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Morris S, Swift-LaPointe T, Yung A, Prevost V, George S, Bauman A, Kozlowski P, Samadi-Bahrami Z, Fournier C, Mattu PS, Parker L, Streijger F, Hirsch-Reinshagen V, Moore GRW, Kwon BK, Laule C. Advanced Magnetic Resonance Imaging Biomarkers of the Injured Spinal Cord: A Comparative Study of Imaging and Histology in Human Traumatic Spinal Cord Injury. J Neurotrauma 2024. [PMID: 38318802 DOI: 10.1089/neu.2023.0208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2024] Open
Abstract
A significant problem in the diagnosis and management of traumatic spinal cord injury (tSCI) is the heterogeneity of secondary injury and the prediction of neurological outcome. Imaging biomarkers specific to myelin loss and inflammation after tSCI would enable detailed assessment of the pathophysiological processes underpinning secondary damage to the cord. Such biomarkers could be used to biologically stratify injury severity and better inform prognosis for neurological recovery. While much work has been done to establish magnetic resonance imaging (MRI) biomarkers for SCI in animal models, the relationship between imaging findings and the underlying pathology has been difficult to discern in human tSCI because of the paucity of human spinal cord tissue. We utilized post-mortem spinal cords from individuals who had a tSCI to examine this relationship by performing ex vivo MRI scans before histological analysis. We investigated the correlation between the histological distribution of myelin loss and inflammatory cells in the injured spinal cord and a number of myelin and inflammation-sensitive MRI measures: myelin water fraction (MWF), inhomogeneous magnetization transfer ratio (ihMTR), and diffusion tensor and diffusion kurtosis imaging-derived fractional anisotropy (FA) and axial, radial, and mean diffusivity (AD, RD, MD). The histological features were analyzed by staining with Luxol Fast Blue (LFB) for myelin lipids and Class II major histocompatibility complex (Class II MHC) and CD68 for microglia and macrophages. Both MWF and ihMTR were strongly correlated with LFB staining for myelin, supporting the use of both as biomarkers for myelin loss after SCI. A decrease in ihMTR was also correlated with the presence of Class II MHC positive immune cells. FA and RD correlated with both Class II MHC and CD68 and may therefore be useful biomarkers for inflammation after tSCI. Our work demonstrates the utility of advanced MRI techniques sensitive to biological tissue damage after tSCI, which is an important step toward using these MRI techniques in the clinic to aid in decision-making.
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Affiliation(s)
- Sarah Morris
- International Collaboration on Repair Discoveries (ICORD), Departments of University of British Columbia (UBC), Vancouver, British Columbia, Canada
- Physics and Astronomy, University of British Columbia (UBC), Vancouver, British Columbia, Canada
- Radiology, University of British Columbia (UBC), Vancouver, British Columbia, Canada
| | - Taylor Swift-LaPointe
- Physics and Astronomy, University of British Columbia (UBC), Vancouver, British Columbia, Canada
| | - Andrew Yung
- International Collaboration on Repair Discoveries (ICORD), Departments of University of British Columbia (UBC), Vancouver, British Columbia, Canada
- Radiology, University of British Columbia (UBC), Vancouver, British Columbia, Canada
- UBC MRI Research Centre, University of British Columbia (UBC), Vancouver, British Columbia, Canada
| | - Valentin Prevost
- International Collaboration on Repair Discoveries (ICORD), Departments of University of British Columbia (UBC), Vancouver, British Columbia, Canada
- Radiology, University of British Columbia (UBC), Vancouver, British Columbia, Canada
- UBC MRI Research Centre, University of British Columbia (UBC), Vancouver, British Columbia, Canada
| | - Shana George
- International Collaboration on Repair Discoveries (ICORD), Departments of University of British Columbia (UBC), Vancouver, British Columbia, Canada
| | - Andrew Bauman
- International Collaboration on Repair Discoveries (ICORD), Departments of University of British Columbia (UBC), Vancouver, British Columbia, Canada
- Radiology, University of British Columbia (UBC), Vancouver, British Columbia, Canada
- UBC MRI Research Centre, University of British Columbia (UBC), Vancouver, British Columbia, Canada
| | - Piotr Kozlowski
- International Collaboration on Repair Discoveries (ICORD), Departments of University of British Columbia (UBC), Vancouver, British Columbia, Canada
- Physics and Astronomy, University of British Columbia (UBC), Vancouver, British Columbia, Canada
- Radiology, University of British Columbia (UBC), Vancouver, British Columbia, Canada
- UBC MRI Research Centre, University of British Columbia (UBC), Vancouver, British Columbia, Canada
| | - Zahra Samadi-Bahrami
- International Collaboration on Repair Discoveries (ICORD), Departments of University of British Columbia (UBC), Vancouver, British Columbia, Canada
- Pathology and Laboratory Medicine, University of British Columbia (UBC), Vancouver, British Columbia, Canada
| | - Caron Fournier
- International Collaboration on Repair Discoveries (ICORD), Departments of University of British Columbia (UBC), Vancouver, British Columbia, Canada
- Pathology and Laboratory Medicine, University of British Columbia (UBC), Vancouver, British Columbia, Canada
| | | | - Lisa Parker
- Vancouver General Hospital, Vancouver, British Columbia, Canada
| | - Femke Streijger
- International Collaboration on Repair Discoveries (ICORD), Departments of University of British Columbia (UBC), Vancouver, British Columbia, Canada
| | - Veronica Hirsch-Reinshagen
- International Collaboration on Repair Discoveries (ICORD), Departments of University of British Columbia (UBC), Vancouver, British Columbia, Canada
- Pathology and Laboratory Medicine, University of British Columbia (UBC), Vancouver, British Columbia, Canada
- Vancouver General Hospital, Vancouver, British Columbia, Canada
| | - G R Wayne Moore
- International Collaboration on Repair Discoveries (ICORD), Departments of University of British Columbia (UBC), Vancouver, British Columbia, Canada
- Pathology and Laboratory Medicine, University of British Columbia (UBC), Vancouver, British Columbia, Canada
- Vancouver General Hospital, Vancouver, British Columbia, Canada
| | - Brian K Kwon
- International Collaboration on Repair Discoveries (ICORD), Departments of University of British Columbia (UBC), Vancouver, British Columbia, Canada
- Vancouver Spine Surgery Institute, Vancouver, British Columbia, Canada
- Orthopaedics, University of British Columbia (UBC), Vancouver, British Columbia, Canada
| | - Cornelia Laule
- International Collaboration on Repair Discoveries (ICORD), Departments of University of British Columbia (UBC), Vancouver, British Columbia, Canada
- Physics and Astronomy, University of British Columbia (UBC), Vancouver, British Columbia, Canada
- Radiology, University of British Columbia (UBC), Vancouver, British Columbia, Canada
- Pathology and Laboratory Medicine, University of British Columbia (UBC), Vancouver, British Columbia, Canada
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2
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Bagnato F, Sati P, Hemond CC, Elliott C, Gauthier SA, Harrison DM, Mainero C, Oh J, Pitt D, Shinohara RT, Smith SA, Trapp B, Azevedo CJ, Calabresi PA, Henry RG, Laule C, Ontaneda D, Rooney WD, Sicotte NL, Reich DS, Absinta M. Imaging chronic active lesions in multiple sclerosis: a consensus statement. Brain 2024:awae013. [PMID: 38226694 DOI: 10.1093/brain/awae013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 11/21/2023] [Accepted: 12/08/2023] [Indexed: 01/17/2024] Open
Abstract
Chronic active lesions (CAL) are an important manifestation of chronic inflammation in multiple sclerosis (MS) and have implications for non-relapsing biological progression. In recent years, the discovery of innovative magnetic resonance imaging (MRI) and PET derived biomarkers has made it possible to detect CAL, and to some extent quantify them, in the brain of persons with MS, in vivo. Paramagnetic rim lesions on susceptibility-sensitive MRI sequences, MRI-defined slowly expanding lesions on T1-weighted (T1-w) and T2-w scans, and 18-kDa translocator protein-positive lesions on PET are promising candidate biomarkers of CAL. While partially overlapping, these biomarkers do not have equivalent sensitivity and specificity to histopathological CAL. Standardization in the use of available imaging measures for CAL identification, quantification, and monitoring is lacking. To fast-forward clinical translation of CAL, the North American Imaging in Multiple Sclerosis Cooperative developed a Consensus Statement, which provides guidance for the radiological definition and measurement of CAL. The proposed manuscript presents this Consensus Statement, summarizes the multistep process leading to it, and identifies the remaining major gaps in knowledge.
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Affiliation(s)
- Francesca Bagnato
- Neuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN 37212, USA
- Department of Neurology, Nashville VA Medical Center, Tennessee Valley Healthcare System, Nashville, TN 37212, USA
| | - Pascal Sati
- Neuroimaging Program, Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA 90048 USA
| | | | | | - Susan A Gauthier
- Department of Neurology, Weill Cornell Medicine, NYC, NY 10021, USA
| | - Daniel M Harrison
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD 21201, USA
- Department of Neurology, Baltimore VA Medical Center, VA Maryland Healthcare System; Baltimore, MD 21201, USA
| | - Caterina Mainero
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Jiwon Oh
- Division of Neurology, St. Michael's Hospital, University of Toronto, Toronto, ON M5S, Canada
| | - David Pitt
- Department of Neurology, Yale School of Medicine, New Haven, CT 06510, USA
| | - Russell T Shinohara
- Penn Statistics in Imaging and Visualization Endeavor, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Center for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Seth A Smith
- Vanderbilt University Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37235, USA
| | - Bruce Trapp
- Department on Neurosciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Christina J Azevedo
- Department of Neurology, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90007, USA
| | - Peter A Calabresi
- Departments of Neurology and Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Roland G Henry
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA 94158, USA
| | - Cornelia Laule
- Department of Radiology, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
- Department of Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
- Department of Physics & Astronomy, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
- International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, BC V6T 1Z4, Canada
| | - Daniel Ontaneda
- Mellen Center for Multiple Sclerosis, Cleveland Clinic, Cleveland, OH 44195, USA
| | - William D Rooney
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR 97239, USA
| | - Nancy L Sicotte
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Daniel S Reich
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA
| | - Martina Absinta
- Departments of Neurology and Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Translational Neuropathology Unit, Institute of Experimental Neurology, Division of Neuroscience, Vita-Salute San Raffaele University and Hospital, Milan, 20132, Italy
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3
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Zaki-Metias KM, Sharma S, Kolof H, Yan TD, Laule C, Carroll EF, Narayan AK, Spalluto LB, Yong-Hing CJ. An Analysis of the Use of Gender-Inclusive Terminology Amongst Radiology Vendors: Moving Forward From "Women's Imaging". Can Assoc Radiol J 2024:8465371231226164. [PMID: 38216858 DOI: 10.1177/08465371231226164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2024] Open
Affiliation(s)
- Kaitlin M Zaki-Metias
- Department of Radiology, Trinity Health Oakland Hospital/Wayne State University School of Medicine, Pontiac, MI, USA
| | - Sonali Sharma
- Department of Radiology, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Hanna Kolof
- Department of Kinesiology, Simon Fraser University, Burnaby, BC, Canada
| | - Tyler D Yan
- Department of Radiology, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Cornelia Laule
- Department of Radiology, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
- Department of Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
- Physics & Astronomy, University of British Columbia, Vancouver, BC, Canada
- International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada
| | | | - Anand K Narayan
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Lucy B Spalluto
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Ingram Cancer Center, Nashville, TN, USA
- Veterans Health Administration, Tennessee Valley Healthcare System Geriatric Research, Education and Clinical Center (GRECC), Nashville, TN, USA
| | - Charlotte J Yong-Hing
- Department of Radiology, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
- Diagnostic Imaging, BC Cancer, Vancouver, BC, Canada
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4
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Dvorak AV, Kumar D, Zhang J, Gilbert G, Balaji S, Wiley N, Laule C, Moore GW, MacKay AL, Kolind SH. The CALIPR framework for highly accelerated myelin water imaging with improved precision and sensitivity. Sci Adv 2023; 9:eadh9853. [PMID: 37910622 PMCID: PMC10619933 DOI: 10.1126/sciadv.adh9853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Accepted: 09/28/2023] [Indexed: 11/03/2023]
Abstract
Quantitative magnetic resonance imaging (MRI) techniques are powerful tools for the study of human tissue, but, in practice, their utility has been limited by lengthy acquisition times. Here, we introduce the Constrained, Adaptive, Low-dimensional, Intrinsically Precise Reconstruction (CALIPR) framework in the context of myelin water imaging (MWI); a quantitative MRI technique generally regarded as the most rigorous approach for noninvasive, in vivo measurement of myelin content. The CALIPR framework exploits data redundancy to recover high-quality images from a small fraction of an imaging dataset, which allowed MWI to be acquired with a previously unattainable sequence (fully sampled acquisition 2 hours:57 min:20 s) in 7 min:26 s (4.2% of the dataset, acceleration factor 23.9). CALIPR quantitative metrics had excellent precision (myelin water fraction mean coefficient of variation 3.2% for the brain and 3.0% for the spinal cord) and markedly increased sensitivity to demyelinating disease pathology compared to a current, widely used technique. The CALIPR framework facilitates drastically improved MWI and could be similarly transformative for other quantitative MRI applications.
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Affiliation(s)
- Adam V. Dvorak
- Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada
- International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada
| | - Dushyant Kumar
- Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Jing Zhang
- Global MR Applications & Workflow, GE HealthCare Canada, Mississauga, ON, Canada
| | | | - Sharada Balaji
- Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada
- International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada
| | - Neale Wiley
- Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada
- International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada
| | - Cornelia Laule
- Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada
- International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada
- Radiology, University of British Columbia, Vancouver, BC, Canada
- Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - G.R. Wayne Moore
- International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada
- Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Alex L. MacKay
- Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada
- Radiology, University of British Columbia, Vancouver, BC, Canada
- Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Shannon H. Kolind
- Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada
- International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada
- Radiology, University of British Columbia, Vancouver, BC, Canada
- Medicine (Neurology), University of British Columbia, Vancouver, BC, Canada
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5
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Morris SR, Vavasour IM, Smolina A, MacMillan EL, Gilbert G, Lam M, Kozlowski P, Michal CA, Manning A, MacKay AL, Laule C. Myelin biomarkers in the healthy adult brain: Correlation, reproducibility, and the effect of fiber orientation. Magn Reson Med 2023; 89:1809-1824. [PMID: 36511247 DOI: 10.1002/mrm.29552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 10/17/2022] [Accepted: 11/18/2022] [Indexed: 12/15/2022]
Abstract
PURPOSE We investigated the correlation, reproducibility, and effect of white matter fiber orientation for three myelin-sensitive MRI techniques: magnetization transfer ratio (MTR), inhomogeneous magnetization transfer ratio (ihMTR), and gradient and spin echo-derived myelin water fraction (MWF). METHODS We measured the three metrics in 17 white and three deep grey matter regions in 17 healthy adults at 3 T. RESULTS We found a strong correlation between ihMTR and MTR (r = 0.70, p < 0.001) and ihMTR and MWF (r = 0.79, p < 0.001), and a weaker correlation between MTR and MWF (r = 0.54, p < 0.001). The dynamic range in white matter was greatest for MWF (2.0%-27.5%), followed by MTR (14.4%-23.2%) and then ihMTR (1.2%-5.4%). The average scan-rescan coefficient of variation for white matter regions was 0.6% MTR, 0.3% ihMTR, and 0.7% MWF in metric units; however, when adjusted by the dynamic range, these became 6.3%, 6.1% and 2.8%, respectively. All three metrics varied with fiber direction: MWF and ihMTR were lower in white matter fibers perpendicular to B0 by 6% and 1%, respectively, compared with those parallel, whereas MTR was lower by 0.5% at about 40°, with the highest values at 90°. However, separating the apparent orientation dependence by white matter region revealed large dissimilarities in the trends, suggesting that real differences in myelination between regions are confounding the apparent orientation dependence measured using this method. CONCLUSION The strong correlation between ihMTR and MWF suggests that these techniques are measuring the same myelination; however, the larger dynamic range of MWF may provide more power to detect small differences in myelin.
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Affiliation(s)
- Sarah R Morris
- Radiology, University of British Columbia, Vancouver, British Columbia, Canada.,Physics & Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.,International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, British Columbia, Canada
| | - Irene M Vavasour
- Radiology, University of British Columbia, Vancouver, British Columbia, Canada.,International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, British Columbia, Canada.,UBC MRI Research Center, University of British Columbia, Vancouver, British Columbia, Canada
| | - Anastasia Smolina
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.,The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Erin L MacMillan
- Radiology, University of British Columbia, Vancouver, British Columbia, Canada.,UBC MRI Research Center, University of British Columbia, Vancouver, British Columbia, Canada.,MR Clinical Science, Philips Healthcare Canada, Mississauga, Ontario, Canada
| | - Guillaume Gilbert
- MR Clinical Science, Philips Healthcare Canada, Mississauga, Ontario, Canada
| | - Michelle Lam
- Physics & Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.,UBC MRI Research Center, University of British Columbia, Vancouver, British Columbia, Canada
| | - Piotr Kozlowski
- Radiology, University of British Columbia, Vancouver, British Columbia, Canada.,Physics & Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.,International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, British Columbia, Canada.,UBC MRI Research Center, University of British Columbia, Vancouver, British Columbia, Canada
| | - Carl A Michal
- Physics & Astronomy, University of British Columbia, Vancouver, British Columbia, Canada
| | - Alan Manning
- Physics & Astronomy, University of British Columbia, Vancouver, British Columbia, Canada
| | - Alex L MacKay
- Radiology, University of British Columbia, Vancouver, British Columbia, Canada.,Physics & Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.,UBC MRI Research Center, University of British Columbia, Vancouver, British Columbia, Canada
| | - Cornelia Laule
- Radiology, University of British Columbia, Vancouver, British Columbia, Canada.,Physics & Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.,International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, British Columbia, Canada.,UBC MRI Research Center, University of British Columbia, Vancouver, British Columbia, Canada.,Pathology & Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
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6
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Reynolds LA, Morris SR, Vavasour IM, Barlow L, Laule C, MacKay AL, Michal CA. Nonaqueous magnetization following adiabatic and selective pulses in brain: T1 and cross-relaxation dynamics. NMR Biomed 2023:e4936. [PMID: 36973767 DOI: 10.1002/nbm.4936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 03/03/2023] [Accepted: 03/20/2023] [Indexed: 06/18/2023]
Abstract
Inversion pulses are commonly employed in MRI for T 1 $$ {T}_1 $$ -weighted contrast and relaxation measurements. In the brain, it is often assumed that adiabatic pulses saturate the nonaqueous magnetization. We investigated this assumption using solid-state NMR to monitor the nonaqueous signal directly following adiabatic inversion and compared this with signals following hard and soft inversion pulses. The effects of the different preparations on relaxation dynamics were explored. Inversion recovery experiments were performed on ex vivo bovine and porcine brains using 360-MHz (8.4 T) and 200-MHz (4.7 T) NMR spectrometers, respectively, using broadband rectangular, adiabatic, and sinc inversion pulses as well as a long rectangular saturation pulse. Analogous human brain MRI experiments were performed at 3 T using single-slice echo-planar imaging. Relaxation data were fitted by mono- and biexponential decay models. Further fitting analysis was performed using only two inversion delay times. Adiabatic and sinc inversion left much of the nonaqueous magnetization along B 0 $$ {B}_0 $$ and resulted in biexponential relaxation. Saturation of both aqueous and nonaqueous magnetization components led to effectively monoexponential T 1 $$ {T}_1 $$ relaxation. Typical adiabatic inversion pulses do not, as has been widely assumed, saturate the nonaqueous proton magnetization in white matter. Unequal magnetization states in aqueous and nonaqueous 1 H reservoirs prepared by soft and adiabatic pulses result in biexponential T 1 $$ {T}_1 $$ relaxation. Both pools must be prepared in the same magnetization state (e.g., saturated or inverted) in order to observe consistent monoexponential relaxation.
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Affiliation(s)
- Luke A Reynolds
- Department of Physics & Astronomy, University of British Columbia, Vancouver, BC, Canada
| | - Sarah R Morris
- Department of Physics & Astronomy, University of British Columbia, Vancouver, BC, Canada
- Department of Radiology, University of British Columbia, Vancouver, BC, Canada
- International Collaboration on Repair Discoveries, Blusson Spinal Cord Centre, University of British Columbia, Vancouver, BC, Canada
| | - Irene M Vavasour
- Department of Radiology, University of British Columbia, Vancouver, BC, Canada
- International Collaboration on Repair Discoveries, Blusson Spinal Cord Centre, University of British Columbia, Vancouver, BC, Canada
- UBC MRI Research Centre, University of British Columbia, Vancouver, BC, Canada
| | - Laura Barlow
- UBC MRI Research Centre, University of British Columbia, Vancouver, BC, Canada
| | - Cornelia Laule
- Department of Physics & Astronomy, University of British Columbia, Vancouver, BC, Canada
- Department of Radiology, University of British Columbia, Vancouver, BC, Canada
- International Collaboration on Repair Discoveries, Blusson Spinal Cord Centre, University of British Columbia, Vancouver, BC, Canada
- Department of Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Alex L MacKay
- Department of Physics & Astronomy, University of British Columbia, Vancouver, BC, Canada
- Department of Radiology, University of British Columbia, Vancouver, BC, Canada
- UBC MRI Research Centre, University of British Columbia, Vancouver, BC, Canada
| | - Carl A Michal
- Department of Physics & Astronomy, University of British Columbia, Vancouver, BC, Canada
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7
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Shaikh N, Yung A, Zhang H, Street J, Laule C, Oxland T, Wilson DR. Muscle activity with 0.5 T upright MRI-DESS to measure T 2 in biceps and triceps. J Orthop Res 2023; 41:698-704. [PMID: 35716162 DOI: 10.1002/jor.25402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 05/24/2022] [Accepted: 06/15/2022] [Indexed: 02/04/2023]
Abstract
The purpose of this study was to determine if muscle activity of the biceps followed by isometric flexion changes T2 measured in the biceps. It is hypothesized that an increase in T2 will be observed in the biceps but not in the triceps after flexion exercise. Ten healthy volunteers were imaged with a one-channel neck coil while seated in a 0.5 T upright open magnetic resonance imaging (MRI) scanner using a three-dimensional double echo steady-state (DESS) sequence. Volunteers were imaged while relaxing their arm for 10, 20, and 30 min during an isometric biceps flexion immediately following performance of biceps curls to exhaustion, and again after relaxing for 10 and 20 min. Voxel-wise T2 was calculated by fitting to a DESS signal equation in regions segmented at muscle centers to determine mean T2 . During isometric biceps flexion immediately following biceps curls, mean T2 increased (average 33%, p < 0.05) in the biceps but not in the triceps. By 20 min after curls, mean T2 decreased (p < 0.05), and was near preactivity values. In contrast, there was no change in triceps T2 across any activity or postactivity time points. Intra-rater repeatability was excellent (ICC: 0.90-0.97). This study demonstrated that measuring T2 in an active muscle is feasible using a DESS sequence in an upright open MRI scanner. This could enable the study of muscle function while the muscle is working and weight-bearing, rather than of the "fatigue" of the muscles after activity. In comparison to electromyography, MRI also enables the study of deep muscles and allows simultaneous assessment of activity and function.
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Affiliation(s)
- Noor Shaikh
- School of Biomedical Engineering, University of British Columbia (UBC), Vancouver, British Columbia, Canada.,International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Mechanical Engineering, University of British Columbia, Vancouver, British Columbia, Canada
| | - Andrew Yung
- UBC MRI Research Center, University of British Columbia, Vancouver, British Columbia, Canada
| | - Honglin Zhang
- Centre for Hip Health and Mobility, University of British Columbia, Vancouver, British Columbia, Canada
| | - John Street
- International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Orthopaedics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Cornelia Laule
- International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Physics & Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Pathology & Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Thomas Oxland
- International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Mechanical Engineering, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Orthopaedics, University of British Columbia, Vancouver, British Columbia, Canada
| | - David R Wilson
- International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, British Columbia, Canada.,Centre for Hip Health and Mobility, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Orthopaedics, University of British Columbia, Vancouver, British Columbia, Canada
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8
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Johnson P, Vavasour IM, Stojkova BJ, Abel S, Lee LE, Laule C, Tam R, Li DKB, Ackermans N, Schabas AJ, Chan J, Cross H, Sayao AL, Devonshire V, Carruthers R, Traboulsee A, Kolind SH. Myelin heterogeneity for assessing normal appearing white matter myelin damage in multiple sclerosis. J Neuroimaging 2023; 33:227-234. [PMID: 36443960 DOI: 10.1111/jon.13069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 11/04/2022] [Accepted: 11/08/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND AND PURPOSE Conventional MRI measures of multiple sclerosis (MS) disease severity, such as lesion volume and brain atrophy, do not provide information about microstructural tissue changes, which may be driving physical and cognitive progression. Myelin damage in normal-appearing white matter (NAWM) is likely an important contributor to MS disability. Myelin water fraction (MWF) provides quantitative measurements of myelin. Mean MWF reflects average myelin content, while MWF standard deviation (SD) describes variation in myelin within regions. The myelin heterogeneity index (MHI = SD/mean MWF) is a composite metric of myelin content and myelin variability. We investigated how mean MWF, SD, and MHI compare in differentiating MS from controls and their associations with physical and cognitive disability. METHODS Myelin water imaging data were acquired from 91 MS participants and 31 healthy controls (HC). Segmented whole-brain NAWM and corpus callosum (CC) NAWM, mean MWF, SD, and MHI were compared between groups. Associations of mean MWF, SD, and MHI with Expanded Disability Status Scale and Symbol Digit Modalities Test were assessed. RESULTS NAWM and CC MHI had the highest area under the curve: .78 (95% confidence interval [CI]: .69, .86) and .84 (95% CI: .76, .91), respectively, distinguishing MS from HC. CONCLUSIONS Mean MWF, SD, and MHI provide complementary information when assessing regional and global NAWM abnormalities in MS and associations with clinical outcome measures. Examining all three metrics (mean MWF, SD, and MHI) enables a more detailed interpretation of results, depending on whether regions of interest include areas that are more heterogeneous, earlier in the demyelination process, or uniformly injured.
