IA) and 38 with severe MPS I (MPS IH), aged 4-25 years, enrolled under the study protocol NCT01870375, were compared to 98 healthy controls. RESULTS Cortical and subcortical gray matter, white matter, corpus callosum, ventricular and choroid plexus volumes in MPS I significantly differed from HC. Thicker cortex, lower white matter and corpus callosum volumes were already present at the youngest MPS I participants aged 4-5 years. Age-related differences were observed in both MPS I groups, but most markedly in MPS IH, particularly in cortical gray matter metrics. IQ scores were inversely associated with ventricular volume in both MPS I groups and were positively associated with cortical thickness only in MPS IA. CONCLUSIONS Quantitatively-derived MRI measures distinguished MPS I participants from HC as well as severe from attenuated forms. Age-related neurodevelopmental trajectories in both MPS I forms differed from HC. The extent to which brain structure is altered by disease, potentially spared by treatment, and how it relates to neurocognitive dysfunction needs further exploration.
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Affiliation(s)
- Victor Kovac
- Division of Clinical Behavioral Neuroscience, Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA.
| | - Elsa G Shapiro
- Division of Clinical Behavioral Neuroscience, Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA.
| | - Kyle D Rudser
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
| | - Bryon A Mueller
- Department of Psychiatry & Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA.
| | - Julie B Eisengart
- Division of Clinical Behavioral Neuroscience, Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA.
| | - Kathleen A Delaney
- Division of Clinical Behavioral Neuroscience, Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA.
| | - Alia Ahmed
- Division of Clinical Behavioral Neuroscience, Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA.
| | - Kelly E King
- Division of Clinical Behavioral Neuroscience, Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA.
| | - Brianna D Yund
- Division of Clinical Behavioral Neuroscience, Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA.
| | - Morton J Cowan
- UCSF Benioff Children's Hospital, University of California, San Francisco, CA, USA.
| | - Julian Raiman
- Division of Clinical and Metabolic Genetics, Department of Paediatrics, University of Toronto, The Hospital for Sick Children, Toronto, ON, Canada.
| | - Eva G Mamak
- Department of Psychology, The Hospital for Sick Children, Toronto, ON, Canada.
| | - Paul R Harmatz
- UCSF Benioff Children's Hospital Oakland, Oakland, CA, USA.
| | - Suma P Shankar
- Department of Ophthalmology and Human Genetics, Emory University, Atlanta, GA, USA.
| | - Nadia Ali
- Department of Human Genetics, Emory University, Atlanta, GA, USA.
| | | | - Jeffrey R Wozniak
- Department of Psychiatry & Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA.
| | - Kelvin O Lim
- Department of Psychiatry & Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA.
| | - Paul J Orchard
- Division of Pediatric Blood & Marrow Transplantation, Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA.
| | - Chester B Whitley
- Gene Therapy Center, Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA.
| | - Igor Nestrasil
- Division of Clinical Behavioral Neuroscience, Department of Pediatrics, University of Minnesota, Center for Magnetic Resonance Research (CMRR), Department of Radiology, Minneapolis, MN, USA.
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16
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Ndengera M, Delattre BMA, Scheffler M, Lövblad KO, Meling TR, Vargas MI. Relaxation time of brain tissue in the elderly assessed by synthetic MRI. Brain Behav 2022; 12:e2449. [PMID: 34862855 PMCID: PMC8785630 DOI: 10.1002/brb3.2449] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 10/12/2021] [Accepted: 10/31/2021] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Synthetic MRI (SyMRI) is a quantitative technique that allows measurements of T1 and T2 relaxation times (RTs). Brain RT evolution across lifespan is well described for the younger population. The aim was to study RTs of brain parenchyma in a healthy geriatric population in order to define the normal value of structures in this group population. Normal values for geriatric population could help find biomarker for age-related brain disease. MATERIALS AND METHODS Fifty-four normal-functioning individuals (22 females, 32 males) with mean age of 83 years (range 56-98) underwent SyMRI. RT values in manually defined ROIs (centrum semiovale, middle cerebellar peduncles, thalamus, and insular cortex) and in segmented whole-brain components (brain parenchyma, gray matter, white matter, myelin, CSF, and stromal structures) were extracted from the SyMRI segmentation software. Patients' results were combined into the group age. Main ROI-based and whole-brain results were compared for the all dataset and for age group results as well. RESULTS For white matter, RTs between ROI-based analyses and whole-brain results for T2 and for T1 were statistically different and a trend of increasing T1 in centrum semiovale and cerebellar peduncle was observed. For gray matter, thalamic T1 was statistically different from insular T1. A difference was also found between left and right insula (p < .0001). T1 RTs of ROI-based and whole-brain-based analyses were statistically different (p < .0001). No significant difference in T1 and T2 was found between age groups on ROI-based analysis, but T1 in centrum semiovale and thalamus increased with age. No statistical difference between age groups was found for the various segmented volumes except for myelin between 65-74 years of age and the 95-105 years of age groups (p = .038). CONCLUSIONS SyMRI is a new tool that allows faster imaging and permits to obtain quantitative T1 and T2. By defining RT values of different brain components of normal-functioning elderly individuals, this technique may be used as a biomarker for clinical disorders like dementia.
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Affiliation(s)
- Martin Ndengera
- Division of Neurosurgery, Department of Clinical Neurosciences, Geneva University Hospitals, Geneva, Switzerland
| | - Bénédicte M A Delattre
- Division of Radiology, Department of Diagnostics, Geneva University Hospitals, Geneva, Switzerland
| | - Max Scheffler
- Division of Radiology, Department of Diagnostics, Geneva University Hospitals, Geneva, Switzerland
| | - Karl-Olof Lövblad
- Division of Neuroradiology, Department of Diagnostics, Geneva University Hospitals, Geneva, Switzerland.,Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Torstein R Meling
- Division of Neurosurgery, Department of Clinical Neurosciences, Geneva University Hospitals, Geneva, Switzerland.,Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Maria Isabel Vargas
- Division of Neuroradiology, Department of Diagnostics, Geneva University Hospitals, Geneva, Switzerland.,Faculty of Medicine, University of Geneva, Geneva, Switzerland
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17
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Chen Y, Su S, Dai Y, Wen Z, Qian L, Zhang H, Liu M, Fan M, Chu J, Yang Z. Brain Volumetric Measurements in Children With Attention Deficit Hyperactivity Disorder: A Comparative Study Between Synthetic and Conventional Magnetic Resonance Imaging. Front Neurosci 2021; 15:711528. [PMID: 34759789 PMCID: PMC8573371 DOI: 10.3389/fnins.2021.711528] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 09/30/2021] [Indexed: 11/13/2022] Open
Abstract
Objective: To investigate the profiles of brain volumetric measurements in children with attention deficit hyperactivity disorder (ADHD), and the consistency of these brain volumetric measurements derived from the synthetic and conventional T1 weighted MRI (SyMRI and cT1w MRI). Methods: Brain SyMRI and cT1w images were prospectively collected for 38 pediatric patients with ADHD and 38 healthy children (HC) with an age range of 6–14 years. The gray matter volume (GMV), white matter volume (WMV), cerebrospinal fluid (CSF), non-WM/GM/CSF (NoN), myelin, myelin fraction (MYF), brain parenchyma volume (BPV), and intracranial volume (ICV) were automatically estimated from SyMRI data, and the four matching measurements (GMV, WMV, BPV, ICV) were extracted from cT1w images. The group differences of brain volumetric measurements were performed, respectively, using analysis of covariance. Pearson correlation analysis and interclass correlation coefficient (ICC) were applied to evaluate the association between synthetic and cT1w MRI-derived measurements. Results: As for the brain volumetric measurements extracted from SyMRI, significantly decreased GMV, WMV, BPV, and increased NON volume (p < 0.05) were found in the ADHD group compared with HC; No group differences were found in ICV, CSF, myelin volume and MYF (p > 0.05). With regard to GMV, WMV, BPV, and ICV estimated from cT1w images, the group differences between ADHD and HC were consistent with the results estimated from SyMRI. And these four measurements showed noticeable correlation between the two approaches (r = 0.692, 0.643, 0.898, 0.789, respectively, p < 0.001; ICC values are 0.809, 0.782, 0.946, 0.873, respectively). Conclusion: Our study demonstrated a global brain development disability, but normal whole-brain myelination in children with ADHD. Moreover, our results demonstrated the high consistency of brain volumetric indices between synthetic and cT1w MRI in children, which indicates the high reliability of SyMRI in the child-brain volumetric analysis.
