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Xie Y, Zhang Y, Wu S, Zhang S, Zhu H, Zhu W, Wang Y. Atrophy-Independent and Dependent Iron and Myelin Changes in Deep Gray Matter of Multiple Sclerosis: A Longitudinal Study Using χ-Separation Imaging. Acad Radiol 2024:S1076-6332(24)00464-1. [PMID: 39084936 DOI: 10.1016/j.acra.2024.07.031] [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: 06/10/2024] [Revised: 07/15/2024] [Accepted: 07/16/2024] [Indexed: 08/02/2024]
Abstract
RATIONALE AND OBJECTIVES To investigate iron and myelin changes in deep gray matter (DGM) of relapsing-remitting multiple sclerosis (RRMS) patients and their relationship to atrophy by χ-separation imaging. MATERIALS AND METHODS 33 RRMS patients and 34 healthy controls (HC) were included in this study. The χ-separation map reconstructed from a 3D multi-echo gradient echo scan was used to measure the positive susceptibility (χpos) and negative susceptibility (χneg) of DGM. To take into account the effect of atrophy, susceptibility mass of DGM was calculated by multiplying volume by the mean bulk susceptibility. Differences in MRI metrics between baseline patients, follow-up patients, and HC were compared respectively. RESULTS Compared to HC, χpos of basal ganglia were significantly increased in follow-up patients (P < 0.05). The χpos of pallidum was significantly higher in follow-up patients than that in baseline patients (P = 0.006). The χneg of caudate, pallidum and hippocampus in baseline and follow-up patients was significantly higher than that in HC (P < 0.05). When taking into account the effect of atrophy, there was a significant decrease in χpos mass and a significant increase in χneg mass of thalamus, accumbens and amygdala in follow-up patients compared to HC (P < 0.05). The χpos mass of the thalamus was further decreased in follow-up patients compared to baseline patients (P = 0.006). CONCLUSION χ-separation imaging could generate independent information on iron and myelin changes in RRMS patients, showing atrophy-dependent iron increase in basal ganglia and atrophy-independent iron and myelin decrease in thalamus.
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Affiliation(s)
- Yan Xie
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Zhang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shaolong Wu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shun Zhang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongquan Zhu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wenzhen Zhu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Yi Wang
- Department of Radiology, Weill Cornell Medicine, New York, New York, USA; Department of Biomedical Engineering, Cornell University, Ithaca, New York, USA
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Voon CC, Wiltgen T, Wiestler B, Schlaeger S, Mühlau M. Quantitative susceptibility mapping in multiple sclerosis: A systematic review and meta-analysis. Neuroimage Clin 2024; 42:103598. [PMID: 38582068 PMCID: PMC11002889 DOI: 10.1016/j.nicl.2024.103598] [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: 12/21/2023] [Revised: 03/07/2024] [Accepted: 03/24/2024] [Indexed: 04/08/2024]
Abstract
BACKGROUND Quantitative susceptibility mapping (QSM) is a quantitative measure based on magnetic resonance imaging sensitive to iron and myelin content. This makes QSM a promising non-invasive tool for multiple sclerosis (MS) in research and clinical practice. OBJECTIVE We performed a systematic review and meta-analysis on the use of QSM in MS. METHODS Our review was prospectively registered on PROSPERO (CRD42022309563). We searched five databases for studies published between inception and 30th April 2023. We identified 83 English peer-reviewed studies that applied QSM images on MS cohorts. Fifty-five included studies had at least one of the following outcome measures: deep grey matter QSM values in MS, either compared to healthy controls (HC) (k = 13) or correlated with the score on the Expanded Disability Status Scale (EDSS) (k = 7), QSM lesion characteristics (k = 22) and their clinical correlates (k = 17), longitudinal correlates (k = 11), histological correlates (k = 7), or correlates with other imaging techniques (k = 12). Two meta-analyses on deep grey matter (DGM) susceptibility data were performed, while the remaining findings could only be analyzed descriptively. RESULTS After outlier removal, meta-analyses demonstrated a significant increase in the basal ganglia susceptibility (QSM values) in MS compared to HC, caudate (k = 9, standardized mean difference (SDM) = 0.54, 95 % CI = 0.39-0.70, I2 = 46 %), putamen (k = 9, SDM = 0.38, 95 % CI = 0.19-0.57, I2 = 59 %), and globus pallidus (k = 9, SDM = 0.48, 95 % CI = 0.28-0.67, I2 = 60 %), whereas thalamic QSM values exhibited a significant reduction (k = 12, SDM = -0.39, 95 % CI = -0.66--0.12, I2 = 84 %); these susceptibility differences in MS were independent of age. Further, putamen QSM values positively correlated with EDSS (k = 4, r = 0.36, 95 % CI = 0.16-0.53, I2 = 0 %). Regarding rim lesions, four out of seven studies, representing 73 % of all patients, reported rim lesions to be associated with more severe disability. Moreover, lesion development from initial detection to the inactive stage is paralleled by increasing, plateauing (after about two years), and gradually decreasing QSM values, respectively. Only one longitudinal study provided clinical outcome measures and found no association. Histological data suggest iron content to be the primary source of QSM values in DGM and at the edges of rim lesions; further, when also considering data from myelin water imaging, the decrease of myelin is likely to drive the increase of QSM values within WM lesions. CONCLUSIONS We could provide meta-analytic evidence for DGM susceptibility changes in MS compared to HC; basal ganglia susceptibility is increased and, in the putamen, associated with disability, while thalamic susceptibility is decreased. Beyond these findings, further investigations are necessary to establish the role of QSM in MS for research or even clinical routine.
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Affiliation(s)
- Cui Ci Voon
- Dept. of Neurology, School of Medicine and Health, Technical University of Munich, Munich, Germany; TUM-Neuroimaging Center, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Tun Wiltgen
- Dept. of Neurology, School of Medicine and Health, Technical University of Munich, Munich, Germany; TUM-Neuroimaging Center, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Benedikt Wiestler
- Dept. of Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Sarah Schlaeger
- Dept. of Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Mark Mühlau
- Dept. of Neurology, School of Medicine and Health, Technical University of Munich, Munich, Germany; TUM-Neuroimaging Center, School of Medicine and Health, Technical University of Munich, Munich, Germany.
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3
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Domínguez D JF, Stewart A, Burmester A, Akhlaghi H, O'Brien K, Bollmann S, Caeyenberghs K. Improving quantitative susceptibility mapping for the identification of traumatic brain injury neurodegeneration at the individual level. Z Med Phys 2024:S0939-3889(24)00001-1. [PMID: 38336583 DOI: 10.1016/j.zemedi.2024.01.001] [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: 06/02/2023] [Revised: 12/19/2023] [Accepted: 01/07/2024] [Indexed: 02/12/2024]
Abstract
BACKGROUND Emerging evidence suggests that traumatic brain injury (TBI) is a major risk factor for developing neurodegenerative disease later in life. Quantitative susceptibility mapping (QSM) has been used by an increasing number of studies in investigations of pathophysiological changes in TBI. However, generating artefact-free quantitative susceptibility maps in brains with large focal lesions, as in the case of moderate-to-severe TBI (ms-TBI), is particularly challenging. To address this issue, we utilized a novel two-pass masking technique and reconstruction procedure (two-pass QSM) to generate quantitative susceptibility maps (QSMxT; Stewart et al., 2022, Magn Reson Med.) in combination with the recently developed virtual brain grafting (VBG) procedure for brain repair (Radwan et al., 2021, NeuroImage) to improve automated delineation of brain areas. We used QSMxT and VBG to generate personalised QSM profiles of individual patients with reference to a sample of healthy controls. METHODS Chronic ms-TBI patients (N = 8) and healthy controls (N = 12) underwent (multi-echo) GRE, and anatomical MRI (MPRAGE) on a 3T Siemens PRISMA scanner. We reconstructed the magnetic susceptibility maps using two-pass QSM from QSMxT. We then extracted values of magnetic susceptibility in grey matter (GM) regions (following brain repair via VBG) across the whole brain and determined if they deviate from a reference healthy control group [Z-score < -3.43 or > 3.43, relative to the control mean], with the aim of obtaining personalised QSM profiles. RESULTS Using two-pass QSM, we achieved susceptibility maps with a substantial increase in quality and reduction in artefacts irrespective of the presence of large focal lesions, compared to single-pass QSM. In addition, VBG minimised the loss of GM regions and exclusion of patients due to failures in the region delineation step. Our findings revealed deviations in magnetic susceptibility measures from the HC group that differed across individual TBI patients. These changes included both increases and decreases in magnetic susceptibility values in multiple GM regions across the brain. CONCLUSIONS We illustrate how to obtain magnetic susceptibility values at the individual level and to build personalised QSM profiles in ms-TBI patients. Our approach opens the door for QSM investigations in more severely injured patients. Such profiles are also critical to overcome the inherent heterogeneity of clinical populations, such as ms-TBI, and to characterize the underlying mechanisms of neurodegeneration at the individual level more precisely. Moreover, this new personalised QSM profiling could in the future assist clinicians in assessing recovery and formulating a neuroscience-guided integrative rehabilitation program tailored to individual TBI patients.
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Affiliation(s)
- Juan F Domínguez D
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia.
| | - Ashley Stewart
- School of Information Technology and Electrical Engineering, Faculty of Engineering, Architecture, and Information Technology, The University of Queensland, Brisbane, Australia
| | - Alex Burmester
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia
| | - Hamed Akhlaghi
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia; Department of Emergency Medicine, St. Vincent's Hospital, Melbourne, Australia
| | - Kieran O'Brien
- Siemens Healthcare Pty Ltd, Brisbane, Queensland, Australia
| | - Steffen Bollmann
- School of Information Technology and Electrical Engineering, Faculty of Engineering, Architecture, and Information Technology, The University of Queensland, Brisbane, Australia; Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia
| | - Karen Caeyenberghs
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia
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Madden DJ, Merenstein JL. Quantitative susceptibility mapping of brain iron in healthy aging and cognition. Neuroimage 2023; 282:120401. [PMID: 37802405 PMCID: PMC10797559 DOI: 10.1016/j.neuroimage.2023.120401] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 09/14/2023] [Accepted: 09/30/2023] [Indexed: 10/10/2023] Open
Abstract
Quantitative susceptibility mapping (QSM) is a magnetic resonance imaging (MRI) technique that can assess the magnetic properties of cerebral iron in vivo. Although brain iron is necessary for basic neurobiological functions, excess iron content disrupts homeostasis, leads to oxidative stress, and ultimately contributes to neurodegenerative disease. However, some degree of elevated brain iron is present even among healthy older adults. To better understand the topographical pattern of iron accumulation and its relation to cognitive aging, we conducted an integrative review of 47 QSM studies of healthy aging, with a focus on five distinct themes. The first two themes focused on age-related increases in iron accumulation in deep gray matter nuclei versus the cortex. The overall level of iron is higher in deep gray matter nuclei than in cortical regions. Deep gray matter nuclei vary with regard to age-related effects, which are most prominent in the putamen, and age-related deposition of iron is also observed in frontal, temporal, and parietal cortical regions during healthy aging. The third theme focused on the behavioral relevance of iron content and indicated that higher iron in both deep gray matter and cortical regions was related to decline in fluid (speed-dependent) cognition. A handful of multimodal studies, reviewed in the fourth theme, suggest that iron interacts with imaging measures of brain function, white matter degradation, and the accumulation of neuropathologies. The final theme concerning modifiers of brain iron pointed to potential roles of cardiovascular, dietary, and genetic factors. Although QSM is a relatively recent tool for assessing cerebral iron accumulation, it has significant promise for contributing new insights into healthy neurocognitive aging.
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Affiliation(s)
- David J Madden
- Brain Imaging and Analysis Center, Duke University Medical Center, Box 3918, Durham, NC 27710, USA; Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC 27710, USA; Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, USA.
| | - Jenna L Merenstein
- Brain Imaging and Analysis Center, Duke University Medical Center, Box 3918, Durham, NC 27710, USA
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5
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Fiscone C, Rundo L, Lugaresi A, Manners DN, Allinson K, Baldin E, Vornetti G, Lodi R, Tonon C, Testa C, Castelli M, Zaccagna F. Assessing robustness of quantitative susceptibility-based MRI radiomic features in patients with multiple sclerosis. Sci Rep 2023; 13:16239. [PMID: 37758804 PMCID: PMC10533494 DOI: 10.1038/s41598-023-42914-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 09/16/2023] [Indexed: 09/29/2023] Open
Abstract
Multiple Sclerosis (MS) is an autoimmune demyelinating disease characterised by changes in iron and myelin content. These biomarkers are detectable by Quantitative Susceptibility Mapping (QSM), an advanced Magnetic Resonance Imaging technique detecting magnetic properties. When analysed with radiomic techniques that exploit its intrinsic quantitative nature, QSM may furnish biomarkers to facilitate early diagnosis of MS and timely assessment of progression. In this work, we explore the robustness of QSM radiomic features by varying the number of grey levels (GLs) and echo times (TEs), in a sample of healthy controls and patients with MS. We analysed the white matter in total and within six clinically relevant tracts, including the cortico-spinal tract and the optic radiation. After optimising the number of GLs (n = 64), at least 65% of features were robust for each Volume of Interest (VOI), with no difference (p > .05) between left and right hemispheres. Different outcomes in feature robustness among the VOIs depend on their characteristics, such as volume and variance of susceptibility values. This study validated the processing pipeline for robustness analysis and established the reliability of QSM-based radiomics features against GLs and TEs. Our results provide important insights for future radiomics studies using QSM in clinical applications.
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Affiliation(s)
- Cristiana Fiscone
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Leonardo Rundo
- Department of Information and Electrical Engineering and Applied Mathematics, University of Salerno, Fisciano, Italy
| | - Alessandra Lugaresi
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
- UOSI Riabilitazione Sclerosi Multipla, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - David Neil Manners
- Department for Life Quality Sciences, University of Bologna, Bologna, Italy
- Functional and Molecular Neuroimaging Unit, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Kieren Allinson
- Department of Histopathology, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Elisa Baldin
- Epidemiology and Statistics Unit, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Gianfranco Vornetti
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
- Functional and Molecular Neuroimaging Unit, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Raffaele Lodi
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
- Functional and Molecular Neuroimaging Unit, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Caterina Tonon
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
- Functional and Molecular Neuroimaging Unit, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Claudia Testa
- Department of Physics and Astronomy, University of Bologna, Bologna, Italy.
| | - Mauro Castelli
- NOVA Information Management School (NOVA IMS), Universidade NOVA de Lisboa, Campus de Campolide, 1070-312, Lisbon, Portugal
| | - Fulvio Zaccagna
- Department of Imaging, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, United Kingdom
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom
- Investigative Medicine Division, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
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6
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Bordin V, Pirastru A, Bergsland N, Cazzoli M, Baselli G, Baglio F. Optimal echo times for quantitative susceptibility mapping: A test-retest study on basal ganglia and subcortical brain nuclei. Neuroimage 2023; 278:120272. [PMID: 37437701 DOI: 10.1016/j.neuroimage.2023.120272] [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: 04/13/2023] [Revised: 06/16/2023] [Accepted: 07/09/2023] [Indexed: 07/14/2023] Open
Abstract
Quantitative Susceptibility Mapping (QSM) is a recent MRI-technique able to quantify the bulk magnetic susceptibility of myelin, iron, and calcium in the brain. Its variability across different acquisition parameters has prompted the need for standardisation across multiple centres and MRI vendors. However, a high level of agreement between repeated imaging acquisitions is equally important. With this study we aimed to assess the inter-scan repeatability of an optimised multi-echo GRE sequence in 28 healthy volunteers. We extracted and compared the susceptibility measures from the scan and rescan acquisitions across 7 bilateral brain regions (i.e., 14 regions of interest (ROIs)) relevant for neurodegeneration. Repeatability was first assessed while reconstructing QSM with a fixed number of echo times (i.e., 8). Excellent inter-scan repeatability was found for putamen, globus pallidus and caudate nucleus, while good performance characterised the remaining structures. An increased variability was instead noted for small ROIs like red nucleus and substantia nigra. Secondly, we assessed the impact exerted on repeatability by the number of echoes used to derive QSM maps. Results were impacted by this parameter, especially in smaller regions. Larger brain structures, on the other hand, showed more consistent performance. Nevertheless, with either 8 or 7 echoes we managed to obtain good inter-scan repeatability on almost all ROIs. These findings indicate that the designed acquisition/reconstruction protocol has wide applicability, particularly in clinical or research settings involving longitudinal acquisitions (e.g. rehabilitation studies).
