1
|
Berardi A, Brown JA, Jackson BS, Huang LY, Trotti RL, Parker DA, Hill SK, Ivleva E, Pearlson GD, Tamminga CA, Keshavan MS, Keedy SK, Gershon ES, Sweeney JA, Clementz BA, McDowell JE. White Matter, Cognition, and Electrophysiological Variables in Bipolar Disorder: Using Multimodal Integration of Biomarker Variables Associated With Bipolar Disorder to Elucidate Deficits. Bipolar Disord 2025. [PMID: 40084552 DOI: 10.1111/bdi.70010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2024] [Revised: 02/03/2025] [Accepted: 02/10/2025] [Indexed: 03/16/2025]
Abstract
AIM This study aimed to evaluate associations in bipolar disorder (BD) across multimodal measures of white matter microstructure (using diffusion tensor imaging; DTI), cognitive, behavioral, and brain electrophysiological measures (using electroencephalography; EEG). METHODS Subjects were recruited through the Psychosis and Affective Research Domains and Intermediate Phenotypes Consortium (n = 45 bipolar with psychosis, n = 40 bipolar without psychosis, n = 66 healthy subjects). DTI data were used to quantify the white matter variables, fractional anisotropy (FA) and radial diffusivity (RD). The Brief Assessment of Cognition in Schizophrenia (BACS), Stop Signal Task (SST), pro- and anti-saccades, auditory event-related potentials (ERPs), and intrinsic brain activity were used as estimates of brain function. RESULTS The combined BD group differed from healthy controls, but no differences between BD with and without psychosis were observed. BD-related white matter abnormalities were seen across multiple tracts: right cingulum-cingulate gyrus, bilateral anterior thalamic radiation, bilateral superior longitudinal fasciculus, right inferior longitudinal fasciculus, and forceps major. Results also showed modestly compromised cognitive performance and elevated intrinsic EEG activity associated with BD. CONCLUSIONS Further analysis indicated worse white matter integrity related to higher intrinsic EEG and modestly higher ERPs. These multimodal analyses are likely to aid in creating future informative diagnostic, etiological, and treatment targets for BD.
Collapse
Affiliation(s)
- Audrey Berardi
- Department of Psychology, University of Georgia, Athens, Georgia, USA
| | - Jennifer A Brown
- Department of Psychology, University of Georgia, Athens, Georgia, USA
| | - Brooke S Jackson
- Department of Psychology, University of Georgia, Athens, Georgia, USA
| | - Ling-Yu Huang
- Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Rebekah L Trotti
- Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - David A Parker
- Department of Psychology, University of Georgia, Athens, Georgia, USA
- Department of Human Genetics, Emory School of Medicine, Atlanta, Georgia, USA
| | - Scot K Hill
- Department of Psychology, Rosalind Franklin University of Medicine and Science, Chicago, Illinois, USA
| | - Elena Ivleva
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | | | - Carol A Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Matcheri S Keshavan
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
| | - Sarah K Keedy
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, Illinois, USA
| | - Elliot S Gershon
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, Illinois, USA
| | - John A Sweeney
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio, USA
| | - Brett A Clementz
- Department of Psychology, University of Georgia, Athens, Georgia, USA
| | | |
Collapse
|
2
|
Gaubert M, Combès B, Bannier E, Masson A, Caron V, Baudron G, Ferré JC, Michel L, Le Page E, Stankoff B, Edan G, Bodini B, Kerbrat A. Microstructural Damage and Repair in the Spinal Cord of Patients With Early Multiple Sclerosis and Association With Disability at 5 Years. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2025; 12:e200333. [PMID: 39571137 PMCID: PMC11587990 DOI: 10.1212/nxi.0000000000200333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 10/01/2024] [Indexed: 11/27/2024]
Abstract
BACKGROUND AND OBJECTIVES The dynamics of microstructural spinal cord (SC) damage and repair in people with multiple sclerosis (pwMS) and their clinical relevance have yet to be explored. We set out to describe patient-specific profiles of microstructural SC damage and change during the first year after MS diagnosis and to investigate their associations with disability and SC atrophy at 5 years. METHODS We performed a longitudinal monocentric cohort study among patients with relapsing-remitting MS: first relapse <1 year, no relapse <1 month, and high initial severity on MRI (>9 T2 lesions on brain MRI and/or initial myelitis). pwMS and age-matched healthy controls (HCs) underwent cervical SC magnetization transfer (MT) imaging at baseline and at 1 year for pwMS. Based on HC data, SC MT ratio z-score maps were computed for each person with MS. An index of microstructural damage was calculated as the proportion of voxels classified as normal at baseline and identified as damaged after 1 year. Similarly, an index of repair was also calculated (voxels classified as damaged at baseline and as normal after 1 year). Linear models including these indices and disability or SC cross-sectional area (CSA) change between baseline and 5 years were implemented. RESULTS Thirty-seven patients and 19 HCs were included. We observed considerable variability in the extent of microstructural SC damage at baseline (0%-58% of SC voxels). We also observed considerable variability in damage and repair indices over 1 year (0%-31% and 0%-20%), with 18 patients showing predominance of damage and 18 predominance of repair. The index of microstructural damage was associated positively with the Expanded Disability Status Scale score (r = 0.504, p = 0.002) and negatively with CSA change (r = -0.416, p = 0.02) at 5 years, independent of baseline SC lesion volume. DISCUSSION People with early relapsing-remitting MS exhibited heterogeneous profiles of microstructural SC damage and repair. Progression of microstructural damage was associated with disability progression and SC atrophy 5 years later. These results indicate a potential for microstructural repair in the SC to prevent disability progression in pwMS.
Collapse
Affiliation(s)
- Malo Gaubert
- From the Department of Neuroradiology (M.G., E.B., J.-C.F.), Rennes University Hospital; Empenn (M.G., B.C., E.B., A.M., V.C., G.B., J.-C.F., A.K.), INRIA, Rennes University-CNRS-INSERM; Department of Neurology (L.M., E.L.P., G.E., A.K.), Rennes University Hospital; Paris Brain Institute (ICM) (B.S., B.B.), Sorbonne University-CNRS-INSERM; and Neurology Department (B.S., B.B.), APHP St Antoine Hospital, Paris, France
| | - Benoit Combès
- From the Department of Neuroradiology (M.G., E.B., J.-C.F.), Rennes University Hospital; Empenn (M.G., B.C., E.B., A.M., V.C., G.B., J.-C.F., A.K.), INRIA, Rennes University-CNRS-INSERM; Department of Neurology (L.M., E.L.P., G.E., A.K.), Rennes University Hospital; Paris Brain Institute (ICM) (B.S., B.B.), Sorbonne University-CNRS-INSERM; and Neurology Department (B.S., B.B.), APHP St Antoine Hospital, Paris, France
| | - Elise Bannier
- From the Department of Neuroradiology (M.G., E.B., J.-C.F.), Rennes University Hospital; Empenn (M.G., B.C., E.B., A.M., V.C., G.B., J.-C.F., A.K.), INRIA, Rennes University-CNRS-INSERM; Department of Neurology (L.M., E.L.P., G.E., A.K.), Rennes University Hospital; Paris Brain Institute (ICM) (B.S., B.B.), Sorbonne University-CNRS-INSERM; and Neurology Department (B.S., B.B.), APHP St Antoine Hospital, Paris, France
| | - Arthur Masson
- From the Department of Neuroradiology (M.G., E.B., J.-C.F.), Rennes University Hospital; Empenn (M.G., B.C., E.B., A.M., V.C., G.B., J.-C.F., A.K.), INRIA, Rennes University-CNRS-INSERM; Department of Neurology (L.M., E.L.P., G.E., A.K.), Rennes University Hospital; Paris Brain Institute (ICM) (B.S., B.B.), Sorbonne University-CNRS-INSERM; and Neurology Department (B.S., B.B.), APHP St Antoine Hospital, Paris, France
| | - Vivien Caron
- From the Department of Neuroradiology (M.G., E.B., J.-C.F.), Rennes University Hospital; Empenn (M.G., B.C., E.B., A.M., V.C., G.B., J.-C.F., A.K.), INRIA, Rennes University-CNRS-INSERM; Department of Neurology (L.M., E.L.P., G.E., A.K.), Rennes University Hospital; Paris Brain Institute (ICM) (B.S., B.B.), Sorbonne University-CNRS-INSERM; and Neurology Department (B.S., B.B.), APHP St Antoine Hospital, Paris, France
| | - Gaëlle Baudron
- From the Department of Neuroradiology (M.G., E.B., J.-C.F.), Rennes University Hospital; Empenn (M.G., B.C., E.B., A.M., V.C., G.B., J.-C.F., A.K.), INRIA, Rennes University-CNRS-INSERM; Department of Neurology (L.M., E.L.P., G.E., A.K.), Rennes University Hospital; Paris Brain Institute (ICM) (B.S., B.B.), Sorbonne University-CNRS-INSERM; and Neurology Department (B.S., B.B.), APHP St Antoine Hospital, Paris, France
| | - Jean-Christophe Ferré
- From the Department of Neuroradiology (M.G., E.B., J.-C.F.), Rennes University Hospital; Empenn (M.G., B.C., E.B., A.M., V.C., G.B., J.-C.F., A.K.), INRIA, Rennes University-CNRS-INSERM; Department of Neurology (L.M., E.L.P., G.E., A.K.), Rennes University Hospital; Paris Brain Institute (ICM) (B.S., B.B.), Sorbonne University-CNRS-INSERM; and Neurology Department (B.S., B.B.), APHP St Antoine Hospital, Paris, France
| | - Laure Michel
- From the Department of Neuroradiology (M.G., E.B., J.-C.F.), Rennes University Hospital; Empenn (M.G., B.C., E.B., A.M., V.C., G.B., J.-C.F., A.K.), INRIA, Rennes University-CNRS-INSERM; Department of Neurology (L.M., E.L.P., G.E., A.K.), Rennes University Hospital; Paris Brain Institute (ICM) (B.S., B.B.), Sorbonne University-CNRS-INSERM; and Neurology Department (B.S., B.B.), APHP St Antoine Hospital, Paris, France
| | - Emmanuelle Le Page
- From the Department of Neuroradiology (M.G., E.B., J.-C.F.), Rennes University Hospital; Empenn (M.G., B.C., E.B., A.M., V.C., G.B., J.-C.F., A.K.), INRIA, Rennes University-CNRS-INSERM; Department of Neurology (L.M., E.L.P., G.E., A.K.), Rennes University Hospital; Paris Brain Institute (ICM) (B.S., B.B.), Sorbonne University-CNRS-INSERM; and Neurology Department (B.S., B.B.), APHP St Antoine Hospital, Paris, France
| | - Bruno Stankoff
- From the Department of Neuroradiology (M.G., E.B., J.-C.F.), Rennes University Hospital; Empenn (M.G., B.C., E.B., A.M., V.C., G.B., J.-C.F., A.K.), INRIA, Rennes University-CNRS-INSERM; Department of Neurology (L.M., E.L.P., G.E., A.K.), Rennes University Hospital; Paris Brain Institute (ICM) (B.S., B.B.), Sorbonne University-CNRS-INSERM; and Neurology Department (B.S., B.B.), APHP St Antoine Hospital, Paris, France
| | - Gilles Edan
- From the Department of Neuroradiology (M.G., E.B., J.-C.F.), Rennes University Hospital; Empenn (M.G., B.C., E.B., A.M., V.C., G.B., J.-C.F., A.K.), INRIA, Rennes University-CNRS-INSERM; Department of Neurology (L.M., E.L.P., G.E., A.K.), Rennes University Hospital; Paris Brain Institute (ICM) (B.S., B.B.), Sorbonne University-CNRS-INSERM; and Neurology Department (B.S., B.B.), APHP St Antoine Hospital, Paris, France
| | - Benedetta Bodini
- From the Department of Neuroradiology (M.G., E.B., J.-C.F.), Rennes University Hospital; Empenn (M.G., B.C., E.B., A.M., V.C., G.B., J.-C.F., A.K.), INRIA, Rennes University-CNRS-INSERM; Department of Neurology (L.M., E.L.P., G.E., A.K.), Rennes University Hospital; Paris Brain Institute (ICM) (B.S., B.B.), Sorbonne University-CNRS-INSERM; and Neurology Department (B.S., B.B.), APHP St Antoine Hospital, Paris, France
| | - Anne Kerbrat
- From the Department of Neuroradiology (M.G., E.B., J.-C.F.), Rennes University Hospital; Empenn (M.G., B.C., E.B., A.M., V.C., G.B., J.-C.F., A.K.), INRIA, Rennes University-CNRS-INSERM; Department of Neurology (L.M., E.L.P., G.E., A.K.), Rennes University Hospital; Paris Brain Institute (ICM) (B.S., B.B.), Sorbonne University-CNRS-INSERM; and Neurology Department (B.S., B.B.), APHP St Antoine Hospital, Paris, France
| |
Collapse
|
3
|
Chertcoff A, Schneider R, Azevedo CJ, Sicotte N, Oh J. Recent Advances in Diagnostic, Prognostic, and Disease-Monitoring Biomarkers in Multiple Sclerosis. Neurol Clin 2024; 42:15-38. [PMID: 37980112 DOI: 10.1016/j.ncl.2023.06.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2023]
Abstract
Multiple sclerosis (MS) is a highly heterogeneous disease. Currently, a combination of clinical features, MRI, and cerebrospinal fluid markers are used in clinical practice for diagnosis and treatment decisions. In recent years, there has been considerable effort to develop novel biomarkers that better reflect the pathologic substrates of the disease to aid in diagnosis and early prognosis, evaluation of ongoing inflammatory activity, detection and monitoring of disease progression, prediction of treatment response, and monitoring of disease-modifying treatment safety. In this review, the authors provide an overview of promising recent developments in diagnostic, prognostic, and disease-monitoring/treatment-response biomarkers in MS.
Collapse
Affiliation(s)
- Anibal Chertcoff
- Division of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, 30 Bond Street, PGT 17-742, Toronto, Ontario M5B 1W8, Canada
| | - Raphael Schneider
- Division of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, 30 Bond Street, PGT 17-742, Toronto, Ontario M5B 1W8, Canada
| | - Christina J Azevedo
- Department of Neurology, Keck School of Medicine, University of Southern California, HCT 1520 San Pablo Street, Health Sciences Campus, Los Angeles, CA 90033, USA
| | - Nancy Sicotte
- Department of Neurology, Cedars-Sinai Medical Center, 127 S San Vicente Boulevard, 6th floor, Suite A6600, Los Angeles, CA 90048, USA
| | - Jiwon Oh
- Division of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, 30 Bond Street, PGT 17-742, Toronto, Ontario M5B 1W8, Canada; Department of Neurology, Johns Hopkins University, Baltimore, MD, USA.
| |
Collapse
|
4
|
Kreiter D, Postma AA, Hupperts R, Gerlach O. Hallmarks of spinal cord pathology in multiple sclerosis. J Neurol Sci 2024; 456:122846. [PMID: 38142540 DOI: 10.1016/j.jns.2023.122846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 12/13/2023] [Indexed: 12/26/2023]
Abstract
A disparity exists between spinal cord and brain involvement in multiple sclerosis (MS), each independently contributing to disability. Underlying differences between brain and cord are not just anatomical in nature (volume, white/grey matter organization, vascularization), but also in barrier functions (differences in function and composition of the blood-spinal cord barrier compared to blood-brain barrier) and possibly in repair mechanisms. Also, immunological phenotypes seem to influence localization of inflammatory activity. Whereas the brain has gained a lot of attention in MS research, the spinal cord lags behind. Advanced imaging techniques and biomarkers are improving and providing us with tools to uncover the mechanisms of spinal cord pathology in MS. In the present review, we elaborate on the underlying anatomical and physiological factors driving differences between brain and cord involvement in MS and review current literature on pathophysiology of spinal cord involvement in MS and the observed differences to brain involvement.
