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Solanky BS, John NA, DeAngelis F, Stutters J, Prados F, Schneider T, Parker RA, Weir CJ, Monteverdi A, Plantone D, Doshi A, MacManus D, Marshall I, Barkhof F, Gandini Wheeler-Kingshott CAM, Chataway J. NAA is a Marker of Disability in Secondary-Progressive MS: A Proton MR Spectroscopic Imaging Study. AJNR Am J Neuroradiol 2020; 41:2209-2218. [PMID: 33154071 DOI: 10.3174/ajnr.a6809] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Accepted: 07/24/2020] [Indexed: 12/20/2022]
Abstract
BACKGROUND AND PURPOSE The secondary progressive phase of multiple sclerosis is characterised by disability progression due to processes that lead to neurodegeneration. Surrogate markers such as those derived from MRI are beneficial in understanding the pathophysiology that drives disease progression and its relationship to clinical disability. We undertook a 1H-MRS imaging study in a large secondary progressive MS (SPMS) cohort, to examine whether metabolic markers of brain injury are associated with measures of disability, both physical and cognitive. MATERIALS AND METHODS A cross-sectional analysis of individuals with secondary-progressive MS was performed in 119 participants. They underwent 1H-MR spectroscopy to obtain estimated concentrations and ratios to total Cr for total NAA, mIns, Glx, and total Cho in normal-appearing WM and GM. Clinical outcome measures chosen were the following: Paced Auditory Serial Addition Test, Symbol Digit Modalities Test, Nine-Hole Peg Test, Timed 25-foot Walk Test, and the Expanded Disability Status Scale. The relationship between these neurometabolites and clinical disability measures was initially examined using Spearman rank correlations. Significant associations were then further analyzed in multiple regression models adjusting for age, sex, disease duration, T2 lesion load, normalized brain volume, and occurrence of relapses in 2 years preceding study entry. RESULTS Significant associations, which were then confirmed by multiple linear regression, were found in normal-appearing WM for total NAA (tNAA)/total Cr (tCr) and the Nine-Hole Peg Test (ρ = 0.23; 95% CI, 0.06-0.40); tNAA and tNAA/tCr and the Paced Auditory Serial Addition Test (ρ = 0.21; 95% CI, 0.03-0.38) (ρ = 0.19; 95% CI, 0.01-0.36); mIns/tCr and the Paced Auditory Serial Addition Test, (ρ = -0.23; 95% CI, -0.39 to -0.05); and in GM for tCho and the Paced Auditory Serial Addition Test (ρ = -0.24; 95% CI, -0.40 to -0.06). No other GM or normal-appearing WM relationships were found with any metabolite, with associations found during initial correlation testing losing significance after multiple linear regression analysis. CONCLUSIONS This study suggests that metabolic markers of neuroaxonal integrity and astrogliosis in normal-appearing WM and membrane turnover in GM may act as markers of disability in secondary-progressive MS.