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Affiliation(s)
- Poljanka Johnson
- Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - Irene M Vavasour
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada.,International Collaboration on Repair and Discoveries, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - Shawna Abel
- Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - Lisa Eunyoung Lee
- Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - Cornelia Laule
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.,International Collaboration on Repair and Discoveries, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Pathology & Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Roger Tam
- School of Biomedical Engineering, University of British Columbia, Vancouver, British Columbia, Canada
| | - David K B Li
- Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada.,Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Nathalie Ackermans
- Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - Alice J Schabas
- Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - Jillian Chan
- Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - Helen Cross
- Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - Ana-Luiza Sayao
- Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - Virginia Devonshire
- Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - Robert Carruthers
- Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - Anthony Traboulsee
- Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - Shannon H Kolind
- Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada.,Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.,International Collaboration on Repair and Discoveries, University of British Columbia, Vancouver, British Columbia, Canada
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9
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Boa Sorte Silva NC, Dao E, Liang Hsu C, Tam RC, Lam K, Alkeridy W, Laule C, Vavasour IM, Stein RG, Liu-Ambrose T. Myelin and Physical Activity in Older Adults With Cerebral Small Vessel Disease and Mild Cognitive Impairment. J Gerontol A Biol Sci Med Sci 2023; 78:545-553. [PMID: 35876839 DOI: 10.1093/gerona/glac149] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Myelin loss is a feature of cerebral small vessel disease (cSVD). Although physical activity levels may exert protective effects over cSVD pathology, its specific relationship with myelin content in people living with the cSVD is unknown. Thus, we investigated whether physical activity levels are associated with myelin in community-dwelling older adults with cSVD and mild cognitive impairment. METHODS Cross-sectional data from 102 individuals with cSVD and mild cognitive impairment were analyzed (mean age [SD] = 74.7 years [5.5], 63.7% female). Myelin was measured using a magnetic resonance gradient and spin echo sequence. Physical activity was estimated using the Physical Activity Scale for the Elderly. Hierarchical regression models adjusting for total intracranial volume, age, sex, body mass index, and education were conducted to determine the associations between myelin content and physical activity. Significant models were further adjusted for white matter hyperintensity volume. RESULTS In adjusted models, greater physical activity was linked to higher myelin content in the whole-brain white matter (R2change = .04, p = .048). Greater physical activity was also associated with myelin content in the sagittal stratum (R2change = .08, p = .004), anterior corona radiata (R2change = .04, p = .049), and genu of the corpus callosum (R2change = .05, p = .018). Adjusting for white matter hyperintensity volume did not change any of these associations. CONCLUSIONS Physical activity may be a strategy to maintain myelin in older adults with cSVD and mild cognitive impairment. Future randomized controlled trials of exercise are needed to determine whether exercise increases myelin content.
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Affiliation(s)
- Nárlon C Boa Sorte Silva
- Djavad Mowafaghian Centre for Brain Health, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.,Centre for Hip Health and Mobility, Vancouver Coastal Health Research Institute, Vancouver, British Columbia, Canada
| | - Elizabeth Dao
- Djavad Mowafaghian Centre for Brain Health, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Radiology, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.,International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, British Columbia, Canada
| | - Chun Liang Hsu
- Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.,Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts, USA
| | - Roger C Tam
- Djavad Mowafaghian Centre for Brain Health, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.,School of Biomedical Engineering, Faculty of Applied Science and Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Kevin Lam
- Department of Medicine, Division of Neurology, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Walid Alkeridy
- Djavad Mowafaghian Centre for Brain Health, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Medicine, King Saud University, College of Medicine, Riyadh, Saudi Arabia.,Department of Medicine, Division of Geriatrics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Cornelia Laule
- Department of Radiology, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.,International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada
| | - Irene M Vavasour
- Department of Radiology, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.,International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, British Columbia, Canada
| | - Ryan G Stein
- Djavad Mowafaghian Centre for Brain Health, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.,Centre for Hip Health and Mobility, Vancouver Coastal Health Research Institute, Vancouver, British Columbia, Canada
| | - Teresa Liu-Ambrose
- Djavad Mowafaghian Centre for Brain Health, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.,Centre for Hip Health and Mobility, Vancouver Coastal Health Research Institute, Vancouver, British Columbia, Canada
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10
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Hirsch-Reinshagen V, Velenosi A, Morris SR, Dong K, Samadi-Bahrami Z, Nassimbwa S, Abdelaziz E, Kozlowski P, Moore GRW, Laule C, Kwon BK. International Spinal Cord Injury Biobank: A Biorepository and Resource for Translational Research. J Neurotrauma 2022; 39:1708-1715. [PMID: 35761793 DOI: 10.1089/neu.2022.0175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
Over the past few decades, tremendous advances have been made in our understanding of the biological changes underpinning the devastating impairment of traumatic spinal cord injury (SCI). Much of this scientific research has focused on animal models of SCI, and comparatively little has been done in human SCI, largely because biospecimens from human SCI patients are not readily available. This paucity of scientific enquiry in human SCI represents an important void in the spectrum of translational research, as biological differences between animal models and the human condition need to be considered in the pre-clinical development of therapeutic approaches. The International Spinal Cord Injury Biobank (ISCIB) is a multi-user biorepository with the mission of accelerating therapeutic development in traumatic SCI through improved biological understanding of human injury, and the vision of serving as a global research resource where human SCI biospecimens are shared with researchers around the world. Aligned with internationally recognized best practices, ISCIB's formal governance structure and standard operating procedures have earned it official biobank certification through the Canadian Tissue Repository Network. Herein, we describe the translational research gap that ISCIB is helping to fill; its structure, governance and certification; how data and samples are accrued, processed and stored; and finally, the process through which samples and data are shared with global researchers. The purpose of this paper describing ISCIB is to serve as an introductory guidance document for the wider community of SCI researchers. By helping researchers understand the contents of ISCIB and the process of accessing biospecimens, we seek to further ISCIB's vision as being a resource for human and translational research in SCI, with the ultimate goal of finding disease-modifying therapies for this disabling condition.
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Affiliation(s)
- Veronica Hirsch-Reinshagen
- Department of Pathology and Laboratory Medicine, University of British Columbia, British Columbia, Canada.,International Collaboration on Repair Discoveries, University of British Columbia, British Columbia, Canada
| | - Adam Velenosi
- International Collaboration on Repair Discoveries, University of British Columbia, British Columbia, Canada.,Praxis Spinal Cord Institute, British Columbia, Canada
| | - Sarah R Morris
- International Collaboration on Repair Discoveries, University of British Columbia, British Columbia, Canada.,Department of Physics and Astronomy, University of British Columbia, British Columbia, Canada
| | - Kevin Dong
- International Collaboration on Repair Discoveries, University of British Columbia, British Columbia, Canada.,Praxis Spinal Cord Institute, British Columbia, Canada
| | - Zahra Samadi-Bahrami
- International Collaboration on Repair Discoveries, University of British Columbia, British Columbia, Canada.,Praxis Spinal Cord Institute, British Columbia, Canada
| | - Sureyah Nassimbwa
- International Collaboration on Repair Discoveries, University of British Columbia, British Columbia, Canada.,Praxis Spinal Cord Institute, British Columbia, Canada
| | - Eslam Abdelaziz
- International Collaboration on Repair Discoveries, University of British Columbia, British Columbia, Canada.,Praxis Spinal Cord Institute, British Columbia, Canada
| | - Piotr Kozlowski
- International Collaboration on Repair Discoveries, University of British Columbia, British Columbia, Canada.,Department of Radiology, University of British Columbia, British Columbia, Canada
| | - G R Wayne Moore
- Department of Pathology and Laboratory Medicine, University of British Columbia, British Columbia, Canada.,International Collaboration on Repair Discoveries, University of British Columbia, British Columbia, Canada
| | - Cornelia Laule
- Department of Pathology and Laboratory Medicine, University of British Columbia, British Columbia, Canada.,International Collaboration on Repair Discoveries, University of British Columbia, British Columbia, Canada.,Department of Physics and Astronomy, University of British Columbia, British Columbia, Canada.,Department of Radiology, University of British Columbia, British Columbia, Canada
| | - Brian K Kwon
- International Collaboration on Repair Discoveries, University of British Columbia, British Columbia, Canada.,Department of Orthopedics, University of British Columbia, British Columbia, Canada
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11
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Silva NCBS, Dao E, Hsu CL, Tam R, Lam K, Alkeridy WA, Stein RG, Laule C, Vavasour IM, Liu‐Ambrose T. Higher physical activity is associated with greater myelin content in older adults with cerebral small vessel disease and mild cognitive impairment. Alzheimers Dement 2022. [DOI: 10.1002/alz.066988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Nárlon Cássio Boa Sorte Silva
- Djavad Mowafaghian Centre for Brain Health Vancouver BC Canada
- University of British Columbia Vancouver BC Canada
- Centre for Hip Health and Mobility Vancouver BC Canada
| | - Elizabeth Dao
- Djavad Mowafaghian Centre for Brain Health Vancouver BC Canada
- University of British Columbia Vancouver BC Canada
- International Collaboration on Repair Discoveries Vancouver BC Canada
| | - Chun Liang Hsu
- Hinda and Arthur Marcus Institute for Aging Research Boston MA USA
| | - Roger Tam
- Djavad Mowafaghian Centre for Brain Health Vancouver BC Canada
- University of British Columbia Vancouver BC Canada
| | - Kevin Lam
- University of British Columbia Vancouver BC Canada
| | - Walid Ahmed Alkeridy
- University of British Columbia Vancouver BC Canada
- King Saud University Riaydh Saudi Arabia
| | - Ryan G Stein
- Djavad Mowafaghian Centre for Brain Health Vancouver BC Canada
- University of British Columbia Vancouver BC Canada
- Centre for Hip Health and Mobility Vancouver BC Canada
| | - Cornelia Laule
- University of British Columbia Vancouver BC Canada
- International Collaboration on Repair Discoveries Vancouver BC Canada
| | - Irene M Vavasour
- University of British Columbia Vancouver BC Canada
- International Collaboration on Repair Discoveries Vancouver BC Canada
| | - Teresa Liu‐Ambrose
- Djavad Mowafaghian Centre for Brain Health Vancouver BC Canada
- University of British Columbia Vancouver BC Canada
- Centre for Hip Health and Mobility Vancouver BC Canada
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12
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Koch C, Bagnato F, Laule C, Gauthier SA. Editorial: Measuring progression in Multiple Sclerosis: Progressing beyond the ordinary. Front Hum Neurosci 2022; 16:1095208. [PMID: 36483634 PMCID: PMC9723981 DOI: 10.3389/fnhum.2022.1095208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 11/11/2022] [Indexed: 01/11/2023] Open
Affiliation(s)
- Carynn Koch
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States,*Correspondence: Carynn Koch
| | - Francesca Bagnato
- Neuroimaging Unit, Division of Neuroimmunology, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States,Department of Neurology, Veteran Affairs Medical Center, TN Valley Healthcare System, Nashville, TN, United States
| | - Cornelia Laule
- Department of Radiology, University of British Columbia, Vancouver, BC, Canada,Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada,International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, BC, Canada,Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada
| | - Susan A. Gauthier
- Department of Neurology, Weill Cornell Medicine, Cornell University, New York, NY, United States
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13
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Silva NCBS, Dao E, Hsu CL, Tam RC, Stein R, Alkeridy W, Laule C, Vavasour IM, Liu-Ambrose T. Myelin Content and Gait Impairment in Older Adults with Cerebral Small Vessel Disease and Mild Cognitive Impairment. Neurobiol Aging 2022; 119:56-66. [DOI: 10.1016/j.neurobiolaging.2022.03.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 02/19/2022] [Accepted: 03/15/2022] [Indexed: 11/25/2022]
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14
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Morris SR, Frederick R, MacKay AL, Laule C, Michal CA. Orientation dependence of inhomogeneous magnetization transfer and dipolar order relaxation rate in phospholipid bilayers. J Magn Reson 2022; 338:107205. [PMID: 35390716 DOI: 10.1016/j.jmr.2022.107205] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 03/02/2022] [Accepted: 03/21/2022] [Indexed: 06/14/2023]
Abstract
Inhomogeneous magnetization transfer (ihMT) is a novel MRI technique used to measure white matter myelination in the brain and spinal cord. In the brain, ihMT has a strong orientation dependence which is likely to arise from the anisotropy of dipolar couplings between protons on oriented lipids in the myelin bilayers. We measured the orientation dependence of the second moment (M2) of the lineshape, dipolar order relaxation rate (R1D), and ihMT ratio (ihMTR) in an oriented phospholipid bilayer at 9.4 T. We found a strong orientation dependence in all three parameters. ihMTR and R1D were maximized when the bilayers were aligned perpendicular to B0 and minimized near the magic angle (∼54.7°). M2 followed an orientation dependence given by the second Legendre polynomial squared as predicted by the form of the secular dipolar Hamiltonian. These results were used to calculate the orientation dependence of R1D and ihMTR in a diffusionless myelin sheath model, which showed ihMTR was maximised for fibers perpendicular to B0 and minimised at 45°, similar to ex-vivo spinal cord with a larger prepulse frequency offset, but in contrast to in vivo brain findings. Adding fiber dispersion to this model smoothed the orientation dependence curve as expected. Our results suggest the importance of the effects of lipid diffusion and prepulse offset frequency on ihMTR.
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Affiliation(s)
- Sarah R Morris
- International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Canada; Dept. of Radiology, University of British Columbia, Canada; Dept. of Physics & Astronomy, University of British Columbia, Canada
| | - Rebecca Frederick
- Dept. of Physics & Astronomy, University of British Columbia, Canada
| | - Alex L MacKay
- Dept. of Radiology, University of British Columbia, Canada; Dept. of Physics & Astronomy, University of British Columbia, Canada; UBC MRI Research Centre, University of British Columbia, Canada
| | - Cornelia Laule
- International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Canada; Dept. of Radiology, University of British Columbia, Canada; Dept. of Physics & Astronomy, University of British Columbia, Canada; Dept. of Pathology and Laboratory Medicine, University of British Columbia, Canada
| | - Carl A Michal
- Dept. of Physics & Astronomy, University of British Columbia, Canada
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15
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Johnson P, Chan JK, Vavasour IM, Abel S, Lee LE, Yong H, Laule C, Li DKB, Tam R, Traboulsee A, Carruthers RL, Kolind SH. Quantitative MRI findings indicate diffuse white matter damage in Susac Syndrome. Mult Scler J Exp Transl Clin 2022; 8:20552173221078834. [PMID: 35186315 PMCID: PMC8851927 DOI: 10.1177/20552173221078834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 01/21/2022] [Indexed: 11/15/2022] Open
Abstract
Background Susac Syndrome (SuS) is an autoimmune endotheliopathy impacting the brain, retina and cochlea that can clinically mimic multiple sclerosis (MS). Objective To evaluate non-lesional white matter demyelination changes in SuS compared to MS and healthy controls (HC) using quantitative MRI. Methods 3T MRI including myelin water imaging and diffusion basis spectrum imaging were acquired for 7 SuS, 10 MS and 10 HC participants. Non-lesional white matter was analyzed in the corpus callosum (CC) and normal appearing white matter (NAWM). Groups were compared using ANCOVA with Tukey correction. Results SuS CC myelin water fraction (mean 0.092) was lower than MS(0.11, p = 0.01) and HC(0.11, p = 0.04). Another myelin marker, radial diffusivity, was increased in SuS CC(0.27μm2/ms) compared to HC(0.21μm2/ms, p = 0.008) and MS(0.23μm2/ms, p = 0.05). Fractional anisotropy was lower in SuS CC(0.82) than HC(0.86, p = 0.04). Fiber fraction (reflecting axons) did not differ from HC or MS. In NAWM, radial diffusivity and apparent diffusion coefficient were significantly increased in SuS compared to HC(p < 0.001 for both measures) and MS(p = 0.003, p < 0.001 respectively). Conclusions Our results provided evidence of myelin damage in SuS, particularly in the CC, and more extensive microstructural injury in NAWM, supporting the hypothesis that there are widespread microstructural changes in SuS syndrome including diffuse demyelination.
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Affiliation(s)
| | - JK Chan
- Department of Medicine (Neurology), University of British Columbia, Canada
| | - IM Vavasour
- Department of Radiology, University of British Columbia, Canada
- International Collaboration on Repair Discoveries (ICORD)
| | | | | | - H Yong
- Department of Medicine (Neurology), University of British Columbia, Canada
| | - C Laule
- Department of Radiology, University of British Columbia, Canada
- International Collaboration on Repair Discoveries (ICORD)
- Department of Pathology and Laboratory Medicine, University of British Columbia, Canada
- Department of Physics and Astronomy, University of British Columbia, Canada
| | - DKB Li
- Department of Medicine (Neurology), University of British Columbia, Canada
- Department of Radiology, University of British Columbia, Canada
| | - R Tam
- Department of Radiology, University of British Columbia, Canada
- School of Biomedical Engineering, University of British Columbia, Canada
| | | | - RL Carruthers
- Department of Medicine (Neurology), University of British Columbia, Canada
| | - SH Kolind
- Department of Medicine (Neurology), University of British Columbia, Canada
- Department of Radiology, University of British Columbia, Canada
- International Collaboration on Repair Discoveries (ICORD)
- Department of Physics and Astronomy, University of British Columbia, Canada
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16
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Taheri K, Vavasour IM, Abel S, Lee LE, Johnson P, Ristow S, Tam R, Laule C, Ackermans NC, Schabas A, Cross H, Chan JK, Sayao AL, Bhan V, Devonshire V, Carruthers R, Li DK, Traboulsee AL, Kolind SH, Dvorak AV. Cervical Spinal Cord Atrophy can be Accurately Quantified Using Head Images. Mult Scler J Exp Transl Clin 2022; 8:20552173211070760. [PMID: 35024164 PMCID: PMC8743948 DOI: 10.1177/20552173211070760] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 12/16/2021] [Indexed: 11/16/2022] Open
Abstract
Background Spinal cord atrophy provides a clinically relevant metric for monitoring MS. However, the spinal cord is imaged far less frequently than brain due to artefacts and acquisition time, whereas MRI of the brain is routinely performed. Objective To validate spinal cord cross-sectional area measurements from routine 3DT1 whole-brain MRI versus those from dedicated cord MRI in healthy controls and people with MS. Methods We calculated cross-sectional area at C1 and C2/3 using T2*-weighted spinal cord images and 3DT1 brain images, for 28 healthy controls and 73 people with MS. Correlations for both groups were assessed between: (1) C1 and C2/3 using cord images; (2) C1 from brain and C1 from cord; and (3) C1 from brain and C2/3 from cord. Results and Conclusion C1 and C2/3 from cord were strongly correlated in controls (r = 0.94, p<0.0001) and MS (r = 0.85, p<0.0001). There was strong agreement between C1 from brain and C2/3 from cord in controls (r = 0.84, p<0.0001) and MS (r = 0.81, p<0.0001). This supports the use of C1 cross-sectional area calculated from brain imaging as a surrogate for the traditional C2/3 cross-sectional area measure for spinal cord atrophy.
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Affiliation(s)
- Kamyar Taheri
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Irene M Vavasour
- Department of Radiology, University of British Columbia, Vancouver, BC, Canada
| | | | | | | | - Stephen Ristow
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Roger Tam
- Department of Radiology, University of British Columbia, Vancouver, BC, Canada
| | - Cornelia Laule
- Department of Radiology, University of British Columbia, Vancouver, BC, Canada
| | | | | | | | | | | | | | | | - Robert Carruthers
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - David Kb Li
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | | | - Shannon H Kolind
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Adam Vladimir Dvorak
- Department of Physics & Astronomy, University of British Columbia, Vancouver, BC, Canada
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17
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Kolind S, Abel S, Taylor C, Tam R, Laule C, Li DK, Garren H, Gaetano L, Bernasconi C, Clayton D, Vavasour I, Traboulsee A. Myelin water imaging in relapsing multiple sclerosis treated with ocrelizumab and interferon beta-1a. NeuroImage: Clinical 2022; 35:103109. [PMID: 35878575 PMCID: PMC9421448 DOI: 10.1016/j.nicl.2022.103109] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 06/27/2022] [Accepted: 07/10/2022] [Indexed: 11/26/2022] Open
Abstract
2-Year change in MS myelin water fraction favored ocrelizumab over interferon. Matched healthy controls showed no change in myelin water fraction over 2 years. Ocrelizumab appears to protect against demyelination in MS white matter and lesions.
Background Myelin water imaging is a magnetic resonance imaging (MRI) technique that quantifies myelin damage and repair in multiple sclerosis (MS) via the myelin water fraction (MWF). Objective In this substudy of a phase 3 therapeutic trial, OPERA II, MWF was assessed in relapsing MS participants assigned to interferon beta-1a (IFNb-1a) or ocrelizumab (OCR) during a two-year double-blind period (DBP) followed by a two-year open label extension (OLE) with ocrelizumab treatment. Methods MWF in normal appearing white matter (NAWM), including both whole brain NAWM and 5 white matter structures, and chronic lesions, was assessed in 29 OCR and 26 IFNb-1a treated participants at weeks 0, 24, 48 and 96 (DBP), and weeks 144 and 192 (OLE), and in white matter for 23 healthy control participants at weeks 0, 48 and 96. Results Linear mixed-effects models of data from baseline to week 96 showed a difference in the change in MWF over time favouring ocrelizumab in all NAWM regions. At week 192, lesion MWF was lower for participants originally randomised to IFNb-1a compared to those originally randomised to OCR. Controls showed no change in MWF over 96 weeks in any region. Conclusion Ocrelizumab appears to protect against demyelination in MS NAWM and chronic lesions and may allow for a more permissive micro environment for remyelination to occur in focal and diffusely damaged tissue.
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18
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Yik JT, Becquart P, Gill J, Petkau J, Traboulsee A, Carruthers R, Kolind SH, Devonshire V, Sayao AL, Schabas A, Tam R, Moore GRW, Li DKB, Stukas S, Wellington C, Quandt JA, Vavasour IM, Laule C. Serum neurofilament light chain correlates with myelin and axonal magnetic resonance imaging markers in multiple sclerosis. Mult Scler Relat Disord 2022; 57:103366. [PMID: 35158472 DOI: 10.1016/j.msard.2021.103366] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 10/08/2021] [Accepted: 11/01/2021] [Indexed: 12/16/2022]
Abstract
BACKGROUND Neurofilaments are cytoskeletal proteins that are detectable in the blood after neuroaxonal injury. Multiple sclerosis (MS) disease progression, greater lesion volume, and brain atrophy are associated with higher levels of serum neurofilament light chain (NfL), but few studies have examined the relationship between NfL and advanced magnetic resonance imaging (MRI) measures related to myelin and axons. We assessed the relationship between serum NfL and brain MRI measures in a diverse group of MS participants. METHODS AND MATERIALS 103 participants (20 clinically isolated syndrome, 33 relapsing-remitting, 30 secondary progressive, 20 primary progressive) underwent 3T MRI to obtain myelin water fraction (MWF), geometric mean T2 (GMT2), water content, T1; high angular resolution diffusion imaging (HARDI)-derived axial diffusivity (AD), radial diffusivity (RD), fractional anisotropy (FA); diffusion basis spectrum imaging (DBSI)-derived AD, RD, FA; restricted, hindered, water and fiber fractions; and volume measurements of normalized brain, lesion, thalamic, deep gray matter (GM), and cortical thickness. Multiple linear regressions assessed the strength of association between serum NfL (dependent variable) and each MRI measure in whole brain (WB), normal appearing white matter (NAWM) and T2 lesions (independent variables), while controlling for age, expanded disability status scale, and disease duration. RESULTS Serum NfL levels were significantly associated with metrics of axonal damage (FA: R2WB-HARDI = 0.29, R2NAWM-HARDI = 0.31, R2NAWM-DBSI = 0.30, R2Lesion-DBSI = 0.31; AD: R2WB-HARDI=0.31), myelin damage (MWF: R2WB = 0.29, R2NAWM = 0.30, RD: R2WB-HARDI = 0.32, R2NAWM-HARDI = 0.34, R2Lesion-DBSI = 0.30), edema and inflammation (T1: R2Lesion = 0.32; GMT2: R2WB = 0.31, R2Lesion = 0.31), and cellularity (restricted fraction R2WB = 0.30, R2NAWM = 0.32) across the entire MS cohort. Higher serum NfL levels were associated with significantly higher T2 lesion volume (R2 = 0.35), lower brain structure volumes (thalamus R2 = 0.31; deep GM R2 = 0.33; normalized brain R2 = 0.31), and smaller cortical thickness R2 = 0.31). CONCLUSION The association between NfL and myelin MRI markers suggest that elevated serum NfL is a useful biomarker that reflects not only acute axonal damage, but also damage to myelin and inflammation, likely due to the known synergistic myelin-axon coupling relationship.
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Affiliation(s)
- Jackie T Yik
- Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada; International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada
| | - Pierre Becquart
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Jasmine Gill
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - John Petkau
- Department of Statistics, University of British Columbia, Vancouver, BC, Canada
| | - Anthony Traboulsee
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Robert Carruthers
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Shannon H Kolind
- Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada; International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada; Department of Medicine, University of British Columbia, Vancouver, BC, Canada; Department of Radiology, University of British Columbia, Vancouver, BC, Canada
| | - Virginia Devonshire
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Ana-Luiza Sayao
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Alice Schabas
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Roger Tam
- Department of Radiology, University of British Columbia, Vancouver, BC, Canada
| | - G R Wayne Moore
- International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - David K B Li
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada; Department of Radiology, University of British Columbia, Vancouver, BC, Canada
| | - Sophie Stukas
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Cheryl Wellington
- International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Jacqueline A Quandt
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Irene M Vavasour
- International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada; Department of Radiology, University of British Columbia, Vancouver, BC, Canada
| | - Cornelia Laule
- Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada; International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada; Department of Radiology, University of British Columbia, Vancouver, BC, Canada.