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Affiliation(s)
- Valentina Bordin
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
| | - Alice Pirastru
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy; IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | - Niels Bergsland
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy; Department of Neurology, Buffalo Neuroimaging Analysis Center, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, United States
| | - Marta Cazzoli
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | - Giuseppe Baselli
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy
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7
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Su Y, Wu W, Qin Z, Li C, Zhao J, Kang J, Wang Y, Zheng C, Haacke EM, Wang L. Deep gray matters iron deposition is positively associated with white matter hyperintensity in hypertension. J Clin Hypertens (Greenwich) 2023; 25:768-777. [PMID: 37491795 PMCID: PMC10423754 DOI: 10.1111/jch.14694] [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: 04/27/2023] [Revised: 06/20/2023] [Accepted: 06/20/2023] [Indexed: 07/27/2023]
Abstract
The association and underlying mechanisms between iron deposition and white matter hyperintensity (WMH) remain unclear. In this study, quantitative susceptibility mapping (QSM) was used to quantify deep gray matters iron deposition and to explore the association from both global and regional perspectives. A total of 84 patients with hypertension and 26 healthy controls underwent a strategically acquired gradient echo (STAGE) protocol, and the multi-echo data were used to reconstruct QSM images. The susceptibilities were used to describe iron content. Global region (RI) susceptibilities were measured in regions of interest, and age-related thresholds were used to determine high-iron content region (RII) susceptibilities. Compared with healthy controls, hypertension had higher total WMH scores and regional scores (all p = .001) and higher susceptibilities using the RI or RII analysis (all p < .05). In healthy controls, there was no significant association between susceptibilities and WMH scores. In hypertension, the susceptibilities of deep gray matters were positively correlated with WMH scores (RI analysis: right putamen; RII analysis: bilateral caudate nucleus head, putamen, red nucleus, substantia nigra, and dentate nucleus; age and education corrected p < .05). These findings suggest that iron deposition in deep gray matters was positively associated with WMH in hypertension, especially using the RII analysis.
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Affiliation(s)
- Yu Su
- Department of RadiologyUnion Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
- Hubei Province Key Laboratory of Molecular ImagingWuhanChina
| | - Wenjun Wu
- Department of RadiologyUnion Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
- Hubei Province Key Laboratory of Molecular ImagingWuhanChina
| | - Ziji Qin
- Department of RadiologyThe People's Hospital of Guangxi Zhuang Autonomous RegionNanningChina
| | - Chungao Li
- Department of RadiologyUnion Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
- Hubei Province Key Laboratory of Molecular ImagingWuhanChina
| | - Jie Zhao
- Department of RadiologyUnion Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
- Hubei Province Key Laboratory of Molecular ImagingWuhanChina
| | - Jiamin Kang
- Department of RadiologyUnion Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
- Hubei Province Key Laboratory of Molecular ImagingWuhanChina
| | - Youzhi Wang
- Department of RadiologyUnion Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
- Hubei Province Key Laboratory of Molecular ImagingWuhanChina
| | - Chuansheng Zheng
- Department of RadiologyUnion Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
- Hubei Province Key Laboratory of Molecular ImagingWuhanChina
| | - Ewart Mark Haacke
- Magnetic Resonance InnovationsBingham FarmsMichiganUSA
- Department of RadiologyWayne State UniversityDetroitMichiganUSA
| | - Lixia Wang
- Department of RadiologyUnion Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
- Hubei Province Key Laboratory of Molecular ImagingWuhanChina
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8
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Wang H, Chai C, Wu G, Li J, Zhao C, Fu D, Zhang S, Wang H, Wang B, Zhu J, Shen W, Xia S. Cerebral blood flow regulates iron overload in the cerebral nuclei of hemodialysis patients with anemia. J Cereb Blood Flow Metab 2023; 43:749-762. [PMID: 36545834 PMCID: PMC10108183 DOI: 10.1177/0271678x221147363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 09/16/2022] [Accepted: 10/09/2022] [Indexed: 12/24/2022]
Abstract
Hemodialysis patients exhibit anemia-related cerebral hyperperfusion and iron deposition (ID). However, the mechanisms underlying the pathology of cerebral ID are not clear. We investigated the role of cerebral blood flow (CBF) in the pathophysiology of cerebral ID in hemodialysis patients with anemia. This study recruited 33 hemodialysis patients with anemia and thirty-three healthy controls (HCs). All the subjects underwent quantitative susceptibility mapping (QSM) and arterial spin labeling (ASL) to measure ID and CBF in the cerebral nuclei. Furthermore, we evaluated lacunar infarction (LI), cerebral microbleeds, and total white matter hyperintensity volume (TWMHV). Hemodialysis patients with anemia showed significantly higher ID and CBF in some nuclei compared to the HCs after adjusting for age, sex, and total intracranial volume (TIV) [P < 0.05, false discovery rate (FDR) corrected]. CBF showed a positive correlation with ID in both patients and HCs after adjustments for age, gender, and TIV (P < 0.05, FDR corrected). Serum phosphorus, calcium, TWMHV, hypertension, and dialysis duration were independently associated with ID (P < 0.05). Hemoglobin, serum phosphorus, and LI were independently associated with CBF (P < 0.05). Mediation analysis demonstrated that CBF mediated the effects between hemoglobin and ID. Our study demonstrated that CBF mediated aberrant cerebral ID in hemodialysis patients with anemia.
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Affiliation(s)
- Huiying Wang
- The School of Medicine, Nankai
University, Tianjin, China
| | - Chao Chai
- Department of Radiology, Tianjin
First Central Hospital, School of Medicine, Nankai University, Tianjin,
China
- Imaging Medicine Institute of
Tianjin, Tianjin, China
| | - Gemuer Wu
- The School of Medicine, Nankai
University, Tianjin, China
| | - Jinping Li
- Department of Hemodialysis, Tianjin
First Central Hospital, School of Medicine, Nankai University, Tianjin,
China
| | - Chenxi Zhao
- Department of Radiology, First
Central Clinical College, Tianjin Medical University, Tianjin, China
| | - Dingwei Fu
- Department of Radiology, First
Central Clinical College, Tianjin Medical University, Tianjin, China
| | | | - Huapeng Wang
- Department of Radiology, First
Central Clinical College, Tianjin Medical University, Tianjin, China
| | - Beini Wang
- Department of Radiology, First
Central Clinical College, Tianjin Medical University, Tianjin, China
| | - Jinxia Zhu
- MR Collaboration, Siemens
Healthcare, Northeast Asia, Beijing, China
| | - Wen Shen
- Department of Radiology, Tianjin
First Central Hospital, School of Medicine, Nankai University, Tianjin,
China
- Imaging Medicine Institute of
Tianjin, Tianjin, China
| | - Shuang Xia
- Department of Radiology, Tianjin
First Central Hospital, School of Medicine, Nankai University, Tianjin,
China
- Imaging Medicine Institute of
Tianjin, Tianjin, China
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9
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Li G, Tong R, Zhang M, Gillen KM, Jiang W, Du Y, Wang Y, Li J. Age-dependent changes in brain iron deposition and volume in deep gray matter nuclei using quantitative susceptibility mapping. Neuroimage 2023; 269:119923. [PMID: 36739101 DOI: 10.1016/j.neuroimage.2023.119923] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 01/10/2023] [Accepted: 02/01/2023] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Microstructural changes in deep gray matter (DGM) nuclei are related to physiological behavior, cognition, and memory. Therefore, it is critical to study age-dependent trajectories of biomarkers in DGM nuclei for understanding brain development and aging, as well as predicting cognitive or neurodegenerative diseases. OBJECTIVES We aimed to (1) characterize age-dependent trajectories of mean susceptibility, adjusted volume, and total iron content simultaneously in DGM nuclei using quantitative susceptibility mapping (QSM); (2) examine potential contributions of sex related effects to the different age-dependence trajectories of volume and iron deposition; and (3) evaluate the ability of brain age prediction by combining mean magnetic susceptibility and volume of DGM nuclei. METHODS Magnetic susceptibilities and volumetric values of DGM nuclei were obtained from 220 healthy participants (aged 10-70 years) scanned on a 3T MRI system. Regions of interest (ROIs) were drawn manually on the QSM images. Univariate regression analysis between age and each of the MRI measurements in a single ROI was performed. Pearson correlation coefficients were calculated between magnetic susceptibility and adjusted volume in a single ROI. The statistical significance of sex differences in age-dependent trajectories of magnetic susceptibilities and adjusted volumes were determined using one-way ANCOVA. Multiple regression analysis was used to evaluate the ability to estimate brain age using a combination of the mean susceptibilities and adjusted volumes in multiple DGM nuclei. RESULTS Mean susceptibility and total iron content increased linearly, quadratically, or exponentially with age in all six DGM nuclei. Negative linear correlation was observed between adjusted volume and age in the head of the caudate nucleus (CN; R2 = 0.196, p < 0.001). Quadratic relationships were found between adjusted volume and age in the putamen (PUT; R2 = 0.335, p < 0.001), globus pallidus (GP; R2 = 0.062, p = 0.001), and dentate nucleus (DN; R2 = 0.077, p < 0.001). Males had higher mean magnetic susceptibility than females in the PUT (p = 0.001), red nucleus (RN; p = 0.002), and substantia nigra (SN; p < 0.001). Adjusted volumes of the CN (p < 0.001), PUT (p = 0.030), GP (p = 0.007), SN (p = 0.021), and DN (p < 0.001) were higher in females than those in males throughout the entire age range (10-70 years old). The total iron content of females was higher than that of males in the CN (p < 0.001), but lower than that of males in the PUT (p = 0.014) and RN (p = 0.043) throughout the entire age range (10-70 years old). Multiple regression analyses revealed that the combination of the mean susceptibility value of the PUT, and the volumes of the CN and PUT had the strongest associations with brain age (R2 = 0.586). CONCLUSIONS QSM can be used to simultaneously investigate age- and sex- dependent changes in magnetic susceptibility and volume of DGM nuclei, thus enabling a comprehensive understanding of the developmental trajectories of iron accumulation and volume in DGM nuclei during brain development and aging.
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Affiliation(s)
- Gaiying Li
- Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, 3663 North Zhongshan Road, Shanghai, China 200062
| | - Rui Tong
- Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, 3663 North Zhongshan Road, Shanghai, China 200062
| | - Miao Zhang
- Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, 3663 North Zhongshan Road, Shanghai, China 200062
| | - Kelly M Gillen
- Department of Radiology, Weill Medical College of Cornell University, 407 East 61st St., New York, New York, United States 10065
| | - Wenqing Jiang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wanping Road, Shanghai, China 200030
| | - Yasong Du
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wanping Road, Shanghai, China 200030
| | - Yi Wang
- Department of Radiology, Weill Medical College of Cornell University, 407 East 61st St., New York, New York, United States 10065
| | - Jianqi Li
- Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, 3663 North Zhongshan Road, Shanghai, China 200062; Institute of Brain and Education Innovation, East China Normal University, 3663 North Zhongshan Road, Shanghai, China 200062.
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10
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Zhang Y, Huang P, Wang X, Xu Q, Liu Y, Jin Z, Li Y, Cheng Z, Tang R, Chen S, He N, Yan F, Haacke EM. Visualizing the deep cerebellar nuclei using quantitative susceptibility mapping: An application in healthy controls, Parkinson's disease patients and essential tremor patients. Hum Brain Mapp 2023; 44:1810-1824. [PMID: 36502376 PMCID: PMC9921226 DOI: 10.1002/hbm.26178] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 10/20/2022] [Accepted: 11/27/2022] [Indexed: 12/14/2022] Open
Abstract
The visualization and identification of the deep cerebellar nuclei (DCN) (dentate [DN], interposed [IN] and fastigial nuclei [FN]) are particularly challenging. We aimed to visualize the DCN using quantitative susceptibility mapping (QSM), predict the contrast differences between QSM and T2* weighted imaging, and compare the DCN volume and susceptibility in movement disorder populations and healthy controls (HCs). Seventy-one Parkinson's disease (PD) patients, 39 essential tremor patients, and 80 HCs were enrolled. The PD patients were subdivided into tremor dominant (TD) and postural instability/gait difficulty (PIGD) groups. A 3D strategically acquired gradient echo MR imaging protocol was used for each subject to obtain the QSM data. Regions of interest were drawn manually on the QSM data to calculate the volume and susceptibility. Correlation analysis between the susceptibility and either age or volume was performed and the intergroup differences of the volume and magnetic susceptibility in all the DCN structures were evaluated. For the most part, all the DCN structures were clearly visualized on the QSM data. The susceptibility increased as a function of volume for both the HC group and disease groups in the DN and IN (p < .001) but not the FN (p = .74). Only the volume of the FN in the TD-PD group was higher than that in the HCs (p = .012), otherwise, the volume and susceptibility among these four groups did not differ significantly. In conclusion, QSM provides clear visualization of the DCN structures. The results for the volume and susceptibility of the DCN can be used as baseline references in future studies of movement disorders.
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Affiliation(s)
- Youmin Zhang
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Pei Huang
- Department of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xinhui Wang
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qiuyun Xu
- Department of Biomedical Engineering, Wayne State University, Detroit, Michigan, USA
| | - Yu Liu
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhijia Jin
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Li
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zenghui Cheng
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Rongbiao Tang
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shengdi Chen
- Department of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Naying He
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fuhua Yan
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - E Mark Haacke
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Department of Biomedical Engineering, Wayne State University, Detroit, Michigan, USA.,Department of Radiology, Wayne State University, Detroit, Michigan, USA
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11
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Yao J, Morrison MA, Jakary A, Avadiappan S, Chen Y, Luitjens J, Glueck J, Driscoll T, Geschwind MD, Nelson AB, Villanueva-Meyer JE, Hess CP, Lupo JM. Comparison of quantitative susceptibility mapping methods for iron-sensitive susceptibility imaging at 7T: An evaluation in healthy subjects and patients with Huntington's disease. Neuroimage 2023; 265:119788. [PMID: 36476567 DOI: 10.1016/j.neuroimage.2022.119788] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 10/08/2022] [Accepted: 12/02/2022] [Indexed: 12/12/2022] Open
Abstract
Quantitative susceptibility mapping (QSM) is a promising tool for investigating iron dysregulation in neurodegenerative diseases, including Huntington's disease (HD). Many diverse methods have been proposed to generate accurate and robust QSM images. In this study, we evaluated the performance of different dipole inversion algorithms for iron-sensitive susceptibility imaging at 7T on healthy subjects of a large age range and patients with HD. We compared an iterative least-squares-based method (iLSQR), iterative methods that use regularization, single-step approaches, and deep learning-based techniques. Their performance was evaluated by comparing: (1) deviations from a multiple-orientation QSM reference; (2) visual appearance of QSM maps and the presence of artifacts; (3) susceptibility in subcortical brain regions with age; (4) regional brain susceptibility with published postmortem brain iron quantification; and (5) susceptibility in HD-affected basal ganglia regions between HD subjects and healthy controls. We found that single-step QSM methods with either total variation or total generalized variation constraints (SSTV/SSTGV) and the single-step deep learning method iQSM generally provided the best performance in terms of correlation with iron deposition and were better at differentiating between healthy controls and premanifest HD individuals, while deep learning QSM methods trained with multiple-orientation susceptibility data created QSM maps that were most similar to the multiple orientation reference and with the best visual scores.