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Affiliation(s)
- Yingqian Chen
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Shu Su
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yan Dai
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Zhihua Wen
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Long Qian
- MR Research, GE Healthcare, Beijing, China
| | - Hongyu Zhang
- Department of Pediatrics, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Meina Liu
- Department of Pediatrics, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Miao Fan
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jianping Chu
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Zhiyun Yang
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
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18
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Parlak S, Coban G, Gumeler E, Karakaya J, Soylemezoglu F, Tezer I, Bilginer B, Saygi S, Oguz KK. Reduced myelin in patients with isolated hippocampal sclerosis as assessed by SyMRI. Neuroradiology 2021; 64:99-107. [PMID: 34611716 PMCID: PMC8492040 DOI: 10.1007/s00234-021-02824-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 09/25/2021] [Indexed: 02/05/2023]
Abstract
Purpose Synthetic MRI (SyMRI) enables to quantify brain tissue and morphometry. We aimed to investigate the WM and myelin alterations in patients with unilateral hippocampal sclerosis (HS) with SyMRI. Methods Adult patients with isolated unilateral HS and age-matched control subjects (CSs) were included in this study. The SyMRI sequence QRAPMASTER in the coronal plane perpendicular to the hippocampi was obtained from the whole brain. Automatic segmentation of the whole brain was processed by SyMRI Diagnostic software (Version 11.2). Two neuroradiologists also performed quantitative analyses independently from symmetrical 14 ROIs placed in temporal and extratemporal WM, hippocampi, and amygdalae in both hemispheres. Results Sixteen patients (F/M = 6/10, mean age = 32.5 ± 11.3 years; right/left HS: 8/8) and 10 CSs (F/M = 5/5, mean age = 30.7 ± 7 years) were included. Left HS patients had significantly lower myelin and WM volumes than CSs (p < .05). Myelin was reduced significantly in the ipsilateral temporal lobe of patients than CSs, greater in left HS (p < .05). Histopathological examination including luxol fast blue stain also revealed myelin pallor in all of 6 patients who were operated. Ipsilateral temporal pole and sub-insular WM had significantly reduced myelin than the corresponding contralateral regions in patients (p < .05). No significant difference was found in WM values. GM values were significantly lower in hippocampi in patients than CSs (p < .05). Conclusion SyMRI revealed myelin reduction in the ipsilateral temporal lobe and sub-insular WM of patients with HS. Whether this finding correlates with electrophysiological features and SyMRI could serve as lateralization of temporal lobe epilepsy need to be investigated. Supplementary Information The online version contains supplementary material available at 10.1007/s00234-021-02824-6.
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Affiliation(s)
- Safak Parlak
- Department of Radiology, Hacettepe University Faculty of Medicine, Ankara, Turkey.
| | - Gokcen Coban
- Department of Radiology, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Ekim Gumeler
- Department of Radiology, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Jale Karakaya
- Department of Biostatistics, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Figen Soylemezoglu
- Department of Pathology, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Irsel Tezer
- Department of Neurology, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Burcak Bilginer
- Department of Neurosurgery, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Serap Saygi
- Department of Neurology, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Kader K Oguz
- Department of Radiology, Hacettepe University Faculty of Medicine, Ankara, Turkey
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19
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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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20
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Lee SM, Kim E, You SK, Cho HH, Hwang MJ, Hahm MH, Cho SH, Kim WH, Kim HJ, Shin KM, Park B, Chang Y. Clinical adaptation of synthetic MRI-based whole brain volume segmentation in children at 3 T: comparison with modified SPM segmentation methods. Neuroradiology 2021; 64:381-392. [PMID: 34382095 DOI: 10.1007/s00234-021-02779-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 07/29/2021] [Indexed: 11/26/2022]
Abstract
PURPOSE To validate the use of synthetic magnetic resonance imaging (SyMRI) volumetry by comparing with child-optimized SPM 12 volumetry in 3 T pediatric neuroimaging. METHODS In total, 106 children aged 4.7-18.7 years who underwent both synthetic and 3D T1-weighted imaging and had no abnormal imaging/neurologic findings were included for the SyMRI vs. SPM T1-only segmentation (SPM T1). Forty of the 106 children who underwent an additional 3D T2-weighted imaging were included for the SyMRI vs. SPM multispectral segmentation (SPM multi). SPM segmentation using an age-appropriate atlas and inverse-transforming template-space intracranial mask was compared with SyMRI segmentation. Volume differences between SyMRI and SPM T1 were plotted against age to evaluate the influence of age on volume difference. RESULTS Measurements derived from SyMRI and two SPM methods showed excellent agreements and strong correlations except for the CSF volume (CSFV) (intraclass correlation coefficients = 0.87-0.98; r = 0.78-0.96; relative volume difference other than CSFV = 6.8-18.5% [SyMRI vs. SPM T1] and 11.3-22.7% [SyMRI vs. SPM multi]). Dice coefficients of all brain tissues (except CSF) were in the range 0.78-0.91. The Bland-Altman plot and age-related volume difference change suggested that the volume differences between the two methods were influenced by the volume of each brain tissue and subject's age (p < 0.05). CONCLUSION SyMRI and SPM segmentation results were consistent except for CSFV, which supports routine clinical use of SyMRI-based volumetry in pediatric neuroimaging. However, caution should be taken in the interpretation of the CSF segmentation results.
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Affiliation(s)
- So Mi Lee
- Department of Radiology, School of Medicine, Kyungpook National University, Daegu, South Korea
- Department of Radiology, Kyungpook National University Chilgok Hospital, Daegu, South Korea
| | - Eunji Kim
- Department of Medical & Biological Engineering, Kyungpook National University, Daegu, South Korea
| | - Sun Kyoung You
- Department of Radiology, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, South Korea
| | - Hyun-Hae Cho
- Department of Radiology and Medical Research Institute, College of Medicine, Ewha Womans University, Anyangcheon-Ro, 1071, Yangcheon-gu, Seoul, 07985, South Korea
| | | | - Myong-Hun Hahm
- Department of Radiology, School of Medicine, Kyungpook National University, Daegu, South Korea
- Department of Radiology, Kyungpook National University Chilgok Hospital, Daegu, South Korea
| | - Seung Hyun Cho
- Department of Radiology, School of Medicine, Kyungpook National University, Daegu, South Korea
- Department of Radiology, Kyungpook National University Chilgok Hospital, Daegu, South Korea
| | - Won Hwa Kim
- Department of Radiology, School of Medicine, Kyungpook National University, Daegu, South Korea
- Department of Radiology, Kyungpook National University Chilgok Hospital, Daegu, South Korea
| | - Hye Jung Kim
- Department of Radiology, School of Medicine, Kyungpook National University, Daegu, South Korea
- Department of Radiology, Kyungpook National University Chilgok Hospital, Daegu, South Korea
| | - Kyung Min Shin
- Department of Radiology, School of Medicine, Kyungpook National University, Daegu, South Korea
- Department of Radiology, Kyungpook National University Chilgok Hospital, Daegu, South Korea
| | - Byunggeon Park
- Department of Radiology, School of Medicine, Kyungpook National University, Daegu, South Korea
- Department of Radiology, Kyungpook National University Chilgok Hospital, Daegu, South Korea
| | - Yongmin Chang
- Department of Molecular Medicine, School of Medicine, Kyungpook National University, 130 Dongdeok-ro, Jung-gu, Daegu, 41944, South Korea.
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21
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Peterson MR, Cherukuri V, Paulson JN, Ssentongo P, Kulkarni AV, Warf BC, Monga V, Schiff SJ. Normal childhood brain growth and a universal sex and anthropomorphic relationship to cerebrospinal fluid. J Neurosurg Pediatr 2021; 28:458-468. [PMID: 34243147 PMCID: PMC8594737 DOI: 10.3171/2021.2.peds201006] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Accepted: 02/19/2021] [Indexed: 11/23/2022]
Abstract
OBJECTIVE The study of brain size and growth has a long and contentious history, yet normal brain volume development has yet to be fully described. In particular, the normal brain growth and cerebrospinal fluid (CSF) accumulation relationship is critical to characterize because it is impacted in numerous conditions of early childhood in which brain growth and fluid accumulation are affected, such as infection, hemorrhage, hydrocephalus, and a broad range of congenital disorders. The authors of this study aim to describe normal brain volume growth, particularly in the setting of CSF accumulation. METHODS The authors analyzed 1067 magnetic resonance imaging scans from 505 healthy pediatric subjects from birth to age 18 years to quantify component and regional brain volumes. The volume trajectories were compared between the sexes and hemispheres using smoothing spline ANOVA. Population growth curves were developed using generalized additive models for location, scale, and shape. RESULTS Brain volume peaked at 10-12 years of age. Males exhibited larger age-adjusted total brain volumes than females, and body size normalization procedures did not eliminate this difference. The ratio of brain to CSF volume, however, revealed a universal age-dependent relationship independent of sex or body size. CONCLUSIONS These findings enable the application of normative growth curves in managing a broad range of childhood diseases in which cognitive development, brain growth, and fluid accumulation are interrelated.