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Affiliation(s)
- B S Solanky
- From the Department of Neuroinflammation (B.S.S., N.A.J., F.D., J.S., F.P., D.P., A.D., D.M., C.A.M.G.W.-K., J.C.), Faculty of Brain Sciences, Queen Square Multiple Sclerosis Centre, UCL Queen Square Institute of Neurology
| | - N A John
- From the Department of Neuroinflammation (B.S.S., N.A.J., F.D., J.S., F.P., D.P., A.D., D.M., C.A.M.G.W.-K., J.C.), Faculty of Brain Sciences, Queen Square Multiple Sclerosis Centre, UCL Queen Square Institute of Neurology
| | - F DeAngelis
- From the Department of Neuroinflammation (B.S.S., N.A.J., F.D., J.S., F.P., D.P., A.D., D.M., C.A.M.G.W.-K., J.C.), Faculty of Brain Sciences, Queen Square Multiple Sclerosis Centre, UCL Queen Square Institute of Neurology
| | - J Stutters
- From the Department of Neuroinflammation (B.S.S., N.A.J., F.D., J.S., F.P., D.P., A.D., D.M., C.A.M.G.W.-K., J.C.), Faculty of Brain Sciences, Queen Square Multiple Sclerosis Centre, UCL Queen Square Institute of Neurology
| | - F Prados
- From the Department of Neuroinflammation (B.S.S., N.A.J., F.D., J.S., F.P., D.P., A.D., D.M., C.A.M.G.W.-K., J.C.), Faculty of Brain Sciences, Queen Square Multiple Sclerosis Centre, UCL Queen Square Institute of Neurology
- Centre for Medical Image Computing (F.P., F.B.), Department of Medical Physics and Biomedical Engineering, University College London, London, UK
- Universitat Oberta de Catalunya (F.P.), Barcelona, Spain
| | | | - R A Parker
- Edinburgh Clinical Trials Unit (R.A.P., C.J.W.), Usher Institute
| | - C J Weir
- Edinburgh Clinical Trials Unit (R.A.P., C.J.W.), Usher Institute
| | - A Monteverdi
- Department of Brain and Behavioural Sciences (A.M., C.A.M.G.W.-K.), University of Pavia, Pavia, Italy
| | - D Plantone
- From the Department of Neuroinflammation (B.S.S., N.A.J., F.D., J.S., F.P., D.P., A.D., D.M., C.A.M.G.W.-K., J.C.), Faculty of Brain Sciences, Queen Square Multiple Sclerosis Centre, UCL Queen Square Institute of Neurology
| | - A Doshi
- From the Department of Neuroinflammation (B.S.S., N.A.J., F.D., J.S., F.P., D.P., A.D., D.M., C.A.M.G.W.-K., J.C.), Faculty of Brain Sciences, Queen Square Multiple Sclerosis Centre, UCL Queen Square Institute of Neurology
| | - D MacManus
- From the Department of Neuroinflammation (B.S.S., N.A.J., F.D., J.S., F.P., D.P., A.D., D.M., C.A.M.G.W.-K., J.C.), Faculty of Brain Sciences, Queen Square Multiple Sclerosis Centre, UCL Queen Square Institute of Neurology
| | - I Marshall
- Centre for Clinical Brain Sciences (I.M.), University of Edinburgh, Edinburgh, UK
| | - F Barkhof
- Centre for Medical Image Computing (F.P., F.B.), Department of Medical Physics and Biomedical Engineering, University College London, London, UK
- National Institute for Health Research (F.B.), University College London Hospitals Biomedical Research Centre, London, UK
- Department of Radiology and Nuclear Medicine (F.B., J.C.), MS Center Amsterdam, Amsterdam, the Netherlands
| | - C A M Gandini Wheeler-Kingshott
- From the Department of Neuroinflammation (B.S.S., N.A.J., F.D., J.S., F.P., D.P., A.D., D.M., C.A.M.G.W.-K., J.C.), Faculty of Brain Sciences, Queen Square Multiple Sclerosis Centre, UCL Queen Square Institute of Neurology
- Brain MRI 3T Research Center (C.A.M.G.W.-K.), Scientific Institute for Research, Hospitalization and Healthcare Mondino National Neurological Institute Foundation, Pavia, Italy
- Department of Brain and Behavioural Sciences (A.M., C.A.M.G.W.-K.), University of Pavia, Pavia, Italy
| | - J Chataway
- From the Department of Neuroinflammation (B.S.S., N.A.J., F.D., J.S., F.P., D.P., A.D., D.M., C.A.M.G.W.-K., J.C.), Faculty of Brain Sciences, Queen Square Multiple Sclerosis Centre, UCL Queen Square Institute of Neurology
- Department of Radiology and Nuclear Medicine (F.B., J.C.), MS Center Amsterdam, Amsterdam, the Netherlands
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2
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Swanberg KM, Landheer K, Pitt D, Juchem C. Quantifying the Metabolic Signature of Multiple Sclerosis by in vivo Proton Magnetic Resonance Spectroscopy: Current Challenges and Future Outlook in the Translation From Proton Signal to Diagnostic Biomarker. Front Neurol 2019; 10:1173. [PMID: 31803127 PMCID: PMC6876616 DOI: 10.3389/fneur.2019.01173] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Accepted: 10/21/2019] [Indexed: 01/03/2023] Open