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19
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Vavasour IM, Becquart P, Gill J, Zhao G, Yik JT, Traboulsee A, Carruthers RL, Kolind SH, Schabas AJ, Sayao AL, Devonshire V, Tam R, Moore GRW, Stukas S, Wellington CL, Quandt JA, Li DKB, Laule C. Diffusely abnormal white matter in clinically isolated syndrome is associated with parenchymal loss and elevated neurofilament levels. Mult Scler Relat Disord 2021; 57:103422. [PMID: 34871858 DOI: 10.1016/j.msard.2021.103422] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 10/23/2021] [Accepted: 11/20/2021] [Indexed: 11/19/2022]
Abstract
We characterized the frequency of diffusely abnormal white matter (DAWM) across a broad spectrum of multiple sclerosis (MS) participants. 35% of clinically isolated syndrome (CIS), 57% of relapsing remitting and 64% of secondary progressive MS participants demonstrated DAWM. CIS with DAWM had decreased cortical thickness, higher lesion load and a higher concentration of serum neurofilament light chain compared to CIS without DAWM. DAWM may be useful in identifying CIS patients with greater injury to their brains. Larger and longitudinal studies are warranted.
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Affiliation(s)
- I M Vavasour
- Radiology, University of British Columbia, Vancouver, British Columbia, Canada; International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, British Columbia, Canada.
| | - P Becquart
- Pathology & Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - J Gill
- Pathology & Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - G Zhao
- MS/MRI Research Group, University of British Columbia, Vancouver, British Columbia, Canada
| | - J T Yik
- International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, British Columbia, Canada; Physics & Astronomy, University of British Columbia, Vancouver, British Columbia, Canada
| | - A Traboulsee
- MS/MRI Research Group, University of British Columbia, Vancouver, British Columbia, Canada; Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - R L Carruthers
- Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - S H Kolind
- Radiology, University of British Columbia, Vancouver, British Columbia, Canada; International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, British Columbia, Canada; MS/MRI Research Group, University of British Columbia, Vancouver, British Columbia, Canada; Medicine, University of British Columbia, Vancouver, British Columbia, Canada; Physics & Astronomy, University of British Columbia, Vancouver, British Columbia, Canada
| | - A J Schabas
- Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - A L Sayao
- Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - V Devonshire
- Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - R Tam
- Radiology, University of British Columbia, Vancouver, British Columbia, Canada; MS/MRI Research Group, University of British Columbia, Vancouver, British Columbia, Canada; School of Biomedical Engineering, University of British Columbia, Vancouver, British Columbia, Canada
| | - G R W Moore
- International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, British Columbia, Canada; Pathology & Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada; Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - S Stukas
- Pathology & Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - C L Wellington
- Pathology & Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - J A Quandt
- Pathology & Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - D K B Li
- Radiology, University of British Columbia, Vancouver, British Columbia, Canada; MS/MRI Research Group, University of British Columbia, Vancouver, British Columbia, Canada; Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - C Laule
- Radiology, University of British Columbia, Vancouver, British Columbia, Canada; International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, British Columbia, Canada; Pathology & Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada; Physics & Astronomy, University of British Columbia, Vancouver, British Columbia, Canada
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20
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Cairns J, Vavasour IM, Traboulsee A, Carruthers R, Kolind SH, Li DKB, Moore GRW, Laule C. Diffusely abnormal white matter in multiple sclerosis. J Neuroimaging 2021; 32:5-16. [PMID: 34752664 DOI: 10.1111/jon.12945] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 10/17/2021] [Accepted: 10/18/2021] [Indexed: 02/06/2023] Open
Abstract
MRI enables detailed in vivo depiction of multiple sclerosis (MS) pathology. Localized areas of MS damage, commonly referred to as lesions, or plaques, have been a focus of clinical and research MRI studies for over four decades. A nonplaque MRI abnormality which is present in at least 25% of MS patients but has received far less attention is diffusely abnormal white matter (DAWM). DAWM has poorly defined boundaries and a signal intensity that is between normal-appearing white matter and classic lesions on proton density and T2 -weighted images. All clinical phenotypes of MS demonstrate DAWM, including clinically isolated syndrome, where DAWM is associated with higher lesion volume, reduced brain volume, and earlier conversion to MS. Advanced MRI metric abnormalities in DAWM tend to be greater than those in NAWM, but not as severe as focal lesions, with myelin, axons, and water-related changes commonly reported. Histological studies demonstrate a primary lipid abnormality in DAWM, with some axonal damage and lesser involvement of myelin proteins. This review provides an overview of DAWM identification, summarizes in vivo and postmortem observations, and comments on potential pathophysiological mechanisms, which may underlie DAWM in MS. Given the prevalence and potential clinical impact of DAWM, the number of imaging studies focusing on DAWM is insufficient. Characterization of DAWM significance and microstructure would benefit from larger longitudinal and additional quantitative imaging efforts. Revisiting data from previous studies that included proton density and T2 imaging would enable retrospective DAWM identification and analysis.
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Affiliation(s)
- James Cairns
- Department of Medicine (Neurology), University of British Columbia, British Columbia, Vancouver, Canada.,Department of Radiology, University of British Columbia, British Columbia, Vancouver, Canada
| | - Irene M Vavasour
- Department of Radiology, University of British Columbia, British Columbia, Vancouver, Canada.,International Collaboration on Repair Discoveries, Blusson Spinal Cord Centre, University of British Columbia, British Columbia, Vancouver, Canada
| | - Anthony Traboulsee
- Department of Medicine (Neurology), University of British Columbia, British Columbia, Vancouver, Canada
| | - Robert Carruthers
- Department of Medicine (Neurology), University of British Columbia, British Columbia, Vancouver, Canada
| | - Shannon H Kolind
- Department of Medicine (Neurology), University of British Columbia, British Columbia, Vancouver, Canada.,Department of Radiology, University of British Columbia, British Columbia, Vancouver, Canada.,International Collaboration on Repair Discoveries, Blusson Spinal Cord Centre, University of British Columbia, British Columbia, Vancouver, Canada.,Department of Physics & Astronomy, University of British Columbia, British Columbia, Vancouver, Canada
| | - David K B Li
- Department of Medicine (Neurology), University of British Columbia, British Columbia, Vancouver, Canada.,Department of Radiology, University of British Columbia, British Columbia, Vancouver, Canada
| | - G R Wayne Moore
- Department of Medicine (Neurology), University of British Columbia, British Columbia, Vancouver, Canada.,International Collaboration on Repair Discoveries, Blusson Spinal Cord Centre, University of British Columbia, British Columbia, Vancouver, Canada.,Department of Pathology & Laboratory Medicine, University of British Columbia, British Columbia, Vancouver, Canada
| | - Cornelia Laule
- Department of Radiology, University of British Columbia, British Columbia, Vancouver, Canada.,International Collaboration on Repair Discoveries, Blusson Spinal Cord Centre, University of British Columbia, British Columbia, Vancouver, Canada.,Department of Physics & Astronomy, University of British Columbia, British Columbia, Vancouver, Canada.,Department of Pathology & Laboratory Medicine, University of British Columbia, British Columbia, Vancouver, Canada
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21
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Cohen-Adad J, Alonso-Ortiz E, Abramovic M, Arneitz C, Atcheson N, Barlow L, Barry RL, Barth M, Battiston M, Büchel C, Budde M, Callot V, Combes AJE, De Leener B, Descoteaux M, de Sousa PL, Dostál M, Doyon J, Dvorak A, Eippert F, Epperson KR, Epperson KS, Freund P, Finsterbusch J, Foias A, Fratini M, Fukunaga I, Gandini Wheeler-Kingshott CAM, Germani G, Gilbert G, Giove F, Gros C, Grussu F, Hagiwara A, Henry PG, Horák T, Hori M, Joers J, Kamiya K, Karbasforoushan H, Keřkovský M, Khatibi A, Kim JW, Kinany N, Kitzler HH, Kolind S, Kong Y, Kudlička P, Kuntke P, Kurniawan ND, Kusmia S, Labounek R, Laganà MM, Laule C, Law CS, Lenglet C, Leutritz T, Liu Y, Llufriu S, Mackey S, Martinez-Heras E, Mattera L, Nestrasil I, O'Grady KP, Papinutto N, Papp D, Pareto D, Parrish TB, Pichiecchio A, Prados F, Rovira À, Ruitenberg MJ, Samson RS, Savini G, Seif M, Seifert AC, Smith AK, Smith SA, Smith ZA, Solana E, Suzuki Y, Tackley G, Tinnermann A, Valošek J, Van De Ville D, Yiannakas MC, Weber Ii KA, Weiskopf N, Wise RG, Wyss PO, Xu J. Author Correction: Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers. Sci Data 2021; 8:251. [PMID: 34556662 PMCID: PMC8460649 DOI: 10.1038/s41597-021-01044-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Affiliation(s)
- Julien Cohen-Adad
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada. .,Functional Neuroimaging Unit, CRIUGM, Université de Montréal, Montreal, QC, Canada. .,Mila - Quebec AI Institute, Montreal, QC, Canada.
| | - Eva Alonso-Ortiz
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada
| | - Mihael Abramovic
- Department of Radiology, Swiss Paraplegic Centre, Nottwil, Switzerland
| | - Carina Arneitz
- Department of Radiology, Swiss Paraplegic Centre, Nottwil, Switzerland
| | - Nicole Atcheson
- Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia
| | - Laura Barlow
- Department of Radiology, University of British Columbia, Vancouver, BC, Canada
| | - Robert L Barry
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.,Department of Radiology, Harvard Medical School, Boston, MA, USA.,Harvard-Massachusetts Institute of Technology Health Sciences & Technology, Cambridge, MA, USA
| | - Markus Barth
- School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia
| | - Marco Battiston
- NMR Research Unit, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Christian Büchel
- Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Matthew Budde
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Virginie Callot
- Aix-Marseille Univ, CNRS, CRMBM, Marseille, France.,APHM, Hopital Universitaire Timone, CEMEREM, Marseille, France
| | - Anna J E Combes
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Benjamin De Leener
- Department of Computer and Software Engineering, Polytechnique Montreal, Montreal, Canada.,CHU Sainte-Justine Research Centre, Montreal, QC, Canada
| | - Maxime Descoteaux
- Centre de Recherche CHUS, CIMS, Sherbrooke, Canada.,Sherbrooke Connectivity Imaging Lab (SCIL), Computer Science department, Université de Sherbrooke, Sherbrooke, Canada
| | | | - Marek Dostál
- UHB - University Hospital Brno and Masaryk University, Department of Radiology and Nuclear Medicine, Brno, Czech Republic
| | - Julien Doyon
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Adam Dvorak
- Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada
| | - Falk Eippert
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Karla R Epperson
- Richard M. Lucas Center, Stanford University School of Medicine, Stanford, CA, USA
| | - Kevin S Epperson
- Richard M. Lucas Center, Stanford University School of Medicine, Stanford, CA, USA
| | - Patrick Freund
- Spinal Cord Injury Center Balgrist, University of Zurich, Zurich, Switzerland
| | - Jürgen Finsterbusch
- Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Alexandru Foias
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada
| | - Michela Fratini
- Institute of Nanotechnology, CNR, Rome, Italy.,IRCCS Santa Lucia Foundation, Rome, Italy
| | - Issei Fukunaga
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
| | - Claudia A M Gandini Wheeler-Kingshott
- NMR Research Unit, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.,Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy.,Brain MRI 3T Research Centre, IRCCS Mondino Foundation, Pavia, Italy
| | - Giancarlo Germani
- Brain MRI 3T Research Centre, IRCCS Mondino Foundation, Pavia, Italy
| | | | - Federico Giove
- IRCCS Santa Lucia Foundation, Rome, Italy.,CREF - Museo storico della fisica e Centro studi e ricerche Enrico Fermi, Rome, Italy
| | - Charley Gros
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada.,Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia
| | - Francesco Grussu
- NMR Research Unit, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.,Radiomics Group, Vall d'Hebron Institute of Oncology, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain
| | - Akifumi Hagiwara
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
| | - Pierre-Gilles Henry
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, USA
| | - Tomáš Horák
- Multimodal and functional imaging laboratory, Central European Institute of Technology (CEITEC), Brno, Czech Republic
| | - Masaaki Hori
- Department of Radiology, Toho University Omori Medical Center, Tokyo, Japan
| | - James Joers
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, USA
| | - Kouhei Kamiya
- Department of Radiology, the University of Tokyo, Tokyo, Japan
| | - Haleh Karbasforoushan
- Interdepartmental Neuroscience Program, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.,Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, USA
| | - Miloš Keřkovský
- UHB - University Hospital Brno and Masaryk University, Department of Radiology and Nuclear Medicine, Brno, Czech Republic
| | - Ali Khatibi
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.,Centre of Precision Rehabilitation for Spinal Pain (CPR Spine), School of Sport, Exercise and Rehabilitation Sciences, College of Life and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, UK
| | - Joo-Won Kim
- BioMedical Engineering and Imaging Institute (BMEII), Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Nawal Kinany
- Institute of Bioengineering/Center for Neuroprosthetics, Ecole Polytechnique Fédérale de Lausanne, Geneva, Switzerland.,Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland
| | - Hagen H Kitzler
- Institute of Diagnostic and Interventional Neuroradiology, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany
| | - Shannon Kolind
- Department of Radiology, University of British Columbia, Vancouver, BC, Canada.,Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada.,Department Of Medicine (Neurology), University of British Columbia, Vancouver, BC, Canada
| | - Yazhuo Kong
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.,Wellcome Centre For Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Petr Kudlička
- Multimodal and functional imaging laboratory, Central European Institute of Technology (CEITEC), Brno, Czech Republic
| | - Paul Kuntke
- Institute of Diagnostic and Interventional Neuroradiology, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany
| | - Nyoman D Kurniawan
- Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia
| | - Slawomir Kusmia
- CUBRIC, Cardiff University, Wales, UK.,Centre for Medical Image Computing (CMIC), Medical Physics and Biomedical Engineering Department, University College London, London, UK.,Epilepsy Society MRI Unit, Chalfont St Peter, UK
| | - René Labounek
- Division of Clinical Behavioral Neuroscience, Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA.,Departments of Neurology and Biomedical Engineering, University Hospital Olomouc, Olomouc, Czech Republic
| | | | - Cornelia Laule
- Departments of Radiology, Pathology & Laboratory Medicine, Physics & Astronomy; International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, BC, Canada
| | - Christine S Law
- Division of Pain Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Christophe Lenglet
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, USA
| | - Tobias Leutritz
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Yaou Liu
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Tiantan Image Research Center, China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Sara Llufriu
- Center of Neuroimmunology, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clinic Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) and Universitat de Barcelona, Barcelona, Spain
| | - Sean Mackey
- Division of Pain Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Eloy Martinez-Heras
- Center of Neuroimmunology, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clinic Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) and Universitat de Barcelona, Barcelona, Spain
| | - Loan Mattera
- Fondation Campus Biotech Genève, 1202, Geneva, Switzerland
| | - Igor Nestrasil
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, USA.,Division of Clinical Behavioral Neuroscience, Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
| | - Kristin P O'Grady
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.,Department of Radiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Nico Papinutto
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Daniel Papp
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada.,Wellcome Centre For Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Deborah Pareto
- Neuroradiology Section, Vall d'Hebron University Hospital, Barcelona, Spain
| | - Todd B Parrish
- Interdepartmental Neuroscience Program, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Anna Pichiecchio
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy.,Brain MRI 3T Research Centre, IRCCS Mondino Foundation, Pavia, Italy
| | - Ferran Prados
- NMR Research Unit, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.,Centre for Medical Image Computing (CMIC), Medical Physics and Biomedical Engineering Department, University College London, London, UK.,E-health Centre, Universitat Oberta de Catalunya, Barcelona, Spain
| | - Àlex Rovira
- Neuroradiology Section, Vall d'Hebron University Hospital, Barcelona, Spain
| | - Marc J Ruitenberg
- School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Rebecca S Samson
- NMR Research Unit, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Giovanni Savini
- Brain MRI 3T Research Centre, IRCCS Mondino Foundation, Pavia, Italy
| | - Maryam Seif
- Spinal Cord Injury Center Balgrist, University of Zurich, Zurich, Switzerland.,Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Alan C Seifert
- BioMedical Engineering and Imaging Institute (BMEII), Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alex K Smith
- Wellcome Centre For Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Seth A Smith
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.,Department of Radiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Zachary A Smith
- University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Elisabeth Solana
- Center of Neuroimmunology, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clinic Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) and Universitat de Barcelona, Barcelona, Spain
| | - Y Suzuki
- Department of Radiology, the University of Tokyo, Tokyo, Japan
| | | | - Alexandra Tinnermann
- Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jan Valošek
- Department of Neurology, Faculty of Medicine and Dentistry, Palacký University and University Hospital Olomouc, Olomouc, Czech Republic
| | - Dimitri Van De Ville
- Institute of Bioengineering/Center for Neuroprosthetics, Ecole Polytechnique Fédérale de Lausanne, Geneva, Switzerland.,Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland
| | - Marios C Yiannakas
- NMR Research Unit, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Kenneth A Weber Ii
- Division of Pain Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Nikolaus Weiskopf
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,Felix Bloch Institute for Solid State Physics, Faculty of Physics and Earth Sciences, Leipzig University, Leipzig, Germany
| | - Richard G Wise
- CUBRIC, Cardiff University, Wales, UK.,Institute for Advanced Biomedical Technologies, Department of Neuroscience, Imaging and Clinical Sciences, "G. D'Annunzio University" of Chieti-Pescara, Chieti-Pescara, Italy
| | - Patrik O Wyss
- Department of Radiology, Swiss Paraplegic Centre, Nottwil, Switzerland
| | - Junqian Xu
- BioMedical Engineering and Imaging Institute (BMEII), Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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22
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Kamma E, Becquart P, Traboulsee A, Schabas A, Vavasour IM, Laule C, Vilariño-Güell C, Quandt JA. Elevated levels of serum CD5 antigen-like protein distinguish secondary progressive multiple sclerosis from other disease subtypes. Mult Scler Relat Disord 2021; 56:103269. [PMID: 34638097 DOI: 10.1016/j.msard.2021.103269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 09/10/2021] [Accepted: 09/16/2021] [Indexed: 10/20/2022]
Abstract
CD5 antigen-like (CD5L) protein is a macrophage-secreted protein with roles in immunomodulation and lipid homeostasis. We compared serum CD5L levels in healthy controls to individuals diagnosed with clinically isolated syndrome, relapsing remitting (RR), secondary progressive (SP), and primary progressive (PP) multiple sclerosis (MS). CD5L was increased in SPMS relative to controls, RRMS, and PPMS. SPMS CD5L was associated with longer disease duration independent of age, sex, or disease severity. The positive relationship between CD5L and disease duration in SPMS suggests a chronic peripheral inflammatory profile compared to other subtypes, particularly PPMS, warranting investigation of functional roles for CD5L in MS.
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Affiliation(s)
- Emily Kamma
- Department of Pathology & Laboratory Medicine, Faculty of Medicine, University of British Columbia, Vancouver, Canada.
| | - Pierre Becquart
- Department of Pathology & Laboratory Medicine, Faculty of Medicine, University of British Columbia, Vancouver, Canada.
| | - Anthony Traboulsee
- Division of Neurology, Department of Medicine, Faculty of Medicine, University of British Columbia, Vancouver, Canada.
| | - Alice Schabas
- Division of Neurology, Department of Medicine, Faculty of Medicine, University of British Columbia, Vancouver, Canada.
| | - Irene M Vavasour
- Department of Radiology, Faculty of Medicine, University of British Columbia, Vancouver, Canada; International Collaboration on Repair Discoveries (ICORD), Faculty of Medicine, University of British Columbia, Vancouver, Canada.
| | - Cornelia Laule
- Department of Pathology & Laboratory Medicine, Faculty of Medicine, University of British Columbia, Vancouver, Canada; Department of Radiology, Faculty of Medicine, University of British Columbia, Vancouver, Canada; International Collaboration on Repair Discoveries (ICORD), Faculty of Medicine, University of British Columbia, Vancouver, Canada; Department of Physics & Astronomy, Faculty of Science, University of British Columbia, Vancouver, Canada.
| | - Carles Vilariño-Güell
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, Canada.
| | - Jacqueline A Quandt
- Department of Pathology & Laboratory Medicine, Faculty of Medicine, University of British Columbia, Vancouver, Canada; International Collaboration on Repair Discoveries (ICORD), Faculty of Medicine, University of British Columbia, Vancouver, Canada.
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23
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Liu H, Joseph TS, Xiang QS, Tam R, Kozlowski P, Li DKB, MacKay AL, Kramer JLK, Laule C. A data-driven T 2 relaxation analysis approach for myelin water imaging: Spectrum analysis for multiple exponentials via experimental condition oriented simulation (SAME-ECOS). Magn Reson Med 2021; 87:915-931. [PMID: 34490909 DOI: 10.1002/mrm.29000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 08/16/2021] [Accepted: 08/17/2021] [Indexed: 11/08/2022]
Abstract
PURPOSE The decomposition of multi-exponential decay data into a T2 spectrum poses substantial challenges for conventional fitting algorithms, including non-negative least squares (NNLS). Based on a combination of the resolution limit constraint and machine learning neural network algorithm, a data-driven and highly tailorable analysis method named spectrum analysis for multiple exponentials via experimental condition oriented simulation (SAME-ECOS) was proposed. THEORY AND METHODS The theory of SAME-ECOS was derived. Then, a paradigm was presented to demonstrate the SAME-ECOS workflow, consisting of a series of calculation, simulation, and model training operations. The performance of the trained SAME-ECOS model was evaluated using simulations and six in vivo brain datasets. The code is available at https://github.com/hanwencat/SAME-ECOS. RESULTS Using NNLS as the baseline, SAME-ECOS achieved over 15% higher overall cosine similarity scores in producing the T2 spectrum, and more than 10% lower mean absolute error in calculating the myelin water fraction (MWF), as well as demonstrated better robustness to noise in the simulation tests. Applying to in vivo data, MWF from SAME-ECOS and NNLS was highly correlated among all study participants. However, a distinct separation of the myelin water peak and the intra/extra-cellular water peak was only observed in the mean T2 spectra determined using SAME-ECOS. In terms of data processing speed, SAME-ECOS is approximately 30 times faster than NNLS, achieving a whole-brain analysis in 3 min. CONCLUSION Compared with NNLS, the SAME-ECOS method yields much more reliable T2 spectra in a dramatically shorter time, increasing the feasibility of multi-component T2 decay analysis in clinical settings.
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Affiliation(s)
- Hanwen Liu
- Physics & Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.,International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, British Columbia, Canada
| | - Tigris S Joseph
- Physics & Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.,International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, British Columbia, Canada
| | - Qing-San Xiang
- Physics & Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.,Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Roger Tam
- Radiology, University of British Columbia, Vancouver, British Columbia, Canada.,Biomedical Engineering, University of British Columbia, Vancouver, British Columbia, Canada
| | - Piotr Kozlowski
- International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, British Columbia, Canada.,Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - David K B Li
- Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Alex L MacKay
- Physics & Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.,Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - John L K Kramer
- International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, British Columbia, Canada.,Kinesiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Cornelia Laule
- Physics & Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.,International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, British Columbia, Canada.,Radiology, University of British Columbia, Vancouver, British Columbia, Canada.,Pathology & Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
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24
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Cohen-Adad J, Alonso-Ortiz E, Abramovic M, Arneitz C, Atcheson N, Barlow L, Barry RL, Barth M, Battiston M, Büchel C, Budde M, Callot V, Combes AJE, De Leener B, Descoteaux M, de Sousa PL, Dostál M, Doyon J, Dvorak A, Eippert F, Epperson KR, Epperson KS, Freund P, Finsterbusch J, Foias A, Fratini M, Fukunaga I, Gandini Wheeler-Kingshott CAM, Germani G, Gilbert G, Giove F, Gros C, Grussu F, Hagiwara A, Henry PG, Horák T, Hori M, Joers J, Kamiya K, Karbasforoushan H, Keřkovský M, Khatibi A, Kim JW, Kinany N, Kitzler HH, Kolind S, Kong Y, Kudlička P, Kuntke P, Kurniawan ND, Kusmia S, Labounek R, Laganà MM, Laule C, Law CS, Lenglet C, Leutritz T, Liu Y, Llufriu S, Mackey S, Martinez-Heras E, Mattera L, Nestrasil I, O'Grady KP, Papinutto N, Papp D, Pareto D, Parrish TB, Pichiecchio A, Prados F, Rovira À, Ruitenberg MJ, Samson RS, Savini G, Seif M, Seifert AC, Smith AK, Smith SA, Smith ZA, Solana E, Suzuki Y, Tackley G, Tinnermann A, Valošek J, Van De Ville D, Yiannakas MC, Weber Ii KA, Weiskopf N, Wise RG, Wyss PO, Xu J. Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers. Sci Data 2021; 8:219. [PMID: 34400655 PMCID: PMC8368310 DOI: 10.1038/s41597-021-00941-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 03/26/2021] [Indexed: 12/21/2022] Open
Abstract
In a companion paper by Cohen-Adad et al. we introduce the spine generic quantitative MRI protocol that provides valuable metrics for assessing spinal cord macrostructural and microstructural integrity. This protocol was used to acquire a single subject dataset across 19 centers and a multi-subject dataset across 42 centers (for a total of 260 participants), spanning the three main MRI manufacturers: GE, Philips and Siemens. Both datasets are publicly available via git-annex. Data were analysed using the Spinal Cord Toolbox to produce normative values as well as inter/intra-site and inter/intra-manufacturer statistics. Reproducibility for the spine generic protocol was high across sites and manufacturers, with an average inter-site coefficient of variation of less than 5% for all the metrics. Full documentation and results can be found at https://spine-generic.rtfd.io/ . The datasets and analysis pipeline will help pave the way towards accessible and reproducible quantitative MRI in the spinal cord.
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Affiliation(s)
- Julien Cohen-Adad
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada.
- Functional Neuroimaging Unit, CRIUGM, Université de Montréal, Montreal, QC, Canada.