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Affiliation(s)
- Mallory R. Peterson
- Center for Neural Engineering, The Pennsylvania State University, University Park,Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park,The Pennsylvania State University College of Medicine, Hershey, Pennsylvania
| | - Venkateswararao Cherukuri
- Center for Neural Engineering, The Pennsylvania State University, University Park,School of Electrical Engineering and Computer Science, The Pennsylvania State University, University Park
| | - Joseph N. Paulson
- Department of Biostatistics, Product Development, Genentech Inc., South San Francisco, California
| | - Paddy Ssentongo
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park
| | - Abhaya V. Kulkarni
- Department of Neurosurgery, University of Toronto,Department of Neurosurgery, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Benjamin C. Warf
- Department of Neurosurgery, Harvard Medical School,Department of Neurosurgery, Boston Children’s Hospital, Boston, Massachusetts
| | - Vishal Monga
- School of Electrical Engineering and Computer Science, The Pennsylvania State University, University Park
| | - Steven J. Schiff
- Center for Neural Engineering, The Pennsylvania State University, University Park,Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park,Department of Neurosurgery, The Pennsylvania State University, University Park,Department of Physics, The Pennsylvania State University, University Park
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22
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Accessible pediatric neuroimaging using a low field strength MRI scanner. Neuroimage 2021; 238:118273. [PMID: 34146712 DOI: 10.1016/j.neuroimage.2021.118273] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 05/31/2021] [Accepted: 06/15/2021] [Indexed: 12/21/2022] Open
Abstract
Magnetic resonance imaging (MRI) has played an increasingly relevant role in understanding infant, child, and adolescent neurodevelopment, providing new insight into developmental patterns in neurotypical development, as well as those associated with potential psychopathology, learning disorders, and other neurological conditions. In addition, studies have shown the impact of a child's physical and psychosocial environment on developing brain structure and function. A rate-limiting complication in these studies, however, is the high cost and infrastructural requirements of modern MRI systems. High costs mean many neuroimaging studies typically include fewer than 100 individuals and are performed predominately in high resource hospitals and university settings within high income countries (HICs). As a result, our knowledge of brain development, particularly in children who live in lower and middle income countries (LMICs) is relatively limited. Low field systems, with magnetic fields less than 100mT offer the promise of lower scanning costs and wide-spread global adoption, but routine low field pediatric neuroimaging has yet to be demonstrated. Here we present the first pediatric MRI data collected on a low cost and assessable 64mT scanner in children 6 weeks to 16 years of age and replicate brain volumes estimates and developmental trajectories derived from 3T MRI data. While preliminary, these results illustrate the potential of low field imaging as a viable complement to more conventional high field imaging systems, and one that may further enhance our knowledge of neurodevelopment in LMICs where malnutrition, psychosocial adversities, and other environmental exposures may profoundly affect brain maturation.
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23
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Serru M, Marechal B, Kober T, Ribier L, Sembely Taveau C, Sirinelli D, Cottier JP, Morel B. Improving diagnosis accuracy of brain volume abnormalities during childhood with an automated MP2RAGE-based MRI brain segmentation. J Neuroradiol 2021; 48:259-265. [DOI: 10.1016/j.neurad.2019.06.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Revised: 06/04/2019] [Accepted: 06/07/2019] [Indexed: 11/30/2022]
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24
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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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25
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Hagiwara A, Fujimoto K, Kamagata K, Murata S, Irie R, Kaga H, Someya Y, Andica C, Fujita S, Kato S, Fukunaga I, Wada A, Hori M, Tamura Y, Kawamori R, Watada H, Aoki S. Age-Related Changes in Relaxation Times, Proton Density, Myelin, and Tissue Volumes in Adult Brain Analyzed by 2-Dimensional Quantitative Synthetic Magnetic Resonance Imaging. Invest Radiol 2021; 56:163-172. [PMID: 32858581 PMCID: PMC7864648 DOI: 10.1097/rli.0000000000000720] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 07/20/2020] [Accepted: 07/20/2020] [Indexed: 11/04/2022]
Abstract
OBJECTIVES Quantitative synthetic magnetic resonance imaging (MRI) enables the determination of fundamental tissue properties, namely, T1 and T2 relaxation times and proton density (PD), in a single scan. Myelin estimation and brain segmentation based on these quantitative values can also be performed automatically. This study aimed to reveal the changes in tissue characteristics and volumes of the brain according to age and provide age-specific reference values obtained by quantitative synthetic MRI. MATERIALS AND METHODS This was a prospective study of healthy subjects with no history of brain diseases scanned with a multidynamic multiecho sequence for simultaneous measurement of relaxometry of T1, T2, and PD. We performed myelin estimation and brain volumetry based on these values. We performed volume-of-interest analysis on both gray matter (GM) and white matter (WM) regions for T1, T2, PD, and myelin volume fraction maps. Tissue volumes were calculated in the whole brain, producing brain parenchymal volume, GM volume, WM volume, and myelin volume. These volumes were normalized by intracranial volume to a brain parenchymal fraction, GM fraction, WM fraction, and myelin fraction (MyF). We examined the changes in the mean regional quantitative values and segmented tissue volumes according to age. RESULTS We analyzed data of 114 adults (53 men and 61 women; median age, 66.5 years; range, 21-86 years). T1, T2, and PD values showed quadratic changes according to age and stayed stable or decreased until around 60 years of age and increased thereafter. Myelin volume fraction showed a reversed trend. Brain parenchymal fraction and GM fraction decreased throughout all ages. The approximation curves showed that WM fraction and MyF gradually increased until around the 40s to 50s and decreased thereafter. A significant decline in MyF was first noted in the 60s age group (Tukey test, P < 0.001). CONCLUSIONS Our study showed changes according to age in tissue characteristic values and brain volumes using quantitative synthetic MRI. The reference values for age demonstrated in this study may be useful to discriminate brain disorders from healthy brains.
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Affiliation(s)
- Akifumi Hagiwara
- From the Department of Radiology, Juntendo University Graduate School of Medicine
| | - Kotaro Fujimoto
- From the Department of Radiology, Juntendo University Graduate School of Medicine
- Department of Radiology, Graduate School of Medicine, The University of Tokyo
| | - Koji Kamagata
- From the Department of Radiology, Juntendo University Graduate School of Medicine
| | - Syo Murata
- From the Department of Radiology, Juntendo University Graduate School of Medicine
| | - Ryusuke Irie
- From the Department of Radiology, Juntendo University Graduate School of Medicine
| | - Hideyoshi Kaga
- Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine
| | - Yuki Someya
- Sportology Center, Juntendo University Graduate School of Medicine
| | - Christina Andica
- From the Department of Radiology, Juntendo University Graduate School of Medicine
| | - Shohei Fujita
- From the Department of Radiology, Juntendo University Graduate School of Medicine
- Department of Radiology, Graduate School of Medicine, The University of Tokyo
| | - Shimpei Kato
- From the Department of Radiology, Juntendo University Graduate School of Medicine
- Department of Radiology, Graduate School of Medicine, The University of Tokyo
| | - Issei Fukunaga
- Department of Radiological Technology, Faculty of Health Science, Juntendo University
| | - Akihiko Wada
- From the Department of Radiology, Juntendo University Graduate School of Medicine
| | - Masaaki Hori
- From the Department of Radiology, Juntendo University Graduate School of Medicine
- Department of Radiology, Toho University Omori Medical Center, Tokyo, Japan
| | - Yoshifumi Tamura
- Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine
- Sportology Center, Juntendo University Graduate School of Medicine
| | - Ryuzo Kawamori
- Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine
- Sportology Center, Juntendo University Graduate School of Medicine
| | - Hirotaka Watada
- Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine
- Sportology Center, Juntendo University Graduate School of Medicine
| | - Shigeki Aoki
- From the Department of Radiology, Juntendo University Graduate School of Medicine
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26
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Murata S, Hagiwara A, Fujita S, Haruyama T, Kato S, Andica C, Kamagata K, Goto M, Hori M, Yoneyama M, Hamasaki N, Hoshito H, Aoki S. Effect of hybrid of compressed sensing and parallel imaging on the quantitative values measured by 3D quantitative synthetic MRI: A phantom study. Magn Reson Imaging 2021; 78:90-97. [PMID: 33444595 DOI: 10.1016/j.mri.2021.01.001] [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: 08/06/2020] [Revised: 12/08/2020] [Accepted: 01/08/2021] [Indexed: 02/03/2023]
Abstract
INTRODUCTION Recently, three-dimensional (3D) quantitative synthetic magnetic resonance imaging (MRI), which quantifies tissue properties and creates multiple contrast-weighted images, has been enabled by 3D-quantification using an interleaved Look-Locker acquisition sequence with a T2 preparation pulse (3D-QALAS). However, the relatively long scan time has hindered its introduction into clinical practice. A hybrid of compressed sensing and parallel imaging (Compressed sensing-sensitivity encoding: CS-SENSE) can accelerate 3D-QALAS; however, whether CS-SENSE affects the quantitative values acquired by 3D-QALAS remains unexplored. Therefore, this study aimed to examine the effects of reduction factors of CS-SENSE (RCSS) on the quantitative values derived from 3D-QALAS, by assessing the signal-to-noise ratio (SNR) of the quantitative maps, as well as accuracy (linearity and bias) and repeatability of measured quantitative values. METHODS In this study, the ISMRM/NIST standardized phantom was scanned on a 1.5-T MRI scanner with 3D-QALAS using RCSS in the range between 1 and 3, with intervals of 0.2, and between 3 and 10 with intervals of 0.5. The T1, T2, and proton density (PD) values were calculated from the imaging data. For each quantitative value, the SNR, the coefficient of determination (R2) of a linear regression model, the error rate, and the within-subject coefficient of variation (wCV) were calculated for each RCSS and compared. RESULTS Within the clinically-relevant dynamic range of the brain of T1 and T2 (T1: 200-1400 ms; T2; 50-400 ms) and PD value of 15-100% calculated from 3D-QALAS, the effects of RCSS on quantitative values was small between 1 and 2.8, with SNR ≧ 10, R2 ≧ 0.9, error rate ≦ 10%, and wCV ≦ 10%, except for T2 values of 186.1 and 258.4 ms. CONCLUSIONS CS-SENSE enabled the reduction of the scan time of 3D-QALAS by 63.5% (RCSS = 2.8) while maintaining the SNR of quantitative maps and accuracy and repeatability of the quantitative values.