Abstract
Proton magnetic resonance spectroscopy (1H-MRS) offers a growing variety of methods for querying potential diagnostic biomarkers of multiple sclerosis in living central nervous system tissue. For the past three decades, 1H-MRS has enabled the acquisition of a rich dataset suggestive of numerous metabolic alterations in lesions, normal-appearing white matter, gray matter, and spinal cord of individuals with multiple sclerosis, but this body of information is not free of seeming internal contradiction. The use of 1H-MRS signals as diagnostic biomarkers depends on reproducible and generalizable sensitivity and specificity to disease state that can be confounded by a multitude of influences, including experiment group classification and demographics; acquisition sequence; spectral quality and quantifiability; the contribution of macromolecules and lipids to the spectroscopic baseline; spectral quantification pipeline; voxel tissue and lesion composition; T1 and T2 relaxation; B1 field characteristics; and other features of study design, spectral acquisition and processing, and metabolite quantification about which the experimenter may possess imperfect or incomplete information. The direct comparison of 1H-MRS data from individuals with and without multiple sclerosis poses a special challenge in this regard, as several lines of evidence suggest that experimental cohorts may differ significantly in some of these parameters. We review the existing findings of in vivo1H-MRS on central nervous system metabolic abnormalities in multiple sclerosis and its subtypes within the context of study design, spectral acquisition and processing, and metabolite quantification and offer an outlook on technical considerations, including the growing use of machine learning, by future investigations into diagnostic biomarkers of multiple sclerosis measurable by 1H-MRS.
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Affiliation(s)
- Kelley M Swanberg
- Department of Biomedical Engineering, Columbia University Fu Foundation School of Engineering and Applied Science, New York, NY, United States
| | - Karl Landheer
- Department of Biomedical Engineering, Columbia University Fu Foundation School of Engineering and Applied Science, New York, NY, United States
| | - David Pitt
- Department of Neurology, Yale University School of Medicine, New Haven, CT, United States
| | - Christoph Juchem
- Department of Biomedical Engineering, Columbia University Fu Foundation School of Engineering and Applied Science, New York, NY, United States.,Department of Radiology, Columbia University College of Physicians and Surgeons, New York, NY, United States
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Marshall I, Thrippleton MJ, Bastin ME, Mollison D, Dickie DA, Chappell FM, Semple SIK, Cooper A, Pavitt S, Giovannoni G, Wheeler-Kingshott CAMG, Solanky BS, Weir CJ, Stallard N, Hawkins C, Sharrack B, Chataway J, Connick P, Chandran S. Characterisation of tissue-type metabolic content in secondary progressive multiple sclerosis: a magnetic resonance spectroscopic imaging study. J Neurol 2018; 265:1795-1802. [PMID: 29846780 PMCID: PMC6060762 DOI: 10.1007/s00415-018-8903-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2018] [Revised: 05/07/2018] [Accepted: 05/09/2018] [Indexed: 12/28/2022]
Abstract
Proton magnetic resonance spectroscopy yields metabolic information and has proved to be a useful addition to structural imaging in neurological diseases. We applied short-echo time Spectroscopic Imaging in a cohort of 42 patients with secondary progressive multiple sclerosis (SPMS). Linear modelling with respect to brain tissue type yielded metabolite levels that were significantly different in white matter lesions compared with normal-appearing white matter, suggestive of higher myelin turnover (higher choline), higher metabolic rate (higher creatine) and increased glial activity (higher myo-inositol) within the lesions. These findings suggest that the lesions have ongoing cellular activity that is not consistent with the usual assumption of ‘chronic’ lesions in SPMS, and may represent a target for repair therapies.