- Mila - Quebec AI Institute, Montreal, QC, Canada.
| | - Eva Alonso-Ortiz
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada
| | - Mihael Abramovic
- Department of Radiology, Swiss Paraplegic Centre, Nottwil, Switzerland
| | - Carina Arneitz
- Department of Radiology, Swiss Paraplegic Centre, Nottwil, Switzerland
| | - Nicole Atcheson
- Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia
| | - Laura Barlow
- Department of Radiology, University of British Columbia, Vancouver, BC, Canada
| | - Robert L Barry
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA
- Department of Radiology, Harvard Medical School, Boston, MA, USA
- Harvard-Massachusetts Institute of Technology Health Sciences & Technology, Cambridge, MA, USA
| | - Markus Barth
- School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia
| | - Marco Battiston
- NMR Research Unit, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Christian Büchel
- Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Matthew Budde
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Virginie Callot
- Aix-Marseille Univ, CNRS, CRMBM, Marseille, France
- APHM, Hopital Universitaire Timone, CEMEREM, Marseille, France
| | - Anna J E Combes
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Benjamin De Leener
- Department of Computer and Software Engineering, Polytechnique Montreal, Montreal, Canada
- CHU Sainte-Justine Research Centre, Montreal, QC, Canada
| | - Maxime Descoteaux
- Centre de Recherche CHUS, CIMS, Sherbrooke, Canada
- Sherbrooke Connectivity Imaging Lab (SCIL), Computer Science department, Université de Sherbrooke, Sherbrooke, Canada
| | | | - Marek Dostál
- UHB - University Hospital Brno and Masaryk University, Department of Radiology and Nuclear Medicine, Brno, Czech Republic
| | - Julien Doyon
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Adam Dvorak
- Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada
| | - Falk Eippert
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Karla R Epperson
- Richard M. Lucas Center, Stanford University School of Medicine, Stanford, CA, USA
| | - Kevin S Epperson
- Richard M. Lucas Center, Stanford University School of Medicine, Stanford, CA, USA
| | - Patrick Freund
- Spinal Cord Injury Center Balgrist, University of Zurich, Zurich, Switzerland
| | - Jürgen Finsterbusch
- Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Alexandru Foias
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada
| | - Michela Fratini
- Institute of Nanotechnology, CNR, Rome, Italy
- IRCCS Santa Lucia Foundation, Rome, Italy
| | - Issei Fukunaga
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
| | - Claudia A M Gandini Wheeler-Kingshott
- NMR Research Unit, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
- Brain MRI 3T Research Centre, IRCCS Mondino Foundation, Pavia, Italy
| | - Giancarlo Germani
- Brain MRI 3T Research Centre, IRCCS Mondino Foundation, Pavia, Italy
| | | | - Federico Giove
- IRCCS Santa Lucia Foundation, Rome, Italy
- CREF - Museo storico della fisica e Centro studi e ricerche Enrico Fermi, Rome, Italy
| | - Charley Gros
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada
- Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia
| | - Francesco Grussu
- NMR Research Unit, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Radiomics Group, Vall d'Hebron Institute of Oncology, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain
| | - Akifumi Hagiwara
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
| | - Pierre-Gilles Henry
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, USA
| | - Tomáš Horák
- Multimodal and functional imaging laboratory, Central European Institute of Technology (CEITEC), Brno, Czech Republic
| | - Masaaki Hori
- Department of Radiology, Toho University Omori Medical Center, Tokyo, Japan
| | - James Joers
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, USA
| | - Kouhei Kamiya
- Department of Radiology, the University of Tokyo, Tokyo, Japan
| | - Haleh Karbasforoushan
- Interdepartmental Neuroscience Program, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, USA
| | - Miloš Keřkovský
- UHB - University Hospital Brno and Masaryk University, Department of Radiology and Nuclear Medicine, Brno, Czech Republic
| | - Ali Khatibi
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
- Centre of Precision Rehabilitation for Spinal Pain (CPR Spine), School of Sport, Exercise and Rehabilitation Sciences, College of Life and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, UK
| | - Joo-Won Kim
- BioMedical Engineering and Imaging Institute (BMEII), Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Nawal Kinany
- Institute of Bioengineering/Center for Neuroprosthetics, Ecole Polytechnique Fédérale de Lausanne, Geneva, Switzerland
- Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland
| | - Hagen H Kitzler
- Institute of Diagnostic and Interventional Neuroradiology, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany
| | - Shannon Kolind
- Department of Radiology, University of British Columbia, Vancouver, BC, Canada
- Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada
- Department Of Medicine (Neurology), University of British Columbia, Vancouver, BC, Canada
| | - Yazhuo Kong
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
- Wellcome Centre For Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Petr Kudlička
- Multimodal and functional imaging laboratory, Central European Institute of Technology (CEITEC), Brno, Czech Republic
| | - Paul Kuntke
- Institute of Diagnostic and Interventional Neuroradiology, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany
| | - Nyoman D Kurniawan
- Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia
| | - Slawomir Kusmia
- CUBRIC, Cardiff University, Wales, UK
- Centre for Medical Image Computing (CMIC), Medical Physics and Biomedical Engineering Department, University College London, London, UK
- Epilepsy Society MRI Unit, Chalfont St Peter, UK
| | - René Labounek
- Division of Clinical Behavioral Neuroscience, Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
- Departments of Neurology and Biomedical Engineering, University Hospital Olomouc, Olomouc, Czech Republic
| | | | - Cornelia Laule
- Departments of Radiology, Pathology & Laboratory Medicine, Physics & Astronomy; International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, BC, Canada
| | - Christine S Law
- Division of Pain Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Christophe Lenglet
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, USA
| | - Tobias Leutritz
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Yaou Liu
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Tiantan Image Research Center, China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Sara Llufriu
- Center of Neuroimmunology, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clinic Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) and Universitat de Barcelona, Barcelona, Spain
| | - Sean Mackey
- Division of Pain Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Eloy Martinez-Heras
- Center of Neuroimmunology, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clinic Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) and Universitat de Barcelona, Barcelona, Spain
| | - Loan Mattera
- Fondation Campus Biotech Genève, 1202, Geneva, Switzerland
| | - Igor Nestrasil
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, USA
- Division of Clinical Behavioral Neuroscience, Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
| | - Kristin P O'Grady
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Radiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Nico Papinutto
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Daniel Papp
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada
- Wellcome Centre For Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Deborah Pareto
- Neuroradiology Section, Vall d'Hebron University Hospital, Barcelona, Spain
| | - Todd B Parrish
- Interdepartmental Neuroscience Program, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Anna Pichiecchio
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
- Brain MRI 3T Research Centre, IRCCS Mondino Foundation, Pavia, Italy
| | - Ferran Prados
- NMR Research Unit, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Centre for Medical Image Computing (CMIC), Medical Physics and Biomedical Engineering Department, University College London, London, UK
- E-health Centre, Universitat Oberta de Catalunya, Barcelona, Spain
| | - Àlex Rovira
- Neuroradiology Section, Vall d'Hebron University Hospital, Barcelona, Spain
| | - Marc J Ruitenberg
- School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Rebecca S Samson
- NMR Research Unit, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Giovanni Savini
- Brain MRI 3T Research Centre, IRCCS Mondino Foundation, Pavia, Italy
| | - Maryam Seif
- Spinal Cord Injury Center Balgrist, University of Zurich, Zurich, Switzerland
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Alan C Seifert
- BioMedical Engineering and Imaging Institute (BMEII), Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alex K Smith
- Wellcome Centre For Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Seth A Smith
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Radiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Zachary A Smith
- University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Elisabeth Solana
- Center of Neuroimmunology, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clinic Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) and Universitat de Barcelona, Barcelona, Spain
| | - Y Suzuki
- Department of Radiology, the University of Tokyo, Tokyo, Japan
| | | | - Alexandra Tinnermann
- Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jan Valošek
- Department of Neurology, Faculty of Medicine and Dentistry, Palacký University and University Hospital Olomouc, Olomouc, Czech Republic
| | - Dimitri Van De Ville
- Institute of Bioengineering/Center for Neuroprosthetics, Ecole Polytechnique Fédérale de Lausanne, Geneva, Switzerland
- Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland
| | - Marios C Yiannakas
- NMR Research Unit, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Kenneth A Weber Ii
- Division of Pain Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Nikolaus Weiskopf
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Felix Bloch Institute for Solid State Physics, Faculty of Physics and Earth Sciences, Leipzig University, Leipzig, Germany
| | - Richard G Wise
- CUBRIC, Cardiff University, Wales, UK
- Institute for Advanced Biomedical Technologies, Department of Neuroscience, Imaging and Clinical Sciences, "G. D'Annunzio University" of Chieti-Pescara, Chieti-Pescara, Italy
| | - Patrik O Wyss
- Department of Radiology, Swiss Paraplegic Centre, Nottwil, Switzerland
| | - Junqian Xu
- BioMedical Engineering and Imaging Institute (BMEII), Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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25
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Vavasour IM, Chang KL, Combes AJE, Meyers SM, Kolind SH, Rauscher A, Li DKB, Traboulsee A, MacKay AL, Laule C. Water content changes in new multiple sclerosis lesions have a minimal effect on the determination of myelin water fraction values. J Neuroimaging 2021; 31:1119-1125. [PMID: 34310789 DOI: 10.1111/jon.12908] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 07/07/2021] [Accepted: 07/07/2021] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND AND PURPOSE Myelin water fraction (MWF) is a histopathologically validated in vivo myelin marker. As MWF is the proportion of water with a short T2 relative to the total water, increases in water from edema and inflammation may confound MWF determination in multiple sclerosis (MS) lesions. Total water content (TWC) measurement enables calculation of absolute myelin water content (MWC) and can be used to distinguish edema/inflammation from demyelination. We assessed what influence changes in total water might have on MWF by calculating MWC values in new MS lesions. METHODS 3T 32-echo T2 relaxation data were collected monthly for 6 months from six relapsing-remitting MS participants. TWC was determined and multiplied with MWF images to calculate corrected MWC images. The effect of this water content correction was examined in 20 new lesions by comparing mean MWF and MWC over time. RESULTS On average, at lesion first appearance, lesion TWC increased by 6.4% (p = .003; range: -1% to +21%), MWF decreased by 24% (p = .006; range: -70% to +12%), and MWC decreased by 20% (p = .026; range: -68% to +21%), relative to prelesion values. Average TWC in lesions then gradually decreased, whereas MWF and MWC remained low. The shape of the MWF and MWC lesion evolution curves was nearly identical, differing only by an offset. CONCLUSION MWF mirrors MWC and is able to monitor myelin in new lesions. Even after taking into account water content increases, MWC still decreased at lesion first appearance attributed to demyelination.
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Affiliation(s)
- Irene M Vavasour
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada.,International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, British Columbia, Canada
| | - Kimberley L Chang
- Department of Medicine, Division of Neurology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Anna J E Combes
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Sandra M Meyers
- Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Radiation Medicine and Applied Sciences, University of California, San Diego, California, USA
| | - Shannon H Kolind
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada.,International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, British Columbia, Canada.,Department of Medicine, Division of Neurology, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada
| | - Alexander Rauscher
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada
| | - David K B Li
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Medicine, Division of Neurology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Anthony Traboulsee
- Department of Medicine, Division of Neurology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Alex L MacKay
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada
| | - Cornelia Laule
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada.,International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, British Columbia, Canada.,Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
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26
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Power JD, Glennie A, Rogers S, Aziz M, Singh S, Dandurand C, Tauh S, Richard-Denis A, Morris S, Richard-Denis A, Lim V, Mputu PM, Soroceanu A, Sadiq I, Daly C, Dandurand C, Larouche J, Correale M, Sharma A, Charest-Morin R, Lee J, Ajoku U, Moskven E, Asif H, Al-attar ENM, Mishreky A, Rocos B, Rocos B, Rocos B, Srivastava SK, Patgaonkar P, Cummins D, Bednar D, Chan V, Bowker R, Evaniew N, Hathi K, Hall H, Ludwig T, Ludwig T, Truong VT, Passalent L, Wang S, Shaikh N, Pelletier-Roy R, Shen J, Wang Z, Singh S, Machida M, Machida M, Fernandes R, Fernandes R, Marathe N, Kerr J, Magnan MC, Visva S, Jarvis J, Jarvis J, Jentzsch T, Cherry A, Cherry A, Cherry A, Dandurand C, Rampersaud R, Sundararajan K, Levasseur A, Fernandes R, Fernandes R, Fullerton K, Malone H, Daly C, Peloza J, Peloza J, Walden K, Elsemin O, MacLean MA, Rose J, Oppermann M, Ferguson D, Hindi M, Dermott JA, DeVries Z, Lebel D, Ayling O, Singh V, Craig M, Lasswell T, Perruccio AV, Canizares M, McIntosh G, Rampersaud YR, Urquhart J, Koto P, Rasoulinejad P, Sequeira K, Miller T, Watson J, Rosedale R, Gurr K, Siddiqi F, Bailey C, Manson N, Bigney E, Vandewint A, Richardson E, El-Mughayyar D, McPhee R, Abraham E, Weber M, McIntosh G, Kelly A, Santaguida C, Ouellet J, Reindl R, Jarzem P, Lasry O, Dea N, Fisher C, Street J, Boyd M, Charest-Morin R, Rhines L, Boriani S, Charest-Morin R, Gokaslan Z, Gasbarrini A, Saghal A, Laufer II, Lazary A, Bettegowda C, Kawahara N, Clarke M, Rampersaud YR, Reynolds J, Disch A, Chou D, Shin JH, Wei F, Hornicek FJ, Barzilai O, Fisher C, Dea N, Nickel D, Thorpe L, Brown J, Weiler R, Linassi G, Fourney D, Dionne A, Bégin J, Mac-Thiong JM, Yung A, George S, Prevost V, Bauman A, Kozlowski P, Samadi F, Fournier C, Parker L, Dong K, Streijger F, Moore GW, Laule C, Kwon B, Gravel LF, Dionne A, Bourassa-Moreau E, Maurais G, Khoueir P, Mac-Thiong JM, Richard-Denis A, Dionne A, Bourassa-Moreau É, Bégin J, Mac-Thiong JM, Beausejour M, Richard-Denis A, Begin J, Dionne A, Mac-Thiong JM, Scheer J, Protopsaltis T, Gupta M, Passias P, Gum J, Smith J, Bess S, Lafage V, Ames C, Klineberg E, Frederick A, Nicholls F, Lewkonia P, Thomas K, Jacobs B, Swamy G, Miller N, Tanguay R, Soroceanu A, Nevin J, Bourassa-Moreau E, Dvorak M, Fisher C, Paquette S, Kwon B, Dea N, Ailon T, Charest-Morin R, Street J, Hindi M, Kwon B, Dvorak M, Ailon T, Paquette S, Fisher C, Charest-Morin R, Dea N, Street J, Finkelstein J, Bowes J, Ford M, Yee A, Soever L, Rachevitz M, Bigness A, Robertson S, Wilson R, Wong W, Nugent J, Frantzeskos S, Duffy M, Rampersaud R, Marathe N, Agarwal R, Bailey CS, Paquet J, Dea N, Goytan M, McIntosh G, Street J, Fisher C, Jacobs B, Johnson M, Paquet J, Hall H, Bailey C, Christie S, Nataraj A, Manson N, Phan P, Rampersaud R, Thomas K, McIntosh G, Abraham E, Glennie A, Jarzem P, Ahn H, Blanchard J, Hogan G, Kelly A, Charest-Morin R, Tohidi M, Hopman W, Yen D, Parent S, Miyanji F, Murphy J, El-Hawary R, Lebel D, Zeller R, Reda L, Dodds M, Lebel D, Zeller R, Zeller R, Marathe N, Bhosale S, Raj A, Marathe N, Goyal V, Theologis A, Witiw C, Fehlings M, Morash K, Yaszay B, Andras L, Sturm P, Sponseller P, El-Hawary R, Swamy G, Jacobs WB, Bouchard J, Cho R, Manson NA, Rampersaud YR, Paquet J, Bailey CS, Johnson M, Attabib N, Fisher CG, McIntosh G, Thomas KC, Bigney E, Richardson E, Alugo T, El-Mughayyar D, Vandewint A, Manson N, Abraham E, Attabib N, Prostko R, Cheng B, Haring K, Fischer M, Bourget-Murray J, Sridharan S, Frederick A, Johnston K, Edwards B, Nicholls F, Soroceanu A, Bouchard J, Shedid D, Al-Shakfa F, Shen J, Boubez G, Yuh SJ, Wang Z, Sundararajan K, Perruccio A, Coyte P, Bombardier C, Bloom J, Hawke C, Haroon N, Inman R, Rampersaud YR, Hebert J, Abraham E, Vandewint A, Bigney E, Richardson E, El-Mughayyar D, Attabib N, Small C, Manson N, Zhang H, Beresford-Cleary N, Street J, Wilson D, Oxland T, Richard-Denis A, Jean S, Bourassa-Moreau É, Fleury J, Beauchamp-Vien G, Bégin J, Mac-Thiong JM, Boudier-Revéret M, Majdalani C, Truong VT, Wang Z, Shedid D, Najjar A, Yuh SJ, Boubez G, Sebaaly A, McIntosh G, Ailon T, Dea N, Fisher C, Charest-Morin R, Lebel D, Rocos B, Zabjek K, Zeller R, Zabjek K, Rocos B, Lebel D, Zeller R, Gee A, Schneider N, Kanawati A, Schemitsch E, Bailey C, Rasoulinejad P, Zdero R, Schneider N, Gee A, Kanawati A, Zdero R, Bailey C, Rasoulinejad P, Lohkamp LN, Fehlings M, Abraham E, Vandewint A, Bigney E, Hebert J, Richardson E, El-Mughayyar D, Chorney J, El-Hawary R, Manson N, Wai E, Phan P, Kingwell S, Tierney S, Stratton A, AlDuwaisan A, Moravek D, Wai E, Kingwell S, Stratton A, Phan P, Devries Z, Barrowman N, Smit K, Tice A, Devries Z, Barrowman N, Smit K, Tice A, Sundararajan K, Rampersaud YR, Oitment C, Wunder J, Ferguson P, Rampersaud R, Rampersaud R, Rampersaud R, Ailon T, Dvorak M, Kwon B, Paquette S, Charest-Morin R, Dea N, Fisher C, Street J, Bailey C, Casha S, Glennie A, Fox R, McIntosh G, Yee A, Fisher C, Perruccio A, Perruccio A, Rampersaud YR, Mac-Thiong JM, Richard-Denis A, Gee A, Kanawati A, Rasoulinejad P, Zdero R, Bailey C, Gee A, Kanawati A, Rasoulinejad P, Zdero R, Bailey C, Klein G, Emmenegger U, Finkelstein J, Lyons F, Whyne C, Hardisty M, Millgram M, Guyer R, Harel R, Ashkenazi E, Dvorak M, Fisher C, Paquette S, Street J, Dea N, Ailon T, Charest-Morin R, Kwon B, Millgram M, Guyer R, Le Huec JC, Ashkenazi E, Millgram M, Guyer R, Harel R, Kutz S, Ashkenazi E, Parsons J, Bailey CS, Dhaliwal P, Fourney DR, Noonan V, Mac-Thiong JM, Beausejour M, Sassine S, Joncas J, Barchi S, Le May S, Cobetto N, Fortin C, Carl-Éric A, Parent S, Labelle H, Bailey C, Fisher C, Rampersaud R, Glennie A, Manson N, Bigney E, Vandewint A, Hebert J, El-Mughayyar D, Richardson E, Ghallab N, Flood M, Attabib N, Abraham E, Swamy G, Nicholls F, Thomas K, Jacobs WB, Soroceanu A, Evaniew N, Stevens M, Dunning C, Oxner W, Glennie A, Dandurand C, Paquette S, Kwon B, Ailon T, Dvorak M, Dea N, Charest-Morin R, Fisher C, Street J, Kim D, Lebel DE, Jarvis J, Tice A, Smit K, Campbell F, Mashida M, Isaac L, Bath N, Stocki D, Levin D, Koyle M, Ruskin D, Stinson J, Ailon T, Dea N, Fisher C, Evaniew N, Soroceanu A, Nicholls F, Jacobs WB, Thomas K, Cho R, Lewkonia P, Swamy G, Lasry O, Ailon T, Zamani N, Rampersaud R, Rasoulinejad P. 2021 Canadian Spine Society Abstracts. Can J Surg 2021; 64:S1-S36. [PMID: 34296831 PMCID: PMC8410468 DOI: 10.1503/cjs.012621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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Vavasour IM, Sun P, Graf C, Yik JT, Kolind SH, Li DK, Tam R, Sayao AL, Schabas A, Devonshire V, Carruthers R, Traboulsee A, Moore GW, Song SK, Laule C. Characterization of multiple sclerosis neuroinflammation and neurodegeneration with relaxation and diffusion basis spectrum imaging. Mult Scler 2021; 28:418-428. [PMID: 34132126 DOI: 10.1177/13524585211023345] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
BACKGROUND Advanced magnetic resonance imaging (MRI) methods can provide more specific information about various microstructural tissue changes in multiple sclerosis (MS) brain. Quantitative measurement of T1 and T2 relaxation, and diffusion basis spectrum imaging (DBSI) yield metrics related to the pathology of neuroinflammation and neurodegeneration that occurs across the spectrum of MS. OBJECTIVE To use relaxation and DBSI MRI metrics to describe measures of neuroinflammation, myelin and axons in different MS subtypes. METHODS 103 participants (20 clinically isolated syndrome (CIS), 33 relapsing-remitting MS (RRMS), 30 secondary progressive MS and 20 primary progressive MS) underwent quantitative T1, T2, DBSI and conventional 3T MRI. Whole brain, normal-appearing white matter, lesion and corpus callosum MRI metrics were compared across MS subtypes. RESULTS A gradation of MRI metric values was seen from CIS to RRMS to progressive MS. RRMS demonstrated large oedema-related differences, while progressive MS had the most extensive abnormalities in myelin and axonal measures. CONCLUSION Relaxation and DBSI-derived MRI measures show differences between MS subtypes related to the severity and composition of underlying tissue damage. RRMS showed oedema, demyelination and axonal loss compared with CIS. Progressive MS had even more evidence of increased oedema, demyelination and axonal loss compared with CIS and RRMS.
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Affiliation(s)
- Irene M Vavasour
- Department of Radiology, The University of British Columbia, UBC Hospital, Vancouver, BC, Canada/International Collaboration on Repair Discoveries (ICORD), The University of British Columbia, Vancouver, BC, Canada
| | - Peng Sun
- Department of Radiology, Washington University, St. Louis, MO, USA
| | - Carina Graf
- Department of Physics & Astronomy, The University of British Columbia, Vancouver, BC, Canada
| | - Jackie T Yik
- Department of Physics & Astronomy, The University of British Columbia, Vancouver, BC, Canada
| | - Shannon H Kolind
- Department of Radiology, The University of British Columbia, Vancouver, BC, Canada/International Collaboration on Repair Discoveries (ICORD), The University of British Columbia, Vancouver, BC, Canada/Department of Physics & Astronomy, The University of British Columbia, Vancouver, BC, Canada/Department of Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - David Kb Li
- Department of Radiology, The University of British Columbia, Vancouver, BC, Canada/Department of Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Roger Tam
- Department of Radiology, The University of British Columbia, Vancouver, BC, Canada/School of Biomedical Engineering, The University of British Columbia, Vancouver, BC, Canada
| | - Ana-Luiza Sayao
- Department of Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Alice Schabas
- Department of Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Virginia Devonshire
- Department of Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Robert Carruthers
- Department of Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Anthony Traboulsee
- Department of Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Gr Wayne Moore
- Department of Medicine, The University of British Columbia, Vancouver, BC, Canada/Department of Pathology and Laboratory Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Sheng-Kwei Song
- Department of Radiology, Washington University, St. Louis, MO, USA
| | - Cornelia Laule
- Department of Radiology, The University of British Columbia, Vancouver, BC, Canada/International Collaboration on Repair Discoveries (ICORD), The University of British Columbia, Vancouver, BC, Canada/Department of Physics & Astronomy, The University of British Columbia, Vancouver, BC, Canada/Department of Pathology and Laboratory Medicine, The University of British Columbia, Vancouver, BC, Canada
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Holmes RD, Vavasour IM, Greenfield J, Zhao G, Lee JS, Moore GRW, Tam R, Metz LM, Trablousee A, Li DKB, Laule C. Nonlesional diffusely abnormal appearing white matter in clinically isolated syndrome: Prevalence, association with clinical and MRI features, and risk for conversion to multiple sclerosis. J Neuroimaging 2021; 31:981-994. [PMID: 34128576 DOI: 10.1111/jon.12900] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 05/26/2021] [Accepted: 05/28/2021] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND AND PURPOSE While diffusely abnormal white matter (DAWM) is a nonlesional MRI abnormality identified in ∼25% of patients with multiple sclerosis (MS), it has yet to be investigated in patients at an earlier disease stage, namely clinically isolated syndrome (CIS). The goals of this study were to (1) determine the prevalence of DAWM in patients with a CIS suggestive of MS, (2) evaluate the association between DAWM and demographic, clinical, and MRI features, and (3) evaluate the prognostic significance of DAWM on conversion from CIS to MS. METHODS One hundred and forty-two CIS participants were categorized into DAWM and non-DAWM groups at baseline and followed for up to 24 months or until MS diagnosis. The primary outcome was conversion to MS (2005 McDonald criteria) within 6 months. RESULTS DAWM was present in 27.5% of participants, and was positively associated with brainstem symptom onset, receiving corticosteroids, dissemination in space, and T2 lesion volume. DAWM was associated with an increased risk of conversion to MS over 6 months after adjustment for age and disability (hazard ratio [HR] = 2.24, p = 0.004). This association remained at a trend-level after adjustment for high-risk imaging features (HR = 1.68, p = 0.10). CONCLUSIONS DAWM is present in a similar proportion of patients with CIS and clinically definite MS, and it is associated with increased risk of conversion to MS over 6 months.