Collapse
Affiliation(s)
- Daniel Kreiter
- Academic MS Center Zuyd, Department of Neurology, Zuyderland MC, Sittard-Geleen, the Netherlands; School for Mental Health and Neuroscience, Department of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands.
| | - Alida A Postma
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands; School for Mental Health and Neuroscience, Department of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Raymond Hupperts
- Academic MS Center Zuyd, Department of Neurology, Zuyderland MC, Sittard-Geleen, the Netherlands; School for Mental Health and Neuroscience, Department of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Oliver Gerlach
- Academic MS Center Zuyd, Department of Neurology, Zuyderland MC, Sittard-Geleen, the Netherlands; School for Mental Health and Neuroscience, Department of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands
| |
Collapse
|
5
|
Tezeren HC, Keser I, Sen I, Tuncer A. The relationship between bladder functions, pelvic floor muscle strength, fall, and fatigue in multiple sclerosis. Mult Scler Relat Disord 2023; 79:105013. [PMID: 37778159 DOI: 10.1016/j.msard.2023.105013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 09/14/2023] [Indexed: 10/03/2023]
Abstract
BACKGROUND The aim of this study was to determine the relationship between the severity of bladder functions, fatigue, quality of life (QoL), fall, and pelvic floor muscle strength in patients with Multiple Sclerosis (PwMS). METHODS Patients were divided into two groups according to their Expanded Disability Status Scale (EDSS) bladder scores as Group 1 (EDSS bladder score 0-1, mildly affected group, n = 25) and Group 2 (EDSS bladder score 2-3-4, moderate and severely affected group, n = 21). Pelvic floor muscle (PFM) strength (EMG-Biofeedback device), fear of fall (Fall Efficacy Scale (FES-1)), fatigue (Fatigue Severity Scale (FSS)), QoL (Urogenital Distress Inventory-short form (UDI-6), and Incontinence Impact Questionnaire-short form (IIQ-7)) were evaluated. RESULTS 46 female patients diagnosed with MS were included in this study. No significant differences in baseline characteristics were seen between the groups except age. EDSS bladder score were 1 (0-1) and 3 (2-4), EMG-Biofeedback score were 79,5 ± 8,11 and 41,7 ± 5,48, FSS score were 38,7 ± 2,80 and 54±2,20, FES-I score were 16,9 ± 2,15 and 40,2 ± 7,39, UDI-6 score were 4,24±0,47 and 8,42±0,64, IIQ-7 score were 3,64±0,86 and 18,2 ± 1,42 in Group 1 and Group 2. As a result of statistical analysis, significant differences were found in less fatigue and fall, higher PFM strength and better QoL with mildly affected PwMS (p<0,05). CONCLUSION There was a significant difference in terms of bladder function level in PFM strength, fall, fatigue and QoL between the mildly affected group and the moderate and severely affected group.
Collapse
Affiliation(s)
- Halime Ceren Tezeren
- Baskent University, Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Ankara, Turkey.
| | - Ilke Keser
- Gazi University, Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Ankara, Turkey
| | - Ilker Sen
- Gazi University, Faculty of Medicine, Department of Urology, Ankara, Turkey
| | - Aslı Tuncer
- Hacettepe University, Faculty of Medicine, Department of Neurology, Ankara, Turkey
| |
Collapse
|
6
|
Bian B, Zhou B, Shao Z, Zhu X, Jie Y, Li D. Feasibility of diffusion kurtosis imaging in evaluating cervical spinal cord injury in multiple sclerosis. Medicine (Baltimore) 2023; 102:e34205. [PMID: 37478237 PMCID: PMC10662919 DOI: 10.1097/md.0000000000034205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 06/14/2023] [Indexed: 07/23/2023] Open
Abstract
This research aimed to assess gray matter (GM), white matter (WM), lesions of multiple sclerosis (MS) and the therapeutic effect using diffusion kurtosis imaging (DKI). From January 2018 to October 2019, 78 subjects (48 of MS and 30 of health) perform routine MR scan and DKI of cervical spinal cord. The MS patients were divided into 2 groups according to the presence or absence of T2 hyperintensity. DKI-metrics were measured in the lesions, normal-appearing GM and WM. Significant differences were detected in DKI metrics between MS and healthy (P < .05) and between patients with cervical spinal cord T2-hyperintense and without T2-hyperintense (P < .001). Compared to healthy, GM-mean kurtosis (MK), GM-radial kurtosis, and WM-fractional anisotropy, WM-axial diffusion were statistically reduced in patients without T2-hyperintense (P < .05). Significant differences were observed in DKI metrics between patients with T2-hyperintense after therapy (P < .05), as well as GM-MK and WM-fractional anisotropy, WM-axial diffusion in patients without T2-hyperintense (P < .05); Expanded Disability Status Scale was correlated with MK values, as well as Expanded Disability Status Scale scores and MK values after therapy. Our results indicate that DKI-metrics can detect and quantitatively evaluate the changes in cervical spinal cord micropathological structure.
Collapse
Affiliation(s)
- BingYang Bian
- Department of Radiology, The First Hospital of Jilin University, Changchun, China
| | - BoXu Zhou
- Department of Radiology, The First Hospital of Jilin University, Changchun, China
| | - ZhiQing Shao
- Department of Radiology, The First Hospital of Jilin University, Changchun, China
| | - XiaoNa Zhu
- Department of Radiology, The First Hospital of Jilin University, Changchun, China
| | - YiGe Jie
- Department of Radiology, The First Hospital of Jilin University, Changchun, China
| | - Dan Li
- Department of Radiology, The First Hospital of Jilin University, Changchun, China
| |
Collapse
|
7
|
Khan AF, Haynes G, Mohammadi E, Muhammad F, Hameed S, Smith ZA. Utility of MRI in Quantifying Tissue Injury in Cervical Spondylotic Myelopathy. J Clin Med 2023; 12:jcm12093337. [PMID: 37176777 PMCID: PMC10179707 DOI: 10.3390/jcm12093337] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 04/28/2023] [Accepted: 05/05/2023] [Indexed: 05/15/2023] Open
Abstract
Cervical spondylotic myelopathy (CSM) is a progressive disease that worsens over time if untreated. However, the rate of progression can vary among individuals and may be influenced by various factors, such as the age of the patients, underlying conditions, and the severity and location of the spinal cord compression. Early diagnosis and prompt treatment can help slow the progression of CSM and improve symptoms. There has been an increased use of magnetic resonance imaging (MRI) methods in diagnosing and managing CSM. MRI methods provide detailed images and quantitative structural and functional data of the cervical spinal cord and brain, allowing for an accurate evaluation of the extent and location of tissue injury. This review aims to provide an understanding of the use of MRI methods in interrogating functional and structural changes in the central nervous system in CSM. Further, we identified several challenges hindering the clinical utility of these neuroimaging methods.
Collapse
Affiliation(s)
- Ali Fahim Khan
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
| | - Grace Haynes
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK 73019, USA
| | - Esmaeil Mohammadi
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
| | - Fauziyya Muhammad
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
| | - Sanaa Hameed
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
| | - Zachary A Smith
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
| |
Collapse
|
8
|
Weil EL, Nakawah MO, Masdeu JC. Advances in the neuroimaging of motor disorders. HANDBOOK OF CLINICAL NEUROLOGY 2023; 195:359-381. [PMID: 37562878 DOI: 10.1016/b978-0-323-98818-6.00039-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/12/2023]
Abstract
Neuroimaging is a valuable adjunct to the history and examination in the evaluation of motor system disorders. Conventional imaging with computed tomography or magnetic resonance imaging depicts important anatomic information and helps to identify imaging patterns which may support diagnosis of a specific motor disorder. Advanced imaging techniques can provide further detail regarding volume, functional, or metabolic changes occurring in nervous system pathology. This chapter is an overview of the advances in neuroimaging with particular emphasis on both standard and less well-known advanced imaging techniques and findings, such as diffusion tensor imaging or volumetric studies, and their application to specific motor disorders. In addition, it provides reference to emerging imaging biomarkers in motor system disorders such as Parkinson disease, amyotrophic lateral sclerosis, and Huntington disease, and briefly reviews the neuroimaging findings in different causes of myelopathy and peripheral nerve disorders.
Collapse
Affiliation(s)
- Erika L Weil
- Department of Neurology, University of Michigan, Ann Arbor, MI, United States; Stanley H. Appel Department of Neurology, Houston Methodist Hospital, Houston, TX, United States.
| | - Mohammad Obadah Nakawah
- Stanley H. Appel Department of Neurology, Houston Methodist Hospital, Houston, TX, United States; Department of Neurology, Weill Cornell Medicine, New York, NY, United States
| | - Joseph C Masdeu
- Stanley H. Appel Department of Neurology, Houston Methodist Hospital, Houston, TX, United States; Department of Neurology, Weill Cornell Medicine, New York, NY, United States
| |
Collapse
|
9
|
Seyman E, Kim D, Bharatha A, Casserly C. Quantitative spinal cord MRI and sexual dysfunction in multiple sclerosis. Mult Scler J Exp Transl Clin 2022; 8:20552173221132170. [PMID: 36277232 PMCID: PMC9585573 DOI: 10.1177/20552173221132170] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 09/25/2022] [Indexed: 11/15/2022] Open
Abstract
Background Sexual dysfunction (SD) is frequently reported in multiple sclerosis (MS) and is likely related to MS-related damage to the spinal cord (SC). Objective To assess associations between SD and quantitative MRI measures in people with MS (pwMS). Methods This pilot study included 17 pwMS with SD who completed questionnaires assessing SD, mood, and fatigue. All participants underwent brain, cervical, and thoracic SC-MRI at 3T. Quantitative brain and SC-MRI measures, including brain/SC atrophy, SC lesion count, diffusion-tensor imaging (DTI) indices (fractional anisotropy [FA], mean, perpendicular, parallel diffusivity [MD, λ⊥, λ||]) and magnetization-transfer ratio (MTR) were obtained. Associations between quantitative MRI measures and SD were assessed while controlling for the extent of mood and fatigue symptomatology. Results Subjects were a mean age of 46.9 years and 29% female. All subjects had self-reported SD (MSISQ-19 = 40.7, SQoL: 55.9) and 65% had a concurrent psychiatric diagnosis. When correlations between SD severity were assessed with individual brain and SC-MRI measures while controlling for psychiatric symptomatology, no associations were found. The only variables showing independent associations with SD were anxiety (p = 0.03), depression (p = 0.05), and fatigue (p = 0.04). Conclusion We found no correlations between quantitative MRI measures in the brain and SC and severity of SD in pwMS, but psychiatric symptomatology and fatigue severity demonstrated relationships with SD. The multifactorial nature of SD in pwMS mandates a multidisciplinary approach.
Collapse
Affiliation(s)
- Estelle Seyman
- Division of Neurology, Department of Medicine, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada,Division of Neurology, Tel Aviv Sourasky Medical Center, Tel-Aviv University, Tel-Aviv, Israel
| | - David Kim
- Department of Clinical Neurological Sciences, London Health Sciences Centre, Western University, London, Ontario, Canada
| | - Aditya Bharatha
- Division of Neuroradiology, Department of Medical Imaging, St. Michael's Hospital, University of Toronto, London, Ontario, Canada
| | - Courtney Casserly
- Department of Clinical Neurological Sciences, London Health Sciences Centre, Western University, London, Ontario, Canada
| |
Collapse
|
10
|
He B, Sheldrick K, Das A, Diwan A. Clinical and Research MRI Techniques for Assessing Spinal Cord Integrity in Degenerative Cervical Myelopathy-A Scoping Review. Biomedicines 2022; 10:2621. [PMID: 36289883 PMCID: PMC9599413 DOI: 10.3390/biomedicines10102621] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 10/05/2022] [Accepted: 10/11/2022] [Indexed: 12/01/2022] Open
Abstract
BACKGROUND Degenerative cervical myelopathy (DCM) manifests as the primary cause of spinal cord dysfunction and is non-traumatic, chronic and progressive in nature. Decompressive surgery is typically utilised to halt further disability and neurological dysfunction. The limitations of current diagnostic options surrounding assessment and prognostic potential render DCM still largely a clinical diagnosis. AIMS To outline the limitations of current diagnostic techniques, present evidence behind novel quantitative MRI (qMRI) techniques for assessing spinal cord integrity in DCM and suggest future directions. METHOD Articles published up to November 2021 were retrieved from Medline, EMBASE and EBM using key search terms: spinal cord, spine, neck, MRI, magnetic resonance imaging, qMRI, T1, T2, T2*, R2*, DTI, diffusion tensor imaging, MT, magnetisation transfer, SWI, susceptibility weighted imaging, BOLD, blood oxygen level dependent, fMRI, functional magnetic resonance imaging, functional MRI, MRS, magnetic resonance spectroscopy. RESULTS A total of 2057 articles were retrieved with 68 articles included for analysis. The search yielded 2 articles on Quantitative T1 mapping which suggested higher T1 values in spinal cord of moderate-severe DCM; 43 articles on DTI which indicated a strong correlation of fractional anisotropy and modified Japanese Orthopaedic Association scores; 15 articles on fMRI (BOLD) which demonstrated positive correlation of functional connectivity and volume of activation of various connections in the brain with post-surgical recovery; 6 articles on MRS which suggested that Choline/N-acetylaspartate (Cho/NAA) ratio presents the best correlation with DCM severity; and 4 articles on MT which revealed a preliminary negative correlation of magnetisation transfer ratio with DCM severity. Notably, most studies were of low sample size with short timeframes within 6 months. CONCLUSIONS Further longitudinal studies with higher sample sizes and longer time horizons are necessary to determine the full prognostic capacity of qMRI in DCM.
Collapse
Affiliation(s)
- Brandon He
- Spine Labs, St. George & Sutherland Clinical School, UNSW Faculty of Medicine, Kogarah, NSW 2217, Australia
- Faculty of Medicine, University of New South Wales, Kensington, NSW 2052, Australia
| | - Kyle Sheldrick
- Spine Labs, St. George & Sutherland Clinical School, UNSW Faculty of Medicine, Kogarah, NSW 2217, Australia
- Faculty of Medicine, University of New South Wales, Kensington, NSW 2052, Australia
| | - Abhirup Das
- Spine Labs, St. George & Sutherland Clinical School, UNSW Faculty of Medicine, Kogarah, NSW 2217, Australia
- Faculty of Medicine, University of New South Wales, Kensington, NSW 2052, Australia
| | - Ashish Diwan
- Spine Labs, St. George & Sutherland Clinical School, UNSW Faculty of Medicine, Kogarah, NSW 2217, Australia
- Spine Service, Department of Orthopaedic Surgery, St. George Hospital Campus, Kogarah, NSW 2217, Australia
| |
Collapse
|
11
|
Abstract
PURPOSE OF REVIEW This article provides an update on progressive forms of multiple sclerosis (MS) commonly referred to as primary progressive MS and secondary progressive MS. It discusses the importance of diagnosing and detecting progression early, the similarities between progressive forms, challenges in detecting progression, factors that could augment progression, and the importance of disease-modifying therapies in patients with evidence of active progressive MS. It also discusses the overall care of progressive MS. RECENT FINDINGS The pathogenesis of primary progressive MS and secondary progressive MS is overlapping, and in both presentations, patients with relapses or focal MRI activity are classified as having active, progressive MS. All currently approved disease-modifying therapies are indicated for active secondary progressive MS. The therapeutic opportunity of anti-inflammatory drugs for the treatment of progressive MS is enhanced in those who are younger and have a shorter disease duration. Vascular comorbidities may contribute to progression in MS. SUMMARY Several challenges remain in the diagnosis, follow-up, and treatment of progressive MS. Early identification of active progressive MS is needed to maximize treatment benefit. The advantages of optimal comorbidity management (eg, hypertension, hyperlipidemia) in delaying progression are uncertain. Clinical care guidelines for advanced, severe MS are lacking.
Collapse
|
12
|
Andelova M, Vodehnalova K, Krasensky J, Hardubejova E, Hrnciarova T, Srpova B, Uher T, Menkyova I, Stastna D, Friedova L, Motyl J, Lizrova Preiningerova J, Kubala Havrdova E, Maréchal B, Fartaria MJ, Kober T, Horakova D, Vaneckova M. Brainstem lesions are associated with diffuse spinal cord involvement in early multiple sclerosis. BMC Neurol 2022; 22:270. [PMID: 35854235 PMCID: PMC9297663 DOI: 10.1186/s12883-022-02778-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Accepted: 06/29/2022] [Indexed: 11/13/2022] Open
Abstract
Background Early infratentorial and focal spinal cord lesions on magnetic resonance imaging (MRI) are associated with a higher risk of long-term disability in patients with multiple sclerosis (MS). The role of diffuse spinal cord lesions remains less understood. The purpose of this study was to evaluate focal and especially diffuse spinal cord lesions in patients with early relapsing-remitting MS and their association with intracranial lesion topography, global and regional brain volume, and spinal cord volume. Methods We investigated 58 MS patients with short disease duration (< 5 years) from a large academic MS center and 58 healthy controls matched for age and sex. Brain, spinal cord, and intracranial lesion volumes were compared among patients with- and without diffuse spinal cord lesions and controls. Binary logistic regression models were used to analyse the association between the volume and topology of intracranial lesions and the presence of focal and diffuse spinal cord lesions. Results We found spinal cord involvement in 75% of the patients (43/58), including diffuse changes in 41.4% (24/58). Patients with diffuse spinal cord changes exhibited higher volumes of brainstem lesion volume (p = 0.008). The presence of at least one brainstem lesion was associated with a higher probability of the presence of diffuse spinal cord lesions (odds ratio 47.1; 95% confidence interval 6.9–321.6 p < 0.001) as opposed to focal spinal cord lesions (odds ratio 0.22; p = 0.320). Patients with diffuse spinal cord lesions had a lower thalamus volume compared to patients without diffuse spinal cord lesions (p = 0.007) or healthy controls (p = 0.002). Conclusions Diffuse spinal cord lesions are associated with the presence of brainstem lesions and with a lower volume of the thalamus. This association was not found in patients with focal spinal cord lesions. If confirmed, thalamic atrophy in patients with diffuse lesions could increase our knowledge on the worse prognosis in patients with infratentorial and SC lesions. Supplementary Information The online version contains supplementary material available at 10.1186/s12883-022-02778-z.