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Affiliation(s)
- Ian Marshall
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
| | | | - Mark E Bastin
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Daisy Mollison
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - David A Dickie
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.,Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | | | - Scott I K Semple
- Centre for Cardiovascular Sciences, University of Edinburgh, Edinburgh, UK
| | - Annette Cooper
- Edinburgh Imaging QMRI Facility, University of Edinburgh, Edinburgh, UK
| | - Sue Pavitt
- Dental Translational and Clinical Research Unit, School of Dentistry, Faculty of Medicine and Health, University of Leeds, Leeds, UK
| | - Gavin Giovannoni
- Department of Neurology, Barts and the London NHS Trust, London, UK
| | - Claudia A M Gandini Wheeler-Kingshott
- UCL Institute of Neurology, Queen Square MS Centre, 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
| | - Bhavana S Solanky
- UCL Institute of Neurology, Queen Square MS Centre, University College London, London, UK
| | - Christopher J Weir
- Edinburgh Clinical Trials Unit, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Nigel Stallard
- Division of Health Sciences, University of Warwick, Warwick, UK
| | - Clive Hawkins
- Institute for Science and Technology in Medicine, Keele University, Newcastle, UK
| | - Basil Sharrack
- Academic Department of Neuroscience, The Sheffield NIHR Translational Neuroscience Biomedical Research Centre, University of Sheffield, Sheffield, UK
| | - Jeremy Chataway
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, University College London, London, UK
| | - Peter Connick
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
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4
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Khan O, Seraji-Bozorgzad N, Bao F, Razmjou S, Caon C, Santiago C, Latif Z, Aronov R, Zak I, Ashtamker N, Kolodny S, Ford C, Sidi Y. The Relationship Between Brain MR Spectroscopy and Disability in Multiple Sclerosis: 20-Year Data from the U.S. Glatiramer Acetate Extension Study. J Neuroimaging 2016; 27:97-106. [PMID: 27214389 PMCID: PMC5248608 DOI: 10.1111/jon.12358] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2016] [Accepted: 04/06/2016] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND AND PURPOSE Conventional MRI techniques do not necessarily provide information about multiple sclerosis (MS) disease pathology or progression. Nonconventional MRI techniques, including proton magnetic resonance spectroscopy (1H‐MRS), are increasingly used to improve the qualitative and quantitative specificity of MR images. This study explores potential correlations between MRI measures of disease and disability progression as measured by the Expanded Disability Status Scale (EDSS), Functional Systems (FS), and ambulation index scores in a unique cohort of MS patients treated with glatiramer acetate that has been closely monitored for over 20 years. METHODS This was a multicenter, open‐label, cross‐sectional MRI substudy among participants in the GA‐9004 open‐label extension of the 36‐month, double‐blind GA‐9001 study, timed to coincide with the prospectively planned 20‐year clinical exam. RESULTS Of 64 patients who participated in the MRI substudy, results are presented for the 39 patients (61%) who had a 1H‐MRS assessment at 20 years of treatment. Both total N‐acetylaspartate relative to total creatinine (tNAA/tCr) concentration ratio and T1 lesion volume were found to be robustly associated with disability levels with different statistical approaches. Gray matter (GM) volume was found to be a more consistent parameter than white matter (WM) volume for disability allocation. The elastic net algorithm showed a trade‐off between WM and GM volumes for disability estimation when different disability definitions were used. CONCLUSIONS Among patients with MS receiving long‐term glatiramer acetate therapy, consistent effects on disability levels indicated by EDSS and pyramidal FS score thresholds were found for tNAA/tCr concentration ratio and T1 lesion volume.
