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Eaton JE, Oguz I, Kazimuddin H, Bagnato F. Intracranial Hypertension Associated With Poly-Cranio-Radicular-Neuropathies: A Case Report and Review of the Literature. Neurologist 2024; 29:166-169. [PMID: 38372201 DOI: 10.1097/nrl.0000000000000559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
INTRODUCTION We present the case of a gentleman who developed rapidly progressive vision loss, ophthalmo-paresis, and flaccid quadriparesis in the context of severe intracranial hypertension. We reviewed the available cases in the literature to increase awareness of this rare clinical entity.Case Report:A 36-year-old man developed rapidly progressive vision loss, ophthalmo-paresis, and flaccid quadriparesis. He had an extensive workup, only notable for severe intracranial hypertension, >55 cm of H 2 O. No inflammatory features were present, and the patient responded to CSF diversion. Few similar cases are available in the literature, but all show markedly elevated intracranial pressure associated with extensive neuroaxis dysfunction. Similarly, these patients improved with CSF diversion but did not appear to respond to immune-based therapies. CONCLUSIONS We term this extensive neuroaxis dysfunction intracranial hypertension associated with poly-cranio-radicular-neuropathy (IHP) and distinguish it from similar immune-mediated clinical presentations. Clinicians should be aware of the different etiologies of this potentially devastating clinical presentation to inform appropriate and timely treatment.
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Affiliation(s)
| | - Ipek Oguz
- Department of Computer Science, Vanderbilt University
| | - Habeeb Kazimuddin
- Neuroimaging Unit, Department of Neurology, Neuroimmunology Division, Vanderbilt University Medical Center
- Department of Computer Science, Vanderbilt University
| | - Francesca Bagnato
- Department of Neurology
- Neuroimaging Unit, Department of Neurology, Neuroimmunology Division, Vanderbilt University Medical Center
- Department of Neurology, VA Hospital, TN Valley Healthcare System, Nashville, TN
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2
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Bagnato F, Sati P, Hemond CC, Elliott C, Gauthier SA, Harrison DM, Mainero C, Oh J, Pitt D, Shinohara RT, Smith SA, Trapp B, Azevedo CJ, Calabresi PA, Henry RG, Laule C, Ontaneda D, Rooney WD, Sicotte NL, Reich DS, Absinta M. Imaging chronic active lesions in multiple sclerosis: a consensus statement. Brain 2024:awae013. [PMID: 38226694 DOI: 10.1093/brain/awae013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 11/21/2023] [Accepted: 12/08/2023] [Indexed: 01/17/2024] Open
Abstract
Chronic active lesions (CAL) are an important manifestation of chronic inflammation in multiple sclerosis (MS) and have implications for non-relapsing biological progression. In recent years, the discovery of innovative magnetic resonance imaging (MRI) and PET derived biomarkers has made it possible to detect CAL, and to some extent quantify them, in the brain of persons with MS, in vivo. Paramagnetic rim lesions on susceptibility-sensitive MRI sequences, MRI-defined slowly expanding lesions on T1-weighted (T1-w) and T2-w scans, and 18-kDa translocator protein-positive lesions on PET are promising candidate biomarkers of CAL. While partially overlapping, these biomarkers do not have equivalent sensitivity and specificity to histopathological CAL. Standardization in the use of available imaging measures for CAL identification, quantification, and monitoring is lacking. To fast-forward clinical translation of CAL, the North American Imaging in Multiple Sclerosis Cooperative developed a Consensus Statement, which provides guidance for the radiological definition and measurement of CAL. The proposed manuscript presents this Consensus Statement, summarizes the multistep process leading to it, and identifies the remaining major gaps in knowledge.
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Affiliation(s)
- Francesca Bagnato
- Neuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN 37212, USA
- Department of Neurology, Nashville VA Medical Center, Tennessee Valley Healthcare System, Nashville, TN 37212, USA
| | - Pascal Sati
- Neuroimaging Program, Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA 90048 USA
| | | | | | - Susan A Gauthier
- Department of Neurology, Weill Cornell Medicine, NYC, NY 10021, USA
| | - Daniel M Harrison
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD 21201, USA
- Department of Neurology, Baltimore VA Medical Center, VA Maryland Healthcare System; Baltimore, MD 21201, USA
| | - Caterina Mainero
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Jiwon Oh
- Division of Neurology, St. Michael's Hospital, University of Toronto, Toronto, ON M5S, Canada
| | - David Pitt
- Department of Neurology, Yale School of Medicine, New Haven, CT 06510, USA
| | - Russell T Shinohara
- Penn Statistics in Imaging and Visualization Endeavor, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Center for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Seth A Smith
- Vanderbilt University Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37235, USA
| | - Bruce Trapp
- Department on Neurosciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Christina J Azevedo
- Department of Neurology, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90007, USA
| | - Peter A Calabresi
- Departments of Neurology and Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Roland G Henry
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA 94158, USA
| | - Cornelia Laule
- Department of Radiology, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
- Department of Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
- Department of Physics & Astronomy, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
- International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, BC V6T 1Z4, Canada
| | - Daniel Ontaneda
- Mellen Center for Multiple Sclerosis, Cleveland Clinic, Cleveland, OH 44195, USA
| | - William D Rooney
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR 97239, USA
| | - Nancy L Sicotte
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Daniel S Reich
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA
| | - Martina Absinta
- Departments of Neurology and Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Translational Neuropathology Unit, Institute of Experimental Neurology, Division of Neuroscience, Vita-Salute San Raffaele University and Hospital, Milan, 20132, Italy
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Clarke MA, Cheek R, Kazimuddin HF, Hernandez B, Clarke R, McKnight CD, Derwenskus J, Eaton J, Irlmeier R, Ye F, O’Grady KP, Rogers B, Smith SA, Bagnato F. Paramagnetic rim lesions and the central vein sign: Characterizing multiple sclerosis imaging markers. J Neuroimaging 2024; 34:86-94. [PMID: 38018353 PMCID: PMC10842224 DOI: 10.1111/jon.13173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 11/09/2023] [Accepted: 11/14/2023] [Indexed: 11/30/2023] Open
Abstract
BACKGROUND AND PURPOSE Paramagnetic rims and the central vein sign (CVS) are proposed imaging markers of multiple sclerosis (MS) lesions. Using 7 tesla magnetic resonance imaging, we aimed to: (1) characterize the appearance of paramagnetic rim lesions (PRLs); (2) assess whether PRLs and the CVS are associated with higher levels of MS pathology; and (3) compare the characteristics between subjects with and without PRLs in early MS. METHODS Prospective study of 32 treatment-naïve subjects around the time of diagnosis who were assessed for the presence of PRLs and the CVS. Comparisons of lesion volume and macromolecular pool size ratio (PSR) index, a proxy of myelin integrity, between PRLs and non-PRLs, and CVS-positive and CVS-negative lesions were carried out. Differences in clinical/demographic characteristics between patients with PRLs and those without were tested. RESULTS Fifteen subjects had ≥1 PRL for a total of 36 PRLs, of which two-thirds had a full rim. PRLs predicted a larger lesion size and decreased PSR signal. Lesion volume and presence of cervical spine lesions were significantly different between subjects with PRLs and those without, although neither remained significant after adjusting for multiple comparisons. One hundred and eighty-one lesions with CVS were identified with no differences between CVS-positive and CVS-negative lesions in volume (p = .27) and PSR values (p = .62). CONCLUSIONS PRLs, but not CVS-positive lesions, are larger and have lower myelin integrity. Our findings indicate that PRLs are associated with higher levels of lesion-specific pathology prior to the start of disease-modifying therapy.