Collapse
Affiliation(s)
- Michaela Andelova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Katerinska 30, Praha 2, Prague, Czech Republic.
| | - Karolina Vodehnalova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Katerinska 30, Praha 2, Prague, Czech Republic
| | - Jan Krasensky
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Eliska Hardubejova
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Tereza Hrnciarova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Katerinska 30, Praha 2, Prague, Czech Republic
| | - Barbora Srpova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Katerinska 30, Praha 2, Prague, Czech Republic
| | - Tomas Uher
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Katerinska 30, Praha 2, Prague, Czech Republic
| | - Ingrid Menkyova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Katerinska 30, Praha 2, Prague, Czech Republic.,2nd Department of Neurology, Faculty of Medicine, Comenius University, Bratislava, Slovakia
| | - Dominika Stastna
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Katerinska 30, Praha 2, Prague, Czech Republic
| | - Lucie Friedova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Katerinska 30, Praha 2, Prague, Czech Republic
| | - Jiri Motyl
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Katerinska 30, Praha 2, Prague, Czech Republic
| | - Jana Lizrova Preiningerova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Katerinska 30, Praha 2, Prague, Czech Republic
| | - Eva Kubala Havrdova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Katerinska 30, Praha 2, Prague, Czech Republic
| | - Bénédicte Maréchal
- Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland.,Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,Signal Processing Laboratory (LTS 5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Mário João Fartaria
- Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland.,Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,Signal Processing Laboratory (LTS 5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Tobias Kober
- Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland.,Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,Signal Processing Laboratory (LTS 5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Dana Horakova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Katerinska 30, Praha 2, Prague, Czech Republic
| | - Manuela Vaneckova
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| |
Collapse
|
13
|
Tavazzi E, Cazzoli M, Pirastru A, Blasi V, Rovaris M, Bergsland N, Baglio F. Neuroplasticity and Motor Rehabilitation in Multiple Sclerosis: A Systematic Review on MRI Markers of Functional and Structural Changes. Front Neurosci 2021; 15:707675. [PMID: 34690670 PMCID: PMC8526725 DOI: 10.3389/fnins.2021.707675] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 09/03/2021] [Indexed: 01/10/2023] Open
Abstract
Background: Motor rehabilitation is routinely used in clinical practice as an effective method to reduce progressive disability gain in multiple sclerosis (MS), but rehabilitation approaches are typically unstandardized, and only few studies have investigated the impact of rehabilitation on brain neuroplasticity. Objective: To summarize and critically analyze studies applying MRI markers of functional connectivity and structural changes to assess the effect of motor rehabilitation on brain neuroplasticity in MS. Methods: Literature search was performed using PubMed and EMBASE, selecting studies having as a subject motor rehabilitation and advanced MRI techniques investigating neuroplasticity in adult patients affected by MS. Results: Seventeen out of 798 papers were selected, of which 5 applied structural MRI (4 diffusion tensor imaging, 1 volumetric measurements), 7 applied functional fMRI (5 task-related fMRI, 2 resting-state fMRI) whereas the remaining 5 applied both structural and functional imaging. Discussion: The considerable data heterogeneity and the small sample sizes characterizing the studies limit interpretation and generalization of the results. Overall, motor rehabilitation promotes clinical improvement, paralleled by positive adaptive brain changes, whose features and extent depend upon different variables, including the type of rehabilitation approach. MRI markers of functional and structural connectivity should be implemented in studies testing the efficacy of motor rehabilitation. They allow for a better understanding of neuroplastic mechanisms underlying rehabilitation-mediated clinical achievements, facilitating the identification of rehabilitation strategies tailored to patients' needs and abilities.
Collapse
Affiliation(s)
- Eleonora Tavazzi
- IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.,Department of Neurology, Buffalo Neuroimaging Analysis Center, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, United States
| | - Marta Cazzoli
- IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | | | - Valeria Blasi
- IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | - Marco Rovaris
- IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | - Niels Bergsland
- IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.,Department of Neurology, Buffalo Neuroimaging Analysis Center, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, United States
| | | |
Collapse
|
14
|
Mina Y, Azodi S, Dubuche T, Andrada F, Osuorah I, Ohayon J, Cortese I, Wu T, Johnson KR, Reich DS, Nair G, Jacobson S. Cervical and thoracic cord atrophy in multiple sclerosis phenotypes: Quantification and correlation with clinical disability. NEUROIMAGE-CLINICAL 2021; 30:102680. [PMID: 34215150 PMCID: PMC8131917 DOI: 10.1016/j.nicl.2021.102680] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 04/15/2021] [Accepted: 04/16/2021] [Indexed: 12/01/2022]
Abstract
Spinal cord atrophy is prevalent across multiple sclerosis phenotypes. It correlates with disability, especially in relapsing-remitting patients. This correlation can be demonstrated both cross-sectionally and longitudinally. Cervical atrophy is highly associated with disability and disease progression. Thoracic atrophy contributes to improved correlation and radiological subgrouping.
Objective We sought to characterize spinal cord atrophy along the entire spinal cord in the major multiple sclerosis (MS) phenotypes, and evaluate its correlation with clinical disability. Methods Axial T1-weighted images were automatically reformatted at each point along the cord. Spinal cord cross‐sectional area (SCCSA) were calculated from C1-T10 vertebral body levels and profile plots were compared across phenotypes. Average values from C2-3, C4-5, and T4-9 regions were compared across phenotypes and correlated with clinical scores, and then categorized as atrophic/normal based on z-scores derived from controls, to compare clinical scores between subgroups. In a subset of relapsing-remitting cases with longitudinal scans these regions were compared to change in clinical scores. Results The cross-sectional study consisted of 149 adults diagnosed with relapsing-remitting MS (RRMS), 49 with secondary-progressive MS (SPMS), 58 with primary-progressive MS (PPMS) and 48 controls. The longitudinal study included 78 RRMS cases. Compared to controls, all MS groups had smaller average regions except RRMS in T4-9 region. In all MS groups, SCCSA from all regions, particularly the cervical cord, correlated with most clinical measures. In the RRMS cohort, 22% of cases had at least one atrophic region, whereas in progressive MS the rate was almost 70%. Longitudinal analysis showed correlation between clinical disability and cervical cord thinning. Conclusions Spinal cord atrophy was prevalent across MS phenotypes, with regional measures from the RRMS cohort and the progressive cohort, including SPMS and PPMS, being correlated with disability. Longitudinal changes in the spinal cord were documented in RRMS cases, making it a potential marker for disease progression. While cervical SCCSA correlated with most disability and progression measures, inclusion of thoracic measurements improved this correlation and allowed for better subgrouping of spinal cord phenotypes. Cord atrophy is an important and easily obtainable imaging marker of clinical and sub-clinical progression in all MS phenotypes, and such measures can play a key role in patient selection for clinical trials.
Collapse
Affiliation(s)
- Yair Mina
- Viral Immunology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States; Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Shila Azodi
- Viral Immunology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States; Neuroimmunology Clinic, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Tsemacha Dubuche
- Viral Immunology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Frances Andrada
- Neuroimmunology Clinic, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Ikesinachi Osuorah
- Neuroimmunology Clinic, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Joan Ohayon
- Neuroimmunology Clinic, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Irene Cortese
- Neuroimmunology Clinic, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Tianxia Wu
- Clinical Trials Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Kory R Johnson
- Bioinformatics Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Daniel S Reich
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Govind Nair
- Neuroimmunology Clinic, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States; Quantitative MRI Core Facility, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Steven Jacobson
- Viral Immunology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States.
| |
Collapse
|
15
|
Oh J, Chen M, Cybulsky K, Suthiphosuwan S, Seyman E, Dewey B, Diener-West M, van Zijl P, Prince J, Reich DS, Calabresi PA. Five-year longitudinal changes in quantitative spinal cord MRI in multiple sclerosis. Mult Scler 2021; 27:549-558. [PMID: 32476593 PMCID: PMC7704828 DOI: 10.1177/1352458520923970] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND The spinal cord (SC) is highly relevant to disability in multiple sclerosis (MS), but few studies have evaluated longitudinal changes in quantitative spinal cord magnetic resonance imaging (SC-MRI). OBJECTIVES The aim of this study was to characterize the relationships between 5-year changes in SC-MRI with disability in MS. METHODS In total, 75 MS patients underwent 3 T SC-MRI and clinical assessment (expanded disability status scale (EDSS) and MS functional composite (MSFC)) at baseline, 2 and 5 years. SC-cross-sectional area (CSA) and diffusion-tensor indices (fractional anisotropy (FA), mean, perpendicular, parallel diffusivity (MD, λ⊥, λ||) and magnetization transfer ratio (MTR)) were extracted at C3-C4. Mixed-effects regression incorporating subject-specific slopes assessed longitudinal change in SC-MRI measures. RESULTS SC-CSA and MTR decreased (p = 0.009, p = 0.03) over 5.1 years. There were moderate correlations between 2- and 5-year subject-specific slopes of SC-MRI indices and follow-up EDSS scores (Pearson's r with FA = -0.23 (p < 0.001); MD = 0.31 (p < 0.001); λ⊥ = 0.34 (p < 0.001); λ|| = -0.12 (p = 0.05), MTR = -0.37 (p < 0.001); SC-CSA = -0.47 (p < 0.001) at 5 years); MSFC showed similar trends. The 2- and 5-year subject-specific slopes were robustly correlated (r = 0.93-0.97 for FA, λ⊥, SC-CSA and MTR, all ps < 0.001). CONCLUSION In MS, certain quantitative SC-MRI indices change over 5 years, reflecting ongoing tissue changes. Subject-specific trajectories of SC-MRI index change at 2 and 5 years are strongly correlated and highly relevant to follow-up disability. These findings suggest that individual dynamics of change should be accounted for when interpreting longitudinal SC-MRI measures and that measuring short-term change is predictive of long-term clinical disability.
Collapse
Affiliation(s)
- Jiwon Oh
- Division of Neurology, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada/Department of Neurology, Johns Hopkins University, Baltimore, MD, USA
| | - Min Chen
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA/Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Kateryna Cybulsky
- Division of Neurology, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - Suradech Suthiphosuwan
- Division of Neurology, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada/Division of Neuroradiology, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - Estelle Seyman
- Division of Neurology, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - Blake Dewey
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA/F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Marie Diener-West
- Department of Biostatistics, Johns Hopkins University, Baltimore, MD, USA
| | - Peter van Zijl
- F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA/Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA
| | - Jerry Prince
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA/Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Daniel S Reich
- Department of Neurology, Johns Hopkins University, Baltimore, MD, USA/Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA/Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Peter A Calabresi
- Department of Neurology, Johns Hopkins University, Baltimore, MD, USA
| |
Collapse
|
16
|
Bomprezzi R, Chen AP, Hemond CC. Cervical spondylosis is a risk factor for localized spinal cord lesions in multiple sclerosis. Clin Neurol Neurosurg 2020; 199:106311. [DOI: 10.1016/j.clineuro.2020.106311] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 10/09/2020] [Accepted: 10/12/2020] [Indexed: 11/28/2022]
|
17
|
Imaging of the Spinal Cord in Multiple Sclerosis: Past, Present, Future. Brain Sci 2020; 10:brainsci10110857. [PMID: 33202821 PMCID: PMC7696997 DOI: 10.3390/brainsci10110857] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2020] [Revised: 10/30/2020] [Accepted: 11/11/2020] [Indexed: 11/17/2022] Open
Abstract
Spinal cord imaging in multiple sclerosis (MS) plays a significant role in diagnosing and tracking disease progression. The spinal cord is one of four key areas of the central nervous system where documenting the dissemination in space in the McDonald criteria for diagnosing MS. Spinal cord lesion load and the severity of cord atrophy are believed to be more relevant to disability than white matter lesions in the brain in different phenotypes of MS. Axonal loss contributes to spinal cord atrophy in MS and its degree correlates with disease severity and prognosis. Therefore, measures of axonal loss are often reliable biomarkers for monitoring disease progression. With recent technical advances, more and more qualitative and quantitative MRI techniques have been investigated in an attempt to provide objective and reliable diagnostic and monitoring biomarkers in MS. In this article, we discuss the role of spinal cord imaging in the diagnosis and prognosis of MS and, additionally, we review various techniques that may improve our understanding of the disease.
Collapse
|
18
|
Bonacchi R, Pagani E, Meani A, Cacciaguerra L, Preziosa P, De Meo E, Filippi M, Rocca MA. Clinical Relevance of Multiparametric MRI Assessment of Cervical Cord Damage in Multiple Sclerosis. Radiology 2020; 296:605-615. [PMID: 32573387 DOI: 10.1148/radiol.2020200430] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Background In multiple sclerosis (MS), knowledge about how spinal cord abnormalities translate into clinical manifestations is incomplete. Comprehensive, multiparametric MRI studies are useful in this perspective, but studies for the spinal cord are lacking. Purpose To identify MRI features of cervical spinal cord damage that could help predict disability and disease course in MS by using a comprehensive, multiparametric MRI approach. Materials and Methods In this retrospective hypothesis-driven analysis of longitudinally acquired data between June 2017 and April 2019, 120 patients with MS (58 with relapsing-remitting MS [RRMS] and 62 with progressive MS [PMS]) and 30 age- and sex-matched healthy control participants underwent 3.0-T MRI of the brain and cervical spinal cord. Cervical spinal cord MRI was performed with three-dimensional (3D) T1-weighted, T2-weighted, and diffusion-weighted imaging; sagittal two-dimensional (2D) short inversion time inversion-recovery imaging; and axial 2D phase-sensitive inversion-recovery imaging at the C2-C3 level. Brain MRI was performed with 3D T1-weighted, fluid-attenuated inversion-recovery and T2-weighted sequences. Associations between MRI variables and disability were explored with age-, sex- and phenotype-adjusted linear models. Results In patients with MS, multivariable analysis identified phenotype, cervical spinal cord gray matter (GM) cross-sectional area (CSA), lateral funiculi fractional anisotropy (FA), and brain GM volume as independent predictors of Expanded Disability Status Scale (EDSS) score (R2 = 0.86). The independent predictors of EDSS score in RRMS were lateral funiculi FA, normalized brain volume, and cervical spinal cord GM T2 lesion volume (R2 = 0.51). The independent predictors of EDSS score in PMS were cervical spinal cord GM CSA and brain GM volume (R2 = 0.44). Logistic regression analysis identified cervical spinal cord GM CSA and T2 lesion volume as independent predictors of phenotype (area under the receiver operating characteristic curve = 0.95). An optimal cervical spinal cord GM CSA cut-off value of 11.1 mm2 was found to enable accurate differentiation of patients with PMS, having values below the threshold, from those with RRMS (sensitivity = 90% [56 of 62], specificity = 91% [53 of 58]). Conclusion Cervical spinal cord MRI involvement has a central role in explaining disability in multiple sclerosis (MS): Lesion-induced damage in the lateral funiculi and gray matter (GM) in relapsing-remitting MS and GM atrophy in patients with progressive MS are the most relevant variables. Cervical spinal cord GM atrophy is an accurate predictor of progressive phenotype. Cervical spinal cord GM lesions may subsequently cause GM atrophy, which may contribute to evolution to PMS. © RSNA, 2020 Online supplemental material is available for this article. See also the editorial by Zivadinov and Bergsland in this issue.