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Affiliation(s)
- Jingwen Yao
- Department of Radiology and Biomedical Imaging, UCSF, San Francisco, CA, USA
| | - Melanie A Morrison
- Department of Radiology and Biomedical Imaging, UCSF, San Francisco, CA, USA
| | - Angela Jakary
- Department of Radiology and Biomedical Imaging, UCSF, San Francisco, CA, USA
| | - Sivakami Avadiappan
- Department of Radiology and Biomedical Imaging, UCSF, San Francisco, CA, USA
| | - Yicheng Chen
- Department of Radiology and Biomedical Imaging, UCSF, San Francisco, CA, USA; UCSF/UC Berkeley Graduate Program in Bioengineering, San Francisco & Berkeley, CA, USA; Meta Platforms, Inc., Mountain View, CA, USA
| | - Johanna Luitjens
- Department of Radiology and Biomedical Imaging, UCSF, San Francisco, CA, USA; Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Julia Glueck
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Theresa Driscoll
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Michael D Geschwind
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Alexandra B Nelson
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | | | - Christopher P Hess
- Department of Radiology and Biomedical Imaging, UCSF, San Francisco, CA, USA; Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Janine M Lupo
- Department of Radiology and Biomedical Imaging, UCSF, San Francisco, CA, USA; UCSF/UC Berkeley Graduate Program in Bioengineering, San Francisco & Berkeley, CA, USA.
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12
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Sethi SK, Sharma S, Gharabaghi S, Reese D, Chen Y, Adams P, Jog MS, Haacke EM. Quantifying Brain Iron in Hereditary Hemochromatosis Using R2* and Susceptibility Mapping. AJNR Am J Neuroradiol 2022; 43:991-997. [PMID: 35798390 DOI: 10.3174/ajnr.a7560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 05/10/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Brain iron dyshomeostasis is increasingly recognized as an important contributor to neurodegeneration. Hereditary hemochromatosis is the most commonly inherited disorder of systemic iron overload. Although there is an increasing interest in excessive brain iron deposition, there is a paucity of evidence showing changes in brain iron exceeding that in healthy controls. Quantitative susceptibility mapping and R2* mapping are established MR imaging techniques that we used to noninvasively quantify brain iron in subjects with hereditary hemochromatosis. MATERIALS AND METHODS Fifty-two patients with hereditary hemochromatosis and 47 age- and sex-matched healthy controls were imaged using a multiecho gradient-echo sequence at 3T. Quantitative susceptibility mapping and R2* data were generated, and regions within the deep gray matter were manually segmented. Mean susceptibility and R2* relaxation rates were calculated for each region, and iron content was compared between the groups. RESULTS We noted elevated iron levels in patients with hereditary hemochromatosis compared with healthy controls using both R2* and QSM methods in the caudate nucleus, putamen, pulvinar thalamus, red nucleus, and dentate nucleus. Additionally, the substantia nigra showed increased susceptibility while the thalamus showed an increased R2* relaxation rate compared with healthy controls, respectively. CONCLUSIONS Both quantitative susceptibility mapping and R2* showed abnormal levels of brain iron in subjects with hereditary hemochromatosis compared with controls. Quantitative susceptibility mapping and R2* can be acquired in a single MR imaging sequence and are complementary in quantifying deep gray matter iron.
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Affiliation(s)
- S K Sethi
- From the Department of Radiology (S.K.S., E.M.H.), Wayne State University, Detroit, Michigan .,SpinTech MRI Inc (S.K.S., S.G., E.M.H.), Bingham Farms, Michigan
| | - S Sharma
- Department of Clinical Neurological Sciences (S.S., M.S.J.), London Health Sciences Centre
| | - S Gharabaghi
- SpinTech MRI Inc (S.K.S., S.G., E.M.H.), Bingham Farms, Michigan
| | - D Reese
- Imaging Research Laboratories (D.R.), Robarts Research Institute, London, Ontario, Canada
| | - Y Chen
- Department of Neurology (Y.C.), Wayne State University School of Medicine, Detroit, Michigan
| | - P Adams
- Division of Gastroenterology (P.A.), Department of Medicine, Western University, London, Ontario, Canada
| | - M S Jog
- Department of Clinical Neurological Sciences (S.S., M.S.J.), London Health Sciences Centre
| | - E M Haacke
- From the Department of Radiology (S.K.S., E.M.H.), Wayne State University, Detroit, Michigan.,SpinTech MRI Inc (S.K.S., S.G., E.M.H.), Bingham Farms, Michigan
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13
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Coffman CH, White R, Subramanian K, Buch S, Bernitsas E, Haacke EM. Quantitative susceptibility mapping of both ring and non-ring white matter lesions in relapsing remitting multiple sclerosis. Magn Reson Imaging 2022; 91:45-51. [DOI: 10.1016/j.mri.2022.05.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 05/12/2022] [Accepted: 05/16/2022] [Indexed: 11/25/2022]
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14
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Jung W, Bollmann S, Lee J. Overview of quantitative susceptibility mapping using deep learning: Current status, challenges and opportunities. NMR IN BIOMEDICINE 2022; 35:e4292. [PMID: 32207195 DOI: 10.1002/nbm.4292] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 02/04/2020] [Accepted: 02/25/2020] [Indexed: 06/10/2023]
Abstract
Quantitative susceptibility mapping (QSM) has gained broad interest in the field by extracting bulk tissue magnetic susceptibility, predominantly determined by myelin, iron and calcium from magnetic resonance imaging (MRI) phase measurements in vivo. Thereby, QSM can reveal pathological changes of these key components in a variety of diseases. QSM requires multiple processing steps such as phase unwrapping, background field removal and field-to-source inversion. Current state-of-the-art techniques utilize iterative optimization procedures to solve the inversion and background field correction, which are computationally expensive and require a careful choice of regularization parameters. With the recent success of deep learning using convolutional neural networks for solving ill-posed reconstruction problems, the QSM community also adapted these techniques and demonstrated that the QSM processing steps can be solved by efficient feed forward multiplications not requiring either iterative optimization or the choice of regularization parameters. Here, we review the current status of deep learning-based approaches for processing QSM, highlighting limitations and potential pitfalls, and discuss the future directions the field may take to exploit the latest advances in deep learning for QSM.
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Affiliation(s)
- Woojin Jung
- Laboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea
| | - Steffen Bollmann
- ARC Training Centre for Innovation in Biomedical Imaging Technology, The University of Queensland, Brisbane, Australia
- Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia
| | - Jongho Lee
- Laboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea
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15
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Ebrahimpour A, Tirgar F, Hajipour-Verdom B, Abbasi A, Hadjighassem M, Abdolmaleki P, Hosseindoost S, Javadi SAH, Hashemi H, Foroushani AR, Alam NR, Khoobi M. Detection of glioblastoma multiforme using quantitative molecular magnetic resonance imaging based on 5-aminolevulinic acid: in vitro and in vivo studies. MAGMA (NEW YORK, N.Y.) 2022; 35:3-15. [PMID: 34878619 DOI: 10.1007/s10334-021-00978-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Revised: 09/19/2021] [Accepted: 11/15/2021] [Indexed: 06/13/2023]
Abstract
OBJECTIVES We demonstrated a novel metabolic method based on sequential administration of 5-aminolevulinic acid (ALA) and iron supplement, and ferric ammonium citrate (FAC), for glioblastoma multiforme (GBM) detection using R2' and quantitative susceptibility mapping (QSM). MATERIALS AND METHODS Intra-cellular iron accumulation in glioblastoma cells treated with ALA and/or FAC was measured. Cell phantoms containing glioblastoma cells and Wistar rats bearing C6 glioblastoma were imaged using a 3 T MRI scanner after sequential administration of ALA and FAC. The relaxivity and QSM analysis were performed on the images. RESULTS The intra-cellular iron deposition was significantly higher in the glioma cells with sequential treatment of ALA and FAC for 6 h compared to those treated with the controls. The relaxivity and magnetic susceptibility values of the glioblastoma cells and rat brain tumors treated with ALA + FAC (115 ± 5 s-1 for R2', and 0.1 ± 0.02 ppm for magnetic susceptibility) were significantly higher than those treated with the controls (55 ± 18 (FAC), 45 ± 15 (ALA) s-1 for R2', p < 0.05, and 0.03 ± 0.03 (FAC), 0.02 ± 0.02 (ALA) ppm for magnetic susceptibility, p < 0.05). DISCUSSION Sequential administration of ALA and iron supplements increases the iron deposition in glioblastoma cells, enabling clinical 3 T MRI to detect GBM using R2' or QSM.
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Affiliation(s)
- Anita Ebrahimpour
- Department of Medical Physics and Biomedical Engineering, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Tirgar
- Department of Neuroscience and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Behnam Hajipour-Verdom
- Department of Biophysics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran
| | - Ardeshir Abbasi
- Department of Immunology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
| | - Mahmoudreza Hadjighassem
- Brain and Spinal Cord Injury Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Parviz Abdolmaleki
- Department of Biophysics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran
| | - Saereh Hosseindoost
- Brain and Spinal Cord Injury Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Seyed Amir Hossein Javadi
- Department of Neurosurgery, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Hassan Hashemi
- Department of Radiology, Faculty of Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Abbas Rahimi Foroushani
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Nader Riyahi Alam
- Department of Medical Physics and Biomedical Engineering, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
- Concordia University, PERFORM Center, Montreal, QC, Canada.
| | - Mehdi Khoobi
- Biomaterials Group, The Institute of Pharmaceutical Sciences (TIPS), Tehran University of Medical Sciences, Tehran, Iran.
- Department of Medicinal Chemistry, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.
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16
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Raab P, Ropele S, Bültmann E, Salcher R, Lanfermann H, Wattjes MP. Analysis of deep grey nuclei susceptibility in early childhood: a quantitative susceptibility mapping and R2* study at 3 Tesla. Neuroradiology 2021; 64:1021-1031. [PMID: 34787698 PMCID: PMC9005446 DOI: 10.1007/s00234-021-02846-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 10/24/2021] [Indexed: 11/18/2022]
Abstract
Purpose Aging is the most significant determinant for brain iron accumulation in the deep grey matter. Data on brain iron evolution during brain maturation in early childhood are limited. The purpose of this study was to investigate age-related iron deposition in the deep grey matter in children using quantitative susceptibility (QSM) and R2* mapping. Methods We evaluated brain MRI scans of 74 children (age 6–154 months, mean 40 months). A multi-echo gradient-echo sequence obtained at 3 Tesla was used for the QSM and R2* calculation. Susceptibility of the pallidum, head of caudate nucleus, and putamen was correlated with age and compared between sexes. Results Susceptibility changes in all three nuclei correlated with age (correlation coefficients for QSM/R2*: globus pallidus 0.955/0.882, caudate nucleus 0.76/0.65, and putamen 0.643/0.611). During the first 2 years, the R2* values increased more rapidly than the QSM values, indicating a combined effect of iron deposition and myelination, followed by a likely dominating effect of iron deposition. There was no significant gender difference. Conclusion QSM and R2* can monitor myelin maturation processes and iron accumulation in the deep grey nuclei of the brain in early life and may be a promising tool for the detection of deviations of this normal process. Susceptibility in the deep nuclei is almost similar early after birth and increases more quickly in the pallidum. The combined use of QSM and R2* analysis is beneficial.
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Affiliation(s)
- Peter Raab
- Department of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.
| | - Stefan Ropele
- Clinical Department of Neurology, Medical University of Graz, Graz, Austria
| | - Eva Bültmann
- Department of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
| | - Rolf Salcher
- Clinic for Laryngology, Rhinology and Otology, Hannover Medical School, Hannover, Germany
| | - Heinrich Lanfermann
- Department of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
| | - Mike P Wattjes
- Department of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
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17
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Lee H, Cho H, Lee MJ, Kim TH, Roh J, Lee JH. Differential Effect of Iron and Myelin on Susceptibility MRI in the Substantia Nigra. Radiology 2021; 301:682-691. [PMID: 34609198 DOI: 10.1148/radiol.2021210116] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Background The heterogeneous composition of substantia nigra (SN), including iron, nigrosome-1 substructure, and myelinated white matter, complicates the interpretation of MRI signals. Purpose To investigate R2* and quantitative susceptibility mapping (QSM) in the SN subdivisions of participants with Parkinson disease and healthy control subjects. Materials and Methods In this prospective study conducted from November 2018 to November 2019, participants with Parkinson disease and sex-matched healthy control subjects underwent 3-T MRI. R2* and QSM values were measured and compared in the anterior SN and posterior SN at the rostral (superior) and caudal (inferior) levels. Postmortem MRI and histology correlation of midbrain tissues was evaluated to investigate the effect of myelin and iron in the SN on R2* and QSM values. Results Forty individuals were evaluated: 20 healthy control subjects (mean age, 61 years ± 3 [standard deviation]; 10 men) and 20 participants with Parkinson disease (mean age, 61 years ± 4; 10 men). The R2* values of participants with Parkinson disease were higher in all subdivisions of the SN compared with R2* values in healthy control subjects (all P < .05). For QSM, no evidence of a difference was found in the rostral posterior SN (healthy control subjects, 54.1 ppb ± 21.0; Parkinson disease, 62.2 ppb ± 19.8; P = .49). The combination of rostral R2* and caudal QSM values resulted in an area under the receiver operating characteristic curve of 0.84. R2* values showed higher correlation with QSM values at the caudal level than at the rostral level within each group (all P < .001). Postmortem investigation demonstrated that R2* and QSM values showed weak correlation in the myelin-rich areas (r = 0.22 and r = 0.36, P < .001) and strong correlation in myelin-scanty areas (r ranged from approximately 0.52 to approximately 0.78, P < .001) in the SN. Conclusion Considering the iron and myelin distribution in the substantia nigra subdivisions, the subdivisional analysis of substantia nigra using R2* and quantitative susceptibility mapping might aid in specifically differentiating individuals with Parkinson disease from healthy control subjects. © RSNA, 2021 Online supplemental material is available for this article.
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Affiliation(s)
- Hansol Lee
- From the Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea (H.L., H.J.C.); Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Biomedical Research Institute, Busan, South Korea (M.J.L); and Research Institute for Convergence of Biomedical Science and Technology (T.H.K.) and Departments of Radiology (J.R.) and Neurology (J.H.L.), Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, 20 Geumo-ro, Mulgeum-eup, Yangsan-si, Gyeongsangnam-do, South Korea
| | - HyungJoon Cho
- From the Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea (H.L., H.J.C.); Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Biomedical Research Institute, Busan, South Korea (M.J.L); and Research Institute for Convergence of Biomedical Science and Technology (T.H.K.) and Departments of Radiology (J.R.) and Neurology (J.H.L.), Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, 20 Geumo-ro, Mulgeum-eup, Yangsan-si, Gyeongsangnam-do, South Korea
| | - Myung Jun Lee
- From the Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea (H.L., H.J.C.); Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Biomedical Research Institute, Busan, South Korea (M.J.L); and Research Institute for Convergence of Biomedical Science and Technology (T.H.K.) and Departments of Radiology (J.R.) and Neurology (J.H.L.), Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, 20 Geumo-ro, Mulgeum-eup, Yangsan-si, Gyeongsangnam-do, South Korea
| | - Tae-Hyung Kim
- From the Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea (H.L., H.J.C.); Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Biomedical Research Institute, Busan, South Korea (M.J.L); and Research Institute for Convergence of Biomedical Science and Technology (T.H.K.) and Departments of Radiology (J.R.) and Neurology (J.H.L.), Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, 20 Geumo-ro, Mulgeum-eup, Yangsan-si, Gyeongsangnam-do, South Korea
| | - Jieun Roh
- From the Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea (H.L., H.J.C.); Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Biomedical Research Institute, Busan, South Korea (M.J.L); and Research Institute for Convergence of Biomedical Science and Technology (T.H.K.) and Departments of Radiology (J.R.) and Neurology (J.H.L.), Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, 20 Geumo-ro, Mulgeum-eup, Yangsan-si, Gyeongsangnam-do, South Korea
| | - Jae-Hyeok Lee
- From the Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea (H.L., H.J.C.); Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Biomedical Research Institute, Busan, South Korea (M.J.L); and Research Institute for Convergence of Biomedical Science and Technology (T.H.K.) and Departments of Radiology (J.R.) and Neurology (J.H.L.), Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, 20 Geumo-ro, Mulgeum-eup, Yangsan-si, Gyeongsangnam-do, South Korea
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Tan S, Hartono S, Welton T, Ann CN, Lim SL, Koh TS, Li H, Setiawan F, Ng S, Chia N, Liu S, Mark Haacke E, King Tan E, Chew Seng Tan L, Ling Chan L. Utility of quantitative susceptibility mapping and diffusion kurtosis imaging in the diagnosis of early Parkinson's disease. NEUROIMAGE-CLINICAL 2021; 32:102831. [PMID: 34619654 PMCID: PMC8503579 DOI: 10.1016/j.nicl.2021.102831] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 09/16/2021] [Accepted: 09/18/2021] [Indexed: 01/19/2023]
Abstract
Putamen susceptibility value was higher in PD than controls one year into diagnosis. Putamen susceptibility value was associated with clinical motor scores in early PD. Mean diffusivity revealed greater cellular loss in the lateral substantial nigra. Putamen and caudate microstructural degradation were driven by radial diffusivity. A composite putamen-caudate DKI-QSM marker classified early PD from controls.