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Affiliation(s)
- Syo Murata
- Department of Radiology, Juntendo University Hospital, Tokyo, Japan
| | - Akifumi Hagiwara
- Department of Radiology, Juntendo University Hospital, Tokyo, Japan.
| | - Shohei Fujita
- Department of Radiology, Juntendo University Hospital, Tokyo, Japan; Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Takuya Haruyama
- Department of Radiology, Juntendo University Hospital, Tokyo, Japan
| | - Shimpei Kato
- Department of Radiology, Juntendo University Hospital, Tokyo, Japan; Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Christina Andica
- Department of Radiology, Juntendo University Hospital, Tokyo, Japan
| | - Koji Kamagata
- Department of Radiology, Juntendo University Hospital, Tokyo, Japan
| | - Masami Goto
- Department of Radiological Technology, Faculty of Health Science, Juntendo University, Tokyo, Japan
| | - Masaaki Hori
- Department of Radiology, Juntendo University Hospital, Tokyo, Japan; Department of Radiology, Toho University Omori Medical Center, Tokyo, Japan
| | | | - Nozomi Hamasaki
- Department of Radiology, Juntendo University Hospital, Tokyo, Japan
| | | | - Shigeki Aoki
- Department of Radiology, Juntendo University Hospital, Tokyo, Japan
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Cauley KA, Hu Y, Fielden SW. Pediatric Head CT: Automated Quantitative Analysis with Quantile Regression. AJNR Am J Neuroradiol 2021; 42:382-388. [PMID: 33303521 PMCID: PMC7872171 DOI: 10.3174/ajnr.a6885] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Accepted: 09/04/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND AND PURPOSE Together with quantile regression methods, such a model would have the potential for clinical utility through automated quantitative comparison of individual cases relative to their age and gender-matched peer group. Our aim was to demonstrate the automated processing of digital clinical head CT data in the development of a clinically useful model of age-related changes of the brain in the first 2 decades of life. MATERIALS AND METHODS A total of 415 (209 female) consecutive, clinical head CTs with radiographically normal findings from patients from birth through 20 years of age were retrospectively selected and subjected to automated segmentation. Brain volume, brain parenchymal fraction, brain radiodensity, and brain radiomass were assessed as a function of patient age. Statistical modeling and quantile regression were performed. RESULTS Brain volume increased from 400 cm3 at birth to 1350 cm3 at 20 years of age (>3-fold). Males had a slightly steeper growth trajectory than females, with approximately 8% difference in volume between the sexes established in the first few years of life. Brain parenchymal fraction was variable at younger than 2 years of age, stabilizing between 0.85 and 0.92 at 2-3 years of age. Brain mean radiodensity was lower at birth (24 HU) and increased through 3 years of age, after which it stabilized near 30 HU, an approximately 25% increase. The product of brain volume and mean brain radiodensity (radiomass), increased from 700 HU × mL at birth to 3900 HU × mL, a 5.6-fold increase, with approximately 5% difference between males and females at 20 years. Quantile regression enables a given metric to be interpreted relative to an age- and sex-matched peer group. CONCLUSIONS Automated segmentation of clinical head CT images permitted the generation of a reference database for quantitative analysis of pediatric and adolescent brains. Quantile regression facilitates clinical application.
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Affiliation(s)
- K A Cauley
- From the Departments of Radiology (K.A.C.)
| | - Y Hu
- Biomedical and Translational Informatics (Y.H.), Geisinger Medical Center, Danville, Pennsylvania
| | - S W Fielden
- Geisinger Autism and Developmental Medicine Institute (S.W.F.), Lewisburg, Pennsylvania
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Ji S, Yang D, Lee J, Choi SH, Kim H, Kang KM. Synthetic MRI: Technologies and Applications in Neuroradiology. J Magn Reson Imaging 2020; 55:1013-1025. [PMID: 33188560 DOI: 10.1002/jmri.27440] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2020] [Revised: 10/29/2020] [Accepted: 10/29/2020] [Indexed: 12/14/2022] Open
Abstract
Synthetic MRI is a technique that synthesizes contrast-weighted images from multicontrast MRI data. There have been advances in synthetic MRI since the technique was introduced. Although a number of synthetic MRI methods have been developed for quantifying one or more relaxometric parameters and for generating multiple contrast-weighted images, this review focuses on several methods that quantify all three relaxometric parameters (T1 , T2 , and proton density) and produce multiple contrast-weighted images. Acquisition, quantification, and image synthesis techniques are discussed for each method. We discuss the image quality and diagnostic accuracy of synthetic MRI methods and their clinical applications in neuroradiology. Based on this analysis, we highlight areas that need to be addressed for synthetic MRI to be widely implemented in the clinic. LEVEL OF EVIDENCE: 5 TECHNICAL EFFICACY STAGE: 1.
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Affiliation(s)
- Sooyeon Ji
- Electrical and Computer Engineering, Institute of Engineering Research, Seoul National University, Seoul, Republic of Korea
| | - Dongjin Yang
- Department of Radiology, Daegu Fatima Hospital, Daegu, Republic of Korea
| | - Jongho Lee
- Electrical and Computer Engineering, Institute of Engineering Research, Seoul National University, Seoul, Republic of Korea
| | - Seung Hong Choi
- Electrical and Computer Engineering, Institute of Engineering Research, Seoul National University, Seoul, Republic of Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea.,Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Hyeonjin Kim
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Koung Mi Kang
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
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29
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Goto M, Hagiwara A, Kato A, Fujita S, Hori M, Kamagata K, Sugano H, Arai H, Aoki S, Abe O, Sakamoto H, Sakano Y, Kyogoku S, Daida H. Estimation of intracranial volume: A comparative study between synthetic MRI and FSL-brain extraction tool (BET)2. J Clin Neurosci 2020; 79:178-182. [PMID: 33070892 DOI: 10.1016/j.jocn.2020.07.024] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 07/07/2020] [Accepted: 07/09/2020] [Indexed: 01/18/2023]
Abstract
Brain extraction represents an important step in numerous neuroimaging analyses. The brain extraction tool (BET)2 is a widely used deformable model-based approach for extraction of intracranial volume (ICV). The aim of this study is to estimate the ICV extraction accuracy using synthetic MR(SyMRI) method and BET2 in healthy adult participants and patients with Sturge-Weber Syndrome (SWS), including infants. 'Quantification of relaxation times and proton density by multi-echo acquisition of saturation recovery with turbo-spin-echo readout' (QRAPMASTER) with a 3.0 T magnetic resonance image (MRI) system was used for data acquisition. Statistical evaluations were performed with linear regression analysis and the Jaccard similarity coefficient (J). ICV extraction accuracy with synthetic MR method is found to be higher than BET2, for both aged healthy participants and SWS.