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Affiliation(s)
- Margareta A. Clarke
- Neuroimaging Unit, Neuro-immunology Division, Department of Neurology, Vanderbilt University Medical Center
| | - Rachael Cheek
- Neuroimaging Unit, Neuro-immunology Division, Department of Neurology, Vanderbilt University Medical Center
- Meharry Medical College
| | - Habeeb F. Kazimuddin
- Neuroimaging Unit, Neuro-immunology Division, Department of Neurology, Vanderbilt University Medical Center
| | - Bryan Hernandez
- Neuroimaging Unit, Neuro-immunology Division, Department of Neurology, Vanderbilt University Medical Center
- Vanderbilt Medical Scientist Training Program, Vanderbilt University
| | - Reece Clarke
- Neuroimaging Unit, Neuro-immunology Division, Department of Neurology, Vanderbilt University Medical Center
| | - Colin D. McKnight
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center
| | - Joy Derwenskus
- Neuro-immunology Division, Department of Neurology, Vanderbilt University Medical Center
| | - James Eaton
- Neuro-immunology Division, Department of Neurology, Vanderbilt University Medical Center
| | - Rebecca Irlmeier
- Department of Biostatistics, Vanderbilt University Medica Center
| | - Fei Ye
- Department of Biostatistics, Vanderbilt University Medica Center
| | - Kristin P. O’Grady
- Vanderbilt Medical Scientist Training Program, Vanderbilt University
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medica Center
| | - Baxter Rogers
- Vanderbilt Medical Scientist Training Program, Vanderbilt University
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medica Center
| | - Seth A. Smith
- Vanderbilt Medical Scientist Training Program, Vanderbilt University
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medica Center
| | - Francesca Bagnato
- Neuroimaging Unit, Neuro-immunology Division, Department of Neurology, Vanderbilt University Medical Center
- Department of Neurology, VA Hospital, TN Valley Healthcare Center, Nashville, TN
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Barter K, Bagnato F. Olfactory Hallucinations Following COVID-19 Vaccination. Fed Pract 2023; 40:1-3. [PMID: 37727678 PMCID: PMC10506491 DOI: 10.12788/fp.0410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/21/2023]
Abstract
Background Vaccine-induced phantosmia is a rare adverse effect of vaccination and has not been previously reported related to the Johnson & Johnson (J&J) COVID-19 vaccine. Case Presentation Three weeks after receiving the J&J COVID-19 vaccine, a 39-year-old veteran started smelling a burning odor in the absence of an identifiable source. At presentation to the clinic, his general and neurological examinations, brain magnetic resonance imaging, and electroencephalogram were all unremarkable. The episodes persisted for nearly 2 years (21 months postvaccination). Conclusions This is the only case of phantosmia reported after the use of the J&J COVID-19 vaccine and aligns with the literature that reports 1 case of phantosmia and 2 cases of hyposmia following the Pfizer-BioNTech COVID-19 mRNA vaccine. This information will help health care professionals understand the possible adverse effects of COVID-19 vaccination and be better equipped to counsel patients about the benign but potentially long-lasting adverse effects of the J&J COVID-19 vaccine.
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Affiliation(s)
- Kelsey Barter
- Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Francesca Bagnato
- Vanderbilt University School of Medicine, Nashville, Tennessee
- Multiple Sclerosis Center of Excellence East Site, Nashville, Tennessee
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Schilling KG, Fadnavis S, Batson J, Visagie M, Combes AJE, By S, McKnight CD, Bagnato F, Garyfallidis E, Landman BA, Smith SA, O'Grady KP. Denoising of diffusion MRI in the cervical spinal cord - effects of denoising strategy and acquisition on intra-cord contrast, signal modeling, and feature conspicuity. Neuroimage 2023; 266:119826. [PMID: 36543265 PMCID: PMC9843739 DOI: 10.1016/j.neuroimage.2022.119826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 11/02/2022] [Accepted: 12/17/2022] [Indexed: 12/23/2022] Open
Abstract
Quantitative diffusion MRI (dMRI) is a promising technique for evaluating the spinal cord in health and disease. However, low signal-to-noise ratio (SNR) can impede interpretation and quantification of these images. The purpose of this study is to evaluate several dMRI denoising approaches on their ability to improve the quality, reliability, and accuracy of quantitative diffusion MRI of the spinal cord. We evaluate three denoising approaches (Non-Local Means, Marchenko-Pastur PCA, and a newly proposed Patch2Self algorithm) and conduct five experiments to validate the denoising performance on clinical-quality and commonly-acquired dMRI acquisitions: 1) a phantom experiment to assess denoising error and bias; 2) a multi-vendor, multi-acquisition open experiment for both qualitative and quantitative evaluation of noise residuals; 3) a bootstrapping experiment to estimate uncertainty of parametric maps; 4) an assessment of spinal cord lesion conspicuity in a multiple sclerosis group; and 5) an evaluation of denoising for advanced parametric multi-compartment modeling. We find that all methods improve signal-to-noise ratio and conspicuity of MS lesions in individual diffusion weighted images (DWIs), but MPPCA and Patch2Self excel at improving the quality and intra-cord contrast of diffusion weighted images - removing signal fluctuations due to thermal noise while improving precision of estimation of diffusion parameters even with very few DWIs (i.e., 16-32) typical of clinical acquisitions. These denoising approaches hold promise for facilitating reliable diffusion observations and measurements in the spinal cord to investigate biological and pathological processes.
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Affiliation(s)
- Kurt G Schilling
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States; Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
| | - Shreyas Fadnavis
- Department of Intelligent Systems Engineering, Indiana University Bloomington, Bloomington, IN, United States
| | - Joshua Batson
- The Public Health Company, California, United States
| | - Mereze Visagie
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Anna J E Combes
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States; Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Samantha By
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States
| | - Colin D McKnight
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Francesca Bagnato
- Neuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Neurology, VA Hospital, TN Valley Healthcare System, Nashville, TN, United States
| | - Eleftherios Garyfallidis
- Department of Intelligent Systems Engineering, Indiana University Bloomington, Bloomington, IN, United States
| | - Bennett A Landman
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States; Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, United States
| | - Seth A Smith
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States; Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States
| | - Kristin P O'Grady
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States; Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States.
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6
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Koch C, Bagnato F, Laule C, Gauthier SA. Editorial: Measuring progression in Multiple Sclerosis: Progressing beyond the ordinary. Front Hum Neurosci 2022; 16:1095208. [PMID: 36483634 PMCID: PMC9723981 DOI: 10.3389/fnhum.2022.1095208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 11/11/2022] [Indexed: 01/11/2023] Open
Affiliation(s)
- Carynn Koch
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States,*Correspondence: Carynn Koch
| | - Francesca Bagnato
- Neuroimaging Unit, Division of Neuroimmunology, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States,Department of Neurology, Veteran Affairs Medical Center, TN Valley Healthcare System, Nashville, TN, United States
| | - Cornelia Laule
- Department of Radiology, University of British Columbia, Vancouver, BC, Canada,Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada,International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, BC, Canada,Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada
| | - Susan A. Gauthier
- Department of Neurology, Weill Cornell Medicine, Cornell University, New York, NY, United States
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Pitt D, Lo CH, Gauthier SA, Hickman RA, Longbrake E, Airas LM, Mao-Draayer Y, Riley C, De Jager PL, Wesley S, Boster A, Topalli I, Bagnato F, Mansoor M, Stuve O, Kister I, Pelletier D, Stathopoulos P, Dutta R, Lincoln MR. Toward Precision Phenotyping of Multiple Sclerosis. Neurol Neuroimmunol Neuroinflamm 2022; 9:9/6/e200025. [PMID: 36041861 PMCID: PMC9427000 DOI: 10.1212/nxi.0000000000200025] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 02/07/2022] [Indexed: 11/15/2022]
Abstract
The classification of multiple sclerosis (MS) has been established by Lublin in 1996 and revised in 2013. The revision includes clinically isolated syndrome, relapsing-remitting, primary progressive and secondary progressive MS, and has added activity (i.e., formation of white matter lesions or clinical relapses) as a qualifier. This allows for the distinction between active and nonactive progression, which has been shown to be of clinical importance. We propose that a logical extension of this classification is the incorporation of additional key pathological processes, such as chronic perilesional inflammation, neuroaxonal degeneration, and remyelination. This will distinguish MS phenotypes that may present as clinically identical but are driven by different combinations of pathological processes. A more precise description of MS phenotypes will improve prognostication and personalized care as well as clinical trial design. Thus, our proposal provides an expanded framework for conceptualizing MS and for guiding development of biomarkers for monitoring activity along the main pathological axes in MS.