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Affiliation(s)
- Omar Khan
- Multiple Sclerosis Center, Wayne State University School of Medicine, Detroit, MI.,The Sastry Foundation Advanced Imaging Laboratory, Wayne State University School of Medicine, Detroit, MI
| | | | - Fen Bao
- The Sastry Foundation Advanced Imaging Laboratory, Wayne State University School of Medicine, Detroit, MI
| | - Sara Razmjou
- Multiple Sclerosis Center, Wayne State University School of Medicine, Detroit, MI
| | - Christina Caon
- Multiple Sclerosis Center, Wayne State University School of Medicine, Detroit, MI
| | - Carla Santiago
- Multiple Sclerosis Center, Wayne State University School of Medicine, Detroit, MI
| | - Zahid Latif
- Department of Diagnostic Radiology, Wayne State University School of Medicine, Detroit, MI
| | - Rimma Aronov
- Department of Diagnostic Radiology, Wayne State University School of Medicine, Detroit, MI
| | - Imad Zak
- Department of Diagnostic Radiology, Wayne State University School of Medicine, Detroit, MI
| | | | - Scott Kolodny
- Multiple Sclerosis Center, Wayne State University School of Medicine, Detroit, MI.,Teva Pharmaceutical Industries, Cleveland, OH
| | - Corey Ford
- University of New Mexico School of Medicine, Albuquerque, NM
| | - Yulia Sidi
- Teva Pharmaceutical Industries, Netanya, Israel
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5
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Wu X, Hanson LG, Skimminge A, Sorensen PS, Paulson OB, Mathiesen HK, Blinkenberg M. CorticalN-acetyl aspartate is a predictor of long-term clinical disability in multiple sclerosis. Neurol Res 2014; 36:701-8. [DOI: 10.1179/1743132813y.0000000312] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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6
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Filippi M, Charil A, Rovaris M, Absinta M, Rocca MA. Insights from magnetic resonance imaging. HANDBOOK OF CLINICAL NEUROLOGY 2014; 122:115-149. [PMID: 24507516 DOI: 10.1016/b978-0-444-52001-2.00006-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
Recent years have witnessed impressive advancements in the use of magnetic resonance imaging (MRI) for the assessment of patients with multiple sclerosis (MS). Complementary to the clinical evaluation, conventional MRI (cMRI) provides crucial pieces of information for the diagnosis of MS, the understanding of its natural history, and monitoring the efficacy of experimental treatments. Measures derived from cMRI present clear advantages over the clinical assessment, including their more objective nature and an increased sensitivity to MS-related changes. However, the correlation between these measures and the clinical manifestations of the disease remains weak, and this can be explained, at least partially, by the limited ability of cMRI to characterize and quantify the heterogeneous features of MS pathology. Quantitative MR-based techniques have the potential to overcome the limitations of cMRI. Magnetization transfer MRI, diffusion-weighted and diffusion tensor MRI with fiber tractography, proton magnetic resonance spectroscopy, T1 and T2 relaxation time measurement, and functional MRI are contributing to elucidate the mechanisms that underlie injury, repair, and functional adaptation in patients with MS. All conventional and nonconventional MR techniques will benefit from the use of high-field MR systems (3.0T or more).
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Affiliation(s)
- Massimo Filippi
- Neuroimaging Research Unit, Department of Neurology, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.
| | - Arnaud Charil
- Neuroimaging Research Unit, Department of Neurology, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Marco Rovaris
- Neuroimaging Research Unit, Department of Neurology, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Martina Absinta
- Neuroimaging Research Unit, Department of Neurology, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Maria Assunta Rocca
- Neuroimaging Research Unit, Department of Neurology, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
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7
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Nakamura K, Guizard N, Fonov VS, Narayanan S, Collins DL, Arnold DL. Jacobian integration method increases the statistical power to measure gray matter atrophy in multiple sclerosis. Neuroimage Clin 2013; 4:10-7. [PMID: 24266007 PMCID: PMC3830061 DOI: 10.1016/j.nicl.2013.10.015] [Citation(s) in RCA: 57] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2013] [Revised: 10/02/2013] [Accepted: 10/23/2013] [Indexed: 12/27/2022]
Abstract
Gray matter atrophy provides important insights into neurodegeneration in multiple sclerosis (MS) and can be used as a marker of neuroprotection in clinical trials. Jacobian integration is a method for measuring volume change that uses integration of the local Jacobian determinants of the nonlinear deformation field registering two images, and is a promising tool for measuring gray matter atrophy. Our main objective was to compare the statistical power of the Jacobian integration method to commonly used methods in terms of the sample size required to detect a treatment effect on gray matter atrophy. We used multi-center longitudinal data from relapsing-remitting MS patients and evaluated combinations of cross-sectional and longitudinal pre-processing with SIENAX/FSL, SPM, and FreeSurfer, as well as the Jacobian integration method. The Jacobian integration method outperformed these other commonly used methods, reducing the required sample size by a factor of 4-5. The results demonstrate the advantage of using the Jacobian integration method to assess neuroprotection in MS clinical trials.