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Affiliation(s)
- R Davis Holmes
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Irene M Vavasour
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Jamie Greenfield
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Guojun Zhao
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada.,UBC MS/MRI Research Group, University of British Columbia, Vancouver, British Columbia, Canada
| | - Jimmy S Lee
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - G R Wayne Moore
- Department of Pathology & Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada.,International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, British Columbia, Canada
| | - Roger Tam
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada.,UBC MS/MRI Research Group, University of British Columbia, Vancouver, British Columbia, Canada.,School of Biomedical Engineering, University of British Columbia, Vancouver, British Columbia, Canada
| | - Luanne M Metz
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Anthony Trablousee
- UBC MS/MRI Research Group, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - David K B Li
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada.,UBC MS/MRI Research Group, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - Cornelia Laule
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Pathology & Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada.,International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, British Columbia, Canada.,Department of Physics & Astronomy, University of British Columbia, Vancouver, British Columbia, Canada
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Prevost VH, Yung A, Morris SR, Vavasour IM, Samadi-Bahrami Z, Moore GRW, Laule C, Mackay A, Kozlowski P. Temperature dependence and histological correlation of inhomogeneous magnetization transfer and myelin water imaging in ex vivo brain. Neuroimage 2021; 236:118046. [PMID: 33848620 DOI: 10.1016/j.neuroimage.2021.118046] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 04/02/2021] [Accepted: 04/02/2021] [Indexed: 11/26/2022] Open
Abstract
PURPOSE The promise of inhomogeneous magnetization transfer (ihMT) as a new myelin imaging method was studied in ex vivo human brain tissue and in relation to myelin water fraction (MWF). The temperature dependence of both methods was characterized, as well as their correspondence with a histological measure of myelin content. Unfiltered and filtered ihMT protocols were studied by adjusting the saturation scheme to preserve or attenuate signal from tissue with short dipolar relaxation time T1D. METHODS ihMT ratio (ihMTR) and MWF maps were acquired at 7 T from formalin-fixed human brain samples at 22.5 °C, 30 °C and 37 °C. The impact of temperature on unfiltered ihMTR, filtered ihMTR and MWF was investigated and compared to myelin basic protein staining. RESULTS Unfiltered ihMTR exhibited no temperature dependence, whereas filtered ihMTR increased with increasing temperature. MWF decreased at higher temperature, with an increasing prevalence of areas where the myelin water signal was unreliably determined, likely related to a reduction in T2 peak separability at higher temperatures ex vivo. MWF and ihMTR showed similar per-sample correlation with myelin staining at room temperature. At 37 °C, filtered ihMTR was more strongly correlated with myelin staining and had increased dynamic range compared to unfiltered ihMTR. CONCLUSIONS Given the temperature dependence of filtered ihMT, increased dynamic range, and strong myelin specificity that persists at higher temperatures, we recommend carefully controlled temperatures close to 37 °C for filtered ihMT acquisitions. Unfiltered ihMT may also be useful, due to its independence from temperature, higher amplitude values, and sensitivity to short T1D components. Ex vivo myelin water imaging should be performed at room temperature, to avoid fitting issues found at higher temperatures.
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Affiliation(s)
- Valentin H Prevost
- University of British Columbia MRI Research Centre, 2221 Wesbrook Mall, M10 Purdy Pavilion, Vancouver, BC V6T 2B5, Canada.
| | - Andrew Yung
- University of British Columbia MRI Research Centre, 2221 Wesbrook Mall, M10 Purdy Pavilion, Vancouver, BC V6T 2B5, Canada.
| | - Sarah R Morris
- Physics and Astronomy, University of British Columbia, 6224 Agricultural Road, Vancouver, BC V6T 1Z1, Canada; Radiology, University of British Columbia, 2775 Laurel Street, 11th Floor, Vancouver, BC V5Z 1M9, Canada; ICORD (International Collaboration on Repair Discoveries), 818 W. 10th Ave., Vancouver, BC V5Z 1M9, Canada.
| | - Irene M Vavasour
- Physics and Astronomy, University of British Columbia, 6224 Agricultural Road, Vancouver, BC V6T 1Z1, Canada.
| | - Zahra Samadi-Bahrami
- Pathology & Laboratory Medicine, University of British Columbia, G105-2211 Wesbrook Mall, Vancouver, BC V6T 2B5, Canada.
| | - G R Wayne Moore
- Pathology & Laboratory Medicine, University of British Columbia, G105-2211 Wesbrook Mall, Vancouver, BC V6T 2B5, Canada.
| | - Cornelia Laule
- Radiology, University of British Columbia, 2775 Laurel Street, 11th Floor, Vancouver, BC V5Z 1M9, Canada; Pathology & Laboratory Medicine, University of British Columbia, G105-2211 Wesbrook Mall, Vancouver, BC V6T 2B5, Canada; Physics and Astronomy, University of British Columbia, 6224 Agricultural Road, Vancouver, BC V6T 1Z1, Canada; ICORD (International Collaboration on Repair Discoveries), 818 W. 10th Ave., Vancouver, BC V5Z 1M9, Canada.
| | - Alex Mackay
- University of British Columbia MRI Research Centre, 2221 Wesbrook Mall, M10 Purdy Pavilion, Vancouver, BC V6T 2B5, Canada; Physics and Astronomy, University of British Columbia, 6224 Agricultural Road, Vancouver, BC V6T 1Z1, Canada; Radiology, University of British Columbia, 2775 Laurel Street, 11th Floor, Vancouver, BC V5Z 1M9, Canada.
| | - Piotr Kozlowski
- University of British Columbia MRI Research Centre, 2221 Wesbrook Mall, M10 Purdy Pavilion, Vancouver, BC V6T 2B5, Canada; Radiology, University of British Columbia, 2775 Laurel Street, 11th Floor, Vancouver, BC V5Z 1M9, Canada; ICORD (International Collaboration on Repair Discoveries), 818 W. 10th Ave., Vancouver, BC V5Z 1M9, Canada.
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Lee LE, Vavasour IM, Dvorak A, Liu H, Abel S, Johnson P, Ristow S, Au S, Laule C, Tam R, Li DK, Cross H, Ackermans N, Schabas AJ, Chan J, Sayao AL, Devonshire V, Carruthers R, Traboulsee A, Kolind S. Cervical cord myelin abnormality is associated with clinical disability in multiple sclerosis. Mult Scler 2021; 27:2191-2198. [PMID: 33749378 PMCID: PMC8597183 DOI: 10.1177/13524585211001780] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Myelin water imaging (MWI) was recently optimized to provide quantitative in vivo measurement of spinal cord myelin, which is critically involved in multiple sclerosis (MS) disability. OBJECTIVE To assess cervical cord myelin measurements in relapsing-remitting multiple sclerosis (RRMS) and progressive multiple sclerosis (ProgMS) participants and evaluate the correlation between myelin measures and clinical disability. METHODS We used MWI data from 35 RRMS, 30 ProgMS, and 28 healthy control (HC) participants collected at cord level C2/C3 on a 3 T magnetic resonance imaging (MRI) scanner. Myelin heterogeneity index (MHI), a measurement of myelin variability, was calculated for whole cervical cord, global white matter, dorsal column, lateral and ventral funiculi. Correlations were assessed between MHI and Expanded Disability Status Scale (EDSS), 9-Hole Peg Test (9HPT), timed 25-foot walk, and disease duration. RESULTS In various regions of the cervical cord, ProgMS MHI was higher compared to HC (between 9.5% and 31%, p ⩽ 0.04) and RRMS (between 13% and 26%, p ⩽ 0.02), and ProgMS MHI was associated with EDSS (r = 0.42-0.52) and 9HPT (r = 0.45-0.52). CONCLUSION Myelin abnormalities within clinically eloquent areas are related to clinical disability. MWI metrics have a potential role for monitoring subclinical disease progression and adjudicating treatment efficacy for new therapies targeting ProgMS.
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Affiliation(s)
- Lisa Eunyoung Lee
- Division of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Irene M Vavasour
- Department of Radiology, The University of British Columbia, Vancouver, BC, Canada
| | - Adam Dvorak
- Department of Physics and Astronomy, The University of British Columbia, Vancouver, BC, Canada; International Collaboration on Repair and Discoveries, Vancouver, BC, Canada
| | - Hanwen Liu
- Department of Physics and Astronomy, The University of British Columbia, Vancouver, BC, Canada; International Collaboration on Repair and Discoveries, Vancouver, BC, Canada
| | - Shawna Abel
- Division of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Poljanka Johnson
- Division of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Stephen Ristow
- Division of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Shelly Au
- Division of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Cornelia Laule
- Department of Radiology, The University of British Columbia, Vancouver, BC, Canada; Department of Physics and Astronomy, The University of British Columbia, Vancouver, BC, Canada; International Collaboration on Repair and Discoveries, Vancouver, BC, Canada; Department of Pathology and Laboratory Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Roger Tam
- Department of Radiology, The University of British Columbia, Vancouver, BC, Canada
| | - David Kb Li
- Division of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada/Department of Radiology, The University of British Columbia, Vancouver, BC, Canada
| | - Helen Cross
- Division of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Nathalie Ackermans
- Division of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Alice J Schabas
- Division of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Jillian Chan
- Division of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Ana-Luiza Sayao
- Division of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Virginia Devonshire
- Division of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Robert Carruthers
- Division of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Anthony Traboulsee
- Division of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Shannon Kolind
- Division of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada; Department of Radiology, The University of British Columbia, Vancouver, BC, Canada/Department of Physics and Astronomy, The University of British Columbia, Vancouver, BC, Canada; International Collaboration on Repair and Discoveries, Vancouver, BC, Canada
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Dao E, Tam R, Hsiung GYR, Ten Brinke L, Crockett R, Barha CK, Yoo Y, Al Keridy W, Doherty SH, Laule C, MacKay AL, Liu-Ambrose T. Exploring the Contribution of Myelin Content in Normal Appearing White Matter to Cognitive Outcomes in Cerebral Small Vessel Disease. J Alzheimers Dis 2021; 80:91-101. [PMID: 33523006 DOI: 10.3233/jad-201134] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Myelin damage is a salient feature in cerebral small vessel disease (cSVD). Of note, myelin damage extends into the normal appearing white matter (NAWM). Currently, the specific role of myelin content in cognition is poorly understood. OBJECTIVE The objective of this exploratory study was to investigate the association between NAWM myelin and cognitive function in older adults with cSVD. METHODS This exploratory study included 55 participants with cSVD. NAWM myelin was measured using myelin water imaging and was quantified as myelin water fraction (MWF). Assessment of cognitive function included processing speed (Trail Making Test Part A), set shifting (Trail Making Test Part B minus A), working memory (Verbal Digit Span Backwards Test), and inhibition (Stroop Test). Multiple linear regression analyses assessed the contribution of NAWM MWF on cognitive outcomes controlling for age, education, and total white matter hyperintensity volume. The overall alpha was set at ≤0.05. RESULTS After accounting for age, education, and total white matter hyperintensity volume, lower NAWM MWF was significantly associated with slower processing speed (β = -0.29, p = 0.037) and poorer working memory (β= 0.30, p = 0.048). NAWM MWF was not significantly associated with set shifting or inhibitory control (p > 0.132). CONCLUSION Myelin loss in NAWM may play a role in the evolution of impaired processing speed and working memory in people with cSVD. Future studies, with a longitudinal design and larger sample sizes, are needed to fully elucidate the role of myelin as a potential biomarker for cognitive function.
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Affiliation(s)
- Elizabeth Dao
- Department of Physical Therapy, University of British Columbia (UBC), Vancouver, Canada.,Djavad Mowafaghian Centre for Brain Health, UBC, Vancouver, Canada.,Centre for Hip Health and Mobility, Vancouver Coastal Health Research Institute, Vancouver, Canada
| | - Roger Tam
- Djavad Mowafaghian Centre for Brain Health, UBC, Vancouver, Canada.,Department of Radiology, UBC, Vancouver, Canada.,School of Biomedical Engineering, UBC, Vancouver, Canada
| | - Ging-Yuek R Hsiung
- Djavad Mowafaghian Centre for Brain Health, UBC, Vancouver, Canada.,Division of Neurology, UBC Hospital, Vancouver, Canada
| | - Lisanne Ten Brinke
- Department of Physical Therapy, University of British Columbia (UBC), Vancouver, Canada.,Djavad Mowafaghian Centre for Brain Health, UBC, Vancouver, Canada.,Centre for Hip Health and Mobility, Vancouver Coastal Health Research Institute, Vancouver, Canada
| | - Rachel Crockett
- Department of Physical Therapy, University of British Columbia (UBC), Vancouver, Canada.,Djavad Mowafaghian Centre for Brain Health, UBC, Vancouver, Canada.,Centre for Hip Health and Mobility, Vancouver Coastal Health Research Institute, Vancouver, Canada
| | - Cindy K Barha
- Department of Physical Therapy, University of British Columbia (UBC), Vancouver, Canada.,Djavad Mowafaghian Centre for Brain Health, UBC, Vancouver, Canada.,Centre for Hip Health and Mobility, Vancouver Coastal Health Research Institute, Vancouver, Canada
| | | | - Walid Al Keridy
- Djavad Mowafaghian Centre for Brain Health, UBC, Vancouver, Canada.,Division of Neurology, UBC Hospital, Vancouver, Canada.,Department of Medicine, King Saud University, College of Medicine, Riyadh, Saudi Arabia
| | - Stephanie H Doherty
- Department of Physical Therapy, University of British Columbia (UBC), Vancouver, Canada.,Djavad Mowafaghian Centre for Brain Health, UBC, Vancouver, Canada.,Centre for Hip Health and Mobility, Vancouver Coastal Health Research Institute, Vancouver, Canada
| | - Cornelia Laule
- Department of Radiology, UBC, Vancouver, Canada.,Department of Pathology and Laboratory Medicine, UBC, Vancouver, Canada.,Department of Physics and Astronomy, UBC, Vancouver, Canada.,International Collaboration on Repair Discoveries, Vancouver, Canada
| | - Alex L MacKay
- Department of Radiology, UBC, Vancouver, Canada.,UBC MRI Research Centre, UBC, Vancouver, Canada
| | - Teresa Liu-Ambrose
- Department of Physical Therapy, University of British Columbia (UBC), Vancouver, Canada.,Djavad Mowafaghian Centre for Brain Health, UBC, Vancouver, Canada.,Centre for Hip Health and Mobility, Vancouver Coastal Health Research Institute, Vancouver, Canada
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32
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Bagnato F, Gauthier SA, Laule C, Moore GRW, Bove R, Cai Z, Cohen-Adad J, Harrison DM, Klawiter EC, Morrow SA, Öz G, Rooney WD, Smith SA, Calabresi PA, Henry RG, Oh J, Ontaneda D, Pelletier D, Reich DS, Shinohara RT, Sicotte NL. Imaging Mechanisms of Disease Progression in Multiple Sclerosis: Beyond Brain Atrophy. J Neuroimaging 2021; 30:251-266. [PMID: 32418324 DOI: 10.1111/jon.12700] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Revised: 02/04/2020] [Accepted: 02/18/2020] [Indexed: 12/11/2022] Open
Abstract
Clinicians involved with different aspects of the care of persons with multiple sclerosis (MS) and scientists with expertise on clinical and imaging techniques convened in Dallas, TX, USA on February 27, 2019 at a North American Imaging in Multiple Sclerosis Cooperative workshop meeting. The aim of the workshop was to discuss cardinal pathobiological mechanisms implicated in the progression of MS and novel imaging techniques, beyond brain atrophy, to unravel these pathologies. Indeed, although brain volume assessment demonstrates changes linked to disease progression, identifying the biological mechanisms leading up to that volume loss are key for understanding disease mechanisms. To this end, the workshop focused on the application of advanced magnetic resonance imaging (MRI) and positron emission tomography (PET) imaging techniques to assess and measure disease progression in both the brain and the spinal cord. Clinical translation of quantitative MRI was recognized as of vital importance, although the need to maintain a relatively short acquisition time mandated by most radiology departments remains the major obstacle toward this effort. Regarding PET, the panel agreed upon its utility to identify ongoing pathological processes. However, due to costs, required expertise, and the use of ionizing radiation, PET was not considered to be a viable option for ongoing care of persons with MS. Collaborative efforts fostering robust study designs and imaging technique standardization across scanners and centers are needed to unravel disease mechanisms leading to progression and discovering medications halting neurodegeneration and/or promoting repair.
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Affiliation(s)
- Francesca Bagnato
- Neuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN
| | - Susan A Gauthier
- Judith Jaffe Multiple Sclerosis Center, Department of Neurology, Feil Family Brain and Mind Institute, and Department of Radiology, Weill Cornell Medicine, New York, NY
| | - Cornelia Laule
- Department of Radiology, Pathology, and Laboratory Medicine, Department of Physics and Astronomy, and International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, British Columbia, Canada
| | - George R Wayne Moore
- Department of Pathology and Laboratory Medicine, and International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, British Columbia, Canada
| | - Riley Bove
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA
| | - Zhengxin Cai
- Department of Radiology and Biomedical Imaging, PET Center, Yale University, New Haven, CT
| | - Julien Cohen-Adad
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal and Functional Neuroimaging Unit, CRIUGM, University of Montreal, Montreal, Quebec, Canada
| | - Daniel M Harrison
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD
| | - Eric C Klawiter
- Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Sarah A Morrow
- Department of Clinical Neurological Sciences, University of Western Ontario, London, Ontario, Canada
| | - Gülin Öz
- Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN
| | - William D Rooney
- Advanced Imaging Research Center, Departments of Biomedical Engineering, Neurology, and Behavioral Neuroscience, Oregon Health & Science University, Portland, OR
| | - Seth A Smith
- Radiology and Radiological Sciences and Vanderbilt University Imaging Institute, Vanderbilt University Medical Center, and Biomedical Engineering, Vanderbilt University, Nashville, TN
| | - Peter A Calabresi
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Roland G Henry
- Departments of Neurology, Radiology and Biomedical Imaging, and the UC San Francisco & Berkeley Bioengineering Graduate Group, University of California San Francisco, San Francisco, CA
| | - Jiwon Oh
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD.,Division of Neurology, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Daniel Ontaneda
- Mellen Center for Multiple Sclerosis, Neurological Institute, Cleveland Clinic, Cleveland, OH
| | - Daniel Pelletier
- Department of Neurology, University of Southern California Keck School of Medicine, Los Angeles, CA
| | - Daniel S Reich
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD
| | - Russell T Shinohara
- Department of Biostatistics, Epidemiology, and Informatics, Penn Statistics in Imaging and Visualization Center, University of Pennsylvania, Philadelphia, PA
| | - Nancy L Sicotte
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA
| | -
- Neuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN
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33
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Dvorak AV, Swift-LaPointe T, Vavasour IM, Lee LE, Abel S, Russell-Schulz B, Graf C, Wurl A, Liu H, Laule C, Li DKB, Traboulsee A, Tam R, Boyd LA, MacKay AL, Kolind SH. An atlas for human brain myelin content throughout the adult life span. Sci Rep 2021; 11:269. [PMID: 33431990 PMCID: PMC7801525 DOI: 10.1038/s41598-020-79540-3] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 12/09/2020] [Indexed: 12/11/2022] Open
Abstract
Myelin water imaging is a quantitative neuroimaging technique that provides the myelin water fraction (MWF), a metric highly specific to myelin content, and the intra-/extra-cellular T2 (IET2), which is related to water and iron content. We coupled high-resolution data from 100 adults with gold-standard methodology to create an optimized anatomical brain template and accompanying MWF and IET2 atlases. We then used the MWF atlas to characterize how myelin content relates to demographic factors. In most brain regions, myelin content followed a quadratic pattern of increase during the third decade of life, plateau at a maximum around the fifth decade, then decrease during later decades. The ranking of mean myelin content between brain regions remained consistent across age groups. These openly available normative atlases can facilitate evaluation of myelin imaging results on an individual basis and elucidate the distribution of myelin content between brain regions and in the context of aging.
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Affiliation(s)
- Adam V Dvorak
- Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada. .,International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, BC, Canada.
| | | | - Irene M Vavasour
- Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada.,Radiology, University of British Columbia, Vancouver, BC, Canada
| | - Lisa Eunyoung Lee
- Medicine (Neurology), University of British Columbia, Vancouver, BC, Canada
| | - Shawna Abel
- Medicine (Neurology), University of British Columbia, Vancouver, BC, Canada
| | | | - Carina Graf
- Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada.,International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, BC, Canada
| | - Anika Wurl
- Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada
| | - Hanwen Liu
- Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada.,International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, BC, Canada
| | - Cornelia Laule
- Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada.,International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, BC, Canada.,Radiology, University of British Columbia, Vancouver, BC, Canada.,Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - David K B Li
- Radiology, University of British Columbia, Vancouver, BC, Canada.,Medicine (Neurology), University of British Columbia, Vancouver, BC, Canada
| | - Anthony Traboulsee
- Medicine (Neurology), University of British Columbia, Vancouver, BC, Canada
| | - Roger Tam
- Radiology, University of British Columbia, Vancouver, BC, Canada.,Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada
| | - Lara A Boyd
- Department of Physical Therapy, University of British Columbia, Vancouver, BC, Canada
| | - Alex L MacKay
- Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada.,Radiology, University of British Columbia, Vancouver, BC, Canada
| | - Shannon H Kolind
- Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada.,International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, BC, Canada.,Radiology, University of British Columbia, Vancouver, BC, Canada.,Medicine (Neurology), University of British Columbia, Vancouver, BC, Canada
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34
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Archibald J, MacMillan EL, Graf C, Kozlowski P, Laule C, Kramer JLK. Metabolite activity in the anterior cingulate cortex during a painful stimulus using functional MRS. Sci Rep 2020; 10:19218. [PMID: 33154474 PMCID: PMC7645766 DOI: 10.1038/s41598-020-76263-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Accepted: 10/14/2020] [Indexed: 02/07/2023] Open
Abstract
To understand neurochemical brain responses to pain, proton magnetic resonance spectroscopy (1H-MRS) is used in humans in vivo to examine various metabolites. Recent MRS investigations have adopted a functional approach, where acquisitions of MRS are performed over time to track task-related changes. Previous studies suggest glutamate is of primary interest, as it may play a role during cortical processing of noxious stimuli. The objective of this study was to examine the metabolic effect (i.e., glutamate) in the anterior cingulate cortex during noxious stimulation using fMRS. The analysis addressed changes in glutamate and glutamate + glutamine (Glx) associated with the onset of pain, and the degree by which fluctuations in metabolites corresponded with continuous pain outcomes. Results suggest healthy participants undergoing tonic noxious stimulation demonstrated increased concentrations of glutamate and Glx at the onset of pain. Subsequent reports of pain were not accompanied by corresponding changes in glutamate of Glx concentrations. An exploratory analysis on sex revealed large effect size changes in glutamate at pain onset in female participants, compared with medium-sized effects in male participants. We propose a role for glutamate in the ACC related to the detection of a noxious stimulus.
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Affiliation(s)
- J Archibald
- International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, Canada.
- Department of Experimental Medicine, University of British Columbia, Vancouver, Canada.
| | - E L MacMillan
- Department of Radiology, University of British Columbia, Vancouver, Canada
- ImageTech Lab, Simon Fraser University, Surrey, Canada
- Philips Healthcare Canada, Markham, Canada
| | - C Graf
- International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, Canada
- Department of Physics and Astronomy, University of British Columbia, Vancouver, Canada
| | - P Kozlowski
- International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, Canada
- Hughill Center, Vancouver, Canada
- Department of Radiology, University of British Columbia, Vancouver, Canada
- UBC MRI Research Centre, University of British Columbia, Vancouver, Canada
| | - C Laule
- International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, Canada
- Hughill Center, Vancouver, Canada
- Department of Radiology, University of British Columbia, Vancouver, Canada
- Department of Physics and Astronomy, University of British Columbia, Vancouver, Canada
- UBC MRI Research Centre, University of British Columbia, Vancouver, Canada
- Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada
| | - J L K Kramer
- International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, Canada
- Department of Anesthesiology, Pharmacology and Therapeutics, Faculty of Medicine, University of British Columbia, Vancouver, Canada
- Djavad Mowafaghian Center for Brain Health (DMCH), Vancouver, Canada
- Hughill Center, Vancouver, Canada
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35
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Beaulieu C, Yip E, Low PB, Mädler B, Lebel CA, Siegel L, Mackay AL, Laule C. Myelin Water Imaging Demonstrates Lower Brain Myelination in Children and Adolescents With Poor Reading Ability. Front Hum Neurosci 2020; 14:568395. [PMID: 33192398 PMCID: PMC7596275 DOI: 10.3389/fnhum.2020.568395] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 08/31/2020] [Indexed: 01/18/2023] Open
Abstract
Magnetic resonance imaging (MRI) provides a means to non-invasively investigate the neurological links with dyslexia, a learning disability that affects one’s ability to read. Most previous brain MRI studies of dyslexia and reading skill have used structural or diffusion imaging to reveal regional brain abnormalities. However, volumetric and diffusion MRI lack specificity in their interpretation at the microstructural level. Myelin is a critical neural component for brain function and plasticity, and as such, deficits in myelin may impact reading ability. MRI can estimate myelin using myelin water fraction (MWF) imaging, which is based on evaluation of the proportion of short T2 myelin-associated water from multi-exponential T2 relaxation analysis, but has not yet been applied to the study of reading or dyslexia. In this study, MWF MRI, intelligence, and reading assessments were acquired in 20 participants aged 10–18 years with a wide range of reading ability to investigate the relationship between reading ability and myelination. Group comparisons showed markedly lower MWF by 16–69% in poor readers relative to good readers in the left and right thalamus, as well as the left posterior limb of the internal capsule, left/right anterior limb of the internal capsule, left/right centrum semiovale, and splenium of the corpus callosum. MWF over the entire group also correlated positively with three different reading scores in the bilateral thalamus as well as white matter, including the splenium of the corpus callosum, left posterior limb of the internal capsule, left anterior limb of the internal capsule, and left centrum semiovale. MWF imaging from T2 relaxation suggests that myelination, particularly in the bilateral thalamus, splenium, and left hemisphere white matter, plays a role in reading abilities. Myelin water imaging thus provides a potentially valuable in vivo imaging tool for the study of dyslexia and its remediation.