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Affiliation(s)
- David Pitt
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada.
| | - Chih Hung Lo
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Susan A Gauthier
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Richard A Hickman
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Erin Longbrake
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Laura M Airas
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Yang Mao-Draayer
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Claire Riley
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Philip Lawrence De Jager
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Sarah Wesley
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Aaron Boster
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Ilir Topalli
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Francesca Bagnato
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Mohammad Mansoor
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Olaf Stuve
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Ilya Kister
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Daniel Pelletier
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Panos Stathopoulos
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Ranjan Dutta
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Matthew R Lincoln
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
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Combes AJE, O'Grady KP, Rogers BP, Schilling KG, Lawless RD, Visagie M, Houston D, Prock L, Malone S, Satish S, Witt AA, McKnight CD, Bagnato F, Gore JC, Smith SA. Functional connectivity in the dorsal network of the cervical spinal cord is correlated with diffusion tensor imaging indices in relapsing-remitting multiple sclerosis. Neuroimage Clin 2022; 35:103127. [PMID: 35917721 PMCID: PMC9421501 DOI: 10.1016/j.nicl.2022.103127] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 06/03/2022] [Accepted: 07/23/2022] [Indexed: 01/12/2023]
Abstract
Focal lesions may affect functional connectivity (FC) of the ventral and dorsal networks in the cervical spinal cord of people with relapsing-remitting multiple sclerosis (RRMS). Resting-state FC can be measured using functional MRI (fMRI) at 3T. This study sought to determine whether alterations in FC may be related to the degree of damage in the normal-appearing tissue. Tissue integrity and FC in the cervical spinal cord were assessed with diffusion tensor imaging (DTI) and resting-state fMRI, respectively, in a group of 26 RRMS participants with high cervical lesion load, low disability, and minimally impaired sensorimotor function, and healthy controls. Lower fractional anisotropy (FA) and higher radial diffusivity (RD) were observed in the normal-appearing white matter in the RRMS group relative to controls. Average FC in ventral and dorsal networks was similar between groups. Significant associations were found between higher FC in the dorsal sensory network and several DTI markers of pathology in the normal-appearing tissue. In the normal-appearing grey matter, dorsal FC was positively correlated with axial diffusivity (AD) (r = 0.46, p = 0.020) and mean diffusivity (MD) (r = 0.43, p = 0.032). In the normal-appearing white matter, dorsal FC was negatively correlated with FA (r = -0.43, p = 0.028) and positively correlated with RD (r = 0.49, p = 0.012), AD (r = 0.42, p = 0.037) and MD (r = 0.53, p = 0.006). These results suggest that increased connectivity, while remaining within the normal range, may represent a compensatory mechanism in response to structural damage in support of preserved sensory function in RRMS.
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Affiliation(s)
- Anna J E Combes
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Avenue South, Medical Center North, AA-1105, Nashville, TN 37232-2310, United States; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Medical Center North, 1161 21st Ave. South, Nashville, TN 37232, United States.
| | - Kristin P O'Grady
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Avenue South, Medical Center North, AA-1105, Nashville, TN 37232-2310, United States; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Medical Center North, 1161 21st Ave. South, Nashville, TN 37232, United States
| | - Baxter P Rogers
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Avenue South, Medical Center North, AA-1105, Nashville, TN 37232-2310, United States; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Medical Center North, 1161 21st Ave. South, Nashville, TN 37232, United States
| | - Kurt G Schilling
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Avenue South, Medical Center North, AA-1105, Nashville, TN 37232-2310, United States; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Medical Center North, 1161 21st Ave. South, Nashville, TN 37232, United States
| | - Richard D Lawless
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Avenue South, Medical Center North, AA-1105, Nashville, TN 37232-2310, United States; Department of Biomedical Engineering, Vanderbilt University, 2301 Vanderbilt Place, PMB 351826, Nashville, TN 37235-1826, United States
| | - Mereze Visagie
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Avenue South, Medical Center North, AA-1105, Nashville, TN 37232-2310, United States
| | - Delaney Houston
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Avenue South, Medical Center North, AA-1105, Nashville, TN 37232-2310, United States
| | - Logan Prock
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Avenue South, Medical Center North, AA-1105, Nashville, TN 37232-2310, United States
| | - Shekinah Malone
- School of Medicine, Meharry Medical College, 1005 Dr. D. B. Todd, Jr. Blvd., Nashville, TN 37208, United States
| | - Sanjana Satish
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Avenue South, Medical Center North, AA-1105, Nashville, TN 37232-2310, United States
| | - Atlee A Witt
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Avenue South, Medical Center North, AA-1105, Nashville, TN 37232-2310, United States
| | - Colin D McKnight
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Medical Center North, 1161 21st Ave. South, Nashville, TN 37232, United States
| | - Francesca Bagnato
- Neuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center, 1161 21st Ave. South, A-0118 Medical Center North, Nashville, TN 37232, United States; Department of Neurology, Nashville VA Medical Center, TN Valley Healthcare System, 1310 24th Avenue South, Nashville, TN 37212-2637, United States
| | - John C Gore
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Avenue South, Medical Center North, AA-1105, Nashville, TN 37232-2310, United States; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Medical Center North, 1161 21st Ave. South, Nashville, TN 37232, United States; Department of Biomedical Engineering, Vanderbilt University, 2301 Vanderbilt Place, PMB 351826, Nashville, TN 37235-1826, United States
| | - Seth A Smith
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Avenue South, Medical Center North, AA-1105, Nashville, TN 37232-2310, United States; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Medical Center North, 1161 21st Ave. South, Nashville, TN 37232, United States; Department of Biomedical Engineering, Vanderbilt University, 2301 Vanderbilt Place, PMB 351826, Nashville, TN 37235-1826, United States
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Yoon K, Archer DB, Clarke MA, Smith SA, Oguz I, Cutter G, Xu J, Bagnato F. Transcallosal and Corticospinal White Matter Disease and Its Association With Motor Impairment in Multiple Sclerosis. Front Neurol 2022; 13:811315. [PMID: 35785345 PMCID: PMC9240189 DOI: 10.3389/fneur.2022.811315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 04/19/2022] [Indexed: 12/02/2022] Open
Abstract
Purpose In this cross-sectional, proof-of-concept study, we propose that using the more pathologically-specific neurite orientation dispersion and density imaging (NODDI) method, in conjunction with high-resolution probabilistic tractography, white matter tract templates can improve the assessment of regional axonal injury and its association with disability of people with multiple sclerosis (pwMS). Methods Parametric maps of the neurite density index, orientation dispersion index, and the apparent isotropic volume fraction (IVF) were estimated in 18 pwMS and nine matched healthy controls (HCs). Tract-specific values were measured in transcallosal (TC) fibers from the paracentral lobules and TC and corticospinal fibers from the ventral and dorsal premotor areas, presupplementary and supplementary motor areas, and primary motor cortex. The nonparametric Mann–Whitney U test assessed group differences in the NODDI-derived metrics; the Spearman's rank correlation analyses measured associations between the NODDI metrics and other clinical or radiological variables. Results IVF values of the TC fiber bundles from the paracentral, presupplementary, and supplementary motor areas were both higher in pwMS than in HCs (p ≤ 0.045) and in pwMS with motor disability compared to those without motor disability (p ≤ 0.049). IVF in several TC tracts was associated with the Expanded Disability Status Scale score (p ≤ 0.047), while regional and overall lesion burden correlated with the Timed 25-Foot Walking Test (p ≤ 0.049). Conclusion IVF alterations are present in pwMS even when the other NODDI metrics are still mostly preserved. Changes in IVF are biologically non-specific and may not necessarily drive irreversible functional loss. However, by possibly preceding downstream pathologies that are strongly associated with disability accretion, IVF changes are indicators of, otherwise, occult prelesional tissue injury.