Objective To investigate the utility of quantitative susceptibility mapping (QSM) and diffusion kurtosis imaging (DKI) as complementary tools in characterizing pathological changes in the deep grey nuclei in early Parkinson’s disease (PD) and their clinical correlates to aid in diagnosis of PD. Method Patients with a diagnosis of PD made within a year and age-matched healthy controls were recruited. All participants underwent clinical evaluation using the Unified Parkinson’s Disease Rating Scale (MDS-UPDRS III) and Hoehn & Yahr stage (H&Y), and brain 3 T MRI including QSM and DKI. Regions-of-interest (ROIs) in the caudate nucleus, putamen, globus pallidus, and medial and lateral substantia nigra (SN) were manually drawn to compare the mean susceptibility (representing iron deposition) and DKI indices (representing restricted water diffusion) between PD patients and healthy controls and in correlation with MDS-UPDRS III and H&Y, focusing on susceptibility value, mean diffusivity (MD) and mean kurtosis (MK). Results There were forty-seven PD patients (aged 68.7 years, 51% male, disease duration 0.78 years) and 16 healthy controls (aged 67.4 years, 63% male). Susceptibility value was increased in PD in all ROIs except the caudate, and was significantly different after multiple comparison correction in the putamen (PD: 64.75 ppb, HC: 44.61 ppb, p = 0.004). MD was significantly higher in PD in the lateral SN, putamen and caudate, the regions with the lowest susceptibility value. In PD patients, we found significant association between the MDS-UPDRS III score and susceptibility value in the putamen after correcting for age and sex (β = 0.21, p = 0.003). A composite DKI-QSM diagnostic marker based on these findings successfully differentiated the groups (p < 0.0001) and had “good” classification performance (AUC = 0.88). Conclusions QSM and DKI are complementary tools allowing a better understanding of the complex contribution of iron deposition and microstructural changes in the pathophysiology of PD.
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Affiliation(s)
- Samantha Tan
- Singapore General Hospital, Singapore, Singapore
| | - Septian Hartono
- National Neuroscience Institute, Singapore, Singapore; Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Thomas Welton
- National Neuroscience Institute, Singapore, Singapore; Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Chu Ning Ann
- Singapore General Hospital, Singapore, Singapore; National Neuroscience Institute, Singapore, Singapore
| | - Soo Lee Lim
- Singapore General Hospital, Singapore, Singapore; National Heart Centre Singapore, Singapore, Singapore
| | - Tong San Koh
- Duke-NUS Graduate Medical School, Singapore, Singapore; National Cancer Centre Singapore, Singapore, Singapore
| | - Huihua Li
- Singapore General Hospital, Singapore, Singapore; Duke-NUS Graduate Medical School, Singapore, Singapore
| | | | - Samuel Ng
- National Neuroscience Institute, Singapore, Singapore
| | - Nicole Chia
- National Neuroscience Institute, Singapore, Singapore
| | - Saifeng Liu
- MRI Institute for Biomedical Research, Bingham Farms, MI, USA
| | - E Mark Haacke
- MRI Institute for Biomedical Research, Bingham Farms, MI, USA; Wayne State University, Detroit, MI, USA
| | - Eng King Tan
- National Neuroscience Institute, Singapore, Singapore; Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Louis Chew Seng Tan
- National Neuroscience Institute, Singapore, Singapore; Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Ling Ling Chan
- Singapore General Hospital, Singapore, Singapore; Duke-NUS Graduate Medical School, Singapore, Singapore.
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19
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Burgetova R, Dusek P, Burgetova A, Pudlac A, Vaneckova M, Horakova D, Krasensky J, Varga Z, Lambert L. Age-related magnetic susceptibility changes in deep grey matter and cerebral cortex of normal young and middle-aged adults depicted by whole brain analysis. Quant Imaging Med Surg 2021; 11:3906-3919. [PMID: 34476177 DOI: 10.21037/qims-21-87] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Accepted: 04/19/2021] [Indexed: 12/31/2022]
Abstract
Background Iron accumulates in brain tissue in healthy subjects during aging. Our goal was to conduct a detailed analysis of iron deposition patterns in the cerebral deep grey matter and cortex using region-based and whole-brain analyses of brain magnetic susceptibility. Methods Brain MRI was performed in 95 healthy individuals aged between 21 and 58 years on a 3T scanner. MRI protocol included T1-weighted (T1W) magnetization-prepared rapid acquisition with gradient echo images and 3D flow-compensated multi-echo gradient-echo images for quantitative susceptibility mapping (QSM). In the region-based analysis, QSM and T1W images entered an automated multi-atlas segmentation pipeline and regional mean bulk susceptibility values were calculated. The whole-brain analysis included a non-linear transformation of QSM images to the standard MNI template. For the whole-brain analysis voxel-wise maps of linear regression slopes β and P values were calculated. Regional masks of cortical voxels with a significant association between susceptibility and age were created and further analyzed. Results In cortical regions, the highest increase of susceptibility values with age was found in areas involved in motor functions (precentral and postcentral areas, premotor cortex), in cognitive processing (prefrontal cortex, superior temporal gyrus, insula, precuneus), and visual processing (occipital gyri, cuneus, posterior cingulum, fusiform, calcarine and lingual gyrus). Thalamic susceptibility increased until the fourth decade and decreased thereafter with the exception of the pulvinar where susceptibility increase was observed throughout the adult lifespan. Deep grey matter structures with the highest increase of susceptibility values with age included the red nucleus, putamen, substantia nigra, dentate nucleus, external globus pallidus, caudate nucleus, and the subthalamic nucleus in decreasing order. Conclusions Accumulation of iron in basal ganglia follows a linear pattern whereas in the thalamus, pulvinar, precentral cortex, and precuneus, it follows a quadratic or exponential pattern. Age-related changes of iron content are different in the pulvinar and the rest of the thalamus as well as in internal and external globus pallidus. In the cortex, areas involved in motor and cognitive functions and visual processing show the highest iron increase with aging. We suggest that the departure from normal patterns of regional brain iron trajectories during aging may be helpful in the detection of subtle neurodegenerative and neuroinflammatory processes.
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Affiliation(s)
- Romana Burgetova
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.,Department of Radiology, Third Faculty of Medicine, Charles University and University Hospital Královské Vinohrady, Prague, Czech Republic
| | - Petr Dusek
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.,Department of Neurology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Andrea Burgetova
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Adam Pudlac
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Manuela Vaneckova
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Dana Horakova
- Department of Neurology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Jan Krasensky
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Zsoka Varga
- Department of Neurology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Lukas Lambert
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
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20
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MacDonald ME, Pike GB. MRI of healthy brain aging: A review. NMR IN BIOMEDICINE 2021; 34:e4564. [PMID: 34096114 DOI: 10.1002/nbm.4564] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 05/08/2021] [Accepted: 05/11/2021] [Indexed: 06/12/2023]
Abstract
We present a review of the characterization of healthy brain aging using MRI with an emphasis on morphology, lesions, and quantitative MR parameters. A scope review found 6612 articles encompassing the keywords "Brain Aging" and "Magnetic Resonance"; papers involving functional MRI or not involving imaging of healthy human brain aging were discarded, leaving 2246 articles. We first consider some of the biogerontological mechanisms of aging, and the consequences of aging in terms of cognition and onset of disease. Morphological changes with aging are reviewed for the whole brain, cerebral cortex, white matter, subcortical gray matter, and other individual structures. In general, volume and cortical thickness decline with age, beginning in mid-life. Prevalent silent lesions such as white matter hyperintensities, microbleeds, and lacunar infarcts are also observed with increasing frequency. The literature regarding quantitative MR parameter changes includes T1 , T2 , T2 *, magnetic susceptibility, spectroscopy, magnetization transfer, diffusion, and blood flow. We summarize the findings on how each of these parameters varies with aging. Finally, we examine how the aforementioned techniques have been used for age prediction. While relatively large in scope, we present a comprehensive review that should provide the reader with sound understanding of what MRI has been able to tell us about how the healthy brain ages.
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Affiliation(s)
- M Ethan MacDonald
- Department of Electrical and Software Engineering, University of Calgary, Calgary, Alberta, Canada
- Departments of Radiology and Clinical Neuroscience, University of Calgary, Calgary, Alberta, Canada
- Healthy Brain Aging Laboratory, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - G Bruce Pike
- Departments of Radiology and Clinical Neuroscience, University of Calgary, Calgary, Alberta, Canada
- Healthy Brain Aging Laboratory, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
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21
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Yablonskiy DA, Wen J, Kothapalli SVVN, Sukstanskii AL. In vivo evaluation of heme and non-heme iron content and neuronal density in human basal ganglia. Neuroimage 2021; 235:118012. [PMID: 33838265 PMCID: PMC10468262 DOI: 10.1016/j.neuroimage.2021.118012] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 03/24/2021] [Accepted: 03/25/2021] [Indexed: 12/16/2022] Open
Abstract
Non-heme iron is an important element supporting the structure and functioning of biological tissues. Imbalance in non-heme iron can lead to different neurological disorders. Several MRI approaches have been developed for iron quantification relying either on the relaxation properties of MRI signal or measuring tissue magnetic susceptibility. Specific quantification of the non-heme iron can, however, be constrained by the presence of the heme iron in the deoxygenated blood and contribution of cellular composition. The goal of this paper is to introduce theoretical background and experimental MRI method allowing disentangling contributions of heme and non-heme irons simultaneously with evaluation of tissue neuronal density in the iron-rich basal ganglia. Our approach is based on the quantitative Gradient Recalled Echo (qGRE) MRI technique that allows separation of the total R2* metric characterizing decay of GRE signal into tissue-specific (R2t*) and the baseline blood oxygen level-dependent (BOLD) contributions. A combination with the QSM data (also available from the qGRE signal phase) allowed further separation of the tissue-specific R2t* metric in a cell-specific and non-heme-iron-specific contributions. It is shown that the non-heme iron contribution to R2t* relaxation can be described with the previously developed Gaussian Phase Approximation (GPA) approach. qGRE data were obtained from 22 healthy control participants (ages 26-63 years). Results suggest that the ferritin complexes are aggregated in clusters with an average radius about 100nm comprising approximately 2600 individual ferritin units. It is also demonstrated that the concentrations of heme and non-heme iron tend to increase with age. The strongest age effect was seen in the pallidum region, where the highest age-related non-heme iron accumulation was observed.
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Affiliation(s)
- Dmitriy A Yablonskiy
- Department of Radiology, Washington University in St. Louis, 4525 Scott Ave. Room 3216, St. Louis, MO 63110, United States.
| | - Jie Wen
- Department of Radiology, The First Affiliated Hospital of USTC, Hefei, Anhui 230001, China
| | - Satya V V N Kothapalli
- Department of Radiology, Washington University in St. Louis, 4525 Scott Ave. Room 3216, St. Louis, MO 63110, United States
| | - Alexander L Sukstanskii
- Department of Radiology, Washington University in St. Louis, 4525 Scott Ave. Room 3216, St. Louis, MO 63110, United States
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22
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Zhang X, Chai C, Ghassaban K, Ye J, Huang Y, Zhang T, Wu W, Zhu J, Zhang X, Haacke EM, Wang Z, Xue R, Xia S. Assessing brain iron and volume of subcortical nuclei in idiopathic rapid eye movement sleep behavior disorder. Sleep 2021; 44:6279094. [PMID: 34015127 DOI: 10.1093/sleep/zsab131] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 04/30/2021] [Indexed: 12/20/2022] Open
Abstract
STUDY OBJECTIVES The relationship of iron with cognitive and motor impairment in idiopathic rapid eye movement sleep behavior disorder (iRBD) remains unknown. METHODS Twenty-nine (29) patients and 28 healthy controls (HCs) underwent susceptibility weighted imaging and susceptibility mapping. These images were used to evaluate the nigrosome-1 (N1) sign in the substantia nigra (SN), global and regional high-iron (RII) content and volume of subcortical nuclei. RESULTS The number of iRBD patients with N1 loss (12) was significantly higher than HCs (2) (P=0.005). Compared with HCs, the iRBD patients had reduced volume of the right caudate nucleus (RCN) (P<0.05, FDR correction) but no significant changes in global and RII iron of the subcortical nuclei (all P>0.05, FDR correction). Multiple regression analysis revealed that: for cognitive function, the RII iron of the RCN was significantly correlated with visuospatial function and the global iron of the right dentate nucleus (RDN) was correlated with memory function; for motor function, the RII iron of the left DN (LDN) and global iron of the left CN correlated with the Alternate-Tap test (left, average), the global iron of the LDN correlated with the Alternate-Tap test (right), and the global iron of the left GP correlated with the 3-meter Timed Up and Go test (all P<0.05, FDR correction). CONCLUSIONS Our exploratory analysis found that iRBD patients had a higher incidence of N1 loss and reduced RCN volume after FDR correction. Cognitive and motor impairment were associated with iron deposition in several cerebral nuclei after FDR correction.
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Affiliation(s)
- Xuan Zhang
- Department of Neurology, Tianjin Medical University General Hospital Airport Site, Tianjin, China
| | - Chao Chai
- Department of Radiology, Tianjin First Central Hospital, Tianjin Medical Imaging Institute, School of Medicine, Nankai University, Tianjin, China
| | - Kiarash Ghassaban
- Department of Radiology, Wayne State University, Detroit, Michigan, USA.,SpinTech MRI Inc., Bingham Farms, Michigan, USA
| | - Jingyi Ye
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
| | - Yaqin Huang
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
| | - Tong Zhang
- Department of Radiology, Tianjin First Central Hospital, Tianjin Medical Imaging Institute, School of Medicine, Nankai University, Tianjin, China
| | - Wei Wu
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
| | - Jinxia Zhu
- MR Collaboration, Siemens Healthcare Ltd., Beijing, China
| | | | - E Mark Haacke
- Department of Radiology, Wayne State University, Detroit, Michigan, USA.,SpinTech MRI Inc., Bingham Farms, Michigan, USA
| | - Zhiyun Wang
- Department of Neurology, Tianjin First Central Hospital, Tianjin, China
| | - Rong Xue
- Department of Neurology, Tianjin Medical University General Hospital Airport Site, Tianjin, China.,Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
| | - Shuang Xia
- Department of Radiology, Tianjin First Central Hospital, Tianjin Medical Imaging Institute, School of Medicine, Nankai University, Tianjin, China
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23
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He N, Ghassaban K, Huang P, Jokar M, Wang Y, Cheng Z, Jin Z, Li Y, Sethi SK, He Y, Chen Y, Gharabaghi S, Chen S, Yan F, Haacke EM. Imaging iron and neuromelanin simultaneously using a single 3D gradient echo magnetization transfer sequence: Combining neuromelanin, iron and the nigrosome-1 sign as complementary imaging biomarkers in early stage Parkinson's disease. Neuroimage 2021; 230:117810. [PMID: 33524572 DOI: 10.1016/j.neuroimage.2021.117810] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Revised: 01/15/2021] [Accepted: 01/23/2021] [Indexed: 10/22/2022] Open
Abstract
Diagnosing early stage Parkinson's disease (PD) is still a clinical challenge. Previous studies using iron, neuromelanin (NM) or the Nigrosome-1 (N1) sign in the substantia nigra (SN) by themselves have been unable to provide sufficiently high diagnostic performance for these methods to be adopted clinically. Our goal in this study was to extract the NM complex volume, iron content and volume representing the entire SN, and the N1 sign as potential complementary imaging biomarkers using a single 3D magnetization transfer contrast (MTC) gradient echo sequence and to evaluate their diagnostic performance and clinical correlations in early stage PD. A total of 40 early stage idiopathic PD subjects and 40 age- and sex-matched healthy controls (HCs) were imaged at 3T. NM boundaries (representing the SN pars compacta (SNpc) and parabrachial pigmented nucleus) and iron boundaries representing the total SN (SNpc and SN pars reticulata) were determined semi-automatically using a dynamic programming (DP) boundary detection algorithm. Receiver operating characteristic analyses were performed to evaluate the utility of these imaging biomarkers in diagnosing early stage PD. A correlation analysis was used to study the relationship between these imaging measures and the clinical scales. We also introduced the concept of NM and total iron overlap volumes to demonstrate the loss of NM relative to the iron containing SN. Furthermore, all 80 cases were evaluated for the N1 sign independently. The NM and SN volumes were lower while the iron content was higher in the SN for PD subjects compared to HCs. Interestingly, the PD subjects with bilateral loss of the N1 sign had the highest iron content. The area under the curve (AUC) values for the average of both hemispheres for single measures were: .960 for NM complex volume; .788 for total SN volume; .740 for SN iron content and .891 for the N1 sign. Combining NM complex volume with each of the following measures through binary logistic regression led to AUC values for the averaged right and left sides of: .976 for total iron content; .969 for total SN volume, .965 for overlap volume and .983 for the N1 sign. We found a negative correlation between SN volume and UPDRS-III (R2 = .22, p = .002). While the N1 sign performed well, it does not contain any information about iron content or NM quantitatively, therefore, marrying this sign with the NM and iron measures provides a better physiological explanation of what is happening when the N1 sign disappears in PD subjects. In summary, the combination of NM complex volume, SN volume, iron content and the N1 sign as derived from a single MTC sequence provides complementary information for understanding and diagnosing early stage PD.