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Affiliation(s)
- Christian Beaulieu
- Department of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada
| | - Eugene Yip
- Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada
| | - Pauline B Low
- Department of Education and Counseling Psychology, University of British Columbia, Vancouver, BC, Canada
| | | | | | - Linda Siegel
- Department of Education and Counseling Psychology, University of British Columbia, Vancouver, BC, Canada
| | - Alex L Mackay
- Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada.,Department of Radiology, University of British Columbia, Vancouver, BC, Canada
| | - Cornelia Laule
- Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada.,Department of Radiology, University of British Columbia, Vancouver, BC, Canada.,Department of Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada.,International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, BC, Canada
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36
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Abel S, Vavasour I, Lee LE, Johnson P, Ristow S, Ackermans N, Chan J, Cross H, Laule C, Dvorak A, Schabas A, Hernández-Torres E, Tam R, Kuan AJ, Morrow SA, Wilken J, Rauscher A, Bhan V, Sayao AL, Devonshire V, Li DKB, Carruthers R, Traboulsee A, Kolind SH. Associations Between Findings From Myelin Water Imaging and Cognitive Performance Among Individuals With Multiple Sclerosis. JAMA Netw Open 2020; 3:e2014220. [PMID: 32990740 PMCID: PMC7525360 DOI: 10.1001/jamanetworkopen.2020.14220] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
IMPORTANCE Cognitive impairment is a debilitating symptom of multiple sclerosis (MS) that affects up to 70% of patients. An improved understanding of the underlying pathology of MS-related cognitive impairment would provide considerable benefit to patients and clinicians. OBJECTIVE To determine whether there is an association between myelin damage in tissue that appears completely normal on standard clinical imaging, but can be detected by myelin water imaging (MWI), with cognitive performance in MS. DESIGN, SETTING, AND PARTICIPANTS In this cross-sectional study, participants with MS and controls underwent cognitive testing and magnetic resonance imaging (MRI) from August 23, 2017, to February 20, 2019. Participants were recruited through the University of British Columbia Hospital MS clinic and via online recruitment advertisements on local health authority websites. Cognitive testing was performed in the MS clinic, and MRI was performed at the adjacent academic research neuroimaging center. Seventy-three participants with clinically definite MS fulfilling the 2017 revised McDonald criteria for diagnosis and 22 age-, sex-, and education-matched healthy volunteers without neurological disease were included in the study. Data analysis was performed from March to November 2019. EXPOSURES MWI was performed at 3 T with a 48-echo, 3-dimensional, gradient and spin-echo (GRASE) sequence. Cognitive testing was performed with assessments drawn from cognitive batteries validated for use in MS. MAIN OUTCOMES AND MEASURES The association between myelin water measures, a measurement of the T2 relaxation signal from water in the myelin bilayers providing a specific marker for myelin, and cognitive test scores was assessed using Pearson correlation. Three white matter regions of interest-the cingulum, superior longitudinal fasciculus (SLF), and corpus callosum-were selected a priori according to their known involvement in MS-related cognitive impairment. RESULTS For the 95 total participants, the mean (SD) age was 49.33 (11.44) years. The mean (SD) age was 50.2 (10.7) years for the 73 participants with MS and 46.4 (13.5) for the 22 controls. Forty-eight participants with MS (66%) and 14 controls (64%) were women. The mean (SD) years of education were 14.7 (2.2) for patients and 15.8 (2.5) years for controls. In MS, significant associations were observed between myelin water measures and scores on the Symbol Digit Modalities Test (SLF, r = -0.490; 95% CI, -0.697 to -0.284; P < .001; corpus callosum, r = -0.471; 95% CI, -0.680 to -0.262; P < .001; and cingulum, r = -0.419; 95% CI, -0.634 to -0.205; P < .001), Selective Reminding Test (SLF, r = -0.444; 95% CI, -0.660 to -0.217; P < .001; corpus callosum, r = -0.411; 95% CI, -0.630 to -0.181; P = .001; and cingulum, r = -0.361; 95% CI, -0.602 to -0.130; P = .003), and Controlled Oral Word Association Test (SLF, r = -0.317; 95% CI, -0.549 to -0.078; P = .01; and cingulum, r = -0.335; 95% CI, -0.658 to -0.113; P = .006). No significant associations were found in controls. CONCLUSIONS AND RELEVANCE This study used MWI to demonstrate that otherwise normal-appearing brain tissue is diffusely damaged in MS, and the findings suggest that myelin water measures are associated with cognitive performance. MWI offers an in vivo biomarker feasible for use in clinical trials investigating cognition, providing a means for monitoring changes in myelination and its association with symptom worsening or improvement.
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Affiliation(s)
- Shawna Abel
- Department of Medicine (Neurology), The University of British Columbia, Vancouver, British Columbia, Canada
| | - Irene Vavasour
- Department of Radiology, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Lisa Eunyoung Lee
- Department of Medicine (Neurology), The University of British Columbia, Vancouver, British Columbia, Canada
| | - Poljanka Johnson
- Department of Medicine (Neurology), The University of British Columbia, Vancouver, British Columbia, Canada
| | - Stephen Ristow
- Department of Medicine (Neurology), The University of British Columbia, Vancouver, British Columbia, Canada
| | - Nathalie Ackermans
- Department of Medicine (Neurology), The University of British Columbia, Vancouver, British Columbia, Canada
| | - Jillian Chan
- Department of Medicine (Neurology), The University of British Columbia, Vancouver, British Columbia, Canada
| | - Helen Cross
- Department of Medicine (Neurology), The University of British Columbia, Vancouver, British Columbia, Canada
| | - Cornelia Laule
- Department of Radiology, The University of British Columbia, Vancouver, British Columbia, Canada
- Department of Pathology & Laboratory Medicine, The University of British Columbia, Vancouver, British Columbia, Canada
- Department of Physics & Astronomy, The University of British Columbia, Vancouver, British Columbia, Canada
- International Collaboration on Repair Discoveries, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Adam Dvorak
- Department of Physics & Astronomy, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Alice Schabas
- Department of Medicine (Neurology), The University of British Columbia, Vancouver, British Columbia, Canada
| | - Enedino Hernández-Torres
- Department of Medicine (Neurology), The University of British Columbia, Vancouver, British Columbia, Canada
| | - Roger Tam
- Department of Radiology, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Annie J. Kuan
- Department of Psychiatry, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Sarah A. Morrow
- Department of Clinical Neurological Sciences, Western University, London, Ontario, Canada
| | - Jeffrey Wilken
- Department of Neurology, Georgetown University Hospital, Washington, DC
- Washington Neuropsychology Research Group LLC, Fairfax, Virginia
| | - Alexander Rauscher
- Department of Radiology, The University of British Columbia, Vancouver, British Columbia, Canada
- Department of Physics & Astronomy, The University of British Columbia, Vancouver, British Columbia, Canada
- Department of Pediatrics, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Virender Bhan
- Department of Medicine (Neurology), The University of British Columbia, Vancouver, British Columbia, Canada
| | - Ana-Luiza Sayao
- Department of Medicine (Neurology), The University of British Columbia, Vancouver, British Columbia, Canada
| | - Virginia Devonshire
- Department of Medicine (Neurology), The University of British Columbia, Vancouver, British Columbia, Canada
| | - David K. B. Li
- Department of Medicine (Neurology), The University of British Columbia, Vancouver, British Columbia, Canada
- Department of Radiology, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Robert Carruthers
- Department of Medicine (Neurology), The University of British Columbia, Vancouver, British Columbia, Canada
| | - Anthony Traboulsee
- Department of Medicine (Neurology), The University of British Columbia, Vancouver, British Columbia, Canada
| | - Shannon H. Kolind
- Department of Medicine (Neurology), The University of British Columbia, Vancouver, British Columbia, Canada
- Department of Radiology, The University of British Columbia, Vancouver, British Columbia, Canada
- Department of Physics & Astronomy, The University of British Columbia, Vancouver, British Columbia, Canada
- International Collaboration on Repair Discoveries, The University of British Columbia, Vancouver, British Columbia, Canada
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37
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Missiuna P, Shen J, Nahle I, Shen J, Alanazi M, Rutges J, Rocos B, Miyanji F, Lohkamp L, Grootjen L, Hachem L, Aldebeyan S, Machida M, Padhye K, Rushton P, Jentzsch T, Jentzsch T, Lewis S, Passias P, Pierce K, Lewis S, Passias P, Nielsen C, Glennie A, Crawford E, Schneider N, Ayling O, Christie S, Greene R, Singh S, Beauchamp-Chalifour P, Balasuberamaniam P, Singh S, Mercure-Cyr R, Wilson J, Evaniew N, Martin A, Rienmueller A, Martin A, Karim M, Martin A, Cheung A, Badhiwala J, Diotalevi L, Jaja B, Fallah N, Badhiwala J, Wasim A, Manson N, Lasry O, Crawford E, Brown A, MacLean MA, Khan O, Badhiwala J, Odai KG, Bailly N, Khan O, Evaniew N, Yamamoto S, Singh M, Kashigar A, Persad A, Fernandes RJR, Malakoutian M, Ahuja C, Morris S, Stukas S, Chen T, Babadagli E, Xu M, Nater A, Oitment C, Karim M, Aziz M, Pahuta M, Versteeg A, Sundararajan K, Tanguay R, Stratton A, Cushnie D, Correale M, Sadiq I, Badhiwala J, Passias P, Badhiwala J, McGregor S, Passias P, Badhiwala J, Chen T, Singh S, Ayling O, Bond M, Rienmueller A, Chen T, Lasry O, Lyons F, Ahmed U, Inglis T, Waheed Z, Wilson J, Nater A, Pahuta M, Klein G, McKibben N, Kassam F, Clement A, Kanawati A, Shaikh N, Kanawati A, Alshammari A, Kanawati A, Yamamoto S, Hamilton K, Huschi Z, Peng YN, Huschi Z, Filgueira É, Goulet J, Kashigar A, Chen T, Hadgaonkar S, MacLean M, Chen T, Kerr HL, Meagher J, Wilson J, Stevens M, Rocos B, Pai A, Kingwell S, Thibault J, Touchette C, Moskven E, Greene R, DeVries Z, Sarraj M, Bosakhar B, Thornley P, Donnellan J, Kishta W, Darby P, Nahle I, Alzakri A, Roy-Beaudry M, Joncas J, Turgeon I, Parent S, Shen J, Alzakri A, Roy-Beaudry M, Joncas J, Turgeon I, Parent S, Samson N, Lamontagne-Proulx J, Soulet D, Tremblay Y, Praud JP, Parent S, Parent S, Gross D, Renkens J, Schlösser T, Stadhouder A, Kruyt M, Mostert A, Tee J, de Klerk L, De Kleuver M, Castelein R, Zeller R, Lewis S, Tan T, Lebel D, Rushton P, Petcharaporn M, Samdani A, Newton P, Marks M, Drake J, Dirks P, Rutka J, Kulkarni A, Ibrahim G, Taylor M, Dewan M, Zeller R, Donze S, Damen L, Rutges J, Hokken-Koelega A, Mathieu F, Lamberti-Pasculi M, Hanak B, Zeller R, Kulkarni A, Drake J, Ibrahim G, Rushton P, Ghag R, Miyanji F, Zeller R, Lewis S, Lebel D, Peiro-Garcia A, Benavides B, Parsons D, Ferri-de-Barros F, Aldebeyan S, Ghag R, Miyanji F, Kutschke L, Laux C, Kabelitz M, Schüpbach R, Böni T, Farshad M, Nielsen C, Lewis S, Lenke L, Shaffrey C, Cheung K, Berven S, Qiu Y, Matsuyama Y, Pellisé-Urquiza F, Polly D, Sembrano J, Dahl B, Kelly M, de Kleuver M, Spruit M, Alanay A, Alas H, Kim HJ, Lafage R, Soroceanu A, Hockley A, Ames C, Klineberg E, Burton D, Diebo B, Bess S, Line B, Shaffrey C, Smith J, Schwab F, Lafage V, Passias P, Lafage R, Soroceanu A, Hockley A, Line B, Klineberg E, Bess S, Protopsaltis T, Shaffrey C, Schwab F, Scheer J, Smith J, Lafage V, Ames C, Lenke L, Shaffrey C, Cheung K, Berven S, Qiu Y, Matsuyama Y, Pellisé-Urquiza F, Polly D, Sembrano J, Dahl B, Kelly M, de Kleuver M, Spruit M, Alanay A, Bortz C, Pierce K, Alas H, Brown A, Soroceanu A, Hockley A, Vira S, Ahmad W, Naessig S, Diebo B, Raman T, Protopsaltis T, Buckland A, Gerling M, Lafage R, Lafage V, Lewis S, Lenke L, Shaffrey C, Cheung K, Berven S, Qiu Y, Matsuyama Y, Pellisé-Urquiza F, Polly D, Sembrano J, Dahl B, Kelly M, de Kleuver M, Spruit M, Alanay A, Bailey C, Rampersaud R, Fisher C, Chen T, McIntosh G, Rampersaud R, Karim M, Urquhart J, Fisher C, Street J, Dvorak M, Paquette S, Charest-Morin R, Ailon T, Glennie A, Manson N, Rampersaud R, Thomas K, Rasoulinejad P, Bailey C, Ailon T, Fisher C, Greene R, Glennie A, Duquette D, LeBlanc D, Martell B, Schmidt M, Christie S, Wong DBT, Di Paola C, Ailon T, Charest-Morin R, Dea N, Dvorak M, Fisher C, Kwon B, Paquette S, Street J, Street J, Flexman A, Charest-Morin R, Wasim A, Schwartz C, Stark R, Shrikumar M, Finkelstein J, Gara A, Banaszek D, Wong T, Ailon T, Bryce E, Charest-Morin R, Dea N, Dvorak M, Fisher C, Kwon B, Paquette S, Street J, Persad A, Spiess M, Wu A, Woo A, Hnenny L, Fourney D, Joshi H, Khan O, Badhiwala J, Rampersaud R, Lewis S, Massicotte E, Fehlings M, Cadotte D, Bailey C, Christie S, Dea N, Fisher C, Paquet J, Soroceanu A, Thomas KC, Rampersaud YR, Wilson J, Manson N, Johnson M, Hall H, McIntosh G, Jacobs B, Kalsi-Ryan S, Akbar MA, Badhiwala J, Wilson J, Tetreault L, Nouri A, Rienmuller A, Massicotte E, Fehlings M, Kalsi-Ryan S, Riehm L, Martin A, Badhiwala J, Akbar M, Massicotte E, Fehlings M, Kalsi-Ryan S, Akbar MA, Badhiwala J, Wilson J, Tetreault L, Nouri A, Rienmuller A, Massicotte E, Fehlings M, Jacobs B, Johnson M, Bailey C, Christie S, Paquet J, Nataraj A, Cadotte D, Wilson J, Manson N, Hall H, Thomas K, Rampersaud R, McIntosh G, Fisher C, Dea N, Wilson J, Jentzsch T, Jiang F, Badhiwala J, Moghaddamjou A, Akbar MA, Nater A, Rienmuller A, Ganau M, Massicotte E, Fehlings M, Tu L, Manouchehri N, Kim KT, So K, Webster M, Fisk S, Tigchelaar S, Dalkilic S, Sayre E, Streijger F, Macnab A, Kwon B, Shadgan B, Wilson J, Fehlings M, Bailly N, Wagnac E, Mac-Thiong JM, Goulet J, Petit Y, Badhiwala J, Grossman R, Geisler F, Fehlings M, Wilson J, Rivers C, Kwon B, Waheed Z, Buenaventura J, Humphreys S, Noonan V, Evaniew N, Dvorak M, Wilson J, Fehlings M, Shrikumar M, Balasuberamaniam P, Rapkin B, Schwartz C, Stark R, Finkelstein J, Bigney E, Darling M, Richardson E, El-Mughayyar D, Abraham E, Street J, Radomski L, Rampersaud R, Pierce K, Bortz C, Alas H, Naessig S, Ahmad W, Vira S, Diebo B, Sciubba D, Hassanzadeh H, Hockley A, Soroceanu A, Protopsaltis T, Buckland A, Passias P, Greene R, Christie SD, Badhiwala J, Fehlings M, Witiw C, Wilson J, Fehlings M, Nessek H, Wai E, Phan P, Diotalevi L, Beauséjour MH, Wagnac E, Mac-Thiong JM, Petit Y, Badhiwala J, Fehlings M, Mazlouman S, Belley-Côté E, Jacobs B, Kwon B, Malakoutian M, Theret M, Street J, Brown S, Rossi F, Oxland T, Singh P, Chandra S, Laratta J, Carreon L, Bisson E, Ghogawala Z, Yew A, Mkorombindo T, Mummaneni P, Glassman S, Kindrachuk M, Hnenny L, Wu A, Norton J, Fourney D, Gee A, Kerr HL, Kanawati A, Zdero R, Gurr K, Bailey C, Rasoulinejad P, Yamamoto S, Sadaram S, Speidel J, Liu J, Street J, Brown S, Oxland T, Khazaei M, Walji I, Dadabhoy M, Gulati N, Aiyar N, Ostmeier S, Hasan A, Senthilnathan V, Punjani N, Yao Y, Yue S, Ozdemir G, Lou Z, Luong W, Post A, Tootsi A, Chan P, Fehlings M, Yung A, George S, Prevost V, Bauman A, Kozlowski P, Samadi F, Fournier C, Parker L, Dong K, Streijger F, Moore W, Laule C, Kwon B, Gill J, Cooper J, Dong K, Streijger F, Street J, Paquette S, Ailon T, Charest-Morin R, Fisher C, Dvorak M, Dhall S, Mac-Thiong JM, Parent S, Bailey C, Christie S, Wellington C, Kwon B, Crawford E, Zhang Y, Hardisty M, Finkelstein J, Kureshi N, Julien L, Abidi R, Christie S, Parashin S, Gascoyne T, Goytan M, Chuang J, Liu K, Quraishi N, Pasku D, Wilson J, Fehlings M, Bozzo A, Reinmuller A, Martin A, Hananel SY, Thornley P, Gazendam A, Aoude A, Nielsen C, Rampersaud R, Dea N, Versteeg A, Sahgal A, Verlaan JJ, Morin RC, Rhines L, Sciubba D, Schuster J, Weber M, Lazary A, Fehlings M, Clarke M, Arnold P, Boriani S, Laufer I, Gokaslan Z, Fisher C, Rosenzweig D, Weber M, Fisk F, Versteeg A, Fisher C, Sahgal A, Gokaslan Z, Rhines L, Boriani S, Bettegowda C, Dea N, Gal R, Charest-Morin R, Verlaan JJ, Verkooijen L, Fisher C, Perruccio A, Rampersaud R, Eckenswiller D, Yu A, Klassen K, Lewkonia P, Thomas K, Jacobs B, Miller N, Swamy G, Yang M, Soroceanu A, Phan P, Wai E, Kingwell S, Moravek D, Tierney S, Street J, Sundararajan K, Bosma R, Faclier G, Di Renna T, Rampersaud R, Frederick A, Kassam F, Nicholls F, Swamy G, Lewkonia P, Thomas K, Jacobs B, Miller N, Tanguay R, Soroceanu A, Platt A, Traynelis V, Witiw C, Horn S, Weiser-Horwitz S, Bortz C, Segreto F, Pierce K, Lafage R, Hockley A, Vira S, Lafage V, Witiw C, Wilson J, Nassiri F, da Costa L, Nathens A, Fehlings M, Jacobs B, Alas H, Pierce K, Brown A, Bortz C, Hockley A, Soroceanu A, Vira S, Naessig S, Ahmad W, Lafage R, Lafage V, Witiw C, Wilson J, da Costa L, Nathens A, Fehlings M, Crawford E, McIntosh G, Rampersaud R, Fisher C, Manson N, Thomas K, Hall H, Rampersaud R, Dea N, McIntosh G, Charest-Morin R, Investigators CSORN, Ailon T, Fisher C, Evaniew N, Aldebeyan S, Thomas K, Sundararajan K, Oitment C, Lewis S, Perruccio A, Rampersaud R, Christie S, Yee A, Fisher C, Jarzem P, Roy JF, Bouchard J, Evans D, Kwon B, Splawinski J, Warren D, Street J, Morris S, Costello J, Farrell M, Humphreys S, Kurban D, Rivers C, Jeffrey M, Juutilainen S, Casha S, Christie S, Clarke T, Drew B, Ethans K, Fehlings M, Fox R, Linassi G, Marion T, O’Connell C, Paquet J, Reid J, Scott L, Fourney D, Schouten R, Rivers C, Chen M, Nunnerley J, Croot T, Young L, Patel A, Dvorak M, Kwon B, Rivers C, Buenaventura J, Humphreys S, Noonan V, Fallah N, Evaniew N, Dvorak M, Cronin S, Badhiwala J, Ginsberg H, Fehlings M, Kwon B, Jaglal S, Wilson J, Fehlings M, Fisk F, Versteeg A, Fisher C, Sahgal A, Gokaslan Z, Rhines L, Boriani S, Bettegowda C, Dea N, Martel A, Sahgal A, Finkelstein J, Whyne C, Hardisty M, Baksh N, Nguyen T, Brown S, Jaboin J, Lin C, Yach J, Hardisty M, Whyne C, Fernandez R, Gee A, Urquhart J, Bailey C, Rasoulinejad P, Zhang H, Shewchuk J, Street J, Wilson D, Oxland T, Fernandez R, Gee A, Urquhart J, Bailey C, Rasoulinejad P, Algarni N, Aljarboa N, Jarzem P, Fernandez R, Gee A, Urquhart J, Bailey C, Rasoulinejad P, Whyte T, Van Toen C, Melnyk A, Shewchuk J, Street J, Cripton P, Oxland T, Avila M, Hurlbert RJ, Neuburger L, Ahmed SU, Cheng Y, Fourney D, Hsu HC, Kao CH, Neuburger L, Ahmed SU, Cheng Y, Fourney D, Meves R, de Oliveira AI, da Silva HC, Richard-Denis A, Petit Y, Diotalevi L, Mac-Thiong JM, Laratta J, Bisson E, Carreon L, Yew A, Mkorombindo T, Glassman S, Christie S, Bouchard J, Fisher C, Roy JF, Yee A, Jarzem P, Khurjekar K, Kothari A, Zawar A, Sanchetui P, Shyam A, Touchette C, Han JH, Christie S, Pickett G, Yee A, Bouchard J, Christie S, Fisher C, Jarzem P, Roy JF, Hashem L, Urquhart J, Rasoulinejad P, Gurr K, Siddiqi F, Bailey C, Attabib N, Bigney E, Richardson E, El-Mughayyar D, Darling M, Manson N, Abraham E, Badhiwala J, Jiang F, Wilson J, Fehlings M, Dunning C, Oxner W, Stewart S, Glennie A, Hutchinson J, Oxland T, Zhang H, Shewchuk J, Wilson D, Street J, Wilk S, Wai E, Phan P, Stratton A, Mohammed S, Tsai E, Alkerayf F, Michalowski W, Phan P, Wai E, Hoda M, MacLean M, Brunette-Clément T, Abduljabba F, Weber M, Fourney D, Charest-Morin R, Flexman A, Street J, Frey M, Mackey S, De Carvalho D, Barrowman N, Smit K, Tice A, Mervitz D, Jarvis J, Kingwell S. Canadian Spine SocietyPresentation CPSS1: Spinal insufficiency fracture in the geriatric pediatric spinePresentation CPSS2: The clinical significance of tether breakages in anterior vertebral body growth modulation: a 2-year postoperative analysisPresentation CPSS3: Anterior vertebral body growth modulation for idiopathic scoliosis: early, mid-term and late complicationsPresentation CPSS4: Ovine model of congenital chest wall and spine deformity with alterations of respiratory mechanics: follow-up from birth to 3 monthsPresentation CPSS5: Test–retest reliability and minimum detectable change of the English translation of the Italian Spine Youth Quality of Life questionnaire in adolescents with idiopathic scoliosisPresentation B1. Abstract 31: Incidence of delayed spinal cord injury in pediatric spine deformity surgery seems to be higher than previously assumedPresentation B2. Abstract 155: What is the optimal surgical method for achieving successful symptom relief in pediatric high-grade spondylolisthesis?Presentation B3. Abstract 47: Vertebral body tethering: Truly motion preserving or rather limiting?Presentation B4. Abstract 180: Fusion rates in pediatric patients after posterior cervical spine instrumentationPresentation B5. Abstract 102: Effects of 8 years of growth hormone treatment on the onset and progression of scoliosis in children with Prader–Willi syndromePresentation B6. Abstract 144: Klippel–Feil syndrome: clinical phenotypes associated with surgical treatmentPresentation B7. Abstract 123: Anterior release for idiopathic scoliosis: Is it necessary for curve correction?Presentation B8. Abstract 62: Severe scoliosis: Do we know a better way? A retrospective comparative studyPresentation B9. Abstract 21: Intraoperative skull femoral traction in adolescent idiopathic scoliosis: the correlation of traction with side-bending radiographsPresentation B10. Abstract 147: What is the effect of intraoperative halo-femoral traction on correction of adolescent idiopathic scoliosis?Presentation B11. Abstract 174: Extreme long-term outcome of surgically versus non-surgically treated patients with adolescent idiopathic scoliosisPresentation B12. Abstract 172: The influence of multilevel spinal deformity surgery on the clinical outcome in the elderly: a prospective, observational, multicentre studyPresentation B13. Abstract 49: Demographics of a prospective evaluation of elderly deformity surgery: a prospective international observational multicentre studyPresentation B14. Abstract 119: Timing of conversion to cervical malalignment and proximal junctional kyphosis following surgical correction of adult spinal deformityPresentation B15. Abstract 44: Prioritization of realignment associated with superior clinical outcomes for surgical cervical deformity patientsPresentation B16. Abstract 50: Outcome of multilevel spinal deformity surgery in patients over 60 years of age: a multicentre international prospective studyPresentation B17. Abstract 122: A simpler, modified frailty index weighted by complication occurrence correlates to pain and disability for adult spinal deformity patientsPresentation B18. Abstract 75: Change in Oswestry Disability Index at 24 months following multilevel spinal deformity surgery in patients over 60 years of age: a multicentre international prospective studyPresentation C19. Abstract 19: A prospective cohort study evaluating trends in the surgical treatment of degenerative spondylolisthesis in Canada and the utility of a novel surgical decision aidPresentation C20. Abstract 154: Decompression compared with decompression and fusion for degenerative lumbar spondylolisthesis: a Canadian Spine Outcomes and Research Network (CSORN) studyPresentation C21. Abstract ID 77: Lumbar degenerative spondylolisthesis: factors impacting decision to fusePresentation C22. Abstract 27: Patient-reported outcomes following surgery for lumbar disc herniation: comparison of a universal and multitier health care systemPresentation C23. Abstract 151: Do patients with recurrent lumbar disc herniations fair worse with discectomy than primary operations? A retrospective analysis from the Canadian Spine Outcomes and Research NetworkPresentation C24. Abstract 136: A province-wide assessment of the appropriateness of lumbar spine MRIPresentation D25. Abstract 32: Surgical site infection reduction — a 10-year quality improvement journeyPresentation D26. Abstract 34: The impact of frailty on patient-reported outcome measures following elective thoraco-lumbar spine surgeryPresentation D27. Abstract 8: Moving toward better health: exercise practice is associated with improved outcomes after spine surgeryPresentation D28. Abstract 33: Preoperative decolonization does not adversely affect the microbiologic spectrum of spine surgical site infectionPresentation D29. Abstract 61: Feedback: reducing after-hours spine cases using an encrypted messaging systemPresentation D30. Abstract 177: Complex spine surgery is safe and effective in the extremely elderly age group: results from an ambispective study of 722 patients over 75 years old from a single institutionPresentation E31. Abstract 38: Clinical predictors of achieving minimal clinically important difference after surgery for cervical spondylotic myelopathy: an external validation study from the Canadian Spine Outcomes and Research NetworkPresentation E32. Abstract 66: The natural history of degenerative cervical myelopathy: an ambispective longitudinal cohort studyPresentation E33. Abstract 159: Quantitative assessment of gait characteristics in degenerative cervical myelopathy (DCM): a prospective studyPresentation E34. Abstract 130: Prognostic factors in degenerative cervical myelopathy (DCM) for patients managed operatively and nonoperativelyPresentation E35. Abstract 175: Efficacy of surgical decompression in patients with cervical spondylotic myelopathy: results of a Canadian prospective multicentre studyPresentation E36. Abstract 67: Interobserver reliability of the modified Japanese Orthopedic Association (mJOA) score in degenerative cervical myelopathyPresentation F37. Abstract 128: Continuous optical monitoring of spinal cord hemodynamics during the first 7 days after injury in a porcine model of acute spinal cord injuryPresentation F38. Abstract 106: Development of a prediction model for central cord syndrome: an evaluation of motor recovery and the effectiveness of early surgery in a prospective, multicentre cohortPresentation F39. Abstract 135: Spinal cord dynamics under different clinical configurations of thoracolumbar burst fractures through numerical simulationsPresentation F40. Abstract 60: Predicting the heterogeneity of outcome following sensorimotor complete cervical spinal cord injury: trajectory-based analysis of 655 prospectively enrolled patientsPresentation F41. Abstract 167: Mortality in the year following discharge to the community from inpatient care for acute traumatic spinal cord injury: When and why?Presentation F42. Abstract 104: A novel method to classify patients with cervical incomplete spinal cord injury based on potential for recovery: a group-based trajectory analysis using prospective, multicentre data from over 800 patientsPresentation G43. Abstract 7: Responsiveness of standard spine outcome tools: Do they measure up?Presentation G44. Abstract 142: Patient outcomes: important psychological measuresPresentation G45. Abstract 84: Accuracy of surveillance for surgical site infections after spine surgery: a Bayesian latent class analysis using 4 independent data sourcesPresentation G46. Abstract 169: Econometric modelling: development of a surgical cost calculator for degenerative conditions of the lumbar spinePresentation G47. Abstract 124: The economic impact of nonreimbursable events in open, minimally invasive and robot-assisted lumbar fusion surgeryPresentation G48. Abstract 164: Are there sex differences in preoperative health status and health care delivery for patients undergoing scheduled lumbar surgery? An analysis from the Canadian Spine Outcomes and Research NetworkPresentation H49. Abstract 41: Patient phenotypes associated with functional outcomes after spinal cord injury: a principal component analysis in 1119 patientsPresentation H50. Abstract 103: Early versus late surgical decompression for acute traumatic spinal cord injury: a pooled analysis of prospective, multicentre data in 1548 patientsPresentation H51. Abstract 79: Clinical outcome correlation of diffusion tensor imaging and magnetic resonance imaging values: a systematic reviewPresentation H52. Abstract 137: A numerical study on the pathogenesis of central cord syndromePresentation H53. Abstract 42: Feasibility and utility of machine learning in prediction of bladder outcomes after spinal cord injury: analysis of 1250 patients from the European Multicenter Study about