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Affiliation(s)
- Keejin Yoon
- Neuroimaging Unit, Division of Neuroimmunology, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States
- College of Arts and Sciences, Vanderbilt University, Nashville, TN, United States
| | - Derek B. Archer
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University School of Medicine, Nashville, TN, United States
- Vanderbilt University School of Medicine, Vanderbilt Genetics Institute, Nashville, TN, United States
| | - Margareta A. Clarke
- Neuroimaging Unit, Division of Neuroimmunology, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Seth A. Smith
- Department of Radiology and Radiological Sciences, Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Ipek Oguz
- Department of Science, Vanderbilt University, Nashville, TN, United States
| | - Gary Cutter
- Department of Biostatistics, School of Public Health, The University of Alabama at Birmingham, Birmingham, AL, United States
| | - Junzhong Xu
- Department of Radiology and Radiological Sciences, Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Francesca Bagnato
- Neuroimaging Unit, Division of Neuroimmunology, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States
- Department of Neurology, VA Medical Center, TN Valley Healthcare System, Nashville, TN, United States
- *Correspondence: Francesca Bagnato
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Bagnato F. Harmonizing Magnetic Resonance Imaging Protocols for Veterans With Multiple Sclerosis. Fed Pract 2022; 39:S10-S13. [DOI: 10.12788/fp.0251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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O'Grady KP, Satish S, Owen QR, Box BA, Bagnato F, Combes AJE, Cook SR, Westervelt HJ, Feiler HR, Lawless RD, Sarma A, Malone SD, Ndolo JM, Yoon K, Dortch RD, Rogers BP, Smith SA. Relaxation-Compensated Chemical Exchange Saturation Transfer MRI in the Brain at 7T: Application in Relapsing-Remitting Multiple Sclerosis. Front Neurol 2022; 13:764690. [PMID: 35299614 PMCID: PMC8923037 DOI: 10.3389/fneur.2022.764690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 02/01/2022] [Indexed: 11/16/2022] Open
Abstract
Chemical exchange saturation transfer (CEST) magnetic resonance imaging (MRI) can probe tissue biochemistry in vivo with high resolution and sensitivity without requiring exogenous contrast agents. Applying CEST MRI at ultrahigh field provides advantages of increasing spectral resolution and improving sensitivity to metabolites with faster proton exchange rates such as glutamate, a critical neurotransmitter in the brain. Prior magnetic resonance spectroscopy and CEST MRI studies have revealed altered regulation of glutamate in patients with multiple sclerosis (MS). While CEST imaging facilitates new strategies for investigating the pathology underlying this complex and heterogeneous neurological disease, CEST signals are contaminated or diluted by concurrent effects (e.g., semi-solid magnetization transfer (MT) and direct water saturation) and are scaled by the T1 relaxation time of the free water pool which may also be altered in the context of disease. In this study of 20 relapsing-remitting MS patients and age- and sex-matched healthy volunteers, glutamate-weighted CEST data were acquired at 7.0 T. A Lorentzian fitting procedure was used to remove the asymmetric MT contribution from CEST z-spectra, and the apparent exchange-dependent relaxation (AREX) correction was applied using an R1 map derived from an inversion recovery sequence to further isolate glutamate-weighted CEST signals from concurrent effects. Associations between AREX and cognitive function were examined using the Minimal Assessment of Cognitive Function in MS battery. After isolating CEST effects from MT, direct water saturation, and T1 effects, glutamate-weighted AREX contrast remained higher in gray matter than in white matter, though the difference between these tissues decreased. Glutamate-weighted AREX in normal-appearing gray and white matter in MS patients did not differ from healthy gray and white matter but was significantly elevated in white matter lesions. AREX in some cortical regions and in white matter lesions correlated with disability and measures of cognitive function in MS patients. However, further studies with larger sample sizes are needed to confirm these relationships due to potential confounding effects. The application of MT and AREX corrections in this study demonstrates the importance of isolating CEST signals for more specific characterization of the contribution of metabolic changes to tissue pathology and symptoms in MS.
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Affiliation(s)
- Kristin P. O'Grady
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Sanjana Satish
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Quinn R. Owen
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Bailey A. Box
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Francesca Bagnato
- Neuroimaging Unit, Division of Neuroimmunology, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States
- Department of Neurology, Nashville VA Medical Center, TN Valley Healthcare System, Nashville, TN, United States
| | - Anna J. E. Combes
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Sarah R. Cook
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Holly James Westervelt
- Division of Behavioral and Cognitive Neurology, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Haley R. Feiler
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Richard D. Lawless
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Asha Sarma
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Shekinah D. Malone
- School of Medicine, Meharry Medical College, Nashville, TN, United States
| | - Josephine M. Ndolo
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Keejin Yoon
- Neuroimaging Unit, Division of Neuroimmunology, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Richard D. Dortch
- Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ, United States
| | - Baxter P. Rogers
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, United States
- Biomedical Engineering, Vanderbilt University, Nashville, TN, United States
| | - Seth A. Smith
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States
- Biomedical Engineering, Vanderbilt University, Nashville, TN, United States
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Clarke MA, Archer D, Yoon K, Oguz I, Smith SA, Xu J, Cutter G, Bagnato F. White matter tracts that overlap with the thalamus and the putamen are protected against multiple sclerosis pathology. Mult Scler Relat Disord 2022; 57:103430. [PMID: 34922252 PMCID: PMC10703593 DOI: 10.1016/j.msard.2021.103430] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 10/12/2021] [Accepted: 11/27/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND The thalamus and the putamen are highly connected hubs implicated in multiple sclerosis (MS) pathology. It remains unclear if white matter (WM) tracts, which pass through them, have a different susceptibility to MS pathology, and if so, if their impact on disability predominates over that exerted by disease in other WM tracts. We hypothesized that WM tracts connected to and passing through these hubs (subsequently termed hub+ tracts) would be more susceptible to MS-related pathology than tracts that do not pass through them (hub- tracts) due to retrograde and anterograde distant degeneration. Thus, we compared the lesion load and neurite orientation dispersion and density imaging (NODDI) derived metrics between hub+ and hub- tracts and assessed the relationship between these MRI metrics and those of physical impairment. METHODS Eighteen patients (mean age of 45.5 years, 12 females) had 3 Tesla MRI consisting of T1-weighted and T2-weighted Fluid Attenuated Inversion Recovery (FLAIR), and NODDI from which the orientation dispersion index (ODI), neurite density index (NDI), and isotropic volume fraction (IVF) were derived. Forty-nine WM tracts, i.e., 12 hub+ and 37 hub- tracts, were segmented out. Exploratory analyses of the differences in lesion burden, whole tract and normal appearing WM (NAWM) NODDI metrics were carried out between the two types of tracts using a Mann-Whitney U test. Correlations with physical impairment, quantified using the expanded disability status scale (EDSS) and timed 25-foot walk (T25FW) test were assessed using Spearman correlation analyses. RESULTS Hub- tracts had larger T1- (p<0.001) and T2-lesion (p<0.001) volumes; lower ODI (p<0.001), NDI (p<0.001) and higher IVF (p = 0.020) in comparison to hub+ tracts. Measures of tissue injury in hub+ tracts correlated with those of clinical disability, though less strongly than in hub- tracts. CONCLUSIONS Contrary to our hypothesis, our exploratory pilot study results suggest that WM tracts that overlap with the thalamus and the putamen have a lower degree of lesional and non-lesional tissue injury, suggesting a protective role of the hubs against MS pathology or a higher degree of vulnerability of those not passing through hub stations. We also show a weaker association between disability impairment and hub+ pathology, compared to that in hub- tracts. Our findings point to a potential role of disease location in relation to hubs as guidance for treatment personalization in MS.