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Affiliation(s)
- Naying He
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China.
| | - Kiarash Ghassaban
- Department of Radiology, Wayne State University, 3990 John R, Detroit, Michigan 48201, USA; Department of Biomedical Engineering, Wayne State University, 3990 John R, Detroit, Michigan 48201, USA
| | - Pei Huang
- Department of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | | | - Ying Wang
- Department of Radiology, Wayne State University, 3990 John R, Detroit, Michigan 48201, USA; SpinTech, Inc., Bingham Farms, Michigan 48025, USA
| | - Zenghui Cheng
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China
| | - Zhijia Jin
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China
| | - Yan Li
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China
| | - Sean K Sethi
- Department of Radiology, Wayne State University, 3990 John R, Detroit, Michigan 48201, USA; SpinTech, Inc., Bingham Farms, Michigan 48025, USA
| | - Yixi He
- Department of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yongsheng Chen
- Department of Neurology, Wayne State University, 4201 St. Antoine, Detroit, Michigan 48201, USA
| | | | - Shengdi Chen
- Department of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Fuhua Yan
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China.
| | - E Mark Haacke
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China; Department of Radiology, Wayne State University, 3990 John R, Detroit, Michigan 48201, USA; Department of Biomedical Engineering, Wayne State University, 3990 John R, Detroit, Michigan 48201, USA; SpinTech, Inc., Bingham Farms, Michigan 48025, USA; Department of Neurology, Wayne State University, 4201 St. Antoine, Detroit, Michigan 48201, USA
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24
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Pirastru A, Chen Y, Pelizzari L, Baglio F, Clerici M, Haacke EM, Laganà MM. Quantitative MRI using STrategically Acquired Gradient Echo (STAGE): optimization for 1.5 T scanners and T1 relaxation map validation. Eur Radiol 2021; 31:4504-4513. [PMID: 33409790 DOI: 10.1007/s00330-020-07515-z] [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: 07/23/2020] [Revised: 09/24/2020] [Accepted: 11/12/2020] [Indexed: 11/24/2022]
Abstract
OBJECTIVES The strategically acquired gradient echo (STAGE) protocol, developed for 3T scanners, allows one to derive quantitative maps such as T1, T2*, proton density, and quantitative susceptibility mapping in about 5 min. Our aim was to adapt the STAGE sequences for 1.5T scanners which are still commonly used in clinical practice. Furthermore, the accuracy and repeatability of the STAGE-derived T1 estimate were tested. METHODS Flip angle (FA) optimization was performed using a theoretical simulation by maximizing signal-to-noise ratio, contrast-to-noise ratio, and T1 precision. The FA choice was further refined with the ISMRM/NIST phantom and in vivo acquisitions. The accuracy of the T1 estimate was assessed by comparing STAGE-derived T1 values with T1 maps obtained with an inversion recovery sequence. T1 accuracy was investigated for both the phantom and in vivo data. Finally, one subject was acquired 10 times once a week and a group of 27 subjects was scanned once. The T1 coefficient of variation (COV) was computed to assess scan-rescan and physiological variability, respectively. RESULTS The FA1,2 = 7°,38° were identified as the optimal FA pair at 1.5T. The T1 estimate errors were below 3% and 5% for phantom and in vivo measurements, respectively. COV for different tissues ranged from 1.8 to 4.8% for physiological variability, and between 0.8 and 2% for scan-rescan repeatability. CONCLUSION The optimized STAGE protocol can provide accurate and repeatable T1 mapping along with other qualitative images and quantitative maps in about 7 min on 1.5T scanners. This study provides the groundwork to assess the role of STAGE in clinical settings. KEY POINTS • The STAGE imaging protocol was optimized for use on 1.5T field strength scanners. • A practical STAGE protocol makes it possible to derive quantitative maps (i.e., T1, T2*, PD, and QSM) in about 7 min at 1.5T. • The T1 estimate derived from the STAGE protocol showed good accuracy and repeatability.
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Affiliation(s)
- Alice Pirastru
- IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Via Alfonso Capecelatro, 66, 20148, Milan, Italy
| | - Yongsheng Chen
- Department of Neurology, Wayne State University School of Medicine, 4201 St Antoine St, Detroit, MI 48201, USA
| | - Laura Pelizzari
- IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Via Alfonso Capecelatro, 66, 20148, Milan, Italy
| | - Francesca Baglio
- IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Via Alfonso Capecelatro, 66, 20148, Milan, Italy
| | - Mario Clerici
- IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Via Alfonso Capecelatro, 66, 20148, Milan, Italy.,Department of Pathophysiology and Transplantation, University of Milan, Via Francesco Sforza, 35, Milan, 20122, Italy
| | - E Mark Haacke
- Department of Neurology, Wayne State University School of Medicine, 4201 St Antoine St, Detroit, MI 48201, USA.,The MRI Institute for Biomedical Research, 30200 Telegraph Rd, Bingham Farms, MI 48025, USA.,Magnetic Resonance Innovations Inc, 30200 Telegraph Rd, Bingham Farms, MI 48025, USA.,Department of Radiology, Wayne State University School of Medicine, 3990 John R St, Detroit, MI 48201, USA
| | - Maria Marcella Laganà
- IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Via Alfonso Capecelatro, 66, 20148, Milan, Italy.
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25
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Li Y, Sethi SK, Zhang C, Miao Y, Yerramsetty KK, Palutla VK, Gharabaghi S, Wang C, He N, Cheng J, Yan F, Haacke EM. Iron Content in Deep Gray Matter as a Function of Age Using Quantitative Susceptibility Mapping: A Multicenter Study. Front Neurosci 2021; 14:607705. [PMID: 33488350 PMCID: PMC7815653 DOI: 10.3389/fnins.2020.607705] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Accepted: 12/07/2020] [Indexed: 12/21/2022] Open
Abstract
PURPOSE To evaluate the effect of resolution on iron content using quantitative susceptibility mapping (QSM); to verify the consistency of QSM across field strengths and manufacturers in evaluating the iron content of deep gray matter (DGM) of the human brain using subjects from multiple sites; and to establish a susceptibility baseline as a function of age for each DGM structure using both a global and regional iron analysis. METHODS Data from 623 healthy adults, ranging from 20 to 90 years old, were collected across 3 sites using gradient echo imaging on one 1.5 Tesla and two 3.0 Tesla MR scanners. Eight subcortical gray matter nuclei were semi-automatically segmented using a full-width half maximum threshold-based analysis of the QSM data. Mean susceptibility, volume and total iron content with age correlations were evaluated for each measured structure for both the whole-region and RII (high iron content regions) analysis. For the purpose of studying the effect of resolution on QSM, a digitized model of the brain was applied. RESULTS The mean susceptibilities of the caudate nucleus (CN), globus pallidus (GP) and putamen (PUT) were not significantly affected by changing the slice thickness from 0.5 to 3 mm. But for small structures, the susceptibility was reduced by 10% for 2 mm thick slices. For global analysis, the mean susceptibility correlated positively with age for the CN, PUT, red nucleus (RN), substantia nigra (SN), and dentate nucleus (DN). There was a negative correlation with age in the thalamus (THA). The volumes of most nuclei were negatively correlated with age. Apart from the GP, THA, and pulvinar thalamus (PT), all the other structures showed an increasing total iron content despite the reductions in volume with age. For the RII regional high iron content analysis, mean susceptibility in most of the structures was moderately to strongly correlated with age. Similar to the global analysis, apart from the GP, THA, and PT, all structures showed an increasing total iron content. CONCLUSION A reasonable estimate for age-related iron behavior can be obtained from a large cross site, cross manufacturer set of data when high enough resolutions are used. These estimates can be used for correcting for age related iron changes when studying diseases like Parkinson's disease, Alzheimer's disease, and other iron related neurodegenerative diseases.
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Affiliation(s)
- Yan Li
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Sean K. Sethi
- Department of Radiology, Wayne State University, Detroit, MI, United States
- MR Innovations, Inc., Bingham Farms, MI, United States
- SpinTech, Inc., Bingham Farms, MI, United States
| | - Chunyan Zhang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yanwei Miao
- Department of Radiology, First Affiliated Hospital of Dalian Medical University, Dalian, China
| | | | | | | | - Chengyan Wang
- Human Phenome Institute, Fudan University, Shanghai, China
| | - Naying He
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Fuhua Yan
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ewart Mark Haacke
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Radiology, Wayne State University, Detroit, MI, United States
- MR Innovations, Inc., Bingham Farms, MI, United States
- SpinTech, Inc., Bingham Farms, MI, United States
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Chan KS, Marques JP. SEPIA-Susceptibility mapping pipeline tool for phase images. Neuroimage 2020; 227:117611. [PMID: 33309901 DOI: 10.1016/j.neuroimage.2020.117611] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 10/14/2020] [Accepted: 11/25/2020] [Indexed: 12/20/2022] Open
Abstract
Quantitative susceptibility mapping (QSM) is a physics-driven computational technique that has a high sensitivity in quantifying iron deposition based on MRI phase images. Furthermore, it has a unique ability to distinguish paramagnetic and diamagnetic contributions such as haemorrhage and calcification based on image contrast. These properties have contributed to a growing interest to use QSM not only in research but also in clinical applications. However, it is challenging to obtain high quality susceptibility map because of its ill-posed nature, especially for researchers who have less experience with QSM and the optimisation of its pipeline. In this paper, we present an open-source processing pipeline tool called SuscEptibility mapping PIpeline tool for phAse images (SEPIA) dedicated to the post-processing of MRI phase images and QSM. SEPIA connects various QSM toolboxes freely available in the field to offer greater flexibility in QSM processing. It also provides an interactive graphical user interface to construct and execute a QSM processing pipeline, simplifying the workflow in QSM research. The extendable design of SEPIA also allows developers to deploy their methods in the framework, providing a platform for developers and researchers to share and utilise the state-of-the-art methods in QSM.
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Affiliation(s)
- Kwok-Shing Chan
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands.
| | - José P Marques
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
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Zun Z, Kapse K, Quistorff J, Andescavage N, Gimovsky AC, Ahmadzia H, Limperopoulos C. Feasibility of QSM in the human placenta. Magn Reson Med 2020; 85:1272-1281. [PMID: 32936489 DOI: 10.1002/mrm.28502] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Revised: 08/05/2020] [Accepted: 08/07/2020] [Indexed: 12/28/2022]
Abstract
PURPOSE Quantitative susceptibility mapping (QSM) is an emerging tool for the precise characterization of human tissue, including regional oxygenation. A critical function of the human placenta is oxygen transfer to the developing fetus, which remains difficult to study in utero. The purpose of this study is to investigate the feasibility of performing QSM in the human placenta in utero. METHODS In healthy pregnant women, 3D gradient echo data of the placenta were acquired with prospective respiratory gating at 1.5 Tesla and 3 Tesla. A brief period (6-7 min) of maternal hyperoxia was induced to increase placental oxygenation in a subset of women scanned at 3 Tesla, and data were acquired before and during oxygen administration. Susceptibility and T 2 ∗ / R 2 ∗ maps were reconstructed from gradient echo data, and mean and SD of these measures within the whole placenta were calculated. RESULTS A total of 54 women were studied at a mean gestational age of 30.7 ± 4.2 (range: 24 5/7-38 4/7) weeks. Susceptibility and T 2 ∗ maps demonstrated lobular contrast reflecting regional oxygenation difference at both field strengths. SD of susceptibilities, mean R 2 ∗ , and SD of R 2 ∗ of the placenta showed a linear relationship with gestational age (P < .01 for all). These measures were also responsive to maternal hyperoxia, and there was an increasing response with advancing gestational age (P < .01 for all). CONCLUSION This study demonstrates the feasibility of performing placental QSM in pregnant women and supports the potential for placental QSM to provide noninvasive in vivo assessment of placental oxygenation.
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Affiliation(s)
- Zungho Zun
- Developing Brain Institute, Division of Diagnostic Imaging and Radiology, Children's National Hospital, Washington, DC, USA.,Division of Fetal and Transitional Medicine, Children's National Hospital, Washington, DC, USA.,Department of Pediatrics, School of Medicine and Health Sciences, George Washington University, Washington, DC, USA.,Department of Radiology, School of Medicine and Health Sciences, George Washington University, Washington, DC, USA
| | - Kushal Kapse
- Developing Brain Institute, Division of Diagnostic Imaging and Radiology, Children's National Hospital, Washington, DC, USA
| | - Jessica Quistorff
- Developing Brain Institute, Division of Diagnostic Imaging and Radiology, Children's National Hospital, Washington, DC, USA
| | - Nickie Andescavage
- Department of Pediatrics, School of Medicine and Health Sciences, George Washington University, Washington, DC, USA.,Division of Neonatology, Children's National Hospital, Washington, DC, USA
| | - Alexis C Gimovsky
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, School of Medicine and Health Sciences, George Washington University, Washington, DC, USA
| | - Homa Ahmadzia
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, School of Medicine and Health Sciences, George Washington University, Washington, DC, USA
| | - Catherine Limperopoulos
- Developing Brain Institute, Division of Diagnostic Imaging and Radiology, Children's National Hospital, Washington, DC, USA.,Division of Fetal and Transitional Medicine, Children's National Hospital, Washington, DC, USA.,Department of Pediatrics, School of Medicine and Health Sciences, George Washington University, Washington, DC, USA.,Department of Radiology, School of Medicine and Health Sciences, George Washington University, Washington, DC, USA
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Zhang C, Wu B, Wang X, Chen C, Zhao R, Lu H, Zhu H, Xue B, Liang H, Sethi SK, Haacke EM, Zhu J, Peng Y, Cheng J. Vascular, flow and perfusion abnormalities in Parkinson's disease. Parkinsonism Relat Disord 2020; 73:8-13. [DOI: 10.1016/j.parkreldis.2020.02.019] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2019] [Revised: 02/24/2020] [Accepted: 02/25/2020] [Indexed: 12/15/2022]
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Intracranial iron distribution and quantification in aceruloplasminemia: A case study. Magn Reson Imaging 2020; 70:29-35. [PMID: 32114188 DOI: 10.1016/j.mri.2020.02.016] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Revised: 02/07/2020] [Accepted: 02/27/2020] [Indexed: 11/23/2022]
Abstract
OBJECTIVES Aceruloplasminemia (ACP) is a rare autosomal recessive disorder characterized by intracranial and visceral iron overload. With R2*-based imaging or quantitative susceptibility mapping (QSM), it is feasible to measure iron in the brain quantitatively, although to date this has not yet been done for patients with ACP. The aim of this study was to provide quantitative iron measurements for each affected brain region in an ACP patient with the potential to do so in all future ACP patients. This may shed light on the link between brain iron metabolism and the territories affected by ceruloplasmin function. METHODS We imaged a patient with ACP using a 3T magnetic resonance imaging scanner with a fifteen-channel head coil. We manually demarcated gray matter and white matter on the Strategically Acquired Gradient Echo (STAGE) images, and calculated values for susceptibility and R2* in these regions. Correlation analysis was performed between the R2* values and the susceptibility values. RESULTS Besides the usual territories affected in ACP, we also discovered that the mammillary bodies and the lateral habenulae had significant increases in iron, and the hippocampus was severely affected both in terms of iron content and abnormal tissue signal. We also noted that the iron in the cortical gray matter appeared to be deposited in the inner layers. Moreover, several pathways between the superior colliculus and the pulvinar thalamus, between the caudate and putamen anteriorly and between the caudate and pulvinar thalamus posteriorly were also evident. Finally, R2* correlated strongly with the QSM data (R2 = 0.67, t = 6.78, p < 0.001). CONCLUSION QSM and R2* have proven to be sensitive and quantitative means by which to measure iron content in the brain. Our findings included several newly noted affected brain regions of iron overload and provided some new aspects of iron metabolism in ACP that may be further applicable to other pathologic conditions. Furthermore, our study may pave the way for assessing efficacy of iron chelation therapy in these patients and for other common iron related neurodegenerative disorders.