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Affiliation(s)
- Masami Goto
- Department of Radiological Technology, Faculty of Health Science, Juntendo University, 2-1-1 hongo, bunkyo-ku, Tokyo 113-8421, Japan.
| | - Akifumi Hagiwara
- Department of Radiology, Juntendo University School of Medicine, Japan
| | - Ayumi Kato
- Department of Radiology, Juntendo University School of Medicine, Japan; Division of Radiology, Department of Pathophysiological and Therapeutic Science, Faculty of Medicine, Tottori University, Japan
| | - Shohei Fujita
- Department of Radiology, Juntendo University School of Medicine, Japan; Department of Radiology, Graduate School of Medicine, The University of Tokyo, Japan
| | - Masaaki Hori
- Department of Radiology, Juntendo University School of Medicine, Japan; Department of Radiology, Toho University Omori Medical Center, Japan
| | - Koji Kamagata
- Department of Radiology, Juntendo University School of Medicine, Japan
| | - Hidenori Sugano
- Department of Neurosurgery, Juntendo University School of Medicine, Japan
| | - Hajime Arai
- Department of Neurosurgery, Juntendo University School of Medicine, Japan
| | - Shigeki Aoki
- Department of Radiology, Juntendo University School of Medicine, Japan
| | - Osamu Abe
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, Japan
| | - Hajime Sakamoto
- Department of Radiological Technology, Faculty of Health Science, Juntendo University, 2-1-1 hongo, bunkyo-ku, Tokyo 113-8421, Japan
| | - Yasuaki Sakano
- Department of Radiological Technology, Faculty of Health Science, Juntendo University, 2-1-1 hongo, bunkyo-ku, Tokyo 113-8421, Japan
| | - Shinsuke Kyogoku
- Department of Radiological Technology, Faculty of Health Science, Juntendo University, 2-1-1 hongo, bunkyo-ku, Tokyo 113-8421, Japan
| | - Hiroyuki Daida
- Department of Radiological Technology, Faculty of Health Science, Juntendo University, 2-1-1 hongo, bunkyo-ku, Tokyo 113-8421, Japan
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30
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Morel B, Piredda GF, Cottier JP, Tauber C, Destrieux C, Hilbert T, Sirinelli D, Thiran JP, Maréchal B, Kober T. Normal volumetric and T1 relaxation time values at 1.5 T in segmented pediatric brain MRI using a MP2RAGE acquisition. Eur Radiol 2020; 31:1505-1516. [PMID: 32885296 DOI: 10.1007/s00330-020-07194-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 07/02/2020] [Accepted: 08/13/2020] [Indexed: 10/23/2022]
Abstract
OBJECTIVES This study introduced a tailored MP2RAGE-based brain acquisition for a comprehensive assessment of the normal maturing brain. METHODS Seventy normal patients (35 girls and 35 boys) from 1 to 16 years of age were recruited within a prospective monocentric study conducted from a single University Hospital. Brain MRI examinations were performed at 1.5 T using a 20-channel head coil and an optimized 3D MP2RAGE sequence with a total acquisition time of 6:36 min. Automated 38 region segmentation was performed using the MorphoBox (template registration, bias field correction, brain extraction, and tissue classification) which underwent a major adaptation of three age-group T1-weighted templates. Volumetry and T1 relaxometry reference ranges were established using a logarithmic model and a modified Gompertz growth respectively. RESULTS Detailed automated brain segmentation and T1 mapping were successful in all patients. Using these data, an age-dependent model of normal brain maturation with respect to changes in volume and T1 relaxometry was established. After an initial rapid increase until 24 months of life, the total intracranial volume was found to converge towards 1400 mL during adolescence. The expected volumes of white matter (WM) and cortical gray matter (GM) showed a similar trend with age. After an initial major decrease, T1 relaxation times were observed to decrease progressively in all brain structures. The T1 drop in the first year of life was more pronounced in WM (from 1000-1100 to 650-700 ms) than in GM structures. CONCLUSION The 3D MP2RAGE sequence allowed to establish brain volume and T1 relaxation time normative ranges in pediatrics. KEY POINTS • The 3D MP2RAGE sequence provided a reliable quantitative assessment of brain volumes and T1 relaxation times during childhood. • An age-dependent model of normal brain maturation was established. • The normative ranges enable an objective comparison to a normal cohort, which can be useful to further understand, describe, and identify neurodevelopmental disorders in children.
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Affiliation(s)
- Baptiste Morel
- Inserm UMR 1253, iBrain, Université de Tours, Tours, France. .,Pediatric Radiology Department, Clocheville Hospital, CHRU de Tours, 49 Boulevard Beranger, 37000, Tours, France.
| | - Gian Franco Piredda
- Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland.,Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,LTS5, École Polytechnique FÉdÉrale de Lausanne (EPFL), Lausanne, Switzerland
| | | | - Clovis Tauber
- Inserm UMR 1253, iBrain, Université de Tours, Tours, France
| | | | - Tom Hilbert
- Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland.,Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,LTS5, École Polytechnique FÉdÉrale de Lausanne (EPFL), Lausanne, Switzerland
| | | | - Jean-Philippe Thiran
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,LTS5, École Polytechnique FÉdÉrale de Lausanne (EPFL), Lausanne, Switzerland
| | - Bénédicte Maréchal
- Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland.,Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,LTS5, École Polytechnique FÉdÉrale de Lausanne (EPFL), Lausanne, Switzerland
| | - Tobias Kober
- Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland.,Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,LTS5, École Polytechnique FÉdÉrale de Lausanne (EPFL), Lausanne, Switzerland
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Imaging diagnosis of ventriculomegaly: fetal, neonatal, and pediatric. Childs Nerv Syst 2020; 36:1669-1679. [PMID: 31624860 DOI: 10.1007/s00381-019-04365-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Accepted: 09/02/2019] [Indexed: 10/25/2022]
Abstract
Ventriculomegaly is the term used to describe abnormal enlargement of ventricles in the brain. Neuroimaging, whether it is by ultrasound, computed tomography, or magnetic resonance imaging, is the key to its identification and can help to diagnose its cause and guide management in many cases. The implementation of the imaging modalities and potential differential considerations varies from the fetus, infant, and pediatric patient. Here we discuss how the imaging modalities can be used in these patient populations and review some of the differential considerations.
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Vanderhasselt T, Naeyaert M, Watté N, Allemeersch GJ, Raeymaeckers S, Dudink J, de Mey J, Raeymaekers H. Synthetic MRI of Preterm Infants at Term-Equivalent Age: Evaluation of Diagnostic Image Quality and Automated Brain Volume Segmentation. AJNR Am J Neuroradiol 2020; 41:882-888. [PMID: 32299803 DOI: 10.3174/ajnr.a6533] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Accepted: 03/16/2020] [Indexed: 01/12/2023]
Abstract
BACKGROUND AND PURPOSE Neonatal MR imaging brain volume measurements can be used as biomarkers for long-term neurodevelopmental outcome, but quantitative volumetric MR imaging data are not usually available during routine radiologic evaluation. In the current study, the feasibility of automated quantitative brain volumetry and image reconstruction via synthetic MR imaging in very preterm infants was investigated. MATERIALS AND METHODS Conventional and synthetic T1WIs and T2WIs from 111 very preterm infants were acquired at term-equivalent age. Overall image quality and artifacts of the conventional and synthetic images were rated on a 4-point scale. Legibility of anatomic structures and lesion conspicuity were assessed on a binary scale. Synthetic MR volumetry was compared with that generated via MANTiS, which is a neonatal tissue segmentation toolbox based on T2WI. RESULTS Image quality was good or excellent for most conventional and synthetic images. The 2 methods did not differ significantly regarding image quality or diagnostic performance for focal and cystic WM lesions. Dice similarity coefficients had excellent overlap for intracranial volume (97.3%) and brain parenchymal volume (94.3%), and moderate overlap for CSF (75.6%). Bland-Altman plots demonstrated a small systematic bias in all cases (1.7%-5.9%) CONCLUSIONS: Synthetic T1WI and T2WI sequences may complement or replace conventional images in neonatal imaging, and robust synthetic volumetric results are accessible from a clinical workstation in less than 1 minute. Via the above-described methods, volume assessments could be routinely used in daily clinical practice.