Collapse
Affiliation(s)
- Raffaello Bonacchi
- From the Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience (R.B., E.P., A.M., L.C., P.P., E.D.M., M.F., M.A.R.), Neurology Unit (R.B., L.C., P.P., E.D.M., M.F., M.A.R.), and Neurophysiology Unit (M.F.), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, Milan 20132, Italy; and Vita-Salute San Raffaele University, Milan, Italy (R.B., L.C., E.D.M., M.F.)
| | - Elisabetta Pagani
- From the Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience (R.B., E.P., A.M., L.C., P.P., E.D.M., M.F., M.A.R.), Neurology Unit (R.B., L.C., P.P., E.D.M., M.F., M.A.R.), and Neurophysiology Unit (M.F.), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, Milan 20132, Italy; and Vita-Salute San Raffaele University, Milan, Italy (R.B., L.C., E.D.M., M.F.)
| | - Alessandro Meani
- From the Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience (R.B., E.P., A.M., L.C., P.P., E.D.M., M.F., M.A.R.), Neurology Unit (R.B., L.C., P.P., E.D.M., M.F., M.A.R.), and Neurophysiology Unit (M.F.), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, Milan 20132, Italy; and Vita-Salute San Raffaele University, Milan, Italy (R.B., L.C., E.D.M., M.F.)
| | - Laura Cacciaguerra
- From the Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience (R.B., E.P., A.M., L.C., P.P., E.D.M., M.F., M.A.R.), Neurology Unit (R.B., L.C., P.P., E.D.M., M.F., M.A.R.), and Neurophysiology Unit (M.F.), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, Milan 20132, Italy; and Vita-Salute San Raffaele University, Milan, Italy (R.B., L.C., E.D.M., M.F.)
| | - Paolo Preziosa
- From the Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience (R.B., E.P., A.M., L.C., P.P., E.D.M., M.F., M.A.R.), Neurology Unit (R.B., L.C., P.P., E.D.M., M.F., M.A.R.), and Neurophysiology Unit (M.F.), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, Milan 20132, Italy; and Vita-Salute San Raffaele University, Milan, Italy (R.B., L.C., E.D.M., M.F.)
| | - Ermelinda De Meo
- From the Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience (R.B., E.P., A.M., L.C., P.P., E.D.M., M.F., M.A.R.), Neurology Unit (R.B., L.C., P.P., E.D.M., M.F., M.A.R.), and Neurophysiology Unit (M.F.), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, Milan 20132, Italy; and Vita-Salute San Raffaele University, Milan, Italy (R.B., L.C., E.D.M., M.F.)
| | - Massimo Filippi
- From the Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience (R.B., E.P., A.M., L.C., P.P., E.D.M., M.F., M.A.R.), Neurology Unit (R.B., L.C., P.P., E.D.M., M.F., M.A.R.), and Neurophysiology Unit (M.F.), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, Milan 20132, Italy; and Vita-Salute San Raffaele University, Milan, Italy (R.B., L.C., E.D.M., M.F.)
| | - Maria A Rocca
- From the Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience (R.B., E.P., A.M., L.C., P.P., E.D.M., M.F., M.A.R.), Neurology Unit (R.B., L.C., P.P., E.D.M., M.F., M.A.R.), and Neurophysiology Unit (M.F.), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, Milan 20132, Italy; and Vita-Salute San Raffaele University, Milan, Italy (R.B., L.C., E.D.M., M.F.)
| |
Collapse
|
19
|
Rocca MA, Preziosa P, Filippi M. What role should spinal cord MRI take in the future of multiple sclerosis surveillance? Expert Rev Neurother 2020; 20:783-797. [PMID: 32133874 DOI: 10.1080/14737175.2020.1739524] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
INTRODUCTION In multiple sclerosis (MS), inflammatory, demyelinating, and neurodegenerative phenomena affect the spinal cord, with detrimental effects on patients' clinical disability. Although spinal cord imaging may be challenging, improvements in MRI technologies have contributed to better evaluate spinal cord involvement in MS. AREAS COVERED This review summarizes the current state-of-art of the application of conventional and advanced MRI techniques to evaluate spinal cord damage in MS. Typical features of spinal cord lesions, their role in the diagnostic work-up of suspected MS, their predictive role for subsequent disease course and clinical worsening, and their utility to define treatment response are discussed. The role of spinal cord atrophy and of other advanced MRI techniques to better evaluate the associations between spinal cord abnormalities and the accumulation of clinical disability are also evaluated. Finally, how spinal cord assessment could evolve in the future to improve monitoring of disease progression and treatment effects is examined. EXPERT OPINION Spinal cord MRI provides relevant additional information to brain MRI in understanding MS pathophysiology, in allowing an earlier and more accurate diagnosis of MS, and in identifying MS patients at higher risk to develop more severe disability. A future role in monitoring the effects of treatments is also foreseen.
Collapse
Affiliation(s)
- Maria A Rocca
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute , Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute , Milan, Italy
| | - Paolo Preziosa
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute , Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute , Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute , Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute , Milan, Italy.,Neurophysiology Unit, IRCCS San Raffaele Scientific Institute , Milan, Italy.,Vita-Salute San Raffaele University , Milan, Italy
| |
Collapse
|
20
|
Abstract
Magnetic resonance imaging (MRI) has revolutionized the diagnosis and management of people living with multiple sclerosis (MS). However, conventional MRI sequences and measures currently used in clinical practice have limitations in the appropriate diagnosis, prediction of future disability, and monitoring of disease activity in MS. A specific challenge is the accurate and timely diagnosis of progressive subtypes of MS. This article will summarize emerging MRI measures that may be of utility as clinical tools in diagnosis and prediction in MS. Although a wide range of MRI techniques have different strengths and weaknesses, those that will be discussed in this article include the "central vein sign," leptomeningeal inflammation/enhancement, conventional and quantitative spinal cord imaging, susceptibility-weighted imaging, and high-field MRI techniques. There are a number of novel and emerging MRI techniques that hold promise in improving diagnosis, prediction, and disease monitoring in MS.
Collapse
Affiliation(s)
- Jiwon Oh
- Division of Neurology, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada/Department of Neurology, Johns Hopkins University, Baltimore, MD, USA
| | - Nancy L Sicotte
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| |
Collapse
|
21
|
Cortese R, Tur C, Prados F, Schneider T, Kanber B, Moccia M, Wheeler-Kingshott CAG, Thompson AJ, Barkhof F, Ciccarelli O. Ongoing microstructural changes in the cervical cord underpin disability progression in early primary progressive multiple sclerosis. Mult Scler 2020; 27:28-38. [PMID: 31961242 DOI: 10.1177/1352458519900971] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Pathology in the spinal cord of patients with primary progressive multiple sclerosis (PPMS) contributes to disability progression. We previously reported abnormal Q-space imaging (QSI)-derived indices in the spinal cord at baseline in patients with early PPMS, suggesting early neurodegeneration. OBJECTIVE The aim was to investigate whether changes in spinal cord QSI over 3 years in the same cohort are associated with disability progression and if baseline QSI metrics predict clinical outcome. METHODS Twenty-three PPMS patients and 23 healthy controls recruited at baseline were invited for follow-up cervical cord 3T magnetic resonance imaging (MRI) and clinical assessment after 1 year and 3 years. Cord cross-sectional area (CSA) and QSI measures were obtained, together with standard brain MRI measures. Mixed-effect models assessed MRI changes over time and their association with clinical changes. Linear regression identified baseline MRI indices associated with disability at 3 years. RESULTS Over time, patients deteriorated clinically and showed an increase in cord QSI indices of perpendicular diffusivity that was associated with disability worsening, independently of the decrease in CSA. Higher perpendicular diffusivity and lower CSA at baseline predicted worse disability at 3 years. CONCLUSION Increasing spinal cord perpendicular diffusivity may indicate ongoing neurodegeneration, which underpins disability progression in PPMS, independently of the development of spinal cord atrophy.
Collapse
Affiliation(s)
- Rosa Cortese
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Carmen Tur
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Ferran Prados
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, UK/Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College of London, London, UK/Universitat Oberta de Catalunya, Barcelona, Spain
| | | | - Baris Kanber
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, UK/Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College of London, London, UK/Biomedical Research Centre, University College London Hospitals (UCLH), National Institute for Health Research (NIHR), London, UK
| | - Marcello Moccia
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, UK/MS Clinical Care and Research Centre, Department of Neuroscience, Federico II University, Naples, Italy
| | - Claudia Am Gandini Wheeler-Kingshott
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, UK/Brain MRI 3T Research Center, C. Mondino National Neurological Institute, Pavia, Italy/Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Alan J Thompson
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Frederik Barkhof
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, UK/Department of Radiology and Nuclear Medicine, MS Centre Amsterdam, VU Medical Centre, Amsterdam, The Netherlands/Biomedical Research Centre, University College London Hospitals (UCLH), National Institute for Health Research (NIHR), London, UK
| | - Olga Ciccarelli
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, UK/Biomedical Research Centre, University College London Hospitals (UCLH), National Institute for Health Research (NIHR), London, UK
| |
Collapse
|
22
|
Correlation between spinal cord diffusion tensor imaging and postural response latencies in persons with multiple sclerosis: A pilot study. Magn Reson Imaging 2019; 66:226-231. [PMID: 31704395 DOI: 10.1016/j.mri.2019.11.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Revised: 10/11/2019] [Accepted: 11/03/2019] [Indexed: 11/23/2022]
Abstract
PURPOSE Longer latency of postural response in multiple sclerosis (MS) may be linked to imbalance and increased likelihood of falls. It may be caused by the compromised microstructural integrity in the spinal cord, as evidenced by slowed somatosensory conduction in the spinal cord. Thus, the purpose of this study is to investigate the correlation between latency of postural responses and microstructural integrity of the cervical spinal cord, the region particularly related to the disease severity in MS, using diffusion tensor imaging (DTI) metrics. METHODS Seventeen persons with MS with mild-to-moderate disease severity were enrolled in this study. Postural response latencies of each patient were measured using electromyography of the tibialis anterior muscle (TA) and gastrocnemius muscle (GN) in response to surface perturbations. Cervical spinal cord DTI images were obtained from each patient. DTI mean, radial, axial diffusivity, and fractional anisotropy (FA) were measured between segments C4 and C6. Correlations of DTI metrics with postural response latencies, expanded disability status scale (EDSS) scores, and 25-foot walk (T25FW) were assessed using the Spearman's rank correlation coefficient at α = 0.05. RESULTS Lower FA was significantly correlated with longer latencies measured on right TA in response to forward postural perturbations (r = -0.51, p = .04). DTI metrics showed no significant correlations with EDSS scores (r = -0.06-0.09, p = .73-0.95) or T25FW (r = -0.1-0.14, p = .6-0.94). DTI metrics showed no significant differences between subjects with and without spinal cord lesions (p = .2-0.7). CONCLUSIONS Our results showed a significant correlation between lower FA in the cervical spinal cord and longer latencies measured on right TA in response to forward postural perturbations in persons with MS, suggesting that impaired cervical spinal cord microstructure assessed by DTI may be associated with the delayed postural responses.
Collapse
|
23
|
Andelova M, Uher T, Krasensky J, Sobisek L, Kusova E, Srpova B, Vodehnalova K, Friedova L, Motyl J, Preiningerova JL, Kubala Havrdova E, Horakova D, Vaneckova M. Additive Effect of Spinal Cord Volume, Diffuse and Focal Cord Pathology on Disability in Multiple Sclerosis. Front Neurol 2019; 10:820. [PMID: 31447759 PMCID: PMC6691803 DOI: 10.3389/fneur.2019.00820] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Accepted: 07/16/2019] [Indexed: 11/30/2022] Open
Abstract
Introduction: Spinal cord (SC) pathology is strongly associated with disability in multiple sclerosis (MS). We aimed to evaluate the association between focal and diffuse SC abnormalities and spinal cord volume and to assess their contribution to physical disability in MS patients. Methods: This large sample-size cross-sectional study investigated 1,249 patients with heterogeneous MS phenotypes. Upper cervical-cord cross-sectional area (MUCCA) was calculated on an axial 3D-T2w-FatSat sequence acquired at 3T using a novel semiautomatic edge-finding tool. SC images were scored for the presence of sharply demarcated hyperintense areas (focal lesions) and homogenously increased signal intensity (diffuse changes). Patients were dichotomized according EDSS in groups with mild (EDSS up to 3.0) and moderate (EDSS ≥ 3.5) physical disability. Analysis of covariance was used to identify factors associated with dichotomized MUCCA. In binary logistic regression, the SC imaging parameters were entered in blocks to assess their individual contribution to risk of moderate disability. In order to assess the risk of combined SC damage in terms of atrophy and lesional pathology on disability, secondary analysis was carried out where patients were divided into four categories (SC phenotypes) according to median dichotomized MUCCA and presence/absence of focal and/or diffuse changes. Results: MUCCA was strongly associated with total intracranial volume, followed by presence of diffuse SC pathology, and disease duration. Compared to the reference group (normally appearing SC, MUCCA>median), patients with the most severe SC changes (SC affected with focal and/or diffuse lesions, MUCCA
Collapse
Affiliation(s)
- Michaela Andelova
- Department of Neurology, First Faculty of Medicine, Center of Clinical Neuroscience, Charles University and General University Hospital in Prague, Prague, Czechia
| | - Tomas Uher
- Department of Neurology, First Faculty of Medicine, Center of Clinical Neuroscience, Charles University and General University Hospital in Prague, Prague, Czechia
| | - Jan Krasensky
- Department of Radiology, Charles University in Prague, 1st Faculty of Medicine and General University Hospital, Prague, Czechia
| | | | - Eliska Kusova
- Department of Radiology, Charles University in Prague, 1st Faculty of Medicine and General University Hospital, Prague, Czechia
| | - Barbora Srpova
- Department of Neurology, First Faculty of Medicine, Center of Clinical Neuroscience, Charles University and General University Hospital in Prague, Prague, Czechia
| | - Karolina Vodehnalova
- Department of Neurology, First Faculty of Medicine, Center of Clinical Neuroscience, Charles University and General University Hospital in Prague, Prague, Czechia
| | - Lucie Friedova
- Department of Neurology, First Faculty of Medicine, Center of Clinical Neuroscience, Charles University and General University Hospital in Prague, Prague, Czechia
| | - Jiri Motyl
- Department of Neurology, First Faculty of Medicine, Center of Clinical Neuroscience, Charles University and General University Hospital in Prague, Prague, Czechia
| | - Jana Lizrova Preiningerova
- Department of Neurology, First Faculty of Medicine, Center of Clinical Neuroscience, Charles University and General University Hospital in Prague, Prague, Czechia
| | - Eva Kubala Havrdova
- Department of Neurology, First Faculty of Medicine, Center of Clinical Neuroscience, Charles University and General University Hospital in Prague, Prague, Czechia
| | - Dana Horakova
- Department of Neurology, First Faculty of Medicine, Center of Clinical Neuroscience, Charles University and General University Hospital in Prague, Prague, Czechia
| | - Manuela Vaneckova
- Department of Radiology, Charles University in Prague, 1st Faculty of Medicine and General University Hospital, Prague, Czechia
| |
Collapse
|
24
|
|
25
|
Moccia M, Ruggieri S, Ianniello A, Toosy A, Pozzilli C, Ciccarelli O. Advances in spinal cord imaging in multiple sclerosis. Ther Adv Neurol Disord 2019; 12:1756286419840593. [PMID: 31040881 PMCID: PMC6477770 DOI: 10.1177/1756286419840593] [Citation(s) in RCA: 66] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Accepted: 03/03/2019] [Indexed: 11/18/2022] Open
Abstract
The spinal cord is frequently affected in multiple sclerosis (MS), causing motor, sensory and autonomic dysfunction. A number of pathological abnormalities, including demyelination and neuroaxonal loss, occur in the MS spinal cord and are studied in vivo with magnetic resonance imaging (MRI). The aim of this review is to summarise and discuss recent advances in spinal cord MRI. Advances in conventional spinal cord MRI include improved identification of MS lesions, recommended spinal cord MRI protocols, enhanced recognition of MRI lesion characteristics that allow MS to be distinguished from other myelopathies, evidence for the role of spinal cord lesions in predicting prognosis and monitoring disease course, and novel post-processing methods to obtain lesion probability maps. The rate of spinal cord atrophy is greater than that of brain atrophy (-1.78% versus -0.5% per year), and reflects neuroaxonal loss in an eloquent site of the central nervous system, suggesting that it can become an important outcome measure in clinical trials, especially in progressive MS. Recent developments allow the calculation of spinal cord atrophy from brain volumetric scans and evaluation of its progression over time with registration-based techniques. Fully automated analysis methods, including segmentation of grey matter and intramedullary lesions, will facilitate the use of spinal cord atrophy in trial designs and observational studies. Advances in quantitative imaging techniques to evaluate neuroaxonal integrity, myelin content, metabolic changes, and functional connectivity, have provided new insights into the mechanisms of damage in MS. Future directions of research and the possible impact of 7T scanners on spinal cord imaging will be discussed.
Collapse
Affiliation(s)
- Marcello Moccia
- Queen Square MS Centre, NMR Research Unit, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Multiple Sclerosis Clinical Care and Research Centre, Department of Neurosciences, Federico II University of Naples, via Sergio Pansini, 5, Edificio 17 - piano terra, Napoli, 80131 Naples, Italy
| | - Serena Ruggieri
- Department of Human Neuroscience, Sapienza University of Rome, Italy
| | - Antonio Ianniello
- Department of Human Neuroscience, Sapienza University of Rome, Italy
| | - Ahmed Toosy
- Queen Square MS Centre, NMR Research Unit, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Carlo Pozzilli
- Department of Human Neuroscience, Sapienza University of Rome, Italy
| | - Olga Ciccarelli
- Queen Square MS Centre, NMR Research Unit, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- National Institute for Health Research, University College London Hospitals Biomedical Research Centre, London, UK
| |
Collapse
|
26
|
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: 13.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2018] [Revised: 11/09/2018] [Accepted: 11/14/2018] [Indexed: 12/13/2022]
|
27
|
Abstract
Spinal cord (SC) MRI in multiple sclerosis (MS) has significant usefulness in clinical and investigational settings. Conventional MRI of the SC is used in clinical practice, because it has both diagnostic and prognostic value. A number of advanced, quantitative SC MRI measures that assess the structural and functional integrity of the SC have been evaluated in investigational settings. These techniques have collectively demonstrated usefulness in providing insight into microstructural and functional changes relevant to disability in MS. With further development, these techniques may be useful in clinical trial settings as biomarkers of neurodegeneration and protection, and in day-to-day clinical practice.