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Affiliation(s)
- M A Clarke
- Neuroimaging Unit, Neuro-immunology Division, Department of Neurology, Vanderbilt University Medical Center, Nashville TN, USA.
| | - D Archer
- Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, USA
| | - K Yoon
- School of Medicine, Vanderbilt University, Nashville TN, USA
| | - I Oguz
- Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville TN, USA
| | - S A Smith
- Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville TN, USA; Vanderbilt University Institute of Imaging Sciences, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville TN, USA
| | - J Xu
- Vanderbilt University Institute of Imaging Sciences, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville TN, USA
| | - G Cutter
- Department of Biostatistics, University of Alabama, Birmingham, AL, USA
| | - F Bagnato
- Neuroimaging Unit, Neuro-immunology Division, Department of Neurology, Vanderbilt University Medical Center, Nashville TN, USA; Department of Neurology, VA Medical Center, TN Valley Healthcare System (TVHS) Nashville TN, USA
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13
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Kim D, Kuruvilla-Dugdale M, de Riesthal M, Jones R, Bagnato F, Mefferd A. Articulatory Correlates of Stress Pattern Disturbances in Talkers With Dysarthria. J Speech Lang Hear Res 2021; 64:2287-2300. [PMID: 33984259 PMCID: PMC8740652 DOI: 10.1044/2021_jslhr-20-00299] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Revised: 10/31/2020] [Accepted: 01/17/2021] [Indexed: 06/01/2023]
Abstract
Purpose Reduced stress commonly occurs in talkers with Parkinson's disease (PD), whereas excessive and equal stress is frequently associated with dysarthria of talkers with amyotrophic lateral sclerosis (ALS) and multiple sclerosis (MS). This study sought to identify articulatory impairment patterns that underlie these two impaired stress patterns. We further aimed to determine if talkers with the same stress pattern disturbance but different diseases (ALS and MS) exhibit disease-specific articulatory deficits. Method Fifty-seven talkers participated in the study-33 talkers with dysarthria and 24 controls. Talkers with dysarthria were grouped based on their medical diagnosis: PD (n = 15), ALS (n = 10), MS (n = 8). Participants repeated target words embedded in a carrier phrase. Kinematic data were recorded using electromagnetic articulography. Duration, displacement, peak speed, stiffness, time-to-peak speed, and parameter c were extracted for the initial lower lip opening stroke of each target word, which was either stressed or unstressed. Results Stress effects were significant for all kinematic measures across groups except for stiffness and time-to-peak speed, which were nonsignificant in ALS. For comparisons with controls, more kinematic measures significantly differed in the ALS group than in the PD and MS groups. Additionally, ALS and MS showed mostly similar articulatory impairment patterns. Conclusions In general, significant stress effects were observed in talkers with dysarthria. However, stress-specific between-group differences in articulatory performance, particularly displacement, may explain the perceptual impression of disturbed stress patterns. Furthermore, similar findings for ALS and MS suggest that articulatory deficits underlying similar stress pattern disturbances are not disease-specific.
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Affiliation(s)
- Daniel Kim
- Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN
| | | | - Michael de Riesthal
- Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN
| | - Robin Jones
- Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN
| | - Francesca Bagnato
- Neuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN
| | - Antje Mefferd
- Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN
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14
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Chen A, Wen S, Lakhani DA, Gao S, Yoon K, Smith SA, Dortch R, Xu J, Bagnato F. Assessing brain injury topographically using MR neurite orientation dispersion and density imaging in multiple sclerosis. J Neuroimaging 2021; 31:1003-1013. [PMID: 34033187 DOI: 10.1111/jon.12876] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 04/14/2021] [Accepted: 04/29/2021] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND AND PURPOSE Axonal injury is a key player of disability in persons with multiple sclerosis (pwMS). Yet, detecting and measuring it in vivo is challenging. The neurite orientation dispersion and density imaging (NODDI) proposes a novel framework for probing axonal integrity in vivo. NODDI at 3.0 Tesla was used to quantify tissue damage in pwMS and its relationship with disease progression. METHODS Eighteen pwMS (4 clinically isolated syndrome, 11 relapsing remitting, and 3 secondary progressive MS) and nine age- and sex-matched healthy controls underwent a brain MRI, inclusive of clinical sequences and a multi-shell diffusion acquisition. Parametric maps of axial diffusivity (AD), neurite density index (ndi), apparent isotropic volume fraction (ivf), and orientation dispersion index (odi) were fitted. Anatomically matched regions of interest were used to quantify AD and NODDI-derived metrics and to assess the relations between these measures and those of disease progression. RESULTS AD, ndi, ivf, and odi significantly differed between chronic black holes (cBHs) and T2-lesions, and between the latter and normal appearing white matter (NAWM). All metrics except ivf significantly differed between NAWM located next to a cBH and that situated contra-laterally. Only NAWM odi was significantly associated with T2-lesion volume, the timed 25-foot walk test and disease duration. CONCLUSIONS NODDI is sensitive to tissue injury but its relationship with clinical progression remains limited.
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Affiliation(s)
- Amalie Chen
- Neuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.,Neurology Residency, Brigham and Women's Hospital, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Sijin Wen
- Department of Biostatistics, West Virginia University, Morgantown, West Virginia, USA
| | - Dhairya A Lakhani
- Neuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.,Department of Radiology, West Virginia University, Morgantown, West Virginia, USA
| | - Si Gao
- Department of Biostatistics, West Virginia University, Morgantown, West Virginia, USA
| | - Keejin Yoon
- Neuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.,Vanderbilt University College of Arts and Science, Nashville, Tennessee, USA
| | - Seth A Smith
- Vanderbilt University Institute of Imaging Sciences, Department of Radiology and Radiological Sciences, VUMC, Nashville, Tennessee, USA
| | - Richard Dortch
- Vanderbilt University Institute of Imaging Sciences, Department of Radiology and Radiological Sciences, VUMC, Nashville, Tennessee, USA.,Division of Neuroimaging Research, Barrow Neurological Institute, Phoenix, Arizona, USA
| | - Junzhong Xu
- Vanderbilt University Institute of Imaging Sciences, Department of Radiology and Radiological Sciences, VUMC, Nashville, Tennessee, USA
| | - Francesca Bagnato
- Neuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.,Department of Neurology, VA Hospital, TN Valley Healthcare System (TVHS) Nashville, Tennessee, USA
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Bagnato F, Wallin M. COVID-19 Vaccine in Veterans with Multiple Sclerosis: Protect the Vulnerable. Fed Pract 2021; 38:S28-S32. [PMID: 34177237 PMCID: PMC8221823 DOI: 10.12788/fp.0113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Older veterans with progressive MS and associated comorbidities are at higher risk of death should they be infected by COVID-19 and we urge health care providers to educate every veteran about the benefits of being vaccinated against COVID-19.
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Affiliation(s)
- Francesca Bagnato
- is the Associate Director of Research of the Multiple Sclerosis Center of Excellence East (MSCoE-East); a Neurologist at Nashville Veterans Affairs Medical Center (VAMC), and an Assistant Professor at Vanderbilt University Medical Center in Tennessee. is the Director of the MSCoE-East; a Neurologist at the Washington VAMC, and an Associate Professor at George Washington University in Washington, DC
| | - Mitchell Wallin
- is the Associate Director of Research of the Multiple Sclerosis Center of Excellence East (MSCoE-East); a Neurologist at Nashville Veterans Affairs Medical Center (VAMC), and an Assistant Professor at Vanderbilt University Medical Center in Tennessee. is the Director of the MSCoE-East; a Neurologist at the Washington VAMC, and an Associate Professor at George Washington University in Washington, DC
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16
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Bagnato F, Gauthier SA, Laule C, Moore GRW, Bove R, Cai Z, Cohen-Adad J, Harrison DM, Klawiter EC, Morrow SA, Öz G, Rooney WD, Smith SA, Calabresi PA, Henry RG, Oh J, Ontaneda D, Pelletier D, Reich DS, Shinohara RT, Sicotte NL. Imaging Mechanisms of Disease Progression in Multiple Sclerosis: Beyond Brain Atrophy. J Neuroimaging 2021; 30:251-266. [PMID: 32418324 DOI: 10.1111/jon.12700] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Revised: 02/04/2020] [Accepted: 02/18/2020] [Indexed: 12/11/2022] Open
Abstract
Clinicians involved with different aspects of the care of persons with multiple sclerosis (MS) and scientists with expertise on clinical and imaging techniques convened in Dallas, TX, USA on February 27, 2019 at a North American Imaging in Multiple Sclerosis Cooperative workshop meeting. The aim of the workshop was to discuss cardinal pathobiological mechanisms implicated in the progression of MS and novel imaging techniques, beyond brain atrophy, to unravel these pathologies. Indeed, although brain volume assessment demonstrates changes linked to disease progression, identifying the biological mechanisms leading up to that volume loss are key for understanding disease mechanisms. To this end, the workshop focused on the application of advanced magnetic resonance imaging (MRI) and positron emission tomography (PET) imaging techniques to assess and measure disease progression in both the brain and the spinal cord. Clinical translation of quantitative MRI was recognized as of vital importance, although the need to maintain a relatively short acquisition time mandated by most radiology departments remains the major obstacle toward this effort. Regarding PET, the panel agreed upon its utility to identify ongoing pathological processes. However, due to costs, required expertise, and the use of ionizing radiation, PET was not considered to be a viable option for ongoing care of persons with MS. Collaborative efforts fostering robust study designs and imaging technique standardization across scanners and centers are needed to unravel disease mechanisms leading to progression and discovering medications halting neurodegeneration and/or promoting repair.