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Affiliation(s)
- T Vanderhasselt
- From the Department of Radiology (T.V., M.N., N.W., G.-J.A., S.R., J.d.M., H.R.), Vrije Universiteit Brussels, Universitair Ziekenhuis Brussels, Brussels, Belgium
| | - M Naeyaert
- From the Department of Radiology (T.V., M.N., N.W., G.-J.A., S.R., J.d.M., H.R.), Vrije Universiteit Brussels, Universitair Ziekenhuis Brussels, Brussels, Belgium
| | - N Watté
- From the Department of Radiology (T.V., M.N., N.W., G.-J.A., S.R., J.d.M., H.R.), Vrije Universiteit Brussels, Universitair Ziekenhuis Brussels, Brussels, Belgium
| | - G-J Allemeersch
- From the Department of Radiology (T.V., M.N., N.W., G.-J.A., S.R., J.d.M., H.R.), Vrije Universiteit Brussels, Universitair Ziekenhuis Brussels, Brussels, Belgium
| | - S Raeymaeckers
- From the Department of Radiology (T.V., M.N., N.W., G.-J.A., S.R., J.d.M., H.R.), Vrije Universiteit Brussels, Universitair Ziekenhuis Brussels, Brussels, Belgium
| | - J Dudink
- Department of Neonatology (J.D.), Wilhelmina Children's Hospital/Utrecht University Medical Center, Utrecht, the Netherlands.,Rudolf Magnus Brain Center (J.D.), Utrecht University Medical Center, Utrecht, the Netherlands
| | - J de Mey
- From the Department of Radiology (T.V., M.N., N.W., G.-J.A., S.R., J.d.M., H.R.), Vrije Universiteit Brussels, Universitair Ziekenhuis Brussels, Brussels, Belgium
| | - H Raeymaekers
- From the Department of Radiology (T.V., M.N., N.W., G.-J.A., S.R., J.d.M., H.R.), Vrije Universiteit Brussels, Universitair Ziekenhuis Brussels, Brussels, Belgium
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Abstract
Purpose The purpose of this study was to assess the diagnostic accuracy of T1-weighted and T2-weighted contrasts generated by the MR data postprocessing software SyMRI (Synthetic MR AB, Linköping, Sweden) for neonatal brain imaging. Methods In this study 36 cases of neonatal MRI were retrospectively collected, which included T1-weighted and T2-weighted sequences as well as multi-dynamic multi-echo (MDME) sequences. Of the 36 neonates 32 were included in this study and 4 neuroradiologists independently assessed neonatal brain examinations on the basis of conventional and SyMRI-generated T1-weighted and T2-weighted contrasts, in order to determine the presence or absence of lesions. The sensitivity and specificity of both methods were calculated and compared. Results Compared to conventionally acquired T1 and T2-weighted images, SyMRI-generated contrasts showed a lower sensitivity but a higher specificity (SyMRI sensitivity 0.88, confidence interval (CI): 0.72–0.95; specificity 1, CI: 0.89–1/conventional MRI: sensitivity: 0.94, CI: 0.80–0.98; specificity: 0.94, CI: 0.80–0.98). Conclusion The T1-weighted and T2-weighted images generated by SyMRI showed a diagnostic accuracy comparable to that of conventionally acquired contrasts. In addition to semiquantitative imaging data, SyMRI provides diagnostic images and leads to a more efficient use of available imaging time in neonatal brain MRI.
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Di Giuliano F, Minosse S, Picchi E, Marfia GA, Da Ros V, Muto M, Muto M, Pistolese CA, Laghi A, Garaci F, Floris R. Comparison between synthetic and conventional magnetic resonance imaging in patients with multiple sclerosis and controls. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE 2019; 33:549-557. [PMID: 31782035 DOI: 10.1007/s10334-019-00804-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2019] [Revised: 10/30/2019] [Accepted: 11/18/2019] [Indexed: 12/20/2022]
Abstract
OBJECTIVES Synthetic magnetic resonance imaging (SyMRI) allows to obtain different weighted-images using the multiple-dynamic multiple-echo sequence lasting 6 min. The aim is to compare quantitatively and qualitatively synthetic- and conventional MRI in patients with multiple sclerosis (MS) and controls assessing the contrast (C), the signal to noise ratio (SNR), and the contrast to noise ratio (CNR). We evaluated the lesion count and lesion-to-white matter contrast ([Formula: see text] in the MS patients. METHODS AND METHODS 51 patients underwent synthetic- and conventional MRI. Qualitative analysis was evaluated by assigning scores to all synthetic- and conventional MRI sequences by two neuroradiologists. Lesions were counted in MS patients both in the conventional- and synthetic T2-FLAIR. Regions of interest were placed in the cerebrospinal fluid, in the white- and grey matter. For the sequences were evaluated: C, CNR, and SNR. RESULTS Synthetic T2-FLAIR images are qualitatively inferior. C and CNR were significantly higher in synthetic T1W and T2W images compared to conventional images, but not for T2-FLAIR. The SNR value was always lower in synthetic images than in conventional ones. CONCLUSIONS SyMRI can be used in clinical practice because it has a similar diagnostic accuracy which reduces the scanning time compared to the conventional one. However, synthetic T2-FLAIR images need to be improved.
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Affiliation(s)
- Francesca Di Giuliano
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy.,U.O.C Diagnostic Imaging and Neuroradiology, Department of Integrated Care Processes, Fondazione PTV Policlinico "Tor Vergata", University of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy
| | - Silvia Minosse
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy.
| | - Eliseo Picchi
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy.,U.O.C Diagnostic Imaging and Neuroradiology, Department of Integrated Care Processes, Fondazione PTV Policlinico "Tor Vergata", University of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy
| | - Girolama Alessandra Marfia
- Multiple Sclerosis Clinical and Research Unit, Department of Systems Medicine, University of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy.,Neurology Unit, Department of Neurosciences, Fondazione PTV Policlinico "Tor Vergata", University of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy
| | - Valerio Da Ros
- Department of Diagnostic Imaging and Interventional Radiology, Policlinico Tor Vergata, Viale Oxford 81, 00133, Rome, Italy
| | - Massimo Muto
- Department of Neurosciences and Reproductive and Odontostomatological Sciences, University of Naples Federico II, 80100, Naples, Italy
| | - Mario Muto
- Department of Neuroradiology, A.O.R.N. Cardarelli, 80100, Naples, Italy
| | - Chiara Adriana Pistolese
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy.,U.O.C Diagnostic Imaging and Neuroradiology, Department of Integrated Care Processes, Fondazione PTV Policlinico "Tor Vergata", University of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy
| | - Andrea Laghi
- Department of Surgical and Medical Sciences and Translational Medicine, Radiology Unit, "Sapienza" University of Rome, Sant'Andrea University Hospital, Via di Grottarossa, 1035-1039, 00189, Rome, Italy
| | - Francesco Garaci
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy.,U.O.C Diagnostic Imaging and Neuroradiology, Department of Integrated Care Processes, Fondazione PTV Policlinico "Tor Vergata", University of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy
| | - Roberto Floris
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy.,U.O.C Diagnostic Imaging and Neuroradiology, Department of Integrated Care Processes, Fondazione PTV Policlinico "Tor Vergata", University of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy
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Frassanito P, Bianchi F, Pennisi G, Massimi L, Tamburrini G, Caldarelli M. The growth of the neurocranium: literature review and implications in cranial repair. Childs Nerv Syst 2019; 35:1459-1465. [PMID: 31089851 DOI: 10.1007/s00381-019-04193-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Accepted: 05/01/2019] [Indexed: 10/26/2022]
Abstract
BACKGROUND Postnatal growth of neurocranium is prevalently completed in the first years of life, thus deeply affecting the clinical presentation and surgical management of pediatric neurosurgical conditions involving the skull. This paper aims to review the pertinent literature on the normal growth of neurocranium and critically discuss the surgical implications of this factor in cranial repair. METHODS A search of the electronic database of Pubmed was performed, using the key word "neurocranium growth", thus obtaining 217 results. Forty-six papers dealing with this topic in humans, limited to the English language, were selected. After excluding a few papers dealing with viscerocranium growth or pathological conditions not related to normal neurocranium growth 18 papers were finally included into the present review. RESULTS AND CONCLUSIONS The skull growth is very rapid in the first 2 years of life and approximates the adult volume by 7 years of age, with minimal further growth later on, which is warranted by the remodeling of the cranial bones. This factor affects the outcome of cranioplasty. Thus, it is essential to consider age in the planning phase of cranial repair, choice of the material, and critical comparison of results of different cranioplasty solutions.