Collapse
Affiliation(s)
- Alexandra Muccilli
- Division of Neurology, St. Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, Ontario, M5B 1W8, Canada; Division of Neurology, Centre Hospitalier de L'Université de Montréal, Université de Montréal, 1058 Saint-Denis Street, Montreal, Quebec H2X 3J4, Canada
| | - Estelle Seyman
- Division of Neurology, St. Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, Ontario, M5B 1W8, Canada
| | - Jiwon Oh
- Division of Neurology, St. Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, Ontario, M5B 1W8, Canada; Department of Neurology, Johns Hopkins University, Baltimore, MD, USA.
| |
Collapse
|
28
|
Keegan BM, Kaufmann TJ, Weinshenker BG, Kantarci OH, Schmalstieg WF, Paz Soldan MM, Flanagan EP. Progressive motor impairment from a critically located lesion in highly restricted CNS-demyelinating disease. Mult Scler 2018; 24:1445-1452. [DOI: 10.1177/1352458518781979] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Objective: To report progressive motor impairment from a critically located central nervous system (CNS) demyelinating lesion in patients with restricted magnetic resonance imaging (MRI)-lesion burden. Methods: We identified 38 patients with progressive upper motor-neuron impairment for >1 year, 2–5 MRI CNS-demyelinating lesions, with one seemingly anatomically responsible for progressive motor impairment. Patients with any alternative etiology for progressive motor impairment were excluded. A neuroradiologist blinded to clinical evaluation reviewed multiple brain and spinal-cord MRI, selecting a candidate critically located demyelinating lesion. Lesion characteristics were determined and subsequently compared with clinical course. Results: Median onset age was 47.5 years (24–64); 23 (61%) women. Median follow-up was 94 months (18–442); median Expanded Disability Status Scale Score (EDSS) at last follow-up was 4.5 (2–10). Clinical presentations were progressive: hemiparesis/monoparesis 31; quadriparesis 5; and paraparesis 2; 27 patients had progression from onset; 11 progression post-relapse. Total MRI lesions were 2 ( n = 8), 3 ( n = 12), 4 ( n = 12), and 5 ( n = 6). Critical lesions were located on corticospinal tracts, chronically atrophic in 26/38 (68%) and involved cervical spinal cord in 27, cervicomedullary/brainstem region in 6, thoracic spinal cord in 4, and subcortical white matter in 1. Conclusion: Progressive motor impairment may ascribe to a critically located CNS-demyelinating lesion in patients with highly restricted MRI burden. Motor progression from a specific demyelinating lesion has implications for understanding multiple sclerosis (MS) progression.
Collapse
Affiliation(s)
- B Mark Keegan
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | | | | | | | | | | | | |
Collapse
|
29
|
Petrova N, Carassiti D, Altmann DR, Baker D, Schmierer K. Axonal loss in the multiple sclerosis spinal cord revisited. Brain Pathol 2018; 28:334-348. [PMID: 28401686 PMCID: PMC8028682 DOI: 10.1111/bpa.12516] [Citation(s) in RCA: 63] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2017] [Accepted: 04/05/2017] [Indexed: 01/06/2023] Open
Abstract
Preventing chronic disease deterioration is an unmet need in people with multiple sclerosis, where axonal loss is considered a key substrate of disability. Clinically, chronic multiple sclerosis often presents as progressive myelopathy. Spinal cord cross-sectional area (CSA) assessed using MRI predicts increasing disability and has, by inference, been proposed as an indirect index of axonal degeneration. However, the association between CSA and axonal loss, and their correlation with demyelination, have never been systematically investigated using human post mortem tissue. We extensively sampled spinal cords of seven women and six men with multiple sclerosis (mean disease duration= 29 years) and five healthy controls to quantify axonal density and its association with demyelination and CSA. 396 tissue blocks were embedded in paraffin and immuno-stained for myelin basic protein and phosphorylated neurofilaments. Measurements included total CSA, areas of (i) lateral cortico-spinal tracts, (ii) gray matter, (iii) white matter, (iv) demyelination, and the number of axons within the lateral cortico-spinal tracts. Linear mixed models were used to analyze relationships. In multiple sclerosis CSA reduction at cervical, thoracic and lumbar levels ranged between 19 and 24% with white (19-24%) and gray (17-21%) matter atrophy contributing equally across levels. Axonal density in multiple sclerosis was lower by 57-62% across all levels and affected all fibers regardless of diameter. Demyelination affected 24-48% of the gray matter, most extensively at the thoracic level, and 11-13% of the white matter, with no significant differences across levels. Disease duration was associated with reduced axonal density, however not with any area index. Significant association was detected between focal demyelination and decreased axonal density. In conclusion, over nearly 30 years multiple sclerosis reduces axonal density by 60% throughout the spinal cord. Spinal cord cross sectional area, reduced by about 20%, appears to be a poor predictor of axonal density.
Collapse
Affiliation(s)
- Natalia Petrova
- Blizard Institute (Neuroscience), Barts and the London School of Medicine & DentistryQueen Mary University of LondonLondonUK
| | - Daniele Carassiti
- Blizard Institute (Neuroscience), Barts and the London School of Medicine & DentistryQueen Mary University of LondonLondonUK
| | | | - David Baker
- Blizard Institute (Neuroscience), Barts and the London School of Medicine & DentistryQueen Mary University of LondonLondonUK
| | - Klaus Schmierer
- Blizard Institute (Neuroscience), Barts and the London School of Medicine & DentistryQueen Mary University of LondonLondonUK
- Neurosciences Clinical Academic Groupthe Royal London Hospital, Barts Health NHS TrustLondonUK
| |
Collapse
|
30
|
Diffusivity in the core of chronic multiple sclerosis lesions. PLoS One 2018; 13:e0194142. [PMID: 29694345 PMCID: PMC5918637 DOI: 10.1371/journal.pone.0194142] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2017] [Accepted: 02/13/2018] [Indexed: 12/31/2022] Open
Abstract
Background Diffusion tensor imaging (DTI) has been suggested as a potential biomarker of disease progression, neurodegeneration and de/remyelination in MS. However, the pathological substrates that underpin alterations in brain diffusivity are not yet fully delineated. We propose that in highly cohesive fiber tracts: 1) a relative increase in parallel (axial) diffusivity (AD) may serve as a measure of increased extra-cellular space (ESC) within the core of chronic MS lesions and, as a result, may provide an estimate of the degree of tissue destruction, and 2) the contribution of the increased extra-cellular water to perpendicular (radial) diffusivity (RD) can be eliminated to provide a more accurate assessment of membranal (myelin) loss. Objective The purpose of this study was to isolate the contribution of extra-cellular water and demyelination to observed DTI indices in the core of chronic MS lesions, using the OR as an anatomically cohesive tract. Method Pre- and post-gadolinium (Gd) enhanced T1, T2 and DTI images were acquired from 75 consecutive RRMS patients. In addition, 25 age and gender matched normal controls were imaged using an identical MRI protocol (excluding Gd). The optic radiation (OR) was identified in individual patients using probabilistic tractography. The T2 lesions were segmented and intersected with the OR. Average eigenvalues were calculated within the core of OR lesions mask. The proportion of extra-cellular space (ECS) within the lesional core was calculated based on relative increase of AD, which was then used to normalise the perpendicular eigenvalues to eliminate the effect of the expanded ECS. In addition, modelling was implemented to simulate potential effect of various factors on lesional anisotropy. Results Of 75 patients, 41 (55%) demonstrated sizable T2 lesion volume within the ORs. All lesional eigenvalues were significantly higher compared to NAWM and controls. There was a strong correlation between AD and RD within the core of OR lesions, which was, however, not seen in OR NAWM of MS patients or normal controls. In addition, lesional anisotropy (FA) was predominantly driven by the perpendicular diffusivity, while in NAWM and in OR of normal controls all eigenvectors contributed to variation in FA. Estimated volume of ECS component constituted significant proportion of OR lesional volume and correlated significantly with lesional T1 hypointensity. While perpendicular diffusivity dropped significantly following normalisation, it still remained higher compared with diffusivity in OR NAWM. The “residual” perpendicular diffusivity also showed a substantial reduction of inter-subject variability. Both observed and modelled diffusion data suggested anisotropic nature of water diffusion in ESC. In addition, the simulation procedure offered a possible explanation for the discrepancy in relationship between eigenvalues and anisotropy in lesional tissue and NAWM. Conclusion This paper presents a potential technique for more reliably quantifying the effects of neurodegeneration (tissue loss) versus demyelination in OR MS lesions. This may provide a simple and effective way for applying single tract diffusion analysis in MS clinical trials, with particular relevance to pro-remyelinating and neuroprotective therapeutics.
Collapse
|
31
|
Sinnecker T, Granziera C, Wuerfel J, Schlaeger R. Future Brain and Spinal Cord Volumetric Imaging in the Clinic for Monitoring Treatment Response in MS. Curr Treat Options Neurol 2018; 20:17. [PMID: 29679165 DOI: 10.1007/s11940-018-0504-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
PURPOSE OF REVIEW Volumetric analysis of brain imaging has emerged as a standard approach used in clinical research, e.g., in the field of multiple sclerosis (MS), but its application in individual disease course monitoring is still hampered by biological and technical limitations. This review summarizes novel developments in volumetric imaging on the road towards clinical application to eventually monitor treatment response in patients with MS. RECENT FINDINGS In addition to the assessment of whole-brain volume changes, recent work was focused on the volumetry of specific compartments and substructures of the central nervous system (CNS) in MS. This included volumetric imaging of the deep brain structures and of the spinal cord white and gray matter. Volume changes of the latter indeed independently correlate with clinical outcome measures especially in progressive MS. Ultrahigh field MRI and quantitative MRI added to this trend by providing a better visualization of small compartments on highly resolving MR images as well as microstructural information. New developments in volumetric imaging have the potential to improve sensitivity as well as specificity in detecting and hence monitoring disease-related CNS volume changes in MS.
Collapse
Affiliation(s)
- Tim Sinnecker
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Petersgraben 4, 4031, Basel, Switzerland
- Translational Imaging in Neurology (ThINK) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
- Medical Image Analysis Center Basel AG, Basel, Switzerland
- NeuroCure Clinical Research Center, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Cristina Granziera
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Petersgraben 4, 4031, Basel, Switzerland
- Translational Imaging in Neurology (ThINK) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Jens Wuerfel
- Medical Image Analysis Center Basel AG, Basel, Switzerland
- NeuroCure Clinical Research Center, Charité Universitätsmedizin Berlin, Berlin, Germany
- Berlin Ultrahigh Field Facility, Max Delbrück Center for Molecular Medicine, Berlin, Germany
| | - Regina Schlaeger
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Petersgraben 4, 4031, Basel, Switzerland.
- Translational Imaging in Neurology (ThINK) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.
| |
Collapse
|
32
|
Cohen-Adad J. Microstructural imaging in the spinal cord and validation strategies. Neuroimage 2018; 182:169-183. [PMID: 29635029 DOI: 10.1016/j.neuroimage.2018.04.009] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Revised: 03/02/2018] [Accepted: 04/06/2018] [Indexed: 12/13/2022] Open
Abstract
In vivo histology using magnetic resonance imaging (MRI) is a newly emerging research field that aims to non-invasively characterize tissue microstructure. The implications of in vivo histology are many, from discovering novel biomarkers to studying human development, to providing tools for disease diagnosis and monitoring the effects of novel treatments on tissue. This review focuses on quantitative MRI (qMRI) techniques that are used to map spinal cord microstructure. Opening with a rationale for non-invasive imaging of the spinal cord, this article continues with a brief overview of the existing MRI techniques for axon and myelin imaging, followed by the specific challenges and potential solutions for acquiring and processing such data. The final part of this review focuses on histological validation, with suggested tissue preparation, acquisition and processing protocols for large-scale microscopy.
Collapse
Affiliation(s)
- J Cohen-Adad
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada; Functional Neuroimaging Unit, CRIUGM, Université de Montréal, Montreal, QC, Canada.
| |
Collapse
|
33
|
Suleiman LI, Weber KA, Rosenthal BD, Bhatt SA, Savage JW, Hsu WK, Patel AA, Parrish TB. High-resolution magnetization transfer MRI in patients with cervical spondylotic myelopathy. J Clin Neurosci 2018. [PMID: 29530383 DOI: 10.1016/j.jocn.2018.02.023] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
Magnetization transfer (MT) contrast has been established as a marker of myelin integrity, and cervical spondylotic myelopathy is known to cause demyelination. Ten patients with clinical and magnetic resonance imaging (MRI) manifestations of cervical spondylotic myelopathy (CSM) were compared to the MRIs of seven historic healthy controls, using the magnetization transfer ratio (MTR) and Nurick scores as the primary metrics. Transverse slices through the intervertebral discs of the cervical spine were acquired using a gradient echo sequence (MEDIC) with and without an MT saturation pulse on a 3 Tesla Siemens Prisma scanner (TR = 300 ms, TEeff = 17 ms, flip angle = 30°, in-plane resolution = 0.47 × 0.47 mm2). The CSM patients tended to have a lower mean MTR (30.4 ± 6.5) than the controls (34.8 ± 3.8), but the difference was not significant (independent samples t-test, p = 0.110, Cohen's d = 0.80). The mean MTR across all intervertebral disc levels was not significantly correlated to the Nurick score (Spearman's ρ = -0.489, p = 0.151). The intervertebral level with the lowest MTR in each cohort was not significantly different between groups (equal variances not assumed, t = 1.965, dof = 14.8, p = 0.068, Cohen's d = 0.88), but the CSM patients tended to have a lower MTR. The mean MTR at this level was negatively correlated to the Nurick score among CSM patients (Spearman's ρ = -0.725, p = 0.018). CSM patients tended to have decreased MTR indicating myelin degradation compared to our healthy subjects, and MTR was negatively correlated with the severity of CSM.
Collapse
Affiliation(s)
- Linda I Suleiman
- Northwestern University, 676 N. Saint Clair, Suite 1350, Chicago, IL 60611, USA
| | - Kenneth A Weber
- Northwestern University, 676 N. Saint Clair, Suite 1350, Chicago, IL 60611, USA; Systems Neuroscience and Pain Lab, Department of Anesthesia, Perioperative and Pain Medicine, Stanford University, USA.
| | - Brett D Rosenthal
- Northwestern University, 676 N. Saint Clair, Suite 1350, Chicago, IL 60611, USA.
| | - Surabhi A Bhatt
- Northwestern University, 676 N. Saint Clair, Suite 1350, Chicago, IL 60611, USA.
| | - Jason W Savage
- Cleveland Clinic, Mail Code S40, 9500 Euclid Ave, Cleveland, OH 44195, USA
| | - Wellington K Hsu
- Northwestern University, 676 N. Saint Clair, Suite 1350, Chicago, IL 60611, USA
| | - Alpesh A Patel
- Northwestern University, 676 N. Saint Clair, Suite 1350, Chicago, IL 60611, USA
| | - Todd B Parrish
- Northwestern University, 676 N. Saint Clair, Suite 1350, Chicago, IL 60611, USA.
| |
Collapse
|
34
|
Winklewski PJ, Sabisz A, Naumczyk P, Jodzio K, Szurowska E, Szarmach A. Understanding the Physiopathology Behind Axial and Radial Diffusivity Changes-What Do We Know? Front Neurol 2018. [PMID: 29535676 PMCID: PMC5835085 DOI: 10.3389/fneur.2018.00092] [Citation(s) in RCA: 321] [Impact Index Per Article: 45.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
The use of the diffusion tensor imaging (DTI) is rapidly growing in the neuroimaging field. Nevertheless, rigorously performed quantitative validation of DTI pathologic metrics remains very limited owing to the difficulty in co-registering quantitative histology findings with magnetic resonance imaging. The aim of this review is to summarize the existing state-of-the-art knowledge with respect to axial (λ║) and radial (λ┴) diffusivity as DTI markers of axonal and myelin damage, respectively. First, we provide technical background for DTI and briefly discuss the specific organization of white matter in bundles of axonal fibers running in parallel; this is the natural target for imaging based on diffusion anisotropy. Second, we discuss the four seminal studies that paved the way for considering axial (λ║) and radial (λ┴) diffusivity as potential in vivo surrogate markers of axonal and myelin damage, respectively. Then, we present difficulties in interpreting axial (λ║) and radial (λ┴) diffusivity in clinical conditions associated with inflammation, edema, and white matter fiber crossing. Finally, future directions are highlighted. In summary, DTI can reveal strategic information with respect to white matter tracts, disconnection mechanisms, and related symptoms. Axial (λ║) and radial (λ┴) diffusivity seem to provide quite consistent information in healthy subjects, and in pathological conditions with limited edema and inflammatory changes. DTI remains one of the most promising non-invasive diagnostic tools in medicine.