Spinal Cord Injury (EMSCI) registryPresentation H54. Abstract 18: Interventions to optimize spinal cord perfusion in patients with acute traumatic spinal cord injuries: a systematic reviewPresentation i55. Abstract 55: The effect of posterior lumbar spinal surgery on passive stiffness of rat paraspinal muscles 13 weeks post-surgeryPresentation i56. Abstract 43: A computed tomographic based morphometric analysis of the axis in adult populationPresentation i57. Abstract 92: Is there value to flexion–extension x-rays for degenerative spondylolisthesis? A multicentre retrospective studyPresentation i58. Abstract 98: The novel “7/20 EMG protocol” in combination with O-arm image-guided navigation for accurate lumbar pedicle placement while minimizing diagnostic radiation exposurePresentation i59. Abstract 148: Comparative biomechanical study of 2 types of transdiscal fixation implants for high-grade L5/S1 spine spondylolisthesis in a porcine modelPresentation i60. Abstract 85: The effects of fibre bundle size and vertebral level on passive stiffness of the lumbar paraspinal muscles in a rat modelPresentation J61. Abstract 157: A self-assembling peptide biomaterial to enhance human neural stem cell-based regeneration of the injured spinal cordPresentation J62. Abstract 162: Measuring demyelination, axonal loss and inflammation after human spinal cord injury with quantitative magnetic resonance imaging and histopathologyPresentation J63. Abstract 179: Characterization of ubiquitin C-terminal hydrolase L1 (UCH-L1) as a fluid biomarker of human traumatic spinal cord injuryPresentation J64. Abstract 13: Utility and role of virtual reality based simulation models in spinal decompression trainingPresentation J65. Abstract 160: Investigating the determinants for predicting surgical patient outcomes through the application of machine learning methodsPresentation J66. Abstract 143: Comparison of screw design and technique on cervical lateral mass screw fixationPresentation K67. Abstract 57: Development of clinical prognostic models for postoperative survival and quality of life in patients with surgically treated metastatic epidural spinal cord compressionPresentation K68. Abstract 170: Sarcomas of the spine: a 20-year survey of disease and treatment strategy in Ontario, CanadaPresentation K69. Abstract 15: Metastatic spine disease: Should patients with short life expectancy be denied surgical care? An international retrospective cohort studyPresentation K70. Abstract 29: Nanoparticle-functionalized polymethyl methacrylate bone cement for sustained chemotherapeutic drug deliveryPresentation K71. Abstract 90: Development of the Spine Oncology Study Group Outcomes Questionnaire – 8 Domain (SOSGOQ-8D)Presentation K72. Abstract 6: Treatment expectations of patients with spinal metastases: What do we tell our patients?Presentation L73. Abstract 48: Factors related to risk of opioid abuse in primary care patients with low back painPresentation L74. Abstract 65: QI/QA of a transitional outpatient pain program for spinePresentation L75. Abstract 168: The effect of preoperative opioid use on hospital length of stay in patients undergoing elective spine surgeryPresentation L76. Abstract 163: Disability or pain: Which best predicts patient satisfaction with surgical outcome? A Canadian Spine Outcomes and Research Network (CSORN) studyPresentation L77. Abstract 58: Rapid access to interventional pain management for lumbar nerve root pain through collaborative interprofessional provider networksPresentation L78. Abstract 63: Chronic preoperative opioid use associated with higher perioperative resource utilization and complications in adult spinal deformity patientsPresentation M79. Abstract 108: Cervical disc arthroplasty versus anterior cervical discectomy and fusion: a longitudinal analysis of reoperationsPresentation M80. Abstract 46: Preliminary results of randomized controlled trial investigating the role of psychological distress on cervical spine surgery outcomes: a baseline analysisPresentation M81. Abstract 110: Operative versus nonoperative treatment of geriatric odontoid fractures: a study of North American trauma centresPresentation M82. Abstract 74: Clinical outcome of posterior cervical foraminotomy versus anterior cervical discectomy and fusionPresentation M83. Abstract 45: “Reverse Roussouly”: ratios of cervical to thoracic shape curvature in an adult cervical deformity populationPresentation M84. Abstract 109: Treatment of acute traumatic central cord syndrome: a study of North American trauma centresPresentation N85. Abstract 118: Comparing minimally invasive versus traditional open lumbar decompression and fusion surgery: a Canadian Spine Outcomes and Research Network (CSORN) studyPresentation N86. Abstract 54: Time to return to work after lumbar spine surgeryPresentation N87. Abstract 28: Patient-reported outcomes following surgery for lumbar spinal stenosis: comparison of a universal and multitier health care systemPresentation N88. Abstract 93: Outcomes of surgery in older adults with lumbar spinal stenosisPresentation N89. Abstract 162: Functional objective assessment using the TUG test is a useful tool to evaluate outcome in lumbar spinal stenosisPresentation N90. Abstract 36: A Canadian Spine Outcomes and Research Network (CSORN) matched-cohort study comparing lumbar fusion and disk arthroplastyPresentation o91. Abstract 171: Development of clinical practice guidelines for the management of traumatic spinal column and cord injuries in British Columbia: an approach to standardizing care of spine trauma patientsPresentation o92. Abstract 22: Notes from a small island: stemming the tide of a spinal deluge. The use of encrypted software applications to ensure accountability, quality control and surgical consensus in a national acute adult spinal surgery centrePresentation o93. Abstract 129: Traumatic spinal cord injuries among Aboriginal and non-Aboriginal populations in Canada: an ambispective outcomes studyPresentation o94. Abstract 132: Traumatic spinal cord injury in New Zealand and Canada: a comparative analysisPresentation o95. Abstract 150: Exploring the reasons for readmission following traumatic spinal cord injuryPresentation o96. Abstract 59: Exploring the epidemiology and impact of spinal cord injury in the elderly: a 15-year Canadian population-based cohort studyPresentation P1. Abstract 139: Incidence and management of spinal metastasis in Ontario: a population-based studyPresentation P2. Abstract 91: A general population utility valuation study for the Spine Oncology Study Group Outcomes Questionnaire – 8DPresentation P3. Abstract 158: Metastatic vertebrae segmentation by augmented 3D convolutional neural networkPresentation P4. Abstract 73: Risk factors for failure of radiation therapy for spinal metastasesPresentation P5. Abstract 68: Significance of extracanalicular cement extravasation in thoracolumbar kyphoplastyPresentation P6. Abstract 120: Modelling fracture in osteoblastic vertebraePresentation P7. Abstract 97: The development of novel 2-in-1 patient-specific, 3D-printed laminar osteotomy guides with integrated pedicle screw guidesPresentation P8. Abstract 56: Effect of pelvic retroversion on pelvic geometry and muscle morphometry from upright magnetic resonance imagingPresentation P9. Abstract 161: Anatomic relationship between the accessory process of the lumbar spine and the pedicle screw entry pointPresentation P10. Abstract 20: Novel chair to measure lumbar spine extensors strength in adultsPresentation P11. Abstract 95: Error measurement between human spine, 3D scans, CT-based models, and 3D-printed modelsPresentation P12. Abstract 52: The diagnostic precision of computed tomography for traumatic cervical spine injury: an in vitro investigationPresentation P13. Abstract 94: Epidural abscess causing spinal cord infarctionPresentation P14. Abstract 83: The nerve root sedimentation sign on magnetic resonance imaging is not only correlated with neurogenic claudication: association with all types of leg-dominant mechanical painPresentation P15. Abstract 3: Accuracy of robot-assisted compared with freehand pedicle screw placement in spine surgery: a meta-analysis of randomized controlled trialsPresentation P16. Abstract 82: A positive nerve root sedimentation sign on magnetic resonance imaging is associated with improved surgical outcomes in patients with back dominant painPresentation P17. Abstract 16: Thoracolumbar burst fracture: McCormack load-sharing classification —systematic review and single-arm meta-analysisPresentation P18. Abstract 86: Morphological features of thoracolumbar burst fractures associated with neurologic recovery after thoracolumbar traumatic spinal cord injuryPresentation P19. Abstract 89: Radiographic parameters of listhesis and instability are not associated with health status or clinical outcomes in grade 1 degenerative spondylolisthesisPresentation P20. Abstract 37: Predictive socioeconomic factors following lumbar disk arthroplasty: a Canadian Spine Outcomes and Research Network (CSORN) studyPresentation P21. Abstract 25: Effect of in situ fusion in lumbar spondylolisthesis on clinical outcomes and spino-pelvic sagittal balancingPresentation P22. Abstract 10: Sex differences in the surgical management of lumbar degenerative disease: a systematic reviewPresentation P23. Abstract 35: Two-year results of lumbar disk arthroplasty: a Canadian Spine Outcomes and Research Network (CSORN) studyPresentation P24. Abstract 78: Does disc morphology affect the success of nonoperative treatment of chronic sciatica from a lumbar disc herniation?Presentation P25. Abstract 141: Opioid prescribing patterns: preliminary investigationPresentation P26. Abstract 133: Frailty is a better predictor of complications than age alone after surgical treatment of degenerative cervical myelopathy: an ambispective study of 5107 elderly patients from the National Surgical Quality Improvement Program databasePresentation P27. Abstract 26: Pathway analysis in spine surgery: a model for evaluating length of stayPresentation P29. Abstract 156: Patients with adolescent idiopathic scoliosis (AIS) have different cervical lordosis than the normal populationPresentation P31. Abstract 64: Investigation of thoracic spinal muscle morphology with upright magnetic resonance imagingPresentation P32. Abstract 80: Postoperative complication prediction between spinal surgeons and a machine learning model: a comparative studyPresentation P33. Abstract 81: Is using a simplified procedural classification as accurate as using current procedural terminology codes to predict future complications in spinal surgery?Presentation P34. Abstract 88: Preoperative patient performance status and frailty phenotype as predictive factors of outcome in surgically treated patients with metastatic spinal disease: a systematic literature reviewPresentation P35. Abstract 101: The measurements of frailty and their application to spine surgeryPresentation P36. Abstract 131: The effect of prolonged sitting on muscle reflexes of the low backPresentation P37. Abstract 87: Implementing a rapid discharge pathway for adolescent idiopathic scoliosis in Canada. Can J Surg 2020. [DOI: 10.1503/cjs.014720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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Denyer R, Morris SR, Greeley B, Ferris JK, White K, Laule C, Boyd LA, Weber RC. Learning-Challenged Youth Show an Abnormal Relationship Between Fronto-Parietal Myelination and Mathematical Ability. J Neuroimaging 2020; 30:648-657. [PMID: 32533740 DOI: 10.1111/jon.12741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Revised: 05/08/2020] [Accepted: 05/25/2020] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND AND PURPOSE Differences in the microstructure of fronto-parietal white matter tracts have been associated with mathematical achievement. However, much of the supporting evidence relies on nonspecific diffusion-weighted magnetic resonance imaging, making it difficult to isolate the role of myelin in math ability. METHODS We used myelin water imaging to measure brain myelin. We related myelin water fraction (MWF) to Woodcock-Johnson III (WJ-III) basic math scores using region of interest (ROI) and tract-based spatial statistics (TBSS) analyses, in 14 typically developing and 36 learning challenged youth aged 9-17 years. RESULTS The ROI analysis found a positive relationship between fronto-parietal MWF and math in typically developing youth, but not in learning challenged youth. The relationship between fronto-parietal MWF and math observed in typically developing youth was fully mediated by age. No group differences in fronto-parietal MWF were found between typically developing and learning challenged youth. TBSS also found no group differences in MWF values. TBSS indicated math-MWF relationships extend beyond fronto-parietal tracts to descending and ascending projection tracts in typically developing youth. TBSS identified math-MWF relationships in the cerebral peduncles of learning challenged youth. CONCLUSIONS Our results suggest that in typically developing youth, brain myelination contributes to individual differences in basic math achievement. In contrast, youth with learning challenges appear to have less capacity to leverage myelin to improve math achievement.
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Affiliation(s)
- Ronan Denyer
- Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, Canada.,Graduate Program in Neuroscience, University of British Columbia, Vancouver, British Columbia, Canada
| | - Sarah R Morris
- Department of Physics & Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.,International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, British Columbia, Canada
| | - Brian Greeley
- Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, Canada
| | - Jennifer K Ferris
- Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, Canada
| | - Katherine White
- Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, Canada
| | - Cornelia Laule
- Department of Physics & Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.,International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, British Columbia, Canada.,Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Pathology & Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Lara A Boyd
- Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, Canada
| | - Rachel C Weber
- Department of Educational & Counselling Psychology, and Special Education, University of British Columbia, Vancouver, British Columbia, Canada
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Morris SR, Holmes RD, Dvorak AV, Liu H, Yoo Y, Vavasour IM, Mazabel S, Mädler B, Kolind SH, Li DKB, Siegel L, Beaulieu C, MacKay AL, Laule C. Brain Myelin Water Fraction and Diffusion Tensor Imaging Atlases for 9-10 Year-Old Children. J Neuroimaging 2020; 30:150-160. [PMID: 32064721 DOI: 10.1111/jon.12689] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Revised: 12/18/2019] [Accepted: 01/17/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND AND PURPOSE Myelin water imaging (MWI) and diffusion tensor imaging (DTI) provide information about myelin and axon-related brain microstructure, which can be useful for investigating normal brain development and many childhood brain disorders. While pediatric DTI atlases exist, there are no pediatric MWI atlases available for the 9-10 years old age group. As myelination and structural development occurs throughout childhood and adolescence, studies of pediatric brain pathologies must use age-specific MWI and DTI healthy control data. We created atlases of myelin water fraction (MWF) and DTI metrics for healthy children aged 9-10 years for use as normative data in pediatric neuroimaging studies. METHODS 3D-T1 , DTI, and MWI scans were acquired from 20 healthy children (mean age: 9.6 years, range: 9.2-10.3 years, 4 females). ANTs and FSL registration were used to create quantitative MWF and DTI atlases. Region of interest (ROI) analysis in nine white matter regions was used to compare pediatric MWF with adult MWF values from a recent study and to investigate the correlation between pediatric MWF and DTI metrics. RESULTS Adults had significantly higher MWF than the pediatric cohort in seven of the nine white matter ROIs, but not in the genu of the corpus callosum or the cingulum. In the pediatric data, MWF correlated significantly with mean diffusivity, but not with axial diffusivity, radial diffusivity, or fractional anisotropy. CONCLUSIONS Normative MWF and DTI metrics from a group of 9-10 year old healthy children provide a resource for comparison to pathologies. The age-specific atlases are ready for use in pediatric neuroimaging research and can be accessed: https://sourceforge.net/projects/pediatric-mri-myelin-diffusion/.
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Affiliation(s)
- Sarah R Morris
- Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada.,International Collaboration on Repair Discoveries, Vancouver, BC, Canada.,Department of Radiology, University of British Columbia, Vancouver, BC, Canada
| | | | - Adam V Dvorak
- Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada.,International Collaboration on Repair Discoveries, Vancouver, BC, Canada
| | - Hanwen Liu
- Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada.,International Collaboration on Repair Discoveries, Vancouver, BC, Canada
| | - Youngjin Yoo
- Medical Imaging Technologies, Siemens Healthineers, Princeton, NJ
| | - Irene M Vavasour
- Department of Radiology, University of British Columbia, Vancouver, BC, Canada
| | - Silvia Mazabel
- Educational and Counseling Psychology, and Special Education, University of British Columbia, Vancouver, BC, Canada
| | | | - Shannon H Kolind
- Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada.,International Collaboration on Repair Discoveries, Vancouver, BC, Canada.,Department of Radiology, University of British Columbia, Vancouver, BC, Canada.,Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - David K B Li
- Department of Radiology, University of British Columbia, Vancouver, BC, Canada.,Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Linda Siegel
- Educational and Counseling Psychology, and Special Education, University of British Columbia, Vancouver, BC, Canada
| | - Christian Beaulieu
- Department of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada
| | - Alex L MacKay
- Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada.,Department of Radiology, University of British Columbia, Vancouver, BC, Canada
| | - Cornelia Laule
- Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada.,International Collaboration on Repair Discoveries, Vancouver, BC, Canada.,Department of Radiology, University of British Columbia, Vancouver, BC, Canada.,Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
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Liu H, Xiang QS, Tam R, Dvorak AV, MacKay AL, Kolind SH, Traboulsee A, Vavasour IM, Li DKB, Kramer JK, Laule C. Myelin water imaging data analysis in less than one minute. Neuroimage 2020; 210:116551. [PMID: 31978542 DOI: 10.1016/j.neuroimage.2020.116551] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2019] [Revised: 12/21/2019] [Accepted: 01/14/2020] [Indexed: 12/11/2022] Open
Abstract
PURPOSE Based on a deep learning neural network (NN) algorithm, a super fast and easy to implement data analysis method was proposed for myelin water imaging (MWI) to calculate the myelin water fraction (MWF). METHODS A NN was constructed and trained on MWI data acquired by a 32-echo 3D gradient and spin echo (GRASE) sequence. Ground truth labels were created by regularized non-negative least squares (NNLS) with stimulated echo corrections. Voxel-wise GRASE data from 5 brains (4 healthy, 1 multiple sclerosis (MS)) were used for NN training. The trained NN was tested on 2 healthy brains, 1 MS brain with segmented lesions, 1 healthy spinal cord, and 1 healthy brain acquired from a different scanner. RESULTS Production of whole brain MWF maps in approximately 33 s can be achieved by a trained NN without graphics card acceleration. For all testing regions, no visual differences between NN and NNLS MWF maps were observed, and no obvious regional biases were found. Quantitatively, all voxels exhibited excellent agreement between NN and NNLS (all R2>0.98, p < 0.001, mean absolute error <0.01). CONCLUSION The time for accurate MWF calculation can be dramatically reduced to less than 1 min by the proposed NN, addressing one of the barriers facing future clinical feasibility of MWI.
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Affiliation(s)
- Hanwen Liu
- Physics & Astronomy, University of British Columbia, Canada; International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Canada
| | - Qing-San Xiang
- Physics & Astronomy, University of British Columbia, Canada; Radiology, University of British Columbia, Canada
| | - Roger Tam
- Radiology, University of British Columbia, Canada; Biomedical Engineering, University of British Columbia, Canada
| | - Adam V Dvorak
- Physics & Astronomy, University of British Columbia, Canada; International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Canada
| | - Alex L MacKay
- Physics & Astronomy, University of British Columbia, Canada; Radiology, University of British Columbia, Canada
| | - Shannon H Kolind
- Physics & Astronomy, University of British Columbia, Canada; International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Canada; Radiology, University of British Columbia, Canada; Medicine, University of British Columbia, Canada
| | | | - Irene M Vavasour
- International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Canada; Radiology, University of British Columbia, Canada
| | - David K B Li
- Radiology, University of British Columbia, Canada; Medicine, University of British Columbia, Canada
| | - John K Kramer
- International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Canada; Kinesiology, University of British Columbia, Canada
| | - Cornelia Laule
- Physics & Astronomy, University of British Columbia, Canada; International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Canada; Radiology, University of British Columbia, Canada; Pathology & Laboratory Medicine, University of British Columbia, Canada.
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Abel S, Vavasour I, Lee LE, Johnson P, Ackermans N, Chan J, Dvorak A, Schabas A, Wiggermann V, Tam R, Kuan AJ, Morrow SA, Wilken J, Laule C, Rauscher A, Bhan V, Sayao AL, Devonshire V, Li DK, Carruthers R, Traboulsee A, Kolind SH. Myelin Damage in Normal Appearing White Matter Contributes to Impaired Cognitive Processing Speed in Multiple Sclerosis. J Neuroimaging 2019; 30:205-211. [PMID: 31762132 DOI: 10.1111/jon.12679] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Revised: 10/30/2019] [Accepted: 11/01/2019] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND AND PURPOSE Cognitive impairment is a core symptom in multiple sclerosis (MS). Damage to normal appearing white matter (NAWM) is likely involved. We sought to determine if greater myelin heterogeneity in NAWM is associated with decreased cognitive performance in MS. METHODS A total of 27 participants with MS and 13 controls matched for age, sex, and education underwent myelin water imaging (MWI) from which the myelin water fraction (MWF) was calculated. Corpus callosum, superior longitudinal fasciculus, and cingulum were chosen as regions of interest (ROIs) a priori based on their involvement in MS-related cognitive impairment. Cognitive performance was assessed using the Symbol Digit Modalities Test (SDMT). Pearson ́s product moment correlations were performed to assess relationships between cognitive performance and myelin heterogeneity (variance of MWF within an ROI). RESULTS In MS, myelin heterogeneity in all three ROIs was significantly associated with performance on the SDMT. These correlations ranged from moderate (r = -.561) to moderately strong (r = -.654) and were highly significant (P values ranged from .001 to .0002). Conversely, myelin heterogeneity was not associated with SDMT performance in controls in any ROI (P > .108). CONCLUSION Increased myelin heterogeneity in NAWM is associated with decreased cognitive processing speed performance in MS.
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Affiliation(s)
- Shawna Abel
- Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - Irene Vavasour
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Lisa Eunyoung Lee
- Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - Poljanka Johnson
- Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - Nathalie Ackermans
- Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - Jillian Chan
- Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - Adam Dvorak
- Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada
| | - Alice Schabas
- Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - Vanessa Wiggermann
- Department of Physics and Astronomy and Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Roger Tam
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Annie J Kuan
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Sarah A Morrow
- Department of Clinical Neurological Sciences, University of Western Ontario, London, Ontario, Canada
| | - Jeffrey Wilken
- Department of Neurology and Washington Neuropsychology Research Group, Georgetown University Hospital, LLC, Fairfax, VA
| | - Cornelia Laule
- Department of Radiology Pathology & Laboratory Medicine, Physics & Astronomy and International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, British Columbia, Canada
| | - Alexander Rauscher
- Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - Virender Bhan
- Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - Ana-Luiza Sayao
- Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - Virginia Devonshire
- Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - David Kb Li
- Department of Radiology and Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - Robert Carruthers
- Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - Anthony Traboulsee
- Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - Shannon H Kolind
- Department of Medicine (Neurology), Radiology, Physics & Astronomy, University of British Columbia, Vancouver, British Columbia, Canada
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Liu H, Ljungberg E, Dvorak AV, Lee LE, Yik JT, MacMillan EL, Barlow L, Li DKB, Traboulsee A, Kolind SH, Kramer JLK, Laule C. Myelin Water Fraction and Intra/Extracellular Water Geometric Mean T 2 Normative Atlases for the Cervical Spinal Cord from 3T MRI. J Neuroimaging 2019; 30:50-57. [PMID: 31407400 DOI: 10.1111/jon.12659] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Revised: 07/19/2019] [Accepted: 07/23/2019] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND AND PURPOSE Acquiring and interpreting quantitative myelin-specific MRI data at an individual level is challenging because of technical difficulties and natural myelin variation in the population. To overcome these challenges, we used multiecho T2 myelin water imaging (MWI) to create T2 metric healthy population atlases that depict the mean and variation of myelin water fraction (MWF), and intra- and extracellular water mobility as described by geometric mean T2 (IEGMT2 ). METHODS Cervical cord MWI was performed at 3T on 20 healthy individuals (10M/10F, mean age: 36 years) and 3 relapsing remitting multiple sclerosis (RRMS) participants (1M/2F, age: 39/42/37 years). Anatomical data were collected for the purpose of image segmentation and registration. Atlases were created by coregistering and averaging T2 metrics from all controls. Voxel-wise z-score maps from 3 RRMS participants were produced to demonstrate the preliminary utility of the MWF and IEGMT2 atlases. RESULTS The average MWF atlas provides a representation of myelin in the spinal cord consistent with well-known spinal cord anatomical characteristics. The IEGMT2 atlas also depicted structural variations in the spinal cord. Z-score analysis illustrated distinct abnormalities in MWF and IEGMT2 in the 3 RRMS cases. CONCLUSIONS Our findings highlight the potential for using a quantitative T2 relaxation metric atlas to visualize and detect pathology in spinal cord. Our MWF and IEGMT2 atlases (URL: https://sourceforge.net/projects/mwi-spinal-cord-atlases/) can serve as normative references in the cervical spinal cord for other studies.