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Affiliation(s)
- Paolo Frassanito
- Pediatric Neurosurgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, Largo Agostino Gemelli, 8, 00168, Rome, Italy.
| | - Federico Bianchi
- Pediatric Neurosurgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, Largo Agostino Gemelli, 8, 00168, Rome, Italy
| | - Giovanni Pennisi
- Pediatric Neurosurgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Luca Massimi
- Pediatric Neurosurgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Gianpiero Tamburrini
- Pediatric Neurosurgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Massimo Caldarelli
- Pediatric Neurosurgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
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36
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Serai SD, Dudley J, Leach JL. Comparison of whole brain segmentation and volume estimation in children and young adults using SPM and SyMRI. Clin Imaging 2019; 57:77-82. [DOI: 10.1016/j.clinimag.2019.05.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Revised: 05/03/2019] [Accepted: 05/17/2019] [Indexed: 11/29/2022]
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37
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Schmidbauer V, Geisl G, Diogo M, Weber M, Goeral K, Klebermass-Schrehof K, Berger A, Prayer D, Kasprian G. SyMRI detects delayed myelination in preterm neonates. Eur Radiol 2019; 29:7063-7072. [PMID: 31286188 PMCID: PMC6828642 DOI: 10.1007/s00330-019-06325-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Revised: 05/28/2019] [Accepted: 06/12/2019] [Indexed: 12/16/2022]
Abstract
OBJECTIVES The software "SyMRI" generates different MR contrasts and characterizes tissue properties based on a single acquisition of a multi-dynamic multi-echo (MDME)-FLAIR sequence. The aim of this study was to assess the applicability of "SyMRI" in the assessment of myelination in preterm and term-born neonates. Furthermore, "SyMRI" was compared with conventional MRI. METHODS A total of 30 preterm and term-born neonates were examined at term-equivalent age using a standardized MRI protocol. MDME sequence (acquisition time, 5 min, 24 s)-based post-processing was performed using "SyMRI". Myelination was assessed by scoring seven brain regions on quantitative T1-/T2-maps, generated by "SyMRI" and on standard T1-/T2-weighted images, acquired separately. Analysis of covariance (ANCOVA) (covariate, gestational age (GA) at MRI (GAMRI)) was used for group comparison. RESULTS In 25/30 patients (83.3%) (18 preterm and seven term-born neonates), "SyMRI" acquisitions were successfully performed. "SyMRI"-based myelination scores were significantly lower in preterm compared with term-born neonates (ANCOVA: T1: F(1, 22) = 7.420, p = 0.012; T2: F(1, 22) = 5.658, p = 0.026). "SyMRI"-based myelination scores positively correlated with GAMRI (T1: r = 0.662, n = 25, p ≤ 0.001; T2: r = 0.676, n = 25, p ≤ 0.001). The myelination scores based on standard MRI did not correlate with the GAMRI. No significant differences between preterm and term-born neonates were detectable. CONCLUSIONS "SyMRI" is a highly promising MR technique for neonatal brain imaging. "SyMRI" is superior to conventional MR sequences in the visual detection of delayed myelination in preterm neonates. KEY POINTS • By providing multiple MR contrasts, "SyMRI" is a time-saving method in neonatal brain imaging. • Differences concerning the myelination in term-born and preterm infants are visually detectable on T1-/T2-weighted maps generated by "SyMRI". • "SyMRI" allows a faster and more sensitive assessment of myelination compared with standard MR sequences.
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Affiliation(s)
- Victor Schmidbauer
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Gudrun Geisl
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Mariana Diogo
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Michael Weber
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Katharina Goeral
- Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Katrin Klebermass-Schrehof
- Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Angelika Berger
- Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Daniela Prayer
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Gregor Kasprian
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
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38
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Andica C, Hagiwara A, Hori M, Haruyama T, Fujita S, Maekawa T, Kamagata K, Yoshida MT, Suzuki M, Sugano H, Arai H, Aoki S. Aberrant myelination in patients with Sturge-Weber syndrome analyzed using synthetic quantitative magnetic resonance imaging. Neuroradiology 2019; 61:1055-1066. [DOI: 10.1007/s00234-019-02250-9] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2019] [Accepted: 06/19/2019] [Indexed: 12/16/2022]
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39
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Krishnamurthy R, Wang DJJ, Cervantes B, McAllister A, Nelson E, Karampinos DC, Hu HH. Recent Advances in Pediatric Brain, Spine, and Neuromuscular Magnetic Resonance Imaging Techniques. Pediatr Neurol 2019; 96:7-23. [PMID: 31023603 DOI: 10.1016/j.pediatrneurol.2019.03.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2018] [Revised: 02/25/2019] [Accepted: 03/03/2019] [Indexed: 12/21/2022]
Abstract
Magnetic resonance imaging (MRI) is a powerful radiologic tool with the ability to generate a variety of proton-based signal contrast from tissues. Owing to this immense flexibility in signal generation, new MRI techniques are constantly being developed, tested, and optimized for clinical utility. In addition, the safe and nonionizing nature of MRI makes it a suitable modality for imaging in children. In this review article, we summarize a few of the most popular advances in MRI techniques in recent years. In particular, we highlight how these new developments have affected brain, spine, and neuromuscular imaging and focus on their applications in pediatric patients. In the first part of the review, we discuss new approaches such as multiphase and multidelay arterial spin labeling for quantitative perfusion and angiography of the brain, amide proton transfer MRI of the brain, MRI of brachial plexus and lumbar plexus nerves (i.e., neurography), and T2 mapping and fat characterization in neuromuscular diseases. In the second part of the review, we focus on describing new data acquisition strategies in accelerated MRI aimed collectively at reducing the scan time, including simultaneous multislice imaging, compressed sensing, synthetic MRI, and magnetic resonance fingerprinting. In discussing the aforementioned, the review also summarizes the advantages and disadvantages of each method and their current state of commercial availability from MRI vendors.
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Affiliation(s)
| | - Danny J J Wang
- Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Barbara Cervantes
- Department of Diagnostic and Interventional Radiology, Technische Universität München, Munich, Germany
| | | | - Eric Nelson
- Center for Biobehavioral Health, Nationwide Children's Hospital, Columbus, Ohio
| | - Dimitrios C Karampinos
- Department of Diagnostic and Interventional Radiology, Technische Universität München, Munich, Germany
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40
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Review of synthetic MRI in pediatric brains: Basic principle of MR quantification, its features, clinical applications, and limitations. J Neuroradiol 2019; 46:268-275. [DOI: 10.1016/j.neurad.2019.02.005] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Revised: 09/11/2018] [Accepted: 02/06/2019] [Indexed: 12/22/2022]
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41
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Gray Matter Alterations in Early and Late Relapsing-Remitting Multiple Sclerosis Evaluated with Synthetic Quantitative Magnetic Resonance Imaging. Sci Rep 2019; 9:8147. [PMID: 31148572 PMCID: PMC6544650 DOI: 10.1038/s41598-019-44615-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Accepted: 05/21/2019] [Indexed: 12/16/2022] Open
Abstract
Extensive gray matter (GM) involvement has been demonstrated in multiple sclerosis (MS) patients. This study was aimed to identify GM alterations in relapsing-remitting MS (RRMS) patients using synthetic quantitative MRI (qMRI). We assessed myelin volume fraction (MVF) in each voxel on the basis of R1 and R2 relaxation rates and proton density in 14 early and 28 late (disease duration ≤5 and >5 years, respectively) RRMS patients, and 15 healthy controls (HCs). The MVF and myelin volumes of GM (GM-MyVol) were compared between groups using GM-based spatial statistics (GBSS) and the Kruskal-Wallis test, respectively. Correlations between MVF or GM-MyVol and disease duration or expanded disability status scale were also evaluated. RRMS patients showed a lower MVF than HCs, predominantly in the limbic and para-limbic areas, with more extensive areas noted in late RRMS patients. Late-RRMS patients had the smallest GM-MyVol (20.44 mL; early RRMS, 22.77 mL; HCs, 23.36 mL). Furthermore, the GM-MyVol in the RRMS group was inversely correlated with disease duration (r = -0.43, p = 0.005). In conclusion, the MVF and MyVol obtained by synthetic qMRI can be used to evaluate GM differences in RRMS patients.
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Abstract
Synthetic magnetic resonance imaging is a novel imaging technique that allows generating multiple contrast-weighted images based on relaxivity measurements of tissue properties in a single acquisition using a multiecho, multidelay saturation recovery spin-echo sequence. The synthetic images can be generated postacquisition from the parametric tissue maps, which can be beneficial to reduce scan time and improve patient throughput. Based on relaxometry maps, synthetic magnetic resonance imaging can also perform brain tissue segmentation and myelin quantification without additional scan time. The quantitative analysis may have implications for understanding and monitoring of the evolution of the maturation process. Similarly, the myelination process is vitally important to central nervous system functioning. Measuring myelin volume could provide relevant information for the diagnosis and treatment of patients with myelination disorders.