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Affiliation(s)
- Kunio Nakamura
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, Quebec H3A 2B4, Canada
| | - Nicolas Guizard
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, Quebec H3A 2B4, Canada
| | - Vladimir S. Fonov
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, Quebec H3A 2B4, Canada
| | - Sridar Narayanan
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, Quebec H3A 2B4, Canada
- NeuroRx Research, 3575 Park Avenue, Suite #5322, Montreal, Quebec H2X 4B3, Canada
| | - D. Louis Collins
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, Quebec H3A 2B4, Canada
| | - Douglas L. Arnold
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, Quebec H3A 2B4, Canada
- NeuroRx Research, 3575 Park Avenue, Suite #5322, Montreal, Quebec H2X 4B3, Canada
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8
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Rovira A, Alonso J. 1H magnetic resonance spectroscopy in multiple sclerosis and related disorders. Neuroimaging Clin N Am 2013; 23:459-74. [PMID: 23928200 DOI: 10.1016/j.nic.2013.03.005] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Proton magnetic resonance spectroscopy ((1)H-MRS) is an unconventional technique that allows noninvasive characterization of metabolic abnormalities in the central nervous system. (1)H-MRS provides important insights into the chemical-pathologic changes that occur in patients with multiple sclerosis (MS). In this review article we present the main brain and spinal cord (1)H-MRS features in MS, their diagnostic value in differentiating pseudotumoral demyelinating lesions from primary brain tumors, and their relationship with clinical variables. Last, some data related to the use of (1)H-MRS in therapeutic trials is presented.
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Affiliation(s)
- Alex Rovira
- Department of Radiology, Magnetic Resonance Unit (IDI), Vall d'Hebron Research Institute, Vall d'Hebron University Hospital, Barcelona 08035, Spain.
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9
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Verhey LH, Sled JG. Advanced magnetic resonance imaging in pediatric multiple sclerosis. Neuroimaging Clin N Am 2013; 23:337-54. [PMID: 23608694 DOI: 10.1016/j.nic.2012.12.011] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
This review summarizes results from studies that have applied advanced magnetic resonance (MR) imaging techniques to patients with pediatric-onset multiple sclerosis (MS), and includes a discussion of cortical imaging techniques, volumetry, magnetization transfer and diffusion tensor imaging, proton magnetic resonance spectroscopy, and functional MR imaging. Multicenter studies on the sensitivity of these techniques to natural history of disease and treatment response are required before their implementation into clinical practice.