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Ahmadi SA, Bötzel K, Levin J, Maiostre J, Klein T, Wein W, Rozanski V, Dietrich O, Ertl-Wagner B, Navab N, Plate A. Analyzing the co-localization of substantia nigra hyper-echogenicities and iron accumulation in Parkinson's disease: A multi-modal atlas study with transcranial ultrasound and MRI. NEUROIMAGE-CLINICAL 2020; 26:102185. [PMID: 32050136 PMCID: PMC7013333 DOI: 10.1016/j.nicl.2020.102185] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/01/2019] [Revised: 01/12/2020] [Accepted: 01/14/2020] [Indexed: 12/23/2022]
Abstract
Volumetric 3D analysis of hyper-echogenicities from transcranial ultrasound (TCS). First multi-modal analysis of TCS and QSM-MRI in Parkinson's disease. Computations of TCS-MRI registration and a novel multi-modal anatomical template. TCS hyper-echogenicities are co-localized with QSM iron accumulations. Co-localizations occur in the SNc and VTA, but nowhere else in the midbrain.
Background Transcranial B-mode sonography (TCS) can detect hyperechogenic speckles in the area of the substantia nigra (SN) in Parkinson's disease (PD). These speckles correlate with iron accumulation in the SN tissue, but an exact volumetric localization in and around the SN is still unknown. Areas of increased iron content in brain tissue can be detected in vivo with magnetic resonance imaging, using quantitative susceptibility mapping (QSM). Methods In this work, we i) acquire, co-register and transform TCS and QSM imaging from a cohort of 23 PD patients and 27 healthy control subjects into a normalized atlas template space and ii) analyze and compare the 3D spatial distributions of iron accumulation in the midbrain, as detected by a signal increase (TCS+ and QSM+) in both modalities. Results We achieved sufficiently accurate intra-modal target registration errors (TRE<1 mm) for all MRI volumes and multi-modal TCS-MRI co-localization (TRE<4 mm) for 66.7% of TCS scans. In the caudal part of the midbrain, enlarged TCS+ and QSM+ areas were located within the SN pars compacta in PD patients in comparison to healthy controls. More cranially, overlapping TCS+ and QSM+ areas in PD subjects were found in the area of the ventral tegmental area (VTA). Conclusion Our findings are concordant with several QSM-based studies on iron-related alterations in the area SN pars compacta. They substantiate that TCS+ is an indicator of iron accumulation in Parkinson's disease within and in the vicinity of the SN. Furthermore, they are in favor of an involvement of the VTA and thereby the mesolimbic system in Parkinson's disease.
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Affiliation(s)
- Seyed-Ahmad Ahmadi
- Department of Neurology, Ludwig-Maximilians University, Marchioninistraße 15, Munich 81377, Germany; German Center for Vertigo and Balance Disorders (DSGZ), Ludwig-Maximilians University, Marchioninistraße 15, Munich 81377, Germany; Chair for Computer Aided Medical Procedures (CAMP), Technical University of Munich, Boltzmannstr. 3, Garching 85748, Germany
| | - Kai Bötzel
- Department of Neurology, Ludwig-Maximilians University, Marchioninistraße 15, Munich 81377, Germany
| | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians University, Marchioninistraße 15, Munich 81377, Germany
| | - Juliana Maiostre
- Department of Neurology, Ludwig-Maximilians University, Marchioninistraße 15, Munich 81377, Germany
| | | | - Wolfgang Wein
- ImFusion GmbH, Agnes-Pockels-Bogen 1, München 80992, Germany
| | | | - Olaf Dietrich
- Department of Radiology, Ludwig-Maximilians University, Marchioninistr. 15, Munich 81377, Germany
| | - Birgit Ertl-Wagner
- Department of Radiology, Ludwig-Maximilians University, Marchioninistr. 15, Munich 81377, Germany; The Hospital for Sick Children, 555 University Avenue, Toronto, Ontario M5G 1 × 8, Canada
| | - Nassir Navab
- Chair for Computer Aided Medical Procedures (CAMP), Technical University of Munich, Boltzmannstr. 3, Garching 85748, Germany
| | - Annika Plate
- Department of Neurology, Ludwig-Maximilians University, Marchioninistraße 15, Munich 81377, Germany.
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Cheng Z, He N, Huang P, Li Y, Tang R, Sethi SK, Ghassaban K, Yerramsetty KK, Palutla VK, Chen S, Yan F, Haacke EM. Imaging the Nigrosome 1 in the substantia nigra using susceptibility weighted imaging and quantitative susceptibility mapping: An application to Parkinson's disease. Neuroimage Clin 2019; 25:102103. [PMID: 31869769 PMCID: PMC6933220 DOI: 10.1016/j.nicl.2019.102103] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Revised: 10/14/2019] [Accepted: 11/18/2019] [Indexed: 10/31/2022]
Abstract
Parkinson's disease (PD) is a clinically heterogeneous chronic progressive neuro-degenerative disease with loss of dopaminergic neurons in the nigrosome 1 (N1) territory of the substantia nigra pars compacta (SNpc). To date, there has been a major effort to identify changes in the N1 territory by monitoring increases of iron in the SNpc. However, there is no standard protocol being used to visualize or characterize the N1 territory. Therefore, the purpose of this study was to create a robust high quality, rapid imaging protocol, determine a slice by slice characterization of the appearance of N1 (the "N1 sign") and evaluate the loss of the N1 sign in order to differentiate healthy controls (HCs) from patients with PD. Firstly, one group of 10 HCs was used to determine the choice of imaging parameters. Secondly, another group of 80 HCs was used to characterize the appearance of the N1 sign and train the raters. In this step, the magnitude, susceptibility weighted images (SWI), quantitative susceptibility maps (QSM) and true SWI (tSWI) images were all reviewed using data from a 3D gradient recalled echo sequence. A resolution of 0.67 mm × 0.67 mm × 1.34 mm was chosen based on the ability to cover all the basal ganglia, midbrain and dentate nucleus with good signal-to-noise with echo times of 11 ms and 20 ms. Thirdly, 80 Parkinsonism and related disorders patients [idiopathic Parkinson's disease (IPD): 57; atypical parkinsonian syndromes (APs): 14; essential tremor (ET): 9] and one additional group of 80 age-matched HCs were blindly analyzed for the presence or absence of the N1 sign for a differential diagnosis. From the first group of 80 HCs, all of the 76 (100%) cases (4 were excluded due to motion artifacts) showed the N1 sign in one form or another after reviewing the first 5 caudal slices of the SN. For the second group of 80 HCs, 78 (97.5%) showed the N1 sign in at least 2 slices. Of the 80 Parkinsonism and related disorders patients, 32 (56.1%, 32/57) IPD and 6 (42.9%, 6/14) APs showed a bilateral loss of the N1 sign, 12 (21.1%, 12/57) IPD and 6 (42.9%, 6/14) APs showed the N1 sign unilaterally and 13 (22.8%, 13/57) IPD and 2 (14.2%, 2/14) APs showed the N1 sign bilaterally. Also, all 9 (100%, 9/9) ET patients showed the N1 sign bilaterally. The mean total structure and mean high susceptibility region for the SN for both IPD and APs patients with bilateral loss of N1 were higher than those of the HCs (p < 0.002). In conclusion, the N1 sign can be consistently visualized using tSWI with a resolution of at least 0.67 mm × 0.67 mm × 1.34 mm and can be seen in 95% of HCs.
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Affiliation(s)
- Zenghui Cheng
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Er Road, Shanghai, 200025, China
| | - Naying He
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Er Road, Shanghai, 200025, China
| | - Pei Huang
- Department of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Er Road, Shanghai, 200025, China
| | - Yan Li
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Er Road, Shanghai, 200025, China
| | - Rongbiao Tang
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Er Road, Shanghai, 200025, China
| | - Sean K. Sethi
- Magnetic Resonance Innovations, Inc, 30200 Telegraph Road, Bingham Farms, MI, 48025, USA
- Department of Radiology, Wayne State University, 42 W. Warren Ave. Detroit, MI, 48202, USA
| | - Kiarash Ghassaban
- Department of Radiology, Wayne State University, 42 W. Warren Ave. Detroit, MI, 48202, USA
- Department of Biomedical Engineering, Wayne State University, 42 W. Warren Ave. Detroit, MI, 48202, USA
| | - Kiran Kumar Yerramsetty
- MR Medical Imaging Innovations India Pvt. Ltd, Flat No.401, Plot No.397, SAI HOUSE, Ayyappa Society, Madhapur, Hyderabad, Telangana, 500081, India
| | - Vinay Kumar Palutla
- MR Medical Imaging Innovations India Pvt. Ltd, Flat No.401, Plot No.397, SAI HOUSE, Ayyappa Society, Madhapur, Hyderabad, Telangana, 500081, India
| | - Shengdi Chen
- Department of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Er Road, Shanghai, 200025, China
| | - Fuhua Yan
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Er Road, Shanghai, 200025, China
| | - E. Mark Haacke
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Er Road, Shanghai, 200025, China
- Department of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Er Road, Shanghai, 200025, China
- Magnetic Resonance Innovations, Inc, 30200 Telegraph Road, Bingham Farms, MI, 48025, USA
- Department of Radiology, Wayne State University, 42 W. Warren Ave. Detroit, MI, 48202, USA
- Department of Biomedical Engineering, Wayne State University, 42 W. Warren Ave. Detroit, MI, 48202, USA
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He N, Sethi SK, Zhang C, Li Y, Chen Y, Sun B, Yan F, Haacke EM. Visualizing the lateral habenula using susceptibility weighted imaging and quantitative susceptibility mapping. Magn Reson Imaging 2019; 65:55-61. [PMID: 31655137 DOI: 10.1016/j.mri.2019.09.005] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2019] [Revised: 09/03/2019] [Accepted: 09/15/2019] [Indexed: 12/22/2022]
Abstract
The habenulae consist of a pair of small nuclei which bridge the limbic forebrain and midbrain monoaminergic centers. They are implicated in major depressive disorders due to abnormal phasic response when provoked by a conditioned stimulus. The lateral habenula (Lhb) is believed to be involved in dopamine metabolism and is now a target for deep brain stimulation, a treatment which has shown promising anti-depression effects. We imaged the habenulae with susceptibility weighted imaging (SWI) and quantitative susceptibility mapping (QSM) in order to localize the lateral habenula. Fifty-six healthy controls were recruited for this study. For the quantitative assessment, we traced the structure to compute volume from magnitude images and mean susceptibility bilaterally for the habenula on QSM. Thresholding methods were used to delineate the Lhb habenula on QSM. SWI, true SWI (tSWI), and QSM data were subjectively reviewed for increased Lhb contrast. SWI, QSM, and tSWI showed bilateral signal changes in the posterior location of the habenulae relative to the anterior location, which may indicate increased putative iron content within the Lhb. This signal behavior was shown in 41/44 (93%) subjects. In summary, it is possible to localize the lateral component of the habenula using SWI and QSM at 3 T.
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Affiliation(s)
- Naying He
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Sean K Sethi
- Magnetic Resonance Innovations, Inc., Bingham Farms, MI, USA; The MRI Institute for Biomedical Research, Bingham Farms, MI, USA; Department of Radiology, Wayne State University, Detroit, MI, USA
| | - Chencheng Zhang
- Department of Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Li
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yongsheng Chen
- Department of Neurology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Bomin Sun
- Department of Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fuhua Yan
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - E Mark Haacke
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Magnetic Resonance Innovations, Inc., Bingham Farms, MI, USA; The MRI Institute for Biomedical Research, Bingham Farms, MI, USA; Department of Radiology, Wayne State University, Detroit, MI, USA
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Ghassaban K, He N, Sethi SK, Huang P, Chen S, Yan F, Haacke EM. Regional High Iron in the Substantia Nigra Differentiates Parkinson's Disease Patients From Healthy Controls. Front Aging Neurosci 2019; 11:106. [PMID: 31191294 PMCID: PMC6546029 DOI: 10.3389/fnagi.2019.00106] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Accepted: 04/23/2019] [Indexed: 11/13/2022] Open
Abstract
Background: Iron is important in the pathophysiology of Parkinson’s disease (PD) specifically related to degeneration of the substantia nigra (SN). Magnetic resonance imaging (MRI) can be used to measure brain iron in the entire structure but this approach is insensitive to regional changes in iron content. Objective: The goal of this work was to use quantitative susceptibility mapping (QSM) and R2∗ to quantify both global and regional brain iron in PD patients and healthy controls (HC) to ascertain if regional changes correlate with clinical conditions and can be used to discriminate patients from controls. Methods: Susceptibility and R2∗ maps of 25 PD and 24 HC subjects were reconstructed from data collected on a 3T GE scanner. For the susceptibility maps, three-dimensional regions-of-interest (ROIs) were traced on eight deep gray matter (DGM) structures and an age-based threshold was applied to define regions of high iron content. The same multi-slice ROIs were duplicated on the R2∗ maps as well. Mean susceptibility values of both global and regional high iron (RII) content along with global R2∗ values were measured and compared not only between the two cohorts, but also to susceptibility and R2∗ baselines as a function of age. Finally, clinical features were compared for those PD patients lying above and below the upper 95% regional susceptibility-age prediction intervals. Results: The SN was the only structure showing significantly higher susceptibility in PD patients compared to controls globally (p < 0.01) and regionally (p < 0.001). The R2∗ values were also higher only in the SN of PD patients compared to the healthy cohort (p < 0.05). Furthermore, those patients with abnormal susceptibility values lying above the upper 95% prediction intervals had significantly higher united Parkinson’s diagnostic rating scores. R2∗ values had larger errors and showed larger dispersion as a function of age than QSM data for global analysis while the dispersion was significantly less for QSM using the RII iron content. Conclusion: Abnormal iron deposition in the SN, especially in RII areas, could serve as a biomarker to distinguish PD patients from HC and to assess disease severity.