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Affiliation(s)
- Francesca Bagnato
- Neuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN
| | - Susan A Gauthier
- Judith Jaffe Multiple Sclerosis Center, Department of Neurology, Feil Family Brain and Mind Institute, and Department of Radiology, Weill Cornell Medicine, New York, NY
| | - Cornelia Laule
- Department of Radiology, Pathology, and Laboratory Medicine, Department of Physics and Astronomy, and International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, British Columbia, Canada
| | - George R Wayne Moore
- Department of Pathology and Laboratory Medicine, and International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, British Columbia, Canada
| | - Riley Bove
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA
| | - Zhengxin Cai
- Department of Radiology and Biomedical Imaging, PET Center, Yale University, New Haven, CT
| | - Julien Cohen-Adad
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal and Functional Neuroimaging Unit, CRIUGM, University of Montreal, Montreal, Quebec, Canada
| | - Daniel M Harrison
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD
| | - Eric C Klawiter
- Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Sarah A Morrow
- Department of Clinical Neurological Sciences, University of Western Ontario, London, Ontario, Canada
| | - Gülin Öz
- Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN
| | - William D Rooney
- Advanced Imaging Research Center, Departments of Biomedical Engineering, Neurology, and Behavioral Neuroscience, Oregon Health & Science University, Portland, OR
| | - Seth A Smith
- Radiology and Radiological Sciences and Vanderbilt University Imaging Institute, Vanderbilt University Medical Center, and Biomedical Engineering, Vanderbilt University, Nashville, TN
| | - Peter A Calabresi
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Roland G Henry
- Departments of Neurology, Radiology and Biomedical Imaging, and the UC San Francisco & Berkeley Bioengineering Graduate Group, University of California San Francisco, San Francisco, CA
| | - Jiwon Oh
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD.,Division of Neurology, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Daniel Ontaneda
- Mellen Center for Multiple Sclerosis, Neurological Institute, Cleveland Clinic, Cleveland, OH
| | - Daniel Pelletier
- Department of Neurology, University of Southern California Keck School of Medicine, Los Angeles, CA
| | - Daniel S Reich
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD
| | - Russell T Shinohara
- Department of Biostatistics, Epidemiology, and Informatics, Penn Statistics in Imaging and Visualization Center, University of Pennsylvania, Philadelphia, PA
| | - Nancy L Sicotte
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA
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- Neuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN
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17
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Clarke MA, Lakhani DA, Wen S, Gao S, Smith SA, Dortch R, Xu J, Bagnato F. Perilesional neurodegenerative injury in multiple sclerosis: Relation to focal lesions and impact on disability. Mult Scler Relat Disord 2021; 49:102738. [PMID: 33609957 DOI: 10.1016/j.msard.2021.102738] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 12/21/2020] [Accepted: 01/03/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND Axonal injury is the primary source of irreversible neurological decline in persons with multiple sclerosis (pwMS). Identifying and quantifying myelin and axonal loss in lesional and perilesional tissue in vivo is fundamental for a better understanding of multiple sclerosis (MS) outcomes and patient impairment. Using advanced magnetic resonance imaging (MRI) methods, consisting of selective inversion recovery quantitative magnetization transfer imaging (SIR-qMT) and multi-compartment diffusion MRI with the spherical mean technique (SMT), we conducted a cross-sectional pilot study to assess myelin and axonal damage in the normal appearing white matter (NAWM) surrounding chronic black holes (cBHs) and how this pathology correlates with disability in vivo. We hypothesized that lesional axonal transection propagates tissue injury in the surrounding NAWM and that the degree of this injury is related to patient disability. METHODS Eighteen pwMS underwent a 3.0 Tesla conventional clinical MRI, inclusive of T1 and T2 weighted protocols, as well as SIR-qMT and SMT. Regions of interests (ROIs) were manually delineated in cBHs, NAWM neighboring cBHs (perilesional NAWM), distant ipsilateral NAWM and contra-lateral distant NAWM. SIR-qMT-derived macromolecular-to-free pool size ratio (PSR) and SMT-derived apparent axonal volume fraction (Vax) were extracted to infer on myelin and axonal content, respectively. Group differences were assessed using mixed-effects regression models and correlation analyses were obtained by bootstrapping 95% confidence interval. RESULTS In comparison to perilesional NAWM, both PSR and Vax values were reduced in cBHs (p < 0.0001) and increased in distant contra-lateral NAWM ROIs (p < 0.001 for PSR and p < 0.0001 for Vax) but not ipsilateral NAWM (p = 0.176 for PSR and p = 0.549 for Vax). Vax values measured in cBHs correlated with those in perilesional NAWM (Pearson rho = 0.63, p < 0.001). No statistically relevant associations were seen between PSR/Vax values and clinical and/or MRI metrics of the disease with the exception of cBH PSR values, which correlated with the Expanded Disability Status Scale (Pearson rho = -0.63, p = 0.03). CONCLUSIONS Our results show that myelin and axonal content, detected by PSR and Vax, are reduced in perilesional NAWM, as a function of the degree of focal cBH axonal injury. This finding is indicative of an ongoing anterograde/retrograde degeneration and suggests that treatment prevention of cBH development is a key factor for preserving NAWM integrity in surrounding tissue. It also suggests that measuring changes in perilesional areas over time may be a useful measure of outcome for proof-of-concept clinical trials on neuroprotection and repair. PSR and Vax largely failed to capture associations with clinical and MRI characteristics, likely as a result of the small sample size and cross-sectional design, however, longitudinal assessment of a larger cohort may unravel the impact of this pathology on disease progression.
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Affiliation(s)
- Margareta A Clarke
- Neuroimaging Unit, Neuro-immunology Division, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Dhairya A Lakhani
- Neuroimaging Unit, Neuro-immunology Division, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Radiology, West Virginia University, Morgantown, WV, USA
| | - Sijin Wen
- Department of Biostatistics, West Virginia University, Morgantown, WV, USA
| | - Si Gao
- Department of Biostatistics, West Virginia University, Morgantown, WV, USA
| | - Seth A Smith
- Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA; Vanderbilt University Institute of Imaging Sciences, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Richard Dortch
- Vanderbilt University Institute of Imaging Sciences, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Junzhong Xu
- Vanderbilt University Institute of Imaging Sciences, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Francesca Bagnato
- Neuroimaging Unit, Neuro-immunology Division, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Neurology, VA Hospital, TN Valley Healthcare System, Nashville, TN, USA.
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18
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Harper K, Roof M, Wadhawan N, Terala A, Turchan M, Bagnato F, Upender R, Pham H, Eoff B, Charles D. Vanderbilt University Medical Center Ambulatory Teleneurology COVID-19 Experience. Telemed J E Health 2020; 27:701-705. [PMID: 33216703 PMCID: PMC8215411 DOI: 10.1089/tmj.2020.0382] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Background: Telehealth has proliferated since the 1950s, but adoption and coverage of telehealth services for the U.S. public have been slow. In response to the coronavirus disease 2019 (COVID-19) pandemic, the federal government has implemented temporary policy changes that removed barriers and catalyzed the unprecedented adoption of telehealth. Methods: To assess ambulatory teleneurology satisfaction, we analyzed postvisit questionnaire data from patients and clinicians who completed teleneurology visits during the COVID-19 pandemic at Vanderbilt University Medical Center Department of Neurology (VUMC). Results: From March 18 to May 8, 2020, VUMC completed 3,935 teleneurology visits. More than 97% of patients were very highly or highly confident in the telehealth care they received, whereas almost 99% of clinicians were very likely or somewhat likely to recommend telehealth to other clinicians. Conclusions: Teleneurology satisfaction at VUMC has been positive, and going forward, we must advance upon this unprecedented adoption of telehealth and never revert to former restrictive policies.