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10
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Kirov II, Tal A, Babb JS, Herbert J, Gonen O. Serial proton MR spectroscopy of gray and white matter in relapsing-remitting MS. Neurology 2012; 80:39-46. [PMID: 23175732 DOI: 10.1212/wnl.0b013e31827b1a8c] [Citation(s) in RCA: 65] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To characterize and follow the diffuse gray and white matter (GM/WM) metabolic abnormalities in early relapsing-remitting multiple sclerosis using proton magnetic resonance spectroscopic imaging ((1)H-MRSI). METHODS Eighteen recently diagnosed, mildly disabled patients (mean baseline time from diagnosis 32 months, mean Expanded Disability Status Scale [EDSS] score 1.3), all on immunomodulatory medication, were scanned semiannually for 3 years with T1-weighted and T2-weighted MRI and 3D (1)H-MRSI at 3 T. Ten sex- and age-matched controls were followed annually. Global absolute concentrations of N-acetylaspartate (NAA), choline (Cho), creatine (Cr), and myo-inositol (mI) were obtained for all GM and WM in the 360 cm(3) (1)H-MRSI volume of interest. RESULTS Patients' average WM Cr, Cho, and mI concentrations (over all time points), 5.3 ± 0.4, 1.6 ± 0.1, and 5.1 ± 0.7 mM, were 8%, 12%, and 11% higher than controls' (p ≤ 0.01), while their WM NAA, 7.4 ± 0.7 mM, was 6% lower (p = 0.07). There were increases with time of patients' WM Cr: 0.1 mM/year, Cho: 0.02 mM/year, and NAA: 0.1 mM/year (all p < 0.05). None of the patients' metabolic concentrations correlated with their EDSS score, relapse rate, GM/WM/CSF fractions, or lesion volume. CONCLUSIONS Diffuse WM glial abnormalities were larger in magnitude than the axonal abnormalities and increased over time independently of conventional clinical or imaging metrics and despite immunomodulatory treatment. In contrast, the axonal abnormalities showed partial recovery, suggesting that patients' lower WM NAA levels represented a dysfunction, which may abate with treatment. Absence of detectable diffuse changes in GM suggests that injury there is minimal, focal, or heterogeneous between cortex and deep GM nuclei.
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Affiliation(s)
- Ivan I Kirov
- Department of Radiology, New York University School of Medicine, New York, NY, USA
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11
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Vigeveno RM, Wiebenga OT, Wattjes MP, Geurts JJG, Barkhof F. Shifting imaging targets in multiple sclerosis: from inflammation to neurodegeneration. J Magn Reson Imaging 2012; 36:1-19. [PMID: 22696123 DOI: 10.1002/jmri.23578] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Classically multiple sclerosis (MS) has been regarded as an auto-immune disease of the white matter in the central nervous system leading to severe disability over the course of several decades. Current therapeutic strategies in MS are mostly based on either immune suppression or immune modulation. Although effective in decreasing relapse frequency and severity as well as delaying disease progression, MS pathology ensues nonetheless. In the last decade it became evident that gray matter pathology plays an important role in disease progression and helps explaining certain aspects of MS-related disability such as cognitive decline. Conventional MRI outcome measures commonly used in clinical trials are sufficient to demonstrate an anti-inflammatory drug-effect but lack pathological specificity and are poor to moderate predictors of disability. In this article, we review new insights in gray matter pathology and functional reorganization in MS and how these novel fields in MS research may validate and establish new MRI outcome measures, aid in the development of new therapeutic strategies for neuroprotection and neurorepair, and may lead to development of novel predictive measures of disability and disease progression in MS.
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Affiliation(s)
- René M Vigeveno
- VU University Medical Center, Department of Radiology, Amsterdam, the Netherlands
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12
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Neuropathologic Correlates of Magnetic Resonance Imaging in Multiple Sclerosis. J Neuropathol Exp Neurol 2012; 71:762-78. [DOI: 10.1097/nen.0b013e3182676388] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
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Inglese M, Oesingmann N, Casaccia P, Fleysher L. Progressive multiple sclerosis and gray matter pathology: an MRI perspective. ACTA ACUST UNITED AC 2011; 78:258-67. [PMID: 21425269 DOI: 10.1002/msj.20247] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The evidence suggesting a role of extensive cortical demyelization and atrophy in progressive multiple sclerosis is rapidly increasing. Although conventional magnetic resonance imaging has had a huge impact on multiple sclerosis by enabling an earlier diagnosis, and by providing surrogate markers for monitoring disease response to anti-inflammatory/immunomodulatory treatments, it is limited by the low pathological specificity and the low sensitivity to both diffuse damage in normal-appearing white matter and focal and diffuse damage in gray matter. Advanced magnetic resonance imaging techniques can partially overcome these limitations by providing markers more specific to the underlying pathologic substrates and more sensitive to the structural and functional "occult" brain tissue damage in patients with multiple sclerosis. This review describes brain and spinal cord imaging studies of multiple sclerosis with particular emphasis on gray matter imaging in both secondary progressive and primary progressive multiple sclerosis, discusses the clinical implications of gray matter damage, and outlines current magnetic resonance imaging developments at high and ultrahigh magnetic field strength.