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Affiliation(s)
- Kiarash Ghassaban
- Department of Radiology, Wayne State University, Detroit, MI, United States
| | - Naying He
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Sean Kumar Sethi
- Magnetic Resonance Innovations, Inc., Bingham Farms, MI, United States
| | - Pei Huang
- Department of Neurology & Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shengdi Chen
- Department of Neurology & Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fuhua Yan
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ewart Mark Haacke
- Department of Radiology, Wayne State University, Detroit, MI, United States.,Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Magnetic Resonance Innovations, Inc., Bingham Farms, MI, United States
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Chen Q, Chen Y, Zhang Y, Wang F, Yu H, Zhang C, Jiang Z, Luo W. Iron deposition in Parkinson's disease by quantitative susceptibility mapping. BMC Neurosci 2019; 20:23. [PMID: 31117957 PMCID: PMC6532252 DOI: 10.1186/s12868-019-0505-9] [Citation(s) in RCA: 71] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Accepted: 05/15/2019] [Indexed: 12/31/2022] Open
Abstract
Background Patients with Parkinson’s disease (PD) have elevated levels of brain iron, especially in the nigrostriatal dopaminergic system. The purpose of this study was to evaluate the iron deposition in the substantia nigra (SN) and other deep gray matter nuclei of PD patients using quantitative susceptibility mapping (QSM) and its clinical relationship, and to explore whether there is a gradient of iron deposition pattern in globus pallidus (GP)–fascicula nigrale (FN)–SN pathway. Methods Thirty-three PD patients and 26 age- and sex-matched healthy volunteers (HVs) were included in this study. Subjects underwent brain MRI and constructed QSM data. The differences in iron accumulation in the deep gray matter nuclei of the subjects were compared, including the PD group and the control group, the early-stage PD (EPD) group and the late-stage PD (LPD) group. The iron deposition pattern of the GP–FN–SN pathway was analyzed. Results The PD group showed increased susceptibility values in the FN, substantia nigra pars compacta (SNc), internal globus pallidus (GPi), red nucleus (RN), putamen and caudate nucleus compared with the HV group (P < 0.05). In both PD and HV group, iron deposition along the GP–FN–SN pathway did not show an increasing gradient pattern. The SNc, substantia nigra pars reticulata (SNr) and RN showed significantly increased susceptibility values in the LPD patients compared with the EPD patients. Conclusion PD is closely related to iron deposition in the SNc. The condition of PD patients is related to the SNc and the SNr. There is not an increasing iron deposition gradient along the GP–FN–SN pathway. The source and mechanism of iron deposition in the SN need to be further explored, as does the relationship between the iron deposition in the RN and PD.
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Affiliation(s)
- Qiqi Chen
- Department of Radiology, the Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Yiting Chen
- Department of Neurology, the Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Yue Zhang
- Department of Radiology, the Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Furu Wang
- Department of Radiology, the Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Hongchang Yu
- Department of Radiology, the Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Caiyuan Zhang
- Department of Radiology, the Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Zhen Jiang
- Department of Radiology, the Second Affiliated Hospital of Soochow University, Suzhou, China.
| | - Weifeng Luo
- Department of Neurology, the Second Affiliated Hospital of Soochow University, Suzhou, China.
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Karsa A, Punwani S, Shmueli K. The effect of low resolution and coverage on the accuracy of susceptibility mapping. Magn Reson Med 2019; 81:1833-1848. [PMID: 30338864 PMCID: PMC6492151 DOI: 10.1002/mrm.27542] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Revised: 08/22/2018] [Accepted: 08/30/2018] [Indexed: 01/04/2023]
Abstract
PURPOSE Quantitative susceptibility mapping (QSM) has found increasing clinical applications. However, to reduce scan time, clinical acquisitions often use reduced resolution and coverage, particularly in the through-slice dimension. The effect of these factors on QSM has begun to be assessed using only balloon phantoms and downsampled brain images. Here, we investigate the effects (and their sources) of low resolution or coverage on QSM using both simulated and acquired images. METHODS Brain images were acquired at 1 mm isotropic resolution and full brain coverage, and low resolution (up to 6 mm slice thickness) or coverage (down to 20 mm) in 5 healthy volunteers. Images at reduced resolution or coverage were also simulated in these volunteers and in a new, anthropomorphic, numerical phantom. Mean susceptibilities in 5 brain regions, including white matter, were investigated over varying resolution and coverage. RESULTS The susceptibility map contrast decreased with increasing slice thickness and spacing, and with decreasing coverage below ~40 mm for 2 different QSM pipelines. Our simulations showed that calculated susceptibility values were erroneous at low resolution or very low coverage, because of insufficient sampling and overattenuation of the susceptibility-induced field perturbations. Susceptibility maps calculated from simulated and acquired images showed similar behavior. CONCLUSIONS Both low resolution and low coverage lead to loss of contrast and errors in susceptibility maps. The widespread clinical practice of using low resolution and coverage does not provide accurate susceptibility maps. Simulations in images of healthy volunteers and in a new, anthropomorphic numerical phantom were able to accurately model low-resolution and low-coverage acquisitions.
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Affiliation(s)
- Anita Karsa
- Department of Medical Physics and Biomedical EngineeringUniversity College LondonLondonUnited Kingdom
| | - Shonit Punwani
- Centre for Medical ImagingUniversity College LondonLondonUnited Kingdom
| | - Karin Shmueli
- Department of Medical Physics and Biomedical EngineeringUniversity College LondonLondonUnited Kingdom
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Fujiwara T, Watanabe Y, Tanaka H, Takahashi H, Nabatame S, Yi W, Tomiyama N. Quantitative susceptibility mapping (QSM) evaluation of infantile neuroaxonal dystrophy. BJR Case Rep 2019; 5:20180078. [PMID: 31501698 PMCID: PMC6726173 DOI: 10.1259/bjrcr.20180078] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2018] [Revised: 11/26/2018] [Accepted: 12/03/2018] [Indexed: 02/05/2023] Open
Abstract
We present the first case of twins with infantile neuroaxonal dystrophy evaluating brain iron deposition using quantitative susceptibility mapping (QSM). A 6-year-old boy who was normal at birth had psychomotor regression and hypotonia from 2-years-old. Brain MRI showed low intensity areas in globus pallidus (GP) and substantia nigra (SN) on T 2* weighted imaging. QSM values of GP and SN were 0.19 and 0.29 ppm, respectively. His twin brother showed almost the same imaging findings. Follow-up MRI revealed increase of QSM value in GP and SN.
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Affiliation(s)
- Takuya Fujiwara
- Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Yoshiyuki Watanabe
- Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Hisashi Tanaka
- Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Hiroto Takahashi
- Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Shin Nabatame
- Department of Pediatrics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Wang Yi
- Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | - Noriyuki Tomiyama
- Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Suita, Japan
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Sethi SK, Kisch SJ, Ghassaban K, Rajput A, Rajput A, Babyn PS, Liu S, Szkup P, Mark Haacke E. Iron quantification in Parkinson's disease using an age-based threshold on susceptibility maps: The advantage of local versus entire structure iron content measurements. Magn Reson Imaging 2019; 55:145-152. [DOI: 10.1016/j.mri.2018.10.001] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Revised: 08/29/2018] [Accepted: 10/06/2018] [Indexed: 01/09/2023]
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Zhang W, Zhou Y, Li Q, Xu J, Yan S, Cai J, Jiaerken Y, Lou M. Brain Iron Deposits in Thalamus Is an Independent Factor for Depressive Symptoms Based on Quantitative Susceptibility Mapping in an Older Adults Community Population. Front Psychiatry 2019; 10:734. [PMID: 31681043 PMCID: PMC6803490 DOI: 10.3389/fpsyt.2019.00734] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2018] [Accepted: 09/12/2019] [Indexed: 12/02/2022] Open
Abstract
Objectives: With the trend of an aging population, an increasing prevalence of late-life depression has been identified. Several studies demonstrated that iron deposition was significantly related to the severity of symptoms in patients with depression. However, whether brain iron deposits influence depressive symptoms is so far unclear in the community of older adults. We measured iron deposition in deep intracranial nucleus by quantitative susceptibility mapping (QSM) and aimed to explore the relationship between iron deposition and depressive symptoms. Methods: We reviewed the data of a community population from CIRCLE study, which is a single-center prospective observational study that enrolled individuals above 40 years old with cerebral small vessel disease (SVD), while free of known dementia or stroke. We evaluated regional iron deposits on QSM, measured the volume of white matter hyperintensities (WMHs) on T2 fluid-attenuated inversion recovery, and assessed depressive symptoms by Hamilton depression scale (HDRS). We defined depressive symptom as HDRS > 7. Results: A total of 185 participants were enrolled. Participants in depressive symptom group had higher QSM value in thalamus than control group (18.79 ± 14.94 vs 13.29 ± 7.64, p = 0.003). The QSM value in the thalamus was an independent factor for the presence of depressive symptoms (OR = 1.055; 95% CI: 1.011-1.100; p = 0.013). The regional QSM values in other areas were not associated with HDRS score (all p > 0.05). No significant correlations were observed between WMHs volume and HDRS score (p > 0.05), or regional QSM values and WMHs volume (all p > 0.05). Conclusions: Our study demonstrated that iron deposits in the thalamus were related to the depressive symptoms in older adults.
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Affiliation(s)
- Wenhua Zhang
- Department of Neurology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China
| | - Ying Zhou
- Department of Neurology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China
| | - Qingqing Li
- Department of Neurology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China
| | - Jinjin Xu
- Department of Neurology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China
| | - Shenqiang Yan
- Department of Neurology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China
| | - Jinsong Cai
- Department of Radiology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China
| | - Yeerfan Jiaerken
- Department of Radiology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China
| | - Min Lou
- Department of Neurology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China
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Ning N, Liu C, Wu P, Hu Y, Zhang W, Zhang L, Li M, Gho SM, Kim DH, Guo H, Yang J, Jin C. Spatiotemporal variations of magnetic susceptibility in the deep gray matter nuclei from 1 month to 6 years: A quantitative susceptibility mapping study. J Magn Reson Imaging 2018; 49:1600-1609. [PMID: 30569483 DOI: 10.1002/jmri.26579] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Revised: 10/30/2018] [Accepted: 10/30/2018] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Quantitative susceptibility mapping (QSM) is emerging as a technique that quantifies the paramagnetic nonheme iron in brain tissue. Brain iron quantification during early development provides insights into the underlying mechanism of brain maturation. PURPOSE To quantify the spatiotemporal variations of brain iron-related magnetic susceptibility in deep gray matter nuclei during early development by using QSM. STUDY TYPE Retrospective. SUBJECTS Eighty-seven infants and children aged 1 month to 6 years. FIELD STRENGTH/SEQUENCE Enhanced T2 *-weighted angiography using a 3D gradient-echo sequence at 3.0T. ASSESSMENT QSM was calculated by modified sophisticated harmonic artifact reduction for phase data and sparse linear equations and sparse least squares-based algorithm. Means of susceptibility in deep gray matter nuclei (caudate nucleus, putamen, globus pallidus, thalamus) relative to that in splenium of corpus callosum were measured. STATISTICAL TESTS Relationships of mean susceptibility with age and referenced iron concentration were tested by Pearson correlation. Differences of mean susceptibility between the selected nuclei in each age group were compared by one-way analysis of variance (ANOVA) and Fisher's Linear Significant Difference (LSD) test. RESULTS Positive correlations of susceptibility with both referenced iron concentration and age were found (P < 0.0001); particularly, globus pallidus showed the highest correlation with age (correlation coefficient, 0.882; slope, 1.203; P < 0.001) and greatest susceptibility (P < 0.05) among the selected nuclei. DATA CONCLUSION QSM allows the feasible quantification of iron deposition in deep gray matter nuclei in infants and young children, which exhibited gradual accumulation at different speeds. The fastest and highest iron accumulation was observed in the globus pallidus with increasing age during early development. LEVEL OF EVIDENCE 4 Technical Efficacy:Stage 2 J. Magn. Reson. Imaging 2018.
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Affiliation(s)
- Ning Ning
- Department of Radiology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P.R. China.,Department of Nuclear Medicine, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P.R. China.,Center for Brain Science, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P.R. China
| | - Congcong Liu
- Department of Radiology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P.R. China
| | - Peng Wu
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, P.R. China
| | - Yajie Hu
- Department of Radiology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P.R. China.,Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, P.R. China
| | - Weishan Zhang
- Department of Radiology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P.R. China.,Center for Brain Science, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P.R. China
| | - Lei Zhang
- Department of Radiology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P.R. China.,Center for Brain Science, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P.R. China
| | - Mengxuan Li
- Department of Radiology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P.R. China
| | - Sung-Min Gho
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea
| | - Dong-Hyun Kim
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea
| | - Hua Guo
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, P.R. China
| | - Jian Yang
- Department of Radiology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P.R. China.,Center for Brain Science, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P.R. China.,Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, P.R. China
| | - Chao Jin
- Department of Radiology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P.R. China.,Center for Brain Science, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P.R. China
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Zivadinov R, Tavazzi E, Bergsland N, Hagemeier J, Lin F, Dwyer MG, Carl E, Kolb C, Hojnacki D, Ramasamy D, Durfee J, Weinstock-Guttman B, Schweser F. Brain Iron at Quantitative MRI Is Associated with Disability in Multiple Sclerosis. Radiology 2018; 289:487-496. [PMID: 30015589 PMCID: PMC6219694 DOI: 10.1148/radiol.2018180136] [Citation(s) in RCA: 66] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2018] [Revised: 04/30/2018] [Accepted: 05/04/2018] [Indexed: 11/11/2022]
Abstract
Purpose To study deep gray matter susceptibility in multiple sclerosis (MS) by using quantitative susceptibility mapping (QSM) and to assess the relationship between susceptibility and clinical disability. Materials and Methods For this prospective study between March 2009 and November 2013, 600 participants with MS (452 with relapsing-remitting MS and 148 with secondary progressive MS) and 250 age- and sex-matched healthy control participants were imaged with 3.0-T MRI to measure magnetic susceptibility. Deep gray matter susceptibility (in parts per billion) was analyzed by using region of interest and voxelwise methods. QSM and MRI volumetric differences between study groups and associations with clinical outcomes were assessed. Analysis of covariance, multivariable linear regression, and voxelwise analyses, controlling for age and sex, were used to compare study groups and to explore associations between MRI and clinical outcomes. Results Compared with control participants, participants with MS presented with lower thalamic susceptibility (-7.5 ppb vs -1.1 ppb; P < .001) and higher susceptibility of basal ganglia (62 ppb vs 54.8 ppb; P < .001). Lower thalamic susceptibility was associated with longer disease duration (β = -0.42; P = .002), higher degree of disability (β = -0.64; P = .03), and secondary-progressive course (β = -4.3; P = .009). Higher susceptibility of the globus pallidus was associated with higher disability (β = 2; P = .03). After correcting for each individual structural volume in voxelwise analysis, lower thalamic susceptibility and higher susceptibility of the globus pallidus remained associated with clinical disability (P < .05). Conclusion Quantitative susceptibility mapping (QSM) suggests that altered deep gray matter iron is associated with the evolution of multiple sclerosis (MS) and on disability accrual, independent of tissue atrophy. © RSNA, 2018 Online supplemental material is available for this article.
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Affiliation(s)
- Robert Zivadinov
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - Eleonora Tavazzi
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - Niels Bergsland
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - Jesper Hagemeier
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - Fuchun Lin
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - Michael G. Dwyer
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - Ellen Carl
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - Channa Kolb
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - David Hojnacki
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - Deepa Ramasamy
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - Jacqueline Durfee
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - Bianca Weinstock-Guttman
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - Ferdinand Schweser
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
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Takahashi H, Watanabe Y, Tanaka H, Mihara M, Mochizuki H, Takahashi K, Yamamoto K, Liu T, Wang Y, Tomiyama N. Comprehensive MRI quantification of the substantia nigra pars compacta in Parkinson's disease. Eur J Radiol 2018; 109:48-56. [PMID: 30527311 DOI: 10.1016/j.ejrad.2018.06.024] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2017] [Revised: 05/31/2018] [Accepted: 06/27/2018] [Indexed: 12/20/2022]
Abstract
PURPOSE To quantify dopaminergic neurodegeneration and iron overload in the substantia nigra pars compacta (SNpc) to evaluate Parkinson's disease (PD) using both quantitative susceptibility mapping (QSM) and neuromelanin imaging. MATERIALS AND METHODS We studied 39 PD patients (PD group) and 25 healthy controls (HC group) who underwent brain MRI with QSM and neuromelanin imaging. QSM and neuromelanin values of the SNpc were obtained using a voxel-based automated region segmentation system. The signal-to-noise ratio (SNR) of the SNpc in the neuromelanin images was calculated based on the mean value for the background region. The neuromelanin value was defined as the neuromelanin volume with an SNR higher than that of the background. The significance of the intergroup differences, and according to the severity stages in the PD group was tested for each QSM and neuromelanin value. Receiver-operating characteristic (ROC) analysis for diagnosing PD was performed for QSM and neuromelanin values. RESULTS The QSM value was significantly higher in the PD group than in the HC group (P < 0.05). The neuromelanin value was significantly smaller in the PD group than in the HC group (P < 0.05). The areas under the ROC curve were 0.68 and 0.86 for QSM and neuromelanin values, respectively. Using QSM and neuromelanin imaging to classify the PD stage was difficult. CONCLUSIONS Quantifying the SNpc alterations with our region-based approach is useful for the diagnosis of PD.