Collapse
Affiliation(s)
- Pawel J Winklewski
- Department of Human Physiology, Medical University of Gdańsk, Gdańsk, Poland.,Department of Clinical Anatomy and Physiology, Pomeranian University in Słupsk, Słupsk, Poland.,2-nd Department of Radiology, Medical University of Gdańsk, Gdańsk, Poland
| | - Agnieszka Sabisz
- 2-nd Department of Radiology, Medical University of Gdańsk, Gdańsk, Poland
| | | | | | - Edyta Szurowska
- 2-nd Department of Radiology, Medical University of Gdańsk, Gdańsk, Poland
| | - Arkadiusz Szarmach
- 2-nd Department of Radiology, Medical University of Gdańsk, Gdańsk, Poland
| |
Collapse
|
35
|
Alcaide-Leon P, Cybulsky K, Sankar S, Casserly C, Leung G, Hohol M, Selchen D, Montalban X, Bharatha A, Oh J. Quantitative spinal cord MRI in radiologically isolated syndrome. NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION 2018; 5:e436. [PMID: 29359174 PMCID: PMC5773843 DOI: 10.1212/nxi.0000000000000436] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/13/2017] [Accepted: 11/06/2017] [Indexed: 01/20/2023]
Abstract
Objectives To assess whether quantitative spinal cord MRI (SC-MRI) measures, including atrophy, and diffusion tensor imaging (DTI) and magnetization transfer imaging metrics were different in radiologically isolated syndrome (RIS) vs healthy controls (HCs). Methods Twenty-four participants with RIS and 14 HCs underwent cervical SC-MRI on a 3T magnet. Manually segmented regions of interest circumscribing the spinal cord cross-sectional area (SC-CSA) between C3 and C4 were used to extract SC-CSA, fractional anisotropy, mean, perpendicular, and parallel diffusivity (MD, λ⊥, and λ||) and magnetization transfer ratio (MTR). Spinal cord (SC) lesions, SC gray matter (GM), and SC white matter (WM) areas were also manually segmented. Multivariable linear regression was performed to evaluate differences in SC-MRI measures in RIS vs HCs, while controlling for age and sex. Results In this cross-sectional study of participants with RIS, 71% had lesions in the cervical SC. Of quantitative SC-MRI metrics, spinal cord MTR showed a trend toward being lower in RIS vs HCs (p = 0.06), and there was already evidence of brain atrophy (p = 0.05). There were no significant differences in SC-DTI metrics, GM, WM, or CSA between RIS and HCs. Conclusion The SC demonstrates minimal microstructural changes suggestive of demyelination and inflammation in RIS. These findings are in contrast to established MS and raise the possibility that the SC may play an important role in triggering clinical symptomatology in MS. Prospective follow-up of this cohort will provide additional insights into the role the SC plays in the complex sequence of events related to MS disease initiation and progression.
Collapse
Affiliation(s)
- Paula Alcaide-Leon
- Division of Neurology (P.A.-L., K.C., S.S., C.C., M.H., D.S., X.M., J.O.), Department of Medicine; Division of Neuroradiology (P.A.-L., G.L., A.B.), Department of Medical Imaging; Division of Neurosurgery (A.B.), Department of Surgery, St. Michael's Hospital, University of Toronto, Ontario, Canada; Department of Neurology-Neuroimmunology Neurorehabilitation Unit (X.M.), Multiple Sclerosis Center of Catalonia (Cemcat), Barcelona, Spain; and Department of Neurology (J.O.), Johns Hopkins University, Baltimore, MD
| | - Kateryna Cybulsky
- Division of Neurology (P.A.-L., K.C., S.S., C.C., M.H., D.S., X.M., J.O.), Department of Medicine; Division of Neuroradiology (P.A.-L., G.L., A.B.), Department of Medical Imaging; Division of Neurosurgery (A.B.), Department of Surgery, St. Michael's Hospital, University of Toronto, Ontario, Canada; Department of Neurology-Neuroimmunology Neurorehabilitation Unit (X.M.), Multiple Sclerosis Center of Catalonia (Cemcat), Barcelona, Spain; and Department of Neurology (J.O.), Johns Hopkins University, Baltimore, MD
| | - Stephanie Sankar
- Division of Neurology (P.A.-L., K.C., S.S., C.C., M.H., D.S., X.M., J.O.), Department of Medicine; Division of Neuroradiology (P.A.-L., G.L., A.B.), Department of Medical Imaging; Division of Neurosurgery (A.B.), Department of Surgery, St. Michael's Hospital, University of Toronto, Ontario, Canada; Department of Neurology-Neuroimmunology Neurorehabilitation Unit (X.M.), Multiple Sclerosis Center of Catalonia (Cemcat), Barcelona, Spain; and Department of Neurology (J.O.), Johns Hopkins University, Baltimore, MD
| | - Courtney Casserly
- Division of Neurology (P.A.-L., K.C., S.S., C.C., M.H., D.S., X.M., J.O.), Department of Medicine; Division of Neuroradiology (P.A.-L., G.L., A.B.), Department of Medical Imaging; Division of Neurosurgery (A.B.), Department of Surgery, St. Michael's Hospital, University of Toronto, Ontario, Canada; Department of Neurology-Neuroimmunology Neurorehabilitation Unit (X.M.), Multiple Sclerosis Center of Catalonia (Cemcat), Barcelona, Spain; and Department of Neurology (J.O.), Johns Hopkins University, Baltimore, MD
| | - General Leung
- Division of Neurology (P.A.-L., K.C., S.S., C.C., M.H., D.S., X.M., J.O.), Department of Medicine; Division of Neuroradiology (P.A.-L., G.L., A.B.), Department of Medical Imaging; Division of Neurosurgery (A.B.), Department of Surgery, St. Michael's Hospital, University of Toronto, Ontario, Canada; Department of Neurology-Neuroimmunology Neurorehabilitation Unit (X.M.), Multiple Sclerosis Center of Catalonia (Cemcat), Barcelona, Spain; and Department of Neurology (J.O.), Johns Hopkins University, Baltimore, MD
| | - Marika Hohol
- Division of Neurology (P.A.-L., K.C., S.S., C.C., M.H., D.S., X.M., J.O.), Department of Medicine; Division of Neuroradiology (P.A.-L., G.L., A.B.), Department of Medical Imaging; Division of Neurosurgery (A.B.), Department of Surgery, St. Michael's Hospital, University of Toronto, Ontario, Canada; Department of Neurology-Neuroimmunology Neurorehabilitation Unit (X.M.), Multiple Sclerosis Center of Catalonia (Cemcat), Barcelona, Spain; and Department of Neurology (J.O.), Johns Hopkins University, Baltimore, MD
| | - Daniel Selchen
- Division of Neurology (P.A.-L., K.C., S.S., C.C., M.H., D.S., X.M., J.O.), Department of Medicine; Division of Neuroradiology (P.A.-L., G.L., A.B.), Department of Medical Imaging; Division of Neurosurgery (A.B.), Department of Surgery, St. Michael's Hospital, University of Toronto, Ontario, Canada; Department of Neurology-Neuroimmunology Neurorehabilitation Unit (X.M.), Multiple Sclerosis Center of Catalonia (Cemcat), Barcelona, Spain; and Department of Neurology (J.O.), Johns Hopkins University, Baltimore, MD
| | - Xavier Montalban
- Division of Neurology (P.A.-L., K.C., S.S., C.C., M.H., D.S., X.M., J.O.), Department of Medicine; Division of Neuroradiology (P.A.-L., G.L., A.B.), Department of Medical Imaging; Division of Neurosurgery (A.B.), Department of Surgery, St. Michael's Hospital, University of Toronto, Ontario, Canada; Department of Neurology-Neuroimmunology Neurorehabilitation Unit (X.M.), Multiple Sclerosis Center of Catalonia (Cemcat), Barcelona, Spain; and Department of Neurology (J.O.), Johns Hopkins University, Baltimore, MD
| | - Aditya Bharatha
- Division of Neurology (P.A.-L., K.C., S.S., C.C., M.H., D.S., X.M., J.O.), Department of Medicine; Division of Neuroradiology (P.A.-L., G.L., A.B.), Department of Medical Imaging; Division of Neurosurgery (A.B.), Department of Surgery, St. Michael's Hospital, University of Toronto, Ontario, Canada; Department of Neurology-Neuroimmunology Neurorehabilitation Unit (X.M.), Multiple Sclerosis Center of Catalonia (Cemcat), Barcelona, Spain; and Department of Neurology (J.O.), Johns Hopkins University, Baltimore, MD
| | - Jiwon Oh
- Division of Neurology (P.A.-L., K.C., S.S., C.C., M.H., D.S., X.M., J.O.), Department of Medicine; Division of Neuroradiology (P.A.-L., G.L., A.B.), Department of Medical Imaging; Division of Neurosurgery (A.B.), Department of Surgery, St. Michael's Hospital, University of Toronto, Ontario, Canada; Department of Neurology-Neuroimmunology Neurorehabilitation Unit (X.M.), Multiple Sclerosis Center of Catalonia (Cemcat), Barcelona, Spain; and Department of Neurology (J.O.), Johns Hopkins University, Baltimore, MD
| |
Collapse
|
36
|
Azodi S, Nair G, Enose-Akahata Y, Charlip E, Vellucci A, Cortese I, Dwyer J, Billioux BJ, Thomas C, Ohayon J, Reich DS, Jacobson S. Imaging spinal cord atrophy in progressive myelopathies: HTLV-I-associated neurological disease (HAM/TSP) and multiple sclerosis (MS). Ann Neurol 2017; 82:719-728. [PMID: 29024167 DOI: 10.1002/ana.25072] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2017] [Revised: 09/08/2017] [Accepted: 10/05/2017] [Indexed: 12/14/2022]
Abstract
OBJECTIVE Previous work measures spinal cord thinning in chronic progressive myelopathies, including human T-lymphotropic virus 1 (HTLV-1)-associated myelopathy/tropical spastic paraparesis (HAM/TSP) and multiple sclerosis (MS). Quantitative measurements of spinal cord atrophy are important in fully characterizing these and other spinal cord diseases. We aimed to investigate patterns of spinal cord atrophy and correlations with clinical markers. METHODS Spinal cord cross-sectional area was measured in individuals (24 healthy controls [HCs], 17 asymptomatic carriers of HTLV-1 (AC), 47 HAM/TSP, 74 relapsing-remitting MS [RRMS], 17 secondary progressive MS [SPMS], and 40 primary progressive MS [PPMS]) from C1 to T10. Clinical disability scores, viral markers, and immunological parameters were obtained for patients and correlated with representative spinal cord cross-sectional area regions at the C2 to C3, C4 to C5, and T4 to T9 levels. In 2 HAM/TSP patients, spinal cord cross-sectional area was measured over 3 years. RESULTS All spinal cord regions are thinner in HAM/TSP (56 mm2 [standard deviation, 10], 59 [10], 23 [5]) than in HC (76 [7], 83 [8], 38 [4]) and AC (71 [7], 78 [9], 36 [7]). SPMS (62 [9], 66 [9], 32 [6]) and PPMS (65 [11], 68 [10], 35 [7]) have thinner cervical cords than HC and RRMS (73 [9], 77 [10], 37 [6]). Clinical disability scores (Expanded Disability Status Scale [p = 0.009] and Instituto de Pesquisas de Cananeia [p = 0.03]) and CD8+ T-cell frequency (p = 0.04) correlate with T4 to T9 spinal cord cross-sectional area in HAM/TSP. Higher cerebrospinal fluid HTLV-1 proviral load (p = 0.01) was associated with thinner spinal cord cross-sectional area. Both HAM/TSP patients followed longitudinally showed thoracic thinning followed by cervical thinning. INTERPRETATION Group average spinal cord cross-sectional area in HAM/TSP and progressive MS show spinal cord atrophy. We further hypothesize in HAM/TSP that is possible that neuroglial loss from a thoracic inflammatory process results in anterograde and retrograde degeneration of axons, leading to the temporal progression of thoracic to cervical atrophy described here. Ann Neurol 2017;82:719-728.
Collapse
Affiliation(s)
- Shila Azodi
- Viral Immunology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD
| | - Govind Nair
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD
| | - Yoshimi Enose-Akahata
- Viral Immunology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD
| | - Emily Charlip
- Viral Immunology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD
| | - Ashley Vellucci
- Viral Immunology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD
| | - Irene Cortese
- Neuroimmunology Clinic, National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD
| | - Jenifer Dwyer
- Neuroimmunology Clinic, National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD
| | - B Jeanne Billioux
- Viral Immunology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD
| | - Chevaz Thomas
- Neuroimmunology Clinic, National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD
| | - Joan Ohayon
- Neuroimmunology Clinic, National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD
| | - Daniel S Reich
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD
| | - Steven Jacobson
- Viral Immunology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD
| |
Collapse
|
37
|
Choe AS, Sadowsky CL, Smith SA, van Zijl PCM, Pekar JJ, Belegu V. Subject-specific regional measures of water diffusion are associated with impairment in chronic spinal cord injury. Neuroradiology 2017; 59:747-758. [PMID: 28597208 DOI: 10.1007/s00234-017-1860-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2017] [Accepted: 05/28/2017] [Indexed: 12/14/2022]
Abstract
PURPOSE We aimed to identify non-invasive imaging parameters that can serve as biomarkers for the integrity of the spinal cord, which is paramount to neurological function. Diffusion tensor imaging (DTI) indices are sensitive to axonal and myelin damage, and have strong potential to serve as such biomarkers. However, averaging DTI indices over large regions of interest (ROIs), a common approach to analyzing the images of injured spinal cord, leads to loss of subject-specific information. We investigated if DTI-tractography-driven, subject-specific demarcation approach can yield measures that are more specific to impairment. METHODS In 18 individuals with chronic spinal cord injury (SCI), subject-specific demarcation of the injury region was performed using DTI tractography, which yielded three regions relative to injury (RRI; regions superior to, at, and below injury epicenter). DTI indices averaged over each RRI were correlated with measures of residual motor and sensory function, obtained using the International Standard of Neurological Classification for Spinal Cord Injury (ISNCSCI). RESULTS Total ISNCSCI score (ISNCSCI-tot; sum of ISNCSCI motor and sensory scores) was significantly (p < 0.05) correlated with fractional anisotropy and axial and radial diffusivities. ISNCSCI-tot showed strongest correlation with indices measured from the region inferior to the injury epicenter (IRRI), the degree of which exceeded that of those measured from the entire cervical cord-suggesting contribution from Wallerian degeneration. CONCLUSION DTI tractography-driven, subject-specific injury demarcation approach provided measures that were more specific to impairment. Notably, DTI indices obtained from the IRRI region showed the highest specificity to impairment, demonstrating their strong potential as biomarkers for the SCI severity.
Collapse
Affiliation(s)
- Ann S Choe
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA. .,F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, 707 North Broadway, Baltimore, MD, 21205, USA.
| | - Cristina L Sadowsky
- International Center for Spinal Cord Injury, Kennedy Krieger Institute, Baltimore, MD, 21205, USA.,Physical Medicine and Rehabilitation, Kennedy Krieger Institute, Baltimore, MD, 21205, USA
| | - Seth A Smith
- Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, 37235, USA.,Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, 37235, USA
| | - Peter C M van Zijl
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.,F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, 707 North Broadway, Baltimore, MD, 21205, USA
| | - James J Pekar
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.,F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, 707 North Broadway, Baltimore, MD, 21205, USA
| | - Visar Belegu
- International Center for Spinal Cord Injury, Kennedy Krieger Institute, Baltimore, MD, 21205, USA.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| |
Collapse
|
38
|
Martin AR, De Leener B, Cohen-Adad J, Cadotte DW, Kalsi-Ryan S, Lange SF, Tetreault L, Nouri A, Crawley A, Mikulis DJ, Ginsberg H, Fehlings MG. A Novel MRI Biomarker of Spinal Cord White Matter Injury: T2*-Weighted White Matter to Gray Matter Signal Intensity Ratio. AJNR Am J Neuroradiol 2017; 38:1266-1273. [PMID: 28428212 DOI: 10.3174/ajnr.a5162] [Citation(s) in RCA: 59] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2016] [Accepted: 01/29/2017] [Indexed: 01/30/2023]
Abstract
BACKGROUND AND PURPOSE T2*-weighted imaging provides sharp contrast between spinal cord GM and WM, allowing their segmentation and cross-sectional area measurement. Injured WM demonstrates T2*WI hyperintensity but requires normalization for quantitative use. We introduce T2*WI WM/GM signal-intensity ratio and compare it against cross-sectional area, the DTI metric fractional anisotropy, and magnetization transfer ratio in degenerative cervical myelopathy. MATERIALS AND METHODS Fifty-eight patients with degenerative cervical myelopathy and 40 healthy subjects underwent 3T MR imaging, covering C1-C7. Metrics were automatically extracted at maximally compressed and uncompressed rostral/caudal levels. Normalized metrics were compared with t tests, area under the curve, and logistic regression. Relationships with clinical measures were analyzed by using Pearson correlation and multiple linear regression. RESULTS The maximally compressed level cross-sectional area demonstrated superior differences (P = 1 × 10-13), diagnostic accuracy (area under the curve = 0.890), and univariate correlation with the modified Japanese Orthopedic Association score (0.66). T2*WI WM/GM showed strong differences (rostral: P = 8 × 10-7; maximally compressed level: P = 1 × 10-11; caudal: P = 1 × 10-4), correlations (modified Japanese Orthopedic Association score; rostral: -0.52; maximally compressed level: -0.59; caudal: -0.36), and diagnostic accuracy (rostral: 0.775; maximally compressed level: 0.860; caudal: 0.721), outperforming fractional anisotropy and magnetization transfer ratio in most comparisons and cross-sectional area at rostral/caudal levels. Rostral T2*WI WM/GM showed the strongest correlations with focal motor (-0.45) and sensory (-0.49) deficits and was the strongest independent predictor of the modified Japanese Orthopedic Association score (P = .01) and diagnosis (P = .02) in multivariate models (R2 = 0.59, P = 8 × 10-13; area under the curve = 0.954, respectively). CONCLUSIONS T2*WI WM/GM shows promise as a novel biomarker of WM injury. It detects damage in compressed and uncompressed regions and contributes substantially to multivariate models for diagnosis and correlation with impairment. Our multiparametric approach overcomes limitations of individual measures, having the potential to improve diagnostics, monitor progression, and predict outcomes.