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Affiliation(s)
- Matilde Inglese
- Department of Neurology, Mount Sinai School of Medicine, New York, NY, USA.
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Abstract
Recent years have witnessed impressive advances in the use of magnetic resonance imaging (MRI) for the assessment of patients with multiple sclerosis (MS). Complementary to the clinical evaluation, conventional MRI provides crucial pieces of information for the diagnosis of MS. However, the correlation between the burden of lesions observed on conventional MRI scans and the clinical manifestations of the disease remains weak. The discrepancy between clinical and conventional MRI findings in MS is explained, at least partially, by the limited ability of conventional MRI to characterize and quantify the heterogeneous features of MS pathology. Other quantitative MR-based techniques, however, have the potential to overcome such a limitation of conventional MRI. Indeed, magnetization transfer MRI, diffusion tensor MRI, proton MR spectroscopy, and functional MRI are contributing to elucidate the mechanisms that underlie injury, repair, and functional adaptation in patients with MS. Such techniques are likely to benefit from the use of high-field MR systems and thus allow in the near future providing additional insight into all these aspects of the disease. This review summarizes how MRI is dramatically changing our understanding of the factors associated with the accumulation of irreversible disability in MS and highlights the reasons why they should be used more extensively in studies of disease evolution and clinical trials.
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Affiliation(s)
- M Filippi
- Institute of Experimental Neurology, Division of Neuroscience, Scientific Institute and University Hospital San Raffaele, Milan, Italy.
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Derakhshan M, Caramanos Z, Giacomini PS, Narayanan S, Maranzano J, Francis SJ, Arnold DL, Collins DL. Evaluation of automated techniques for the quantification of grey matter atrophy in patients with multiple sclerosis. Neuroimage 2010; 52:1261-7. [DOI: 10.1016/j.neuroimage.2010.05.029] [Citation(s) in RCA: 71] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2009] [Revised: 04/16/2010] [Accepted: 05/12/2010] [Indexed: 11/28/2022] Open
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Filippi M, Rocca MA. MR imaging of gray matter involvement in multiple sclerosis: implications for understanding disease pathophysiology and monitoring treatment efficacy. AJNR Am J Neuroradiol 2009; 31:1171-7. [PMID: 20044503 DOI: 10.3174/ajnr.a1944] [Citation(s) in RCA: 45] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Recent pathologic and MR imaging studies have challenged the classic view of MS as a chronic inflammatory-demyelinating condition affecting solely the WM of the central nervous system. Indeed, an involvement of the GM has been shown to occur from the early stages of the disease, to progress with time, and to be only moderately correlated with the extent of WM injury. In this review, we summarize how advances in MR imaging technology and methods of analysis are contributing to ameliorating the detection of focal lesions and to quantifying the extent of "occult" pathology and atrophy, as well as to defining the topographic distribution of such changes in the GM of patients with MS. These advances, combined with the imaging of brain reorganization occurring after tissue injury, should ultimately result in an improved understanding and monitoring of MS clinical manifestations and evolution, either natural or modified by treatment.
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Affiliation(s)
- Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, Scientific Institute and University Hospital San Raffaele, Milan, Italy.
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Zivadinov R, Minagar A. Evidence for gray matter pathology in multiple sclerosis: A neuroimaging approach. J Neurol Sci 2009; 282:1-4. [DOI: 10.1016/j.jns.2009.03.014] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2009] [Accepted: 03/13/2009] [Indexed: 01/24/2023]
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