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Affiliation(s)
- H Takahashi
- Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, 2-2 Yamadaoka Suita, Osaka 565-0871, Japan.
| | - Y Watanabe
- Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, 2-2 Yamadaoka Suita, Osaka 565-0871, Japan
| | - H Tanaka
- Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, 2-2 Yamadaoka Suita, Osaka 565-0871, Japan
| | - M Mihara
- Department of Neurology, Osaka University Graduate School of Medicine, 2-2 Yamadaoka Suita, Osaka 565-0871, Japan
| | - H Mochizuki
- Department of Neurology, Osaka University Graduate School of Medicine, 2-2 Yamadaoka Suita, Osaka 565-0871, Japan
| | - K Takahashi
- Department of Medical Statistics, Osaka City University Graduate School of Medicine, 3-3-138 Sugimoto Sumiyoshi-ku, Osaka, 558-8585, Japan
| | - K Yamamoto
- Department of Medical Statistics, Osaka City University Graduate School of Medicine, 3-3-138 Sugimoto Sumiyoshi-ku, Osaka, 558-8585, Japan
| | - T Liu
- Departments of Biomedical Engineering and Radiology, Cornell University, MedImageMetric LLC, New York, NY, 10044, USA
| | - Y Wang
- Departments of Biomedical Engineering and Radiology, Cornell University, MedImageMetric LLC, New York, NY, 10044, USA
| | - N Tomiyama
- Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, 2-2 Yamadaoka Suita, Osaka 565-0871, Japan
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Susceptibility mapping of the dural sinuses and other superficial veins in the brain. Magn Reson Imaging 2018; 57:19-27. [PMID: 30355528 DOI: 10.1016/j.mri.2018.10.015] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Revised: 09/26/2018] [Accepted: 10/18/2018] [Indexed: 12/17/2022]
Abstract
Quantitative susceptibility mapping (QSM) is a means to obtain direct measurements of local tissue susceptibility distribution. Usually the focus is on imaging tissues in the brain, and the region of the brain studied is dictated by an eroded skull stripped mask. Producing the pristine local phase behavior for regions at the edge of the brain has been difficult in the past. For structures such as the superior sagittal sinus (SSS) that run alongside the surface of the brain and under the skull bones, a considerable part of the external phase from the dipole effect is lost due to the short T2* of the bones. In this paper, we propose a method that seeks to reconstruct the susceptibility distribution inside the dural sinuses by ensuring that the entire geometry of the dural sinuses is preserved with the help of an MR angiogram and venogram (MRAV). Having a geometrical model of the vessels makes it possible to estimate the missing phase outside the brain as well, by using the forward phase model and, hence, allowing a complete phase map to be reconstructed. Fifteen healthy volunteers were scanned using a susceptibility weighted imaging (SWI) sequence with interleaved rephased-dephased echoes. QSM results were compared between the conventional techniques and the proposed method of phase preservation outside the brain and inside the dural sinuses. This method demonstrates the reconstruction of the SSS, whereas conventional methods are either unable to preserve this structure or unable to provide complete phase information. The mean and standard deviation inside the SSS for all volunteers was 435 ± 5 ppb (this is the inter-subject error). To validate the proposed approach, the mean susceptibility inside the straight sinus showed good agreement between conventional approach and the proposed method. The results presented in this study indicate the potential of generating the susceptibility map for the whole brain, including the SSS (as well as potentially all the cortical veins).
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Chai C, Wang H, Liu S, Chu ZQ, Li J, Qian T, Haacke E, Xia S, Shen W. Increased iron deposition of deep cerebral gray matter structures in hemodialysis patients: A longitudinal study using quantitative susceptibility mapping. J Magn Reson Imaging 2018; 49:786-799. [PMID: 30291651 DOI: 10.1002/jmri.26226] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2018] [Accepted: 05/30/2018] [Indexed: 01/31/2023] Open
Affiliation(s)
- Chao Chai
- Department of Radiology; Tianjin First Central Hospital; Tianjin China
| | - Huiying Wang
- School of Graduates; Tianjin University of Traditional Chinese Medicine; Tianjin China
| | - Saifeng Liu
- MRI Institute for Biomedical Research, Bingham Farms; Michigan USA
| | - Zhi-Qiang Chu
- Department of Hemodialysis; Tianjin First Central Hospital; Tianjin China
| | - Jinping Li
- Department of Hemodialysis; Tianjin First Central Hospital; Tianjin China
| | - Tianyi Qian
- MR Collaboration, Siemens Healthcare; Northeast Asia Beijing China
| | - E.M. Haacke
- Department of Radiology; Wayne State University; Detroit Michigan USA
| | - Shuang Xia
- Department of Radiology; Tianjin First Central Hospital; Tianjin China
| | - Wen Shen
- Department of Radiology; Tianjin First Central Hospital; Tianjin China
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Chen BT, Ghassaban K, Jin T, Patel SK, Ye N, Sun CL, Kim H, Rockne RC, Mark Haacke E, Root JC, Saykin AJ, Ahles TA, Holodny AI, Prakash N, Mortimer J, Waisman J, Yuan Y, Somlo G, Li D, Yang R, Tan H, Katheria V, Morrison R, Hurria A. Subcortical brain iron deposition and cognitive performance in older women with breast cancer receiving adjuvant chemotherapy: A pilot MRI study. Magn Reson Imaging 2018; 54:218-224. [PMID: 30076946 DOI: 10.1016/j.mri.2018.07.016] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Revised: 07/10/2018] [Accepted: 07/31/2018] [Indexed: 10/28/2022]
Abstract
As the number of older adults in the U.S. increases, so too will the incidence of cancer and cancer-related cognitive impairment (CRCI). However, the exact underlying biological mechanism for CRCI is not yet well understood. We utilized susceptibility-weighted imaging with quantitative susceptibility mapping, a non-invasive MRI-based technique, to assess longitudinal iron deposition in subcortical gray matter structures and evaluate its association with cognitive performance in women age 60+ with breast cancer receiving adjuvant chemotherapy and age-matched women without breast cancer as controls. Brain MRI scans and neurocognitive scores from the NIH Toolbox for Cognition were obtained before chemotherapy (time point 1) and within one month after the last infusion of chemotherapy for the patients and at matched intervals for the controls (time point 2). There were 14 patients age 60+ with breast cancer (mean age 66.3 ± 5.3 years) and 13 controls (mean age 68.2 ± 6.1 years) included in this study. Brain iron increased as age increased. There were no significant between- or within- group differences in neurocognitive scores or iron deposition at time point 1 or between time points 1 and 2 (p > 0.01). However, there was a negative correlation between iron in the globus pallidus and the fluid cognition composite scores in the control group at time point 1 (r = -0.71; p < 0.01), but not in the chemotherapy group. Baseline iron in the putamen was negatively associated with changes in the oral reading recognition scores in the control group (r = 0.74, p < 0.01), but not in the chemotherapy group. Brain iron assessment did not indicate cancer or chemotherapy related short-term differences, yet some associations with cognition were observed. Studies with larger samples and longer follow-up intervals are warranted.
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Affiliation(s)
- Bihong T Chen
- Department of Diagnostic Radiology, City of Hope National Medical Center, Duarte, CA, United States; Center for Cancer and Aging, City of Hope National Medical Center, Duarte, CA, United States.
| | | | - Taihao Jin
- Department of Diagnostic Radiology, City of Hope National Medical Center, Duarte, CA, United States
| | - Sunita K Patel
- Department of Population Science, City of Hope National Medical Center, Duarte, CA, United States
| | - Ningrong Ye
- Department of Diagnostic Radiology, City of Hope National Medical Center, Duarte, CA, United States
| | - Can-Lan Sun
- Center for Cancer and Aging, City of Hope National Medical Center, Duarte, CA, United States
| | - Heeyoung Kim
- Center for Cancer and Aging, City of Hope National Medical Center, Duarte, CA, United States
| | - Russell C Rockne
- Division of Mathematical Oncology, City of Hope National Medical Center, Duarte, CA, United States
| | - E Mark Haacke
- Magnetic Resonance Innovations, Inc., Detroit, MI, United States; Department of Biomedical Engineering, Wayne State University, Detroit, MI, United States
| | - James C Root
- Neurocognitive Research Lab, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Andrew J Saykin
- Center for Neuroimaging, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Tim A Ahles
- Neurocognitive Research Lab, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Andrei I Holodny
- Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY, United States
| | - Neal Prakash
- Division of Neurology, City of Hope National Medical Center, Duarte, CA, United States
| | - Joanne Mortimer
- Department of Medical Oncology, City of Hope National Medical Center, Duarte, CA, United States
| | - James Waisman
- Department of Medical Oncology, City of Hope National Medical Center, Duarte, CA, United States
| | - Yuan Yuan
- Department of Medical Oncology, City of Hope National Medical Center, Duarte, CA, United States
| | - George Somlo
- Department of Medical Oncology, City of Hope National Medical Center, Duarte, CA, United States
| | - Daneng Li
- Department of Medical Oncology, City of Hope National Medical Center, Duarte, CA, United States
| | - Richard Yang
- Center for Cancer and Aging, City of Hope National Medical Center, Duarte, CA, United States
| | - Heidi Tan
- Center for Cancer and Aging, City of Hope National Medical Center, Duarte, CA, United States
| | - Vani Katheria
- Center for Cancer and Aging, City of Hope National Medical Center, Duarte, CA, United States
| | - Rachel Morrison
- Center for Cancer and Aging, City of Hope National Medical Center, Duarte, CA, United States
| | - Arti Hurria
- Center for Cancer and Aging, City of Hope National Medical Center, Duarte, CA, United States; Department of Medical Oncology, City of Hope National Medical Center, Duarte, CA, United States
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Quantifying iron content in magnetic resonance imaging. Neuroimage 2018; 187:77-92. [PMID: 29702183 DOI: 10.1016/j.neuroimage.2018.04.047] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2017] [Revised: 04/13/2018] [Accepted: 04/20/2018] [Indexed: 01/19/2023] Open
Abstract
Measuring iron content has practical clinical indications in the study of diseases such as Parkinson's disease, Huntington's disease, ferritinopathies and multiple sclerosis as well as in the quantification of iron content in microbleeds and oxygen saturation in veins. In this work, we review the basic concepts behind imaging iron using T2, T2*, T2', phase and quantitative susceptibility mapping in the human brain, liver and heart, followed by the applications of in vivo iron quantification in neurodegenerative diseases, iron tagged cells and ultra-small superparamagnetic iron oxide (USPIO) nanoparticles.
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Liu S, Wang C, Zhang X, Zuo P, Hu J, Haacke EM, Ni H. Quantification of liver iron concentration using the apparent susceptibility of hepatic vessels. Quant Imaging Med Surg 2018; 8:123-134. [PMID: 29675354 DOI: 10.21037/qims.2018.03.02] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Background The quantification of liver iron concentration (LIC) is important for the monitoring of the body iron level in patients with iron overload. Conventionally, LIC is quantified through R2 or R2* mapping using MRI. In this paper, we demonstrate an alternative approach for LIC quantification through measuring the apparent susceptibility of hepatic vessels using quantitative susceptibility mapping (QSM). Methods QSM was performed in the liver region with the iterative susceptibility weighted imaging and mapping (iSWIM) algorithm, using the geometry of the vessels extracted from magnitude images as constraints. The susceptibilities of liver tissue were estimated from the apparent susceptibility of the hepatic veins and then converted to LIC. The accuracy of the proposed method was first validated using simulations, and then confirmed using in vivo data collected on 8 healthy controls and 11 patients at 3T. The effects of data acquisition parameters were studied using simulations, and the LICs estimated using QSM were compared with those estimated using R2* mapping. Results Simulation results showed that the use of a 3D data acquisition protocol with higher image resolution led to improved accuracy in LIC quantification using QSM. Both simulations and in vivo data results demonstrated that the LICs estimated using the proposed QSM method agreed well with those estimated using R2* mapping. With the shortest echo time being 2.5ms in the multi-echo gradient echo sequence, simulations results showed that LIC up to 12.45 mg iron/g dry tissue can be quantified using the proposed QSM method. For the in vivo data, the highest LIC measured was 11.32 mg iron/g dry tissue. Conclusions The proposed method offers a reliable and flexible way to quantify LIC and has the potential to extend the range of LIC that can be accurately measured using R2* and QSM.
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Affiliation(s)
- Saifeng Liu
- The MRI Institute for Biomedical Research, Bingham Farms, MI, USA
| | - Chaoyue Wang
- School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada
| | - Xiaoqi Zhang
- Department of Radiology, Tianjin First Central Hospital, Tianjin 300192, China
| | - Panli Zuo
- Siemens Healthcare, MR Collaborations NE Asia, Beijing 100010, China
| | - Jiani Hu
- Department of Radiology, Wayne State University, Detroit, MI, USA
| | - E Mark Haacke
- The MRI Institute for Biomedical Research, Bingham Farms, MI, USA.,School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada.,Department of Radiology, Wayne State University, Detroit, MI, USA
| | - Hongyan Ni
- Department of Radiology, Tianjin First Central Hospital, Tianjin 300192, China
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Dietrich O, Levin J, Ahmadi SA, Plate A, Reiser MF, Bötzel K, Giese A, Ertl-Wagner B. MR imaging differentiation of Fe2+ and Fe3+ based on relaxation and magnetic susceptibility properties. Neuroradiology 2017; 59:403-409. [DOI: 10.1007/s00234-017-1813-3] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2016] [Accepted: 02/19/2017] [Indexed: 12/24/2022]
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Hinoda T, Fushimi Y, Okada T, Arakawa Y, Liu C, Yamamoto A, Okada T, Yoshida K, Miyamoto S, Togashi K. Quantitative assessment of gadolinium deposition in dentate nucleus using quantitative susceptibility mapping. J Magn Reson Imaging 2016; 45:1352-1358. [DOI: 10.1002/jmri.25490] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2016] [Accepted: 09/10/2016] [Indexed: 01/19/2023] Open
Affiliation(s)
- Takuya Hinoda
- Department of Diagnostic Imaging and Nuclear MedicineKyoto University Graduate School of MedicineSakyoku Kyoto Japan
| | - Yasutaka Fushimi
- Department of Diagnostic Imaging and Nuclear MedicineKyoto University Graduate School of MedicineSakyoku Kyoto Japan
| | - Tomohisa Okada
- Human Brain Research CenterKyoto University Graduate School of MedicineSakyoku Kyoto Japan
| | - Yoshiki Arakawa
- Department of NeurosurgeryKyoto University Graduate School of Medicine. SakyokuKyoto Japan
| | - Chunlei Liu
- Brain Imaging and Analysis Center and Department of RadiologyDuke University Medical CenterDurham North Carolina USA
| | - Akira Yamamoto
- Department of Diagnostic Imaging and Nuclear MedicineKyoto University Graduate School of MedicineSakyoku Kyoto Japan
| | - Tsutomu Okada
- Department of Diagnostic Imaging and Nuclear MedicineKyoto University Graduate School of MedicineSakyoku Kyoto Japan
| | - Kazumichi Yoshida
- Department of NeurosurgeryKyoto University Graduate School of Medicine. SakyokuKyoto Japan
| | - Susumu Miyamoto
- Department of NeurosurgeryKyoto University Graduate School of Medicine. SakyokuKyoto Japan
| | - Kaori Togashi
- Department of Diagnostic Imaging and Nuclear MedicineKyoto University Graduate School of MedicineSakyoku Kyoto Japan
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