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Affiliation(s)
- Kelly Harper
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Mikayla Roof
- College of Arts and Science, Vanderbilt University, Nashville, Tennessee, USA
| | - Nivan Wadhawan
- College of Arts and Science, Vanderbilt University, Nashville, Tennessee, USA
| | - Ananya Terala
- College of Arts and Science, Vanderbilt University, Nashville, Tennessee, USA
| | - Maxim Turchan
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Francesca Bagnato
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Raghu Upender
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Huong Pham
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Bryan Eoff
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - David Charles
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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Abstract
Inpainting lesions is an important preprocessing task for algorithms analyzing brain MRIs of multiple sclerosis (MS) patients, such as tissue segmentation and cortical surface reconstruction. We propose a new deep learning approach for this task. Unlike existing inpainting approaches which ignore the lesion areas of the input image, we leverage the edge information around the lesions as a prior to help the inpainting process. Thus, the input of this network includes the T1-w image, lesion mask and the edge map computed from the T1-w image, and the output is the lesion-free image. The introduction of the edge prior is based on our observation that the edge detection results of the MRI scans will usually contain the contour of white matter (WM) and grey matter (GM), even though some undesired edges appear near the lesions. Instead of losing all the information around the neighborhood of lesions, our approach preserves the local tissue shape (brain/WM/GM) with the guidance of the input edges. The qualitative results show that our pipeline inpaints the lesion areas in a realistic and shape-consistent way. Our quantitative evaluation shows that our approach outperforms the existing state-of-the-art inpainting methods in both image-based metrics and in FreeSurfer segmentation accuracy. Furthermore, our approach demonstrates robustness to inaccurate lesion mask inputs. This is important for practical usability, because it allows for a generous over-segmentation of lesions instead of requiring precise boundaries, while still yielding accurate results.
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Affiliation(s)
| | - Rohit Bakshi
- Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Francesca Bagnato
- Vanderbilt University Medical Center and Nashville VA Medical Center, Nashville, TN 37212, USA
| | - Ipek Oguz
- Vanderbilt University, Nashville, TN 37235, USA
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20
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Jelescu IO, Palombo M, Bagnato F, Schilling KG. Challenges for biophysical modeling of microstructure. J Neurosci Methods 2020; 344:108861. [PMID: 32692999 PMCID: PMC10163379 DOI: 10.1016/j.jneumeth.2020.108861] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 07/10/2020] [Accepted: 07/14/2020] [Indexed: 02/07/2023]
Abstract
The biophysical modeling efforts in diffusion MRI have grown considerably over the past 25 years. In this review, we dwell on the various challenges along the journey of bringing a biophysical model from initial design to clinical implementation, identifying both hurdles that have been already overcome and outstanding issues. First, we describe the critical initial task of selecting which features of tissue microstructure can be estimated using a model and which acquisition protocol needs to be implemented to make the estimation possible. The model performance should necessarily be tested in realistic numerical simulations and in experimental data - adapting the fitting strategy accordingly, and parameter estimates should be validated against complementary techniques, when/if available. Secondly, the model performance and validity should be explored in pathological conditions, and, if appropriate, dedicated models for pathology should be developed. We build on examples from tumors, ischemia and demyelinating diseases. We then discuss the challenges associated with clinical translation and added value. Finally, we single out four major unresolved challenges that are related to: the availability of a microstructural ground truth, the validation of model parameters which cannot be accessed with complementary techniques, the development of a generalized standard model for any brain region and pathology, and the seamless communication between different parties involved in the development and application of biophysical models of diffusion.
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21
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Affiliation(s)
- Francesca Bagnato
- Neuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA/Department of Neurology, Nashville VA Medical Center, Tennessee Valley Healthcare System, Nashville, TN, USA
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22
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Lakhani DA, Schilling KG, Xu J, Bagnato F. Advanced Multicompartment Diffusion MRI Models and Their Application in Multiple Sclerosis. AJNR Am J Neuroradiol 2020; 41:751-757. [PMID: 32354707 DOI: 10.3174/ajnr.a6484] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2019] [Accepted: 02/03/2020] [Indexed: 01/22/2023]
Abstract
Conventional MR imaging techniques are sensitive to pathologic changes of the brain and spinal cord seen in MS, but they lack specificity for underlying axonal and myelin integrity. By isolating the signal contribution from different tissue compartments, newly developed advanced multicompartment diffusion MR imaging models have the potential to detect specific tissue subtypes and associated injuries with increased pathologic specificity. These models include neurite orientation dispersion and density imaging, diffusion basis spectrum imaging, multicompartment microscopic diffusion MR imaging with the spherical mean technique, and models enabled through high-gradient diffusion MR imaging. In this review, we provide an appraisal of the current literature on the physics principles, histopathologic validation, and clinical applications of each of these techniques in both brains and spinal cords of patients with MS. We discuss limitations of each of the methods and directions that future research could take to provide additional validation of their roles as biomarkers of axonal and myelin injury in MS.
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Affiliation(s)
- D A Lakhani
- From the Neuroimaging Unit (D.A.L., F.B.), Neuroimmunology Division, Department of Neurology
- Division of Internal Medicine (D.A.L.)
- Department of Radiology (D.A.L.), West Virginia University, Morgantown, West Virginia
| | - K G Schilling
- Department of Radiology and Radiological Sciences (K.G.S., J.X.), Vanderbilt University Institute of Imaging Sciences, Vanderbilt University Medical Center, Nashville, Tennessee
| | - J Xu
- Department of Radiology and Radiological Sciences (K.G.S., J.X.), Vanderbilt University Institute of Imaging Sciences, Vanderbilt University Medical Center, Nashville, Tennessee
| | - F Bagnato
- From the Neuroimaging Unit (D.A.L., F.B.), Neuroimmunology Division, Department of Neurology
- Department of Neurology (F.B.), VA Tennessee Valley Healthcare System, Nashville, Tennessee
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Cronin MJ, Xu J, Bagnato F, Gochberg DF, Gore JC, Dortch RD. Rapid whole-brain quantitative magnetization transfer imaging using 3D selective inversion recovery sequences. Magn Reson Imaging 2020; 68:66-74. [PMID: 32004710 PMCID: PMC8609909 DOI: 10.1016/j.mri.2020.01.014] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Revised: 01/04/2020] [Accepted: 01/26/2020] [Indexed: 10/25/2022]
Abstract
Selective inversion recovery (SIR) is a quantitative magnetization transfer (qMT) method that provides estimates of parameters related to myelin content in white matter, namely the macromolecular pool-size-ratio (PSR) and the spin-lattice relaxation rate of the free pool (R1f), without the need for independent estimates of ∆B0, B1+, and T1. Although the feasibility of performing SIR in the human brain has been demonstrated, the scan times reported previously were too long for whole-brain applications. In this work, we combined optimized, short-TR acquisitions, SENSE/partial-Fourier accelerations, and efficient 3D readouts (turbo spin-echo, SIR-TSE; echo-planar imaging, SIR-EPI; and turbo field echo, SIR-TFE) to obtain whole-brain data in 18, 10, and 7 min for SIR-TSE, SIR-EPI, SIR-TFE, respectively. Based on numerical simulations, all schemes provided accurate parameter estimates in large, homogenous regions; however, the shorter SIR-TFE scans underestimated focal changes in smaller lesions due to blurring. Experimental studies in healthy subjects (n = 8) yielded parameters that were consistent with literature values and repeatable across scans (coefficient of variation: PSR = 2.2-6.4%, R1f = 0.6-1.4%) for all readouts. Overall, SIR-TFE parameters exhibited the lowest variability, while SIR-EPI parameters were adversely affected by susceptibility-related image distortions. In patients with relapsing remitting multiple sclerosis (n = 2), focal changes in SIR parameters were observed in lesions using all three readouts; however, contrast was reduced in smaller lesions for SIR-TFE, which was consistent with the numerical simulations. Together, these findings demonstrate that efficient, accurate, and repeatable whole-brain SIR can be performed using 3D TFE, EPI, or TSE readouts; however, the appropriate readout should be tailored to the application.