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43
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Lorio S, Tierney TM, McDowell A, Arthurs OJ, Lutti A, Weiskopf N, Carmichael DW. Flexible proton density (PD) mapping using multi-contrast variable flip angle (VFA) data. Neuroimage 2018; 186:464-475. [PMID: 30465865 DOI: 10.1016/j.neuroimage.2018.11.023] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2018] [Revised: 11/13/2018] [Accepted: 11/16/2018] [Indexed: 12/13/2022] Open
Abstract
Quantitative proton density (PD) maps measure the amount of free water, which is important for non-invasive tissue characterization in pathology and across lifespan. PD mapping requires the estimation and subsequent removal of factors influencing the signal intensity other than PD. These factors include the T1, T2* relaxation effects, transmit field inhomogeneities, receiver coil sensitivity profile (RP) and the spatially invariant factor that is required to scale the data. While the transmit field can be reliably measured, the RP estimation is usually based on image post-processing techniques due to limitations of its measurement at magnetic fields higher than 1.5 T. The post-processing methods are based on unified bias-field/tissue segmentation, fitting the sensitivity profile from images obtained with different coils, or on the linear relationship between T1 and PD. The scaling factor is derived from the signal within a specific tissue compartment or reference object. However, these approaches for calculating the RP and scaling factor have limitations particularly in severe pathology or over a wide age range, restricting their application. We propose a new approach for PD mapping based on a multi-contrast variable flip angle acquisition protocol and a data-driven estimation method for the RP correction and map scaling. By combining all the multi-contrast data acquired at different echo times, we are able to fully correct the MRI signal for T2* relaxation effects and to decrease the variance and the entropy of PD values within tissue class of the final map. The RP is determined from the corrected data applying a non-parametric bias estimation, and the scaling factor is based on the median intensity of an external calibration object. Finally, we compare the signal intensity and homogeneity of the multi-contrast PD map with the well-established effective PD (PD*) mapping, for which the RP is based on concurrent bias field estimation and tissue classification, and the scaling factor is estimated from the mean white matter signal. The multi-contrast PD values homogeneity and accuracy within the cerebrospinal fluid (CSF) and deep brain structures are increased beyond that obtained using PD* maps. We demonstrate that the multi-contrast RP approach is insensitive to anatomical or a priori tissue information by applying it in a patient with extensive brain abnormalities and for whole body PD mapping in post-mortem foetal imaging.
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Affiliation(s)
- Sara Lorio
- UCL Great Ormond Street Institute of Child Health, University College London, London, UK.
| | - Tim M Tierney
- Wellcome Centre for Human Neuroimaging, UCL Institute of Neurology, University College London, London, UK
| | - Amy McDowell
- UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Owen J Arthurs
- UCL Great Ormond Street Institute of Child Health, University College London, London, UK; Department of Radiology, Great Ormond Street Hospital for Children, London, UK
| | - Antoine Lutti
- Laboratory for Research in Neuroimaging, Department of Clinical Neuroscience, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Nikolaus Weiskopf
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - David W Carmichael
- UCL Great Ormond Street Institute of Child Health, University College London, London, UK; EPSRC / Wellcome Centre for Medical Engineering, Biomedical Engineering, King's College, London, UK
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Vargas MI, Drake-Pérez M, Delattre BMA, Boto J, Lovblad KO, Boudabous S. Feasibility of a Synthetic MR Imaging Sequence for Spine Imaging. AJNR Am J Neuroradiol 2018; 39:1756-1763. [PMID: 30072367 DOI: 10.3174/ajnr.a5728] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2018] [Accepted: 05/29/2018] [Indexed: 02/06/2023]
Abstract
BACKGROUND AND PURPOSE Synthetic MR imaging is a method that can produce multiple contrasts from a single sequence, as well as quantitative maps. Our aim was to determine the feasibility of a synthetic MR image for spine imaging. MATERIALS AND METHODS Thirty-eight patients with clinical indications of infectious, degenerative, and neoplastic disease underwent an MR imaging of the spine (11 cervical, 8 dorsal, and 19 lumbosacral MR imaging studies). The SyntAc sequence, with an acquisition time of 5 minutes 40 seconds, was added to the usual imaging protocol consisting of conventional sagittal T1 TSE, T2 TSE, and STIR TSE. RESULTS Synthetic T1-weighted, T2-weighted, and STIR images were of adequate quality, and the acquisition time was 53% less than with conventional MR imaging. The image quality was rated as "good" for both synthetic and conventional images. Interreader agreement concerning lesion conspicuity was good with a Cohen κ of 0.737. Artifacts consisting of white pixels/spike noise across contrast views, as well as flow artifacts, were more common in the synthetic sequences, particularly in synthetic STIR. There were no statistically significant differences between readers concerning the scores assigned for image quality or lesion conspicuity. CONCLUSIONS Our study shows that synthetic MR imaging is feasible in spine imaging and produces, in general, good image quality and diagnostic confidence. Furthermore, the non-negligible time savings and the ability to obtain quantitative measurements as well as to generate several contrasts with a single acquisition should promise a bright future for synthetic MR imaging in clinical routine.
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Affiliation(s)
- M I Vargas
- From the Division of Diagnostic and Interventional Neuroradiology (M.I.V., J.B., K.-O.L.), Geneva University Hospitals and Faculty of Medicine of Geneva, Geneva, Switzerland
| | - M Drake-Pérez
- Department of Radiology (M.D.-P.), University Hospital Marqués de Valdecilla, IDIVAL, Santander, Spain
| | - B M A Delattre
- Division of Radiology (B.M.A.D., S.B.), Geneva University Hospitals, Geneva, Switzerland
| | - J Boto
- From the Division of Diagnostic and Interventional Neuroradiology (M.I.V., J.B., K.-O.L.), Geneva University Hospitals and Faculty of Medicine of Geneva, Geneva, Switzerland
| | - K-O Lovblad
- From the Division of Diagnostic and Interventional Neuroradiology (M.I.V., J.B., K.-O.L.), Geneva University Hospitals and Faculty of Medicine of Geneva, Geneva, Switzerland
| | - S Boudabous
- Division of Radiology (B.M.A.D., S.B.), Geneva University Hospitals, Geneva, Switzerland
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Hagiwara A, Hori M, Kamagata K, Warntjes M, Matsuyoshi D, Nakazawa M, Ueda R, Andica C, Koshino S, Maekawa T, Irie R, Takamura T, Kumamaru KK, Abe O, Aoki S. Myelin Measurement: Comparison Between Simultaneous Tissue Relaxometry, Magnetization Transfer Saturation Index, and T 1w/T 2w Ratio Methods. Sci Rep 2018; 8:10554. [PMID: 30002497 PMCID: PMC6043493 DOI: 10.1038/s41598-018-28852-6] [Citation(s) in RCA: 82] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2018] [Accepted: 07/02/2018] [Indexed: 01/06/2023] Open
Abstract
Magnetization transfer (MT) imaging has been widely used for estimating myelin content in the brain. Recently, two other approaches, namely simultaneous tissue relaxometry of R1 and R2 relaxation rates and proton density (SyMRI) and the ratio of T1-weighted to T2-weighted images (T1w/T2w ratio), were also proposed as methods for measuring myelin. SyMRI and MT imaging have been reported to correlate well with actual myelin by histology. However, for T1w/T2w ratio, such evidence is limited. In 20 healthy adults, we examined the correlation between these three methods, using MT saturation index (MTsat) for MT imaging. After calibration, white matter (WM) to gray matter (GM) contrast was the highest for SyMRI among these three metrics. Even though SyMRI and MTsat showed strong correlation in the WM (r = 0.72), only weak correlation was found between T1w/T2w and SyMRI (r = 0.45) or MTsat (r = 0.38) (correlation coefficients significantly different from each other, with p values < 0.001). In subcortical and cortical GM, these measurements showed moderate to strong correlations to each other (r = 0.54 to 0.78). In conclusion, the high correlation between SyMRI and MTsat indicates that both methods are similarly suited to measure myelin in the WM, whereas T1w/T2w ratio may be less optimal.
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Affiliation(s)
- Akifumi Hagiwara
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan.
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
| | - Masaaki Hori
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
| | - Koji Kamagata
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
| | - Marcel Warntjes
- SyntheticMR AB, Linköping, Sweden
- Center for Medical Imaging Science and Visualization (CMIV), Linköping, Sweden
| | - Daisuke Matsuyoshi
- Araya Inc., Tokyo, Japan
- Research Institute for Science and Engineering, Waseda University, Waseda, Japan
- Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan
| | - Misaki Nakazawa
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
| | - Ryo Ueda
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
- Department of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan
- Office of Radiation Technology, Keio University Hospital, Tokyo, Japan
| | - Christina Andica
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
| | - Saori Koshino
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Tomoko Maekawa
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Ryusuke Irie
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Tomohiro Takamura
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
| | | | - Osamu Abe
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Shigeki Aoki
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
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