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Affiliation(s)
- Hanwen Liu
- Department of Physics & Astronomy, University of British Columbia, Vancouver, Canada.,International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, Canada
| | - Emil Ljungberg
- Department of Neuroimaging, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
| | - Adam V Dvorak
- Department of Physics & Astronomy, University of British Columbia, Vancouver, Canada.,International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, Canada
| | - Lisa Eunyoung Lee
- Department of Medicine, University of British Columbia, Vancouver, Canada
| | - Jackie T Yik
- Department of Physics & Astronomy, University of British Columbia, Vancouver, Canada.,International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, Canada
| | - Erin L MacMillan
- Philips, Markham, Canada.,School of Mechatronic Systems Engineering, Simon Fraser University, Canada.,Department of Radiology, University of British Columbia, Vancouver, Canada
| | | | - David K B Li
- Department of Medicine, University of British Columbia, Vancouver, Canada.,Department of Radiology, University of British Columbia, Vancouver, Canada
| | - Anthony Traboulsee
- Department of Medicine, University of British Columbia, Vancouver, Canada
| | - Shannon H Kolind
- Department of Physics & Astronomy, University of British Columbia, Vancouver, Canada.,International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, Canada.,Department of Medicine, University of British Columbia, Vancouver, Canada.,Department of Radiology, University of British Columbia, Vancouver, Canada
| | - John L K Kramer
- International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, Canada.,School of Kinesiology, University of British Columbia, Vancouver, Canada
| | - Cornelia Laule
- Department of Physics & Astronomy, University of British Columbia, Vancouver, Canada.,International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, Canada.,Department of Radiology, University of British Columbia, Vancouver, Canada.,Pathology & Laboratory Medicine, University of British Columbia, Vancouver, Canada
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Liu H, Rubino C, Dvorak AV, Jarrett M, Ljungberg E, Vavasour IM, Lee LE, Kolind SH, MacMillan EL, Traboulsee A, Lang DJ, Rauscher A, Li DKB, MacKay AL, Boyd LA, Kramer JLK, Laule C. Myelin Water Atlas: A Template for Myelin Distribution in the Brain. J Neuroimaging 2019; 29:699-706. [PMID: 31347238 DOI: 10.1111/jon.12657] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2019] [Revised: 06/28/2019] [Accepted: 07/06/2019] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND AND PURPOSE Myelin water imaging (MWI) is a magnetic resonance imaging technique that quantifies myelin in-vivo. Although MWI has been extensively applied to study myelin-related diseases in groups, clinical use in individual patients is challenging mainly due to population heterogeneity. The purpose of this study was twofold: (1) create a normative brain myelin water atlas depicting the population mean and regional variability of myelin content; and (2) apply the myelin atlas to assess the degree of demyelination in individuals with multiple sclerosis (MS). METHODS 3T MWI was performed on 50 healthy adults (25 M/25 F, mean age 25 years [range 17-42 years]). The myelin water atlas was created by averaging coregistered myelin water fraction (MWF) maps from all healthy individuals. To illustrate the preliminary utility of the atlas, white matter (WM) regional MWF variations were evaluated and voxel-wise z-score maps (z < -1.96) from the MWI of three MS participants were produced to assess individually the degree of demyelination. RESULTS The myelin water atlas demonstrated significant MWF variation across control WM. No significant MWF differences were found between male and female healthy participants. MS z-score maps revealed diffuse regions of demyelination in the two participants with Expanded Disability Status Scale (EDSS) = 2.0 but not in the participant with EDSS = 0. CONCLUSIONS The myelin water atlas can be used as a reference (URL: https://sourceforge.net/projects/myelin-water-atlas/) to demonstrate areas of demyelination in individual MS participants. Future studies will expand the atlas age range, account for education, and other variables that may affect myelination.
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Affiliation(s)
- Hanwen Liu
- Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.,International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, British Columbia, Canada
| | - Cristina Rubino
- Rehabilitation Sciences, University of British Columbia, Vancouver, British Columbia, Canada
| | - Adam V Dvorak
- Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.,International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, British Columbia, Canada
| | - Michael Jarrett
- Department of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada.,UBC MRI Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
| | - Emil Ljungberg
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Irene M Vavasour
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Lisa Eunyoung Lee
- Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Shannon H Kolind
- Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.,International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Erin L MacMillan
- UBC MRI Research Centre, University of British Columbia, Vancouver, British Columbia, Canada.,MR Clinical Science, Philips Healthcare Canada, Markham, Ontario, Canada.,ImageTech Lab, Simon Fraser University, Surrey, British Columbia, Canada
| | - Anthony Traboulsee
- Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Donna J Lang
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Alexander Rauscher
- Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada.,UBC MRI Research Centre, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - David K B Li
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Alexander L MacKay
- Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.,UBC MRI Research Centre, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Lara A Boyd
- Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada
| | - John L K Kramer
- International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Kinesiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Cornelia Laule
- Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.,International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Pathology & Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
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Cousyn L, Law-Ye B, Pyatigorskaya N, Debs R, Froissart R, Piraud M, Federico A, Salvatore S, Cerase A, Macário MC, Durães J, Kim SH, Adachi H, Audoin B, Ayrignac X, Da Y, Henderson R, La Piana R, Laule C, Nakamagoe K, Raininko R, Schols L, Sirrs SM, Viader F, Jastrzębski K, Leclercq D, Nadjar Y. Brain MRI features and scoring of leukodystrophy in adult-onset Krabbe disease. Neurology 2019; 93:e647-e652. [DOI: 10.1212/wnl.0000000000007943] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2018] [Accepted: 03/21/2019] [Indexed: 11/15/2022] Open
Abstract
ObjectiveTo perform a systematic analysis and scoring of brain MRI white matter hyperintensities (WMH) in adult-onset Krabbe disease.MethodsWe retrospectively collected basic clinical data and the first available brain MRI from patients with confirmed Krabbe disease with first clinical manifestations beyond 10 years of age. Data were obtained from our reference center for lysosomal diseases (n = 6) and from contacted authors of published articles describing patients with adult-onset Krabbe disease (n = 15). T2-weighted fluid-attenuated inversion recovery images of each patient were analyzed and scored using a radiologic score of WMH in a single center.ResultsThe corticospinal tract was always affected by WMH (100% of patients), however, with some distinctions along the tract: the precentral gyrus (100%), corona radiata (95%), and posterior internal capsule (81%) were highly abnormal, whereas the mesencephalon (57%), pons (52%), and medulla oblongata (5%) were less affected. WMH were also frequently present in the posterior lateral periventricular white matter (95%), optic radiations (86%), postcentral gyrus (71%), medial lemniscus (62%), and corpus callosum, especially in the isthmus (71%), whereas the genu was always normal. A few patients did not have the classical MRI pattern but extensive hyperintensities (n = 3), or patchy distribution of hyperintensities mimicking an acquired etiology (n = 2), or very subtle hyperintensities of the corticospinal tract (n = 1).ConclusionsWe specified the main locations of WMH, which were observed in the earliest stages of the disease and were also present in patients with atypical MRI pattern, highlighting the importance of radiologic features to guide the diagnosis.
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Sporn L, MacMillan EL, Ge R, Greenway K, Vila-Rodriguez F, Laule C. Longer Repetition Time Proton MR Spectroscopy Shows Increasing Hippocampal and Parahippocampal Metabolite Concentrations with Aging. J Neuroimaging 2019; 29:592-597. [PMID: 31273871 DOI: 10.1111/jon.12648] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Revised: 06/11/2019] [Accepted: 06/14/2019] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND AND PURPOSE Previous magnetic resonance spectroscopy (MRS) studies have concluded that hippocampal and parahippocampal metabolite concentrations remain stable during healthy adult aging. However, these studies used short repetition times (TR ≤ 2 seconds), which lead to incomplete longitudinal magnetization recovery, and thus, heavily T1 -weighted measurements. It is important to accurately characterize brain metabolites changes with age to enable appropriate interpretations of MRS findings in the context of neurodegenerative diseases. Our goal was to assess hippocampal brain metabolite concentrations in a large cohort of diversely aged healthy volunteers using a longer TR of 4 seconds. METHODS Left hippocampal MR spectra were collected from 38 healthy volunteers at 3T. Absolute metabolite concentrations were determined for total N-acetyl-aspartate (tNAA), total creatine (tCr), total choline (tCho), glutamate and glutamine (Glx), and myoinositol (mI). Individual partial correlations between each metabolite with age were assessed using demographic information and voxel compartmentation as confounders. RESULTS Hippocampal tNAA, tCr, tCho, and mI all increased with age (NAA: R2 = .17, P = .041; tCr: R2 = .45, P = .0002; tCho: R2 = .37, P = .001; mI: R2 = .44, P = .0003). There were no relationships between age and signal to noise ratio, linewidth, or scan date, indicating the correlations were not confounded by spectral quality. Furthermore, we did not observe a trend with age in the voxel tissue compartmentations. CONCLUSIONS We observed increases in hippocampal/parahippocampal metabolite concentrations with age, a finding that is in contrast to previous literature. Our findings illustrate the importance of using a sufficiently long TR in MRS to avoid T1 -relaxation effects influencing the measurement of absolute metabolite concentrations.
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Affiliation(s)
- Leo Sporn
- Department of Physics & Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.,International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, British Columbia, Canada
| | - Erin L MacMillan
- School of Mechatronic Systems Engineering, Faculty of Applied Sciences, Simon Fraser University, Vancouver, British Columbia, Canada.,Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada.,Philips, Markham, Ontario, Canada
| | - Ruiyang Ge
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Kyle Greenway
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Fidel Vila-Rodriguez
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Cornelia Laule
- Department of Physics & Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.,International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, British Columbia, Canada.,Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada.,Pathology & Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
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Dvorak AV, Ljungberg E, Vavasour IM, Liu H, Johnson P, Rauscher A, Kramer JLK, Tam R, Li DKB, Laule C, Barlow L, Briemberg H, MacKay AL, Traboulsee A, Kozlowski P, Cashman N, Kolind SH. Rapid myelin water imaging for the assessment of cervical spinal cord myelin damage. Neuroimage Clin 2019; 23:101896. [PMID: 31276928 PMCID: PMC6611998 DOI: 10.1016/j.nicl.2019.101896] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Revised: 06/08/2019] [Accepted: 06/11/2019] [Indexed: 12/13/2022]
Abstract
Background Rapid myelin water imaging (MWI) using a combined gradient and spin echo (GRASE) sequence can produce myelin specific metrics for the human brain. Spinal cord MWI could be similarly useful, but technical challenges have hindered routine application. GRASE rapid MWI was recently successfully implemented for imaging of healthy cervical spinal cord and may complement other advanced imaging methods, such as diffusion tensor imaging (DTI) and quantitative T1 (qT1). Objective To demonstrate the feasibility of cervical cord GRASE rapid MWI in multiple sclerosis (MS), primary lateral sclerosis (PLS) and neuromyelitis optica spectrum disorder (NMO), with comparison to DTI and qT1 metrics. Methods GRASE MWI, DTI and qT1 data were acquired in 2 PLS, 1 relapsing-remitting MS (RRMS), 1 primary-progressive MS (PPMS) and 2 NMO subjects, as well as 6 age (±3 yrs) and sex matched healthy controls (HC). Internal cord structure guided template registrations, used for region of interest (ROI) analysis. Z score maps were calculated for the difference between disease subject and mean HC metric values. Results PLS subjects had low myelin water fraction (MWF) in the lateral funiculi compared to HC. RRMS subject MWF was heterogeneous within the cord. The PPMS subject showed no trends in ROI results but had a region of low MWF Z score corresponding to a focal lesion. The NMO subject with a longitudinally extensive transverse myelitis lesion had low values for whole cord mean MWF of 12.8% compared to 24.3% (standard deviation 2.2%) for HC. The NMO subject without lesions also had low MWF compared to HC. DTI and qT1 metrics showed similar trends, corroborating the MWF results and providing complementary information. Conclusion GRASE is sufficiently sensitive to detect decreased myelin within MS spinal cord plaques, NMO lesions, and PLS diffuse spinal cord injury. Decreased MWF in PLS is consistent with demyelination secondary to motor neuron degeneration. GRASE MWI is a feasible method for rapid assessment of myelin content in the cervical spinal cord and provides complementary information to that of DTI and qT1 measures. Downstream myelin changes in motor tracts of primary lateral sclerosis spinal cord. Low myelin water fraction in multiple sclerosis and neuromyelitis optica cord lesions. Diffuse demyelination evidence in neuromyelitis optica normal-appearing white matter. Myelin water imaging provides complementary information to diffusion and T1 metrics.
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Affiliation(s)
- Adam V Dvorak
- Physics and Astronomy, University of British Columbia, 6224 Agricultural Road, Vancouver, BC V6T 1Z1, Canada; International Collaboration on Repair Discoveries, University of British Columbia, 818 West 10th Avenue, Vancouver, BC V5Z 1M9, Canada.
| | - Emil Ljungberg
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park PO89, London SE5 8AF, United Kingdom
| | - Irene M Vavasour
- Radiology, University of British Columbia, 2775 Laurel Street, Vancouver, BC V5Z 1M9, Canada
| | - Hanwen Liu
- Physics and Astronomy, University of British Columbia, 6224 Agricultural Road, Vancouver, BC V6T 1Z1, Canada; International Collaboration on Repair Discoveries, University of British Columbia, 818 West 10th Avenue, Vancouver, BC V5Z 1M9, Canada
| | - Poljanka Johnson
- Physics and Astronomy, University of British Columbia, 6224 Agricultural Road, Vancouver, BC V6T 1Z1, Canada
| | - Alexander Rauscher
- Physics and Astronomy, University of British Columbia, 6224 Agricultural Road, Vancouver, BC V6T 1Z1, Canada; Radiology, University of British Columbia, 2775 Laurel Street, Vancouver, BC V5Z 1M9, Canada; Pediatrics, University of British Columbia, 4480 Oak Street BC Children's Hospital Vancouver, BC V6H 3V4, Canada; UBC MRI Research Centre, University of British Columbia, 2211 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada
| | - John L K Kramer
- International Collaboration on Repair Discoveries, University of British Columbia, 818 West 10th Avenue, Vancouver, BC V5Z 1M9, Canada; School of Kinesiology, University of British Columbia, 210-6081 University Boulevard, Vancouver, BC V6T 1Z1, Canada
| | - Roger Tam
- Radiology, University of British Columbia, 2775 Laurel Street, Vancouver, BC V5Z 1M9, Canada; School of Biomedical Engineering, University of British Columbia, 2222 Health Sciences Mall, Vancouver, BC V6T 1Z3, Canada
| | - David K B Li
- Radiology, University of British Columbia, 2775 Laurel Street, Vancouver, BC V5Z 1M9, Canada; Medicine (Neurology), University of British Columbia, 2211 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada; UBC MRI Research Centre, University of British Columbia, 2211 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada
| | - Cornelia Laule
- Physics and Astronomy, University of British Columbia, 6224 Agricultural Road, Vancouver, BC V6T 1Z1, Canada; Radiology, University of British Columbia, 2775 Laurel Street, Vancouver, BC V5Z 1M9, Canada; International Collaboration on Repair Discoveries, University of British Columbia, 818 West 10th Avenue, Vancouver, BC V5Z 1M9, Canada; Pathology & Laboratory Medicine, University of British Columbia, 2211 Wesbrook Mall, Vancouver, BC V6T 2B5, Canada
| | - Laura Barlow
- Radiology, University of British Columbia, 2775 Laurel Street, Vancouver, BC V5Z 1M9, Canada; UBC MRI Research Centre, University of British Columbia, 2211 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada
| | - Hannah Briemberg
- Medicine (Neurology), University of British Columbia, 2211 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada
| | - Alex L MacKay
- Physics and Astronomy, University of British Columbia, 6224 Agricultural Road, Vancouver, BC V6T 1Z1, Canada; Radiology, University of British Columbia, 2775 Laurel Street, Vancouver, BC V5Z 1M9, Canada
| | - Anthony Traboulsee
- Medicine (Neurology), University of British Columbia, 2211 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada
| | - Piotr Kozlowski
- Physics and Astronomy, University of British Columbia, 6224 Agricultural Road, Vancouver, BC V6T 1Z1, Canada; Radiology, University of British Columbia, 2775 Laurel Street, Vancouver, BC V5Z 1M9, Canada; International Collaboration on Repair Discoveries, University of British Columbia, 818 West 10th Avenue, Vancouver, BC V5Z 1M9, Canada; UBC MRI Research Centre, University of British Columbia, 2211 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada
| | - Neil Cashman
- Medicine (Neurology), University of British Columbia, 2211 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada
| | - Shannon H Kolind
- Physics and Astronomy, University of British Columbia, 6224 Agricultural Road, Vancouver, BC V6T 1Z1, Canada; Radiology, University of British Columbia, 2775 Laurel Street, Vancouver, BC V5Z 1M9, Canada; International Collaboration on Repair Discoveries, University of British Columbia, 818 West 10th Avenue, Vancouver, BC V5Z 1M9, Canada; Medicine (Neurology), University of British Columbia, 2211 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada
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Graf C, MacMillan EL, Fu E, Harris T, Traboulsee A, Vavasour IM, MacKay AL, Mädler B, Li DKB, Laule C. Intra- and inter-site reproducibility of human brain single-voxel proton MRS at 3 T. NMR Biomed 2019; 32:e4083. [PMID: 30889311 DOI: 10.1002/nbm.4083] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2018] [Revised: 01/24/2019] [Accepted: 01/28/2019] [Indexed: 06/09/2023]
Abstract
INTRODUCTION Clinical trials that involve participants from multiple sites necessitate standardized and reliable quantitative MRI outcomes to detect significant group differences over time. Metabolite concentrations measured by proton MRS (1 H-MRS) provide valuable information about in vivo metabolism of the central nervous system, but can vary based on the acquisition and quantitation methods used by different MR sites. Therefore, we investigated the intra- and inter-site reproducibility of metabolite concentrations measured by 1 H-MRS on MRI scanners from a single manufacturer across six sites. METHODS Five healthy controls were scanned twice within 24 h at six participating 3 T MR sites with large single-voxel PRESS (TE/TR/NSA = 36 ms/4000 ms/56) and anatomical images for voxel positioning and correction of partial volume relaxation. Absolute metabolite concentrations were calculated relative to the T1 and T2 relaxation corrected signal from water. Intra- and inter-site reproducibility was assessed using Bland-Altman plots and intra- and inter-site coefficient of variation (CoV) as well as intra- and inter-site intra-class correlation coefficient. RESULTS The median intra-site CoVs for the five major metabolite concentrations ([NAA], [tCr], [Glu], [tCho] and [Ins]) were between 2.5 and 5.3%. Inter-site CoVs were also low, with the median CoVs for all metabolites between 3.7 and 6.4%. Metabolite concentrations were robust to small inconsistencies in voxel placement and site was not the driving factor in the variance of the measurement of any metabolite concentration. Between-subject differences accounted for the majority of the concentration variability for creatine, choline and myo-inositol (42-65% of the variance). CONCLUSION A large single-voxel 1 H-MRS acquisition from a single manufacturer's MRI scanner is highly reproducible and reliable for multi-site clinical trials.
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Affiliation(s)
- Carina Graf
- Physics & Astronomy, University of British Columbia, Vancouver, British Columbia, Canada
- International Collaboration on Repair Discoveries (ICORD), Vancouver, British Columbia, Canada
| | - Erin L MacMillan
- MR Clinical Science, Philips Canada, Markham, Ontario, Canada
- UBC MRI Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
- ImageTech Lab, Simon Fraser University, Surrey, British Columbia, Canada
| | - Eric Fu
- Statistics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Trudy Harris
- UBC MRI Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
- Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Anthony Traboulsee
- Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - Irene M Vavasour
- UBC MRI Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
- Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Alex L MacKay
- Physics & Astronomy, University of British Columbia, Vancouver, British Columbia, Canada
- UBC MRI Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
- Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - David K B Li
- UBC MRI Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
- Radiology, University of British Columbia, Vancouver, British Columbia, Canada
- Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - Cornelia Laule
- Physics & Astronomy, University of British Columbia, Vancouver, British Columbia, Canada
- International Collaboration on Repair Discoveries (ICORD), Vancouver, British Columbia, Canada
- Radiology, University of British Columbia, Vancouver, British Columbia, Canada
- Pathology & Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
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Ciccarelli O, Cohen JA, Reingold SC, Weinshenker BG, Amato MP, Banwell B, Barkhof F, Bebo B, Becher B, Bethoux F, Brandt A, Brownlee W, Calabresi P, Chatway J, Chien C, Chitnis T, Ciccarelli O, Cohen J, Comi G, Correale J, De Sèze J, De Stefano N, Fazekas F, Flanagan E, Freedman M, Fujihara K, Galetta S, Goldman M, Greenberg B, Hartung HP, Hemmer B, Henning A, Izbudak I, Kappos L, Lassmann H, Laule C, Levy M, Lublin F, Lucchinetti C, Lukas C, Marrie RA, Miller A, Miller D, Montalban X, Mowry E, Ourselin S, Paul F, Pelletier D, Ranjeva JP, Reich D, Reingold S, Rocca MA, Rovira A, Schlaerger R, Soelberg Sorensen P, Sormani M, Stuve O, Thompson A, Tintoré M, Traboulsee A, Trapp B, Trojano M, Uitdehaag B, Vukusic S, Waubant E, Weinshenker B, Wheeler-Kingshott CG, Xu J. Spinal cord involvement in multiple sclerosis and neuromyelitis optica spectrum disorders. Lancet Neurol 2019; 18:185-197. [DOI: 10.1016/s1474-4422(18)30460-5] [Citation(s) in RCA: 82] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2018] [Revised: 11/09/2018] [Accepted: 11/14/2018] [Indexed: 12/13/2022]
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Sharma S, Laule C, Moore GRW, Li DKB, Zhang Y. Correlating new directional measures of myelin and axonal integrity in T2-weighted MRI with quantitative histology in multiple sclerosis. J Neurosci Methods 2019; 311:369-376. [PMID: 30240805 DOI: 10.1016/j.jneumeth.2018.09.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2018] [Revised: 09/17/2018] [Accepted: 09/17/2018] [Indexed: 10/28/2022]
Abstract
BACKGROUND Imaging measurement of structure alignment has shown increasing importance in determining tissue properties. It is not known if a similar ability for characterizing neuropathology exists. NEW METHODS This study aimed to validate a new alignment-assessing method for measuring myelin and axonal properties using quantitative histological metrics. The new method involved analysis of the Fourier transform (FT) power spectrum in standard magnetic resonance imaging (MRI). T2-weighted MRI were collected from 10 post-mortem multiple sclerosis (MS) brain samples. Three tissue types were examined: lesions, diffusely abnormal white matter, and normal appearing white matter. MRI analysis included computing the FT power spectrum; extracting alignment histograms; and calculating dominant orientation and alignment complexity (angular entropy). Post MRI, the brain samples were processed for myelin and axonal staining, and the stained images were used to derive quantitative orientation measures using structure tensor analysis for MRI comparison. RESULTS There were significant differences in orientation metrics between tissue types in both MRI and histology, and MRI measurements correlated strongly with histological indices. Moreover, the joint effect of myelin and axonal entropy explained over 95% of the variance of MRI angular entropy. COMPARISON WITH EXISTING METHOD There is no established method for characterizing myelin and axonal pathology using standard MRI. Advanced MRI methods have the potential to do this but are still in research development and are not yet routinely acquired in clinical practice. CONCLUSIONS Alignment measurement using clinical MRI scans may become a valuable new method for characterizing myelin and axonal properties in MS patients.
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Affiliation(s)
- Shrushrita Sharma
- Department of Radiology, University of Calgary, Alberta, Canada; Department of Clinical Neurosciences, University of Calgary, Alberta, Canada; Hotchkiss Brain Institute, University of Calgary, Alberta, Canada
| | - Cornelia Laule
- Department of Radiology, University of British Columbia, British Columbia, Canada; Department of Pathology and Laboratory Medicine, University of British Columbia, British Columbia, Canada; International Collaboration on Repair Discoveries (ICORD), University of British Columbia, British Columbia, Canada; Department of Physics & Astronomy, University of British Columbia, British Columbia, Canada
| | - G R Wayne Moore
- Department of Pathology and Laboratory Medicine, University of British Columbia, British Columbia, Canada; International Collaboration on Repair Discoveries (ICORD), University of British Columbia, British Columbia, Canada
| | - David K B Li
- Department of Radiology, University of British Columbia, British Columbia, Canada
| | - Yunyan Zhang
- Department of Radiology, University of Calgary, Alberta, Canada; Department of Clinical Neurosciences, University of Calgary, Alberta, Canada; Hotchkiss Brain Institute, University of Calgary, Alberta, Canada.
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Luczynski P, Laule C, Hsiung GYR, Moore GW, Tremlett H. Coexistence of Multiple Sclerosis and Alzheimer's disease: A review. Mult Scler Relat Disord 2019; 27:232-238. [DOI: 10.1016/j.msard.2018.10.109] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2018] [Revised: 08/21/2018] [Accepted: 10/26/2018] [Indexed: 12/17/2022]
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