Collapse
Affiliation(s)
- A R Martin
- From the Division of Neurosurgery, Department of Surgery (A.R.M., D.W.C., S.K.-R., L.T., A.N., H.G., M.G.F.)
| | - B De Leener
- Polytechnique Montreal (B.D.L., J.C.-A.), Montreal, Quebec, Canada
| | - J Cohen-Adad
- Polytechnique Montreal (B.D.L., J.C.-A.), Montreal, Quebec, Canada.,Functional Neuroimaging Unit (J.C.-A.), Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Université de Montréal, Montreal, Quebec, Canada
| | - D W Cadotte
- From the Division of Neurosurgery, Department of Surgery (A.R.M., D.W.C., S.K.-R., L.T., A.N., H.G., M.G.F.)
| | - S Kalsi-Ryan
- From the Division of Neurosurgery, Department of Surgery (A.R.M., D.W.C., S.K.-R., L.T., A.N., H.G., M.G.F.)
| | - S F Lange
- University of Groningen (S.F.L.), Groningen, the Netherlands
| | - L Tetreault
- From the Division of Neurosurgery, Department of Surgery (A.R.M., D.W.C., S.K.-R., L.T., A.N., H.G., M.G.F.)
| | - A Nouri
- From the Division of Neurosurgery, Department of Surgery (A.R.M., D.W.C., S.K.-R., L.T., A.N., H.G., M.G.F.)
| | - A Crawley
- Department of Medical Imaging (A.C., D.J.M.), University of Toronto and the University Health Network, Toronto, Ontario, Canada
| | - D J Mikulis
- Department of Medical Imaging (A.C., D.J.M.), University of Toronto and the University Health Network, Toronto, Ontario, Canada
| | - H Ginsberg
- From the Division of Neurosurgery, Department of Surgery (A.R.M., D.W.C., S.K.-R., L.T., A.N., H.G., M.G.F.)
| | - M G Fehlings
- From the Division of Neurosurgery, Department of Surgery (A.R.M., D.W.C., S.K.-R., L.T., A.N., H.G., M.G.F.)
| |
Collapse
|
39
|
Cohen Y, Anaby D, Morozov D. Diffusion MRI of the spinal cord: from structural studies to pathology. NMR IN BIOMEDICINE 2017; 30:e3592. [PMID: 27598689 DOI: 10.1002/nbm.3592] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2015] [Revised: 06/01/2016] [Accepted: 07/05/2016] [Indexed: 05/27/2023]
Abstract
Diffusion MRI is extensively used to study brain microarchitecture and pathologies, and water diffusion appears highly anisotropic in the white matter (WM) of the spinal cord (SC). Despite these facts, the use of diffusion MRI to study the SC, which has increased in recent years, is much less common than that in the brain. In the present review, after a brief outline of early studies of diffusion MRI (DWI) and diffusion tensor MRI (DTI) of the SC, we provide a short survey on DTI and on diffusion MRI methods beyond the tensor that have been used to study SC microstructure and pathologies. After introducing the porous view of WM and describing the q-space approach and q-space diffusion MRI (QSI), we describe other methodologies that can be applied to study the SC. Selected applications of the use of DTI, QSI, and other more advanced diffusion MRI methods to study SC microstructure and pathologies are presented, with some emphasis on the use of less conventional diffusion methodologies. Because of length constraints, we concentrate on structural studies and on a few selected pathologies. Examples of the use of diffusion MRI to study dysmyelination, demyelination as in experimental autoimmune encephalomyelitis and multiple sclerosis, amyotrophic lateral sclerosis, and traumatic SC injury are presented. We conclude with a brief summary and a discussion of challenges and future directions for diffusion MRI of the SC. Copyright © 2016 John Wiley & Sons, Ltd.
Collapse
Affiliation(s)
- Yoram Cohen
- The Sackler School of Chemistry, The Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel
- The Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Debbie Anaby
- The Sackler School of Chemistry, The Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Darya Morozov
- The Sackler School of Chemistry, The Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel
| |
Collapse
|
40
|
Fritz NE, Keller J, Calabresi PA, Zackowski KM. Quantitative measures of walking and strength provide insight into brain corticospinal tract pathology in multiple sclerosis. Neuroimage Clin 2017; 14:490-498. [PMID: 28289599 PMCID: PMC5338912 DOI: 10.1016/j.nicl.2017.02.006] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2016] [Revised: 01/18/2017] [Accepted: 02/09/2017] [Indexed: 01/21/2023]
Abstract
At least 85% of individuals with multiple sclerosis report walking dysfunction as their primary complaint. Walking and strength measures are common clinical measures to mark increasing disability or improvement with rehabilitation. Previous studies have shown an association between strength or walking ability and spinal cord MRI measures, and strength measures with brainstem corticospinal tract magnetization transfer ratio. However, the relationship between walking performance and brain corticospinal tract magnetization transfer imaging measures and the contribution of clinical measurements of walking and strength to the underlying integrity of the corticospinal tract has not been explored in multiple sclerosis. The objectives of this study were explore the relationship of quantitative measures of walking and strength to whole-brain corticospinal tract-specific MRI measures and to determine the contribution of quantitative measures of function in addition to basic clinical measures (age, gender, symptom duration and Expanded Disability Status Scale) to structural imaging measures of the corticospinal tract. We hypothesized that quantitative walking and strength measures would be related to brain corticospinal tract-specific measures, and would provide insight into the heterogeneity of brain pathology. Twenty-nine individuals with relapsing-remitting multiple sclerosis (mean(SD) age 48.7 (11.5) years; symptom duration 11.9(8.7); 17 females; median[range] Expanded Disability Status Scale 4.0 [1.0-6.5]) and 29 age and gender-matched healthy controls (age 50.8(11.6) years; 20 females) participated in clinical tests of strength and walking (Timed Up and Go, Timed 25 Foot Walk, Two Minute Walk Test ) as well as 3 T imaging including diffusion tensor imaging and magnetization transfer imaging. Individuals with multiple sclerosis were weaker (p = 0.0024) and walked slower (p = 0.0013) compared to controls. Quantitative measures of walking and strength were significantly related to corticospinal tract fractional anisotropy (r > 0.26; p < 0.04) and magnetization transfer ratio (r > 0.29; p < 0.03) measures. Although the Expanded Disability Status Scale was highly correlated with walking measures, it was not significantly related to either corticospinal tract fractional anisotropy or magnetization transfer ratio (p > 0.05). Walk velocity was a significant contributor to magnetization transfer ratio (p = 0.006) and fractional anisotropy (p = 0.011) in regression modeling that included both quantitative measures of function and basic clinical information. Quantitative measures of strength and walking are associated with brain corticospinal tract pathology. The addition of these quantitative measures to basic clinical information explains more of the variance in corticospinal tract fractional anisotropy and magnetization transfer ratio than the basic clinical information alone. Outcome measurement for multiple sclerosis clinical trials has been notoriously challenging; the use of quantitative measures of strength and walking along with tract-specific imaging methods may improve our ability to monitor disease change over time, with intervention, and provide needed guidelines for developing more effective targeted rehabilitation strategies.
Collapse
Affiliation(s)
- Nora E Fritz
- Motion Analysis Laboratory, Kennedy Krieger Institute, Baltimore, MD, USA
- Johns Hopkins School of Medicine, Department of Physical Medicine and Rehabilitation, Baltimore, MD, USA
- Wayne State University, Program in Physical Therapy, Department of Neurology, Detroit, MI, USA
| | - Jennifer Keller
- Motion Analysis Laboratory, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Peter A Calabresi
- Johns Hopkins School of Medicine, Department of Neurology, Baltimore, MD, USA
| | - Kathleen M Zackowski
- Motion Analysis Laboratory, Kennedy Krieger Institute, Baltimore, MD, USA
- Johns Hopkins School of Medicine, Department of Physical Medicine and Rehabilitation, Baltimore, MD, USA
- Johns Hopkins School of Medicine, Department of Neurology, Baltimore, MD, USA
| |
Collapse
|
41
|
Abstract
PURPOSE OF REVIEW We analyze recent data on technical aspects, clinical indications, and imaging features of spinal cord MRI in multiple sclerosis, and on the value of this examination for assessing the type and extension of spinal cord damage, and for predicting prognosis in patients with this disease. RECENT FINDINGS Spinal cord MRI on patients with multiple sclerosis is technically challenging and a standardized protocol that optimizes the accuracy of this examination is essential, particularly as recent studies have shown its value for diagnostic and prognostic purposes. Several recent studies have proven the potential value of new, quantitative spinal cord magnetic resonance metrics for assessing the type and degree of spinal cord damage. Although these measures can bring new insights into the understanding of the disease, there is not enough evidence to support their use outside the research scenario. SUMMARY Neurologists and neuroradiologists should be aware of the added value of conventional spinal cord MRI in the initial diagnosis and monitoring of multiple sclerosis. The use of advanced quantitative magnetic resonance techniques, which better assess the degree of irreversible tissue damage within the spinal cord, is mainly restricted to clinical research and cannot yet be incorporated into the daily clinical practice.
Collapse
|
42
|
Alroughani R, Akhtar S, Ahmed S, Behbehani R, Al-Hashel J. Is Time to Reach EDSS 6.0 Faster in Patients with Late-Onset versus Young-Onset Multiple Sclerosis? PLoS One 2016; 11:e0165846. [PMID: 27802328 PMCID: PMC5089776 DOI: 10.1371/journal.pone.0165846] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2016] [Accepted: 10/18/2016] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND & OBJECTIVES Published natural history data on late-onset of multiple sclerosis are limited. We aimed to assess the risk of attaining EDSS 6.0 among patients with late-onset (> 40 years) MS (LOMS) and young-onset (18-40 years) MS (YOMS). METHODS This cross-sectional cohort study was conducted to identify LOMS and YOMS patients' with relapsing remitting course at MS diagnosis. Time (years) to reach sustained EDSS 6.0 was compared between LOMS and AOMS patients. Cox proportional hazards model was used to evaluate the demographic and clinical predictors of time to EDSS 6.0 in these cohorts. RESULTS LOMS and YOMS cohorts comprised 99 (10.7%) and 804 (89.3%) patients respectively. Spinal cord presentation at MS onset was more common among LOMS patients (46.5% vs. 32.3%). The proportions of LOMS and YOMS patients reaching EDSS 6.0 during the follow-up period were 19.2% and 15.7% respectively. In multivariable Cox proportional hazards model, older age at MS onset (adjusted hazard ratio (aHR) = 3.96; 95% CI: 2.14-7.32; p < 0.001), male gender (aHR = 1.85; 95% CI: 1.22-2.81; p = 0.004) and spinal cord presentation at onset (aHR = 1.47; 95% CI: 0.98-2.21; p = 0.062) were significantly associated with shorter time to EDSS 6.0. CONCLUSIONS LOMS patients attained EDSS 6.0 in a significantly shorter period that was influenced by male gender and spinal cord presentation at MS onset.
Collapse
Affiliation(s)
- Raed Alroughani
- Division of Neurology, Department of Medicine, Amiri Hospital, Sharq, Kuwait
- Neurology Clinic, Dasman Diabetes Institute, Dasman, Dasman, Kuwait
- * E-mail:
| | - Saeed Akhtar
- Department of Community Medicine and Behavioural Sciences, Faculty of Medicine, University of Kuwait, Jabriya, Kuwait
| | - Samar Ahmed
- Department of Neurology, Ibn Sina Hospital, Kuwait City, Kuwait
- Department of Neurology and Psychiatry, Minia University, Minia, Egypt
| | - Raed Behbehani
- Department of Ophthalmology, Ibn Sina Hospital, Kuwait City, Kuwait
| | - Jasem Al-Hashel
- Department of Neurology, Ibn Sina Hospital, Kuwait City, Kuwait
- Department of Medicine, Faculty of Medicine, Kuwait University, Jabriya, Kuwait
| |
Collapse
|
43
|
Gilli F, Chen X, Pachner AR, Gimi B. High-Resolution Diffusion Tensor Spinal Cord MRI Measures as Biomarkers of Disability Progression in a Rodent Model of Progressive Multiple Sclerosis. PLoS One 2016; 11:e0160071. [PMID: 27467829 PMCID: PMC4965026 DOI: 10.1371/journal.pone.0160071] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2016] [Accepted: 07/13/2016] [Indexed: 01/02/2023] Open
Abstract
Disease in the spinal cord is a major component of disability in multiple sclerosis, yet current techniques of imaging spinal cord injury are insensitive and nonspecific. This study seeks to remove this major impediment to research in multiple sclerosis and other spinal cord diseases by identifying reliable biomarkers of disability progression using diffusion tensor imaging (DTI), a magnetic resonance imaging technique, to evaluate the spinal cord in a model of multiple sclerosis, i.e. the Theiler’s Murine Encephalitis Virus-Induced Demyelinating Disease (TMEV-IDD). Mice with TMEV-IDD with varying levels of clinical disease were imaged using a 9.4T small animal MRI scanner. Axial diffusivity, radial diffusivity, and fractional anisotropy were calculated. Disability was assessed periodically using Rotarod assay and data were expressed as a neurological function index. Correlation was performed between DTI measurements and disability scores. TMEV-IDD mice displayed significant increased neurological deficits over time when compared with controls (p<0.0001). Concurrently, the values of fractional anisotropy and axial diffusivity were both decreased compared to controls (both p<0.0001), while radial diffusivity was increased (p<0.0001). Overall, fractional anisotropy changes were larger in white matter than in grey matter and differences were more pronounced in the ventral region. Lower disability scores were associated with decreased fractional anisotropy values measured in the ventral (r = 0.68; p<0.0001) and ventral-lateral (r = 0.70; p<0.0001) regions of the white matter. These data demonstrate that DTI measures of the spinal cord contribute to strengthening the association between neuroradiological markers and clinical disability, and support the use of DTI measures in spinal cord imaging in MS patients.
Collapse
Affiliation(s)
- Francesca Gilli
- Department of Neurology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, United States of America
- * E-mail:
| | - Xi Chen
- Department of Radiology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, United States of America
| | - Andrew R. Pachner
- Department of Neurology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, United States of America
| | - Barjor Gimi
- Department of Radiology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, United States of America
| |
Collapse
|
44
|
Klineova S, Farber R, Saiote C, Farrell C, Delman BN, Tanenbaum LN, Friedman J, Inglese M, Lublin FD, Krieger S. Relationship between timed 25-foot walk and diffusion tensor imaging in multiple sclerosis. Mult Scler J Exp Transl Clin 2016; 2:2055217316655365. [PMID: 28607731 PMCID: PMC5433408 DOI: 10.1177/2055217316655365] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2016] [Accepted: 05/24/2016] [Indexed: 11/16/2022] Open
Abstract
Objective/Background The majority of multiple sclerosis patients experience impaired walking ability, which
impacts quality of life. Timed 25-foot walk is commonly used to gauge gait impairment
but results can be broadly variable. Objective biological markers that correlate closely
with patients’ disability are needed. Diffusion tensor imaging, quantifying fiber tract
integrity, might provide such information. In this project we analyzed relationships
between timed 25-foot walk, conventional and diffusion tensor imaging magnetic resonance
imaging markers. Design/Methods A cohort of gait impaired multiple sclerosis patients underwent brain and cervical
spinal cord magnetic resonance imaging. Diffusion tensor imaging mean diffusivity and
fractional anisotropy were measured on the brain corticospinal tracts and spinal
restricted field of vision at C2/3. We analyzed relationships between baseline timed
25-foot walk, conventional and diffusion tensor imaging magnetic resonance imaging
markers. Results Multivariate linear regression analysis showed a statistically significant association
between several magnetic resonance imaging and diffusion tensor imaging metrics and
timed 25-foot walk: brain mean diffusivity corticospinal tracts (p = 0.004), brain
corticospinal tracts axial and radial diffusivity (P = 0.004 and 0.02), grey matter
volume (p = 0.05), white matter volume (p = 0.03) and normalized brain volume
(P = 0.01). The linear regression model containing mean diffusivity corticospinal tracts
and controlled for gait assistance was the best fit model (p = 0.004). Conclusions Our results suggest an association between diffusion tensor imaging metrics and gait
impairment, evidenced by brain mean diffusivity corticospinal tracts and timed 25-foot
walk.
Collapse
Affiliation(s)
- Sylvia Klineova
- The Corinne Goldsmith Dickinson Center for Multiple Sclerosis, Icahn School of Medicine at Mount Sinai, USA
| | - Rebecca Farber
- The Corinne Goldsmith Dickinson Center for Multiple Sclerosis, Icahn School of Medicine at Mount Sinai, USA
| | - Catarina Saiote
- Department of Neurology, Icahn School of Medicine at Mount Sinai, USA
| | - Colleen Farrell
- The Corinne Goldsmith Dickinson Center for Multiple Sclerosis, Icahn School of Medicine at Mount Sinai, USA
| | - Bradley N Delman
- Department of Radiology, Icahn School of Medicine at Mount Sinai, USA
| | | | - Joshua Friedman
- The Corinne Goldsmith Dickinson Center for Multiple Sclerosis, Icahn School of Medicine at Mount Sinai, USA
| | - Matilde Inglese
- Department of Neurology, Icahn School of Medicine at Mount Sinai, USA
| | - Fred D Lublin
- The Corinne Goldsmith Dickinson Center for Multiple Sclerosis, Icahn School of Medicine at Mount Sinai, USA
| | - Stephen Krieger
- The Corinne Goldsmith Dickinson Center for Multiple Sclerosis, Icahn School of Medicine at Mount Sinai, USA
| |
Collapse
|
45
|
Abstract
PURPOSE OF REVIEW Neurologists are frequently asked to consult on patients with incidentally observed anomalies on brain MRI that may be suggestive of multiple sclerosis (MS). The identification of such findings has important clinical management implications. This review provides an overview and practical clinical approach options for clinicians. RECENT FINDINGS An increase in the number of brain MRI studies performed annually is expected to result in detection of a corresponding greater number of unanticipated anomalies. A disproportionate number of patients referred to neurologists for this reason have punctate subcortical T2 hyperintensities that appear nonspecific in origin rather than having imaging features concerning for MS. However, in some instances, the MRI characteristics appear to be typical for demyelination. When these features are observed, efforts should be pursued to identify an accurate explanation for the preclinical findings through rigorous clinical evaluation, paraclinical testing, and utilization of longitudinal imaging. SUMMARY The identification of subjects with incidental T2 hyperintensities highly suggestive of MS is important for patient counseling and management. Continued neurologic evaluations and reassessment of the original clinical impression are recommended to ensure accurate interpretation of the available data.
Collapse
|
46
|
Taso M, Girard OM, Duhamel G, Le Troter A, Feiweier T, Guye M, Ranjeva JP, Callot V. Tract-specific and age-related variations of the spinal cord microstructure: a multi-parametric MRI study using diffusion tensor imaging (DTI) and inhomogeneous magnetization transfer (ihMT). NMR IN BIOMEDICINE 2016; 29:817-832. [PMID: 27100385 DOI: 10.1002/nbm.3530] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2015] [Revised: 02/17/2016] [Accepted: 03/09/2016] [Indexed: 06/05/2023]
Abstract
Being able to finely characterize the spinal cord (SC) microstructure and its alterations is a key point when investigating neural damage mechanisms encountered in different central nervous system (CNS) pathologies, such as multiple sclerosis, amyotrophic lateral sclerosis or myelopathy. Based on novel methods, including inhomogeneous magnetization transfer (ihMT) and dedicated SC probabilistic atlas post-processing, the present study focuses on the in vivo characterization of the healthy SC tissue in terms of regional microstructure differences between (i) upper and lower cervical vertebral levels and (ii) sensory and motor tracts, as well as differences attributed to normal aging. Forty-eight healthy volunteers aged from 20 to 70 years old were included in the study and scanned at 3 T using axial high-resolution T2 *-w imaging, diffusion tensor imaging (DTI) and ihMT, at two vertebral levels (C2 and C5). A processing pipeline with minimal user intervention, SC segmentation and spatial normalization into a reference space was implemented in order to assess quantitative morphological and structural parameters (cross-sectional areas, scalar DTI and MT/ihMT metrics) in specific white and gray matter regions of interest. The multi-parametric MRI metrics collected allowed upper and lower cervical levels to be distinguished, with higher ihMT ratio (ihMTR), higher axial diffusivity (λ∥ ) and lower radial diffusivity (λ⊥ ) at C2 compared with C5. Significant differences were also observed between white matter fascicles, with higher ihMTR and lower λ∥ in motor tracts compared with posterior sensory tracts. Finally, aging was found to be associated with significant metric alterations (decreased ihMTR and λ∥ ). The methodology proposed here, which can be easily transferred to the clinic, provides new insights for SC characterization. It bears great potential to study focal and diffuse SC damage in neurodegenerative and demyelinating diseases. Copyright © 2016 John Wiley & Sons, Ltd.
Collapse
Affiliation(s)
- Manuel Taso
- Aix-Marseille Université, CNRS, Centre de Résonance Magnétique Biologique et Médicale (CRMBM), UMR 7339, Marseille, France
- AP-HM, Hôpital de la Timone, Pôle d'imagerie médicale, Centre d'Exploration Métabolique par Résonance Magnétique (CEMEREM), Marseille, France
- Aix-Marseille Université, IFSTTAR, Laboratoire de Biomécanique Appliquée (LBA), UMR T 24, Marseille, France
- Laboratoire International Associé iLab-Spine - Imagerie et Biomécanique du Rachis, Marseille, France/Montréal, Canada
| | - Olivier M Girard
- Aix-Marseille Université, CNRS, Centre de Résonance Magnétique Biologique et Médicale (CRMBM), UMR 7339, Marseille, France
- AP-HM, Hôpital de la Timone, Pôle d'imagerie médicale, Centre d'Exploration Métabolique par Résonance Magnétique (CEMEREM), Marseille, France
| | - Guillaume Duhamel
- Aix-Marseille Université, CNRS, Centre de Résonance Magnétique Biologique et Médicale (CRMBM), UMR 7339, Marseille, France
- AP-HM, Hôpital de la Timone, Pôle d'imagerie médicale, Centre d'Exploration Métabolique par Résonance Magnétique (CEMEREM), Marseille, France
| | - Arnaud Le Troter
- Aix-Marseille Université, CNRS, Centre de Résonance Magnétique Biologique et Médicale (CRMBM), UMR 7339, Marseille, France
- AP-HM, Hôpital de la Timone, Pôle d'imagerie médicale, Centre d'Exploration Métabolique par Résonance Magnétique (CEMEREM), Marseille, France
| | | | - Maxime Guye
- Aix-Marseille Université, CNRS, Centre de Résonance Magnétique Biologique et Médicale (CRMBM), UMR 7339, Marseille, France
- AP-HM, Hôpital de la Timone, Pôle d'imagerie médicale, Centre d'Exploration Métabolique par Résonance Magnétique (CEMEREM), Marseille, France
| | - Jean-Philippe Ranjeva
- Aix-Marseille Université, CNRS, Centre de Résonance Magnétique Biologique et Médicale (CRMBM), UMR 7339, Marseille, France
- AP-HM, Hôpital de la Timone, Pôle d'imagerie médicale, Centre d'Exploration Métabolique par Résonance Magnétique (CEMEREM), Marseille, France
- Laboratoire International Associé iLab-Spine - Imagerie et Biomécanique du Rachis, Marseille, France/Montréal, Canada
| | - Virginie Callot
- Aix-Marseille Université, CNRS, Centre de Résonance Magnétique Biologique et Médicale (CRMBM), UMR 7339, Marseille, France
- AP-HM, Hôpital de la Timone, Pôle d'imagerie médicale, Centre d'Exploration Métabolique par Résonance Magnétique (CEMEREM), Marseille, France
- Laboratoire International Associé iLab-Spine - Imagerie et Biomécanique du Rachis, Marseille, France/Montréal, Canada
| |
Collapse
|
47
|
Abstract
Due to its sensitivity to the different multiple sclerosis (MS)-related abnormalities, magnetic resonance imaging (MRI) has become an established tool to diagnose MS and to monitor its evolution. MRI has been included in the diagnostic workup of patients with clinically isolated syndromes suggestive of MS, and ad hoc criteria have been proposed and are regularly updated. In patients with definite MS, the ability of conventional MRI techniques to explain patients' clinical status and progression of disability is still suboptimal. Several advanced MRI-based technologies have been applied to estimate overall MS burden in the different phases of the disease. Their use has allowed the heterogeneity of MS pathology in focal lesions, normal-appearing white matter and gray matter to be graded in vivo. Recently, additional features of MS pathology, including macrophage infiltration and abnormal iron deposition, have become quantifiable. All of this, combined with functional imaging techniques, is improving our understanding of the mechanisms associated with MS evolution. In the near future, the use of ultrahigh-field systems is likely to provide additional insight into disease pathophysiology. However, the utility of advanced MRI techniques in clinical trial monitoring and in assessing individual patients' response to treatment still needs to be assessed.
Collapse
Affiliation(s)
- Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.
| | - Paolo Preziosa
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| |
Collapse
|
48
|
Martin AR, Aleksanderek I, Cohen-Adad J, Tarmohamed Z, Tetreault L, Smith N, Cadotte DW, Crawley A, Ginsberg H, Mikulis DJ, Fehlings MG. Translating state-of-the-art spinal cord MRI techniques to clinical use: A systematic review of clinical studies utilizing DTI, MT, MWF, MRS, and fMRI. Neuroimage Clin 2015; 10:192-238. [PMID: 26862478 PMCID: PMC4708075 DOI: 10.1016/j.nicl.2015.11.019] [Citation(s) in RCA: 152] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2015] [Revised: 10/23/2015] [Accepted: 11/27/2015] [Indexed: 12/12/2022]
Abstract
BACKGROUND A recent meeting of international imaging experts sponsored by the International Spinal Research Trust (ISRT) and the Wings for Life Foundation identified 5 state-of-the-art MRI techniques with potential to transform the field of spinal cord imaging by elucidating elements of the microstructure and function: diffusion tensor imaging (DTI), magnetization transfer (MT), myelin water fraction (MWF), MR spectroscopy (MRS), and functional MRI (fMRI). However, the progress toward clinical translation of these techniques has not been established. METHODS A systematic review of the English literature was conducted using MEDLINE, MEDLINE-in-Progress, Embase, and Cochrane databases to identify all human studies that investigated utility, in terms of diagnosis, correlation with disability, and prediction of outcomes, of these promising techniques in pathologies affecting the spinal cord. Data regarding study design, subject characteristics, MRI methods, clinical measures of impairment, and analysis techniques were extracted and tabulated to identify trends and commonalities. The studies were assessed for risk of bias, and the overall quality of evidence was assessed for each specific finding using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework. RESULTS A total of 6597 unique citations were identified in the database search, and after full-text review of 274 articles, a total of 104 relevant studies were identified for final inclusion (97% from the initial database search). Among these, 69 studies utilized DTI and 25 used MT, with both techniques showing an increased number of publications in recent years. The review also identified 1 MWF study, 11 MRS studies, and 8 fMRI studies. Most of the studies were exploratory in nature, lacking a priori hypotheses and showing a high (72%) or moderately high (20%) risk of bias, due to issues with study design, acquisition techniques, and analysis methods. The acquisitions for each technique varied widely across studies, rendering direct comparisons of metrics invalid. The DTI metric fractional anisotropy (FA) had the strongest evidence of utility, with moderate quality evidence for its use as a biomarker showing correlation with disability in several clinical pathologies, and a low level of evidence that it identifies tissue injury (in terms of group differences) compared with healthy controls. However, insufficient evidence exists to determine its utility as a sensitive and specific diagnostic test or as a tool to predict clinical outcomes. Very low quality evidence suggests that other metrics also show group differences compared with controls, including DTI metrics mean diffusivity (MD) and radial diffusivity (RD), the diffusional kurtosis imaging (DKI) metric mean kurtosis (MK), MT metrics MT ratio (MTR) and MT cerebrospinal fluid ratio (MTCSF), and the MRS metric of N-acetylaspartate (NAA) concentration, although these results were somewhat inconsistent. CONCLUSIONS State-of-the-art spinal cord MRI techniques are emerging with great potential to improve the diagnosis and management of various spinal pathologies, but the current body of evidence has only showed limited clinical utility to date. Among these imaging tools DTI is the most mature, but further work is necessary to standardize and validate its use before it will be adopted in the clinical realm. Large, well-designed studies with a priori hypotheses, standardized acquisition methods, detailed clinical data collection, and robust automated analysis techniques are needed to fully demonstrate the potential of these rapidly evolving techniques.
Collapse
Affiliation(s)
- Allan R Martin
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Izabela Aleksanderek
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | | | | | - Lindsay Tetreault
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | | | - David W Cadotte
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Adrian Crawley
- Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Howard Ginsberg
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - David J Mikulis
- Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Michael G Fehlings
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| |
Collapse
|
49
|
Barakat N, Shah P, Faro SH, Gaughan JP, Middleton D, Mulcahey MJ, Mohamed FB. Inter- and intra-rater reliability of diffusion tensor imaging parameters in the normal pediatric spinal cord. World J Radiol 2015; 7:279-85. [PMID: 26435778 PMCID: PMC4585951 DOI: 10.4329/wjr.v7.i9.279] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2015] [Revised: 06/24/2015] [Accepted: 07/29/2015] [Indexed: 02/06/2023] Open
Abstract
AIM To assess inter- and intra-rater reliability (agreement) between two region of interest (ROI) methods in pediatric spinal cord diffusion tensor imaging (DTI). METHODS Inner-Field-of-View DTI data previously acquired from ten pediatric healthy subjects (mean age = 12.10 years) was used to assess for reliability. ROIs were drawn by two neuroradiologists on each subject data twice within a 3-mo interval. ROIs were placed on axial B0 maps along the cervical spine using free-hand and fixed-size ROIs. Agreement analyses for fractional anisotropy (FA), axial diffusivity, radial diffusivity and mean diffusivity were performed using intra-class-correlation (ICC) and Cronbach's alpha statistical methods. RESULTS Inter- and intra-rater agreement between the two ROI methods showed moderate (ICC = 0.5) to strong (ICC = 0.84). There were significant differences between raters in the number of pixels selected using free-hand ROIs (P < 0.05). However, no significant differences were observed in DTI parameter values. FA showed highest variability in ICC values (0.10-0.87). Cronbach's alpha showed moderate-high values for raters and ROI methods. CONCLUSION The study showed that high reproducibility in spinal cord DTI can be achieved, and demonstrated the importance of setting detailed methodology for post-processing DTI data, specifically the placement of ROIs.
Collapse
|
50
|
Grey and White Matter Magnetisation Transfer Ratio Measurements in the Lumbosacral Enlargement: A Pilot In Vivo Study at 3T. PLoS One 2015; 10:e0134495. [PMID: 26230729 PMCID: PMC4521783 DOI: 10.1371/journal.pone.0134495] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2015] [Accepted: 07/09/2015] [Indexed: 01/23/2023] Open
Abstract
Magnetisation transfer (MT) imaging of the central nervous system has provided further insight into the pathophysiology of neurological disease. However, the use of this method to study the lower spinal cord has been technically challenging, despite the important role of this region, not only for motor control of the lower limbs, but also for the neural control of lower urinary tract, sexual and bowel functions. In this study, the feasibility of obtaining reliable grey matter (GM) and white matter (WM) magnetisation transfer ratio (MTR) measurements within the lumbosacral enlargement (LSE) was investigated in ten healthy volunteers using a clinical 3T MRI system. The mean cross-sectional area of the LSE (LSE-CSA) and the mean GM area (LSE-GM-CSA) were first obtained by means of image segmentation and tissue-specific (i.e. WM and GM) MTR measurements within the LSE were subsequently obtained. The reproducibility of the segmentation method and MTR measurements was assessed from repeated measurements and their % coefficient of variation (%COV). Mean (± SD) LSE-CSA across 10 healthy subjects was 59.3 (± 8.4) mm2 and LSE-GM-CSA was 17.0 (± 3.1) mm2. The mean intra- and inter-rater % COV for measuring the LSE-CSA were 0.8% and 2.3%, respectively and for the LSE-GM-CSA were 3.8% and 5.4%, respectively. Mean (± SD) WM-MTR was 43.2 (± 4.4) and GM-MTR was 40.9 (± 4.3). The mean scan-rescan % COV for measuring WM-MTR was 4.6% and for GM-MTR was 3.8%. Using a paired t-test, a statistically significant difference was identified between WM-MTR and GM-MTR in the LSE (p<0.0001). This pilot study has shown that it is possible to obtain reliable tissue-specific MTR measurements within the LSE using a clinical MR system at 3T. The MTR acquisition and analysis protocol presented in this study can be used in future investigations of intrinsic spinal cord diseases that affect the LSE.
Collapse
|