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Affiliation(s)
- Matthew J Cronin
- Vanderbilt University Medical Center, Department Radiology and Radiological Sciences, Nashville, TN, United States of America; Vanderbilt University Medical Center, Institute of Imaging Science, Nashville, TN, United States of America
| | - Junzhong Xu
- Vanderbilt University Medical Center, Department Radiology and Radiological Sciences, Nashville, TN, United States of America; Vanderbilt University Medical Center, Institute of Imaging Science, Nashville, TN, United States of America; Vanderbilt University, Department of Physics and Astronomy, Nashville, TN, United States of America
| | - Francesca Bagnato
- Vanderbilt University Medical Center, Department of Neurology, Neuro-Immunology Division/Neuro-Imaging Unit, Nashville, TN, United States of America
| | - Daniel F Gochberg
- Vanderbilt University Medical Center, Department Radiology and Radiological Sciences, Nashville, TN, United States of America; Vanderbilt University Medical Center, Institute of Imaging Science, Nashville, TN, United States of America; Vanderbilt University, Department of Physics and Astronomy, Nashville, TN, United States of America
| | - John C Gore
- Vanderbilt University Medical Center, Department Radiology and Radiological Sciences, Nashville, TN, United States of America; Vanderbilt University Medical Center, Institute of Imaging Science, Nashville, TN, United States of America; Vanderbilt University, Department of Physics and Astronomy, Nashville, TN, United States of America; Vanderbilt University, Department of Biomedical Engineering, Nashville, TN, United States of America
| | - Richard D Dortch
- Vanderbilt University Medical Center, Department Radiology and Radiological Sciences, Nashville, TN, United States of America; Vanderbilt University Medical Center, Institute of Imaging Science, Nashville, TN, United States of America; Vanderbilt University, Department of Biomedical Engineering, Nashville, TN, United States of America.
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Bagnato F, Franco G, Ye F, Fan R, Commiskey P, Smith SA, Xu J, Dortch R. Selective inversion recovery quantitative magnetization transfer imaging: Toward a 3 T clinical application in multiple sclerosis. Mult Scler 2020; 26:457-467. [PMID: 30907234 PMCID: PMC7528886 DOI: 10.1177/1352458519833018] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Assessing the degree of myelin injury in patients with multiple sclerosis (MS) is challenging due to the lack of magnetic resonance imaging (MRI) methods specific to myelin quantity. By measuring distinct tissue parameters from a two-pool model of the magnetization transfer (MT) effect, quantitative magnetization transfer (qMT) may yield these indices. However, due to long scan times, qMT has not been translated clinically. OBJECTIVES We aim to assess the clinical feasibility of a recently optimized selective inversion recovery (SIR) qMT and to test the hypothesis that SIR-qMT-derived metrics are informative of radiological and clinical disease-related changes in MS. METHODS A total of 18 MS patients and 9 age- and sex-matched healthy controls (HCs) underwent a 3.0 Tesla (3 T) brain MRI, including clinical scans and an optimized SIR-qMT protocol. Four subjects were re-scanned at a 2-week interval to determine inter-scan variability. RESULTS SIR-qMT measures differed between lesional and non-lesional tissue (p < 0.0001) and between normal-appearing white matter (NAWM) of patients with more advanced disability and normal white matter (WM) of HCs (p < 0.05). SIR-qMT measures were associated with lesion volumes, disease duration, and disability scores (p ⩽ 0.002). CONCLUSION SIR-qMT at 3 T is clinically feasible and predicts both radiological and clinical disease severity in MS.
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Affiliation(s)
- Francesca Bagnato
- Department of Neurology, Neuro-Immunology Division/Neuro-Imaging Unit, Vanderbilt University Medical Center (VUMC), Nashville, TN
| | - Giulia Franco
- Department of Neurology, Neuro-Immunology Division/Neuro-Imaging Unit, Vanderbilt University Medical Center (VUMC), Nashville, TN
- IRCCS Foundation Ca’ Granda Ospedale Maggiore Policlinico, Dino Ferrari Center, Neuroscience Section, Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Fei Ye
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN; USA
| | - Run Fan
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN; USA
| | | | - Seth A. Smith
- Vanderbilt University Institute of Imaging Science; Nashville, TN
| | - Junzhong Xu
- Vanderbilt University Institute of Imaging Science; Nashville, TN
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN
| | - Richard Dortch
- Vanderbilt University Institute of Imaging Science; Nashville, TN
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN
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25
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Chaganti S, Welty VF, Taylor W, Albert K, Failla MD, Cascio C, Smith S, Mawn L, Resnick SM, Beason-Held LL, Bagnato F, Lasko T, Blume JD, Landman BA. Discovering novel disease comorbidities using electronic medical records. PLoS One 2019; 14:e0225495. [PMID: 31774837 PMCID: PMC6880990 DOI: 10.1371/journal.pone.0225495] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Accepted: 09/22/2019] [Indexed: 11/18/2022] Open
Abstract
Increasing reliance on electronic medical records at large medical centers provides unique opportunities to perform population level analyses exploring disease progression and etiology. The massive accumulation of diagnostic, procedure, and laboratory codes in one place has enabled the exploration of co-occurring conditions, their risk factors, and potential prognostic factors. While most of the readily identifiable associations in medical records are (now) well known to the scientific community, there is no doubt many more relationships are still to be uncovered in EMR data. In this paper, we introduce a novel finding index to help with that task. This new index uses data mined from real-time PubMed abstracts to indicate the extent to which empirically discovered associations are already known (i.e., present in the scientific literature). Our methods leverage second-generation p-values, which better identify associations that are truly clinically meaningful. We illustrate our new method with three examples: Autism Spectrum Disorder, Alzheimer’s Disease, and Optic Neuritis. Our results demonstrate wide utility for identifying new associations in EMR data that have the highest priority among the complex web of correlations and causalities. Data scientists and clinicians can work together more effectively to discover novel associations that are both empirically reliable and clinically understudied.
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Affiliation(s)
- Shikha Chaganti
- Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee, United States of America
- * E-mail:
| | - Valerie F. Welty
- Department of Biostatistics, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Warren Taylor
- Department of Psychiatry & Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Kimberly Albert
- Department of Psychiatry & Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Michelle D. Failla
- Department of Psychiatry & Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Carissa Cascio
- Department of Psychiatry & Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Seth Smith
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Louise Mawn
- Department of Ophthalmology and Visual Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Susan M. Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, Maryland, United States of America
| | - Lori L. Beason-Held
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, Maryland, United States of America
| | - Francesca Bagnato
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Thomas Lasko
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Jeffrey D. Blume
- Department of Biostatistics, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Bennett A. Landman
- Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee, United States of America
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Zhang H, Valcarcel AM, Bakshi R, Chu R, Bagnato F, Shinohara RT, Hett K, Oguz I. Multiple Sclerosis Lesion Segmentation with Tiramisu and 2.5D Stacked Slices. Med Image Comput Comput Assist Interv 2019; 11766:338-346. [PMID: 34950934 PMCID: PMC8692167 DOI: 10.1007/978-3-030-32248-9_38] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
In this paper, we present a fully convolutional densely connected network (Tiramisu) for multiple sclerosis (MS) lesion segmentation. Different from existing methods, we use stacked slices from all three anatomical planes to achieve a 2.5D method. Individual slices from a given orientation provide global context along the plane and the stack of adjacent slices adds local context. By taking stacked data from three orientations, the network has access to more samples for training and can make more accurate segmentation by combining information of different forms. The conducted experiments demonstrated the competitive performance of our method. For an ablation study, we simulated lesions on healthy controls to generate images with ground truth lesion masks. This experiment confirmed that the use of 2.5D patches, stacked data and the Tiramisu model improve the MS lesion segmentation performance. In addition, we evaluated our approach on the Longitudinal MS Lesion Segmentation Challenge. The overall score of 93.1 places the L 2-loss variant of our method in the first position on the leaderboard, while the focal-loss variant has obtained the best Dice coefficient and lesion-wise true positive rate with 69.3% and 60.2%, respectively.
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Affiliation(s)
| | | | - Rohit Bakshi
- Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Renxin Chu
- Brigham and Women's Hospital, Boston, MA 02115, USA
| | | | | | - Kilian Hett
- Vanderbilt University, Nashville, TN 37235, USA
| | - Ipek Oguz
- Vanderbilt University, Nashville, TN 37235, USA
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27
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Bagnato F, Franco G, Li H, Kaden E, Ye F, Fan R, Chen A, Alexander DC, Smith SA, Dortch R, Xu J. Probing axons using multi-compartmental diffusion in multiple sclerosis. Ann Clin Transl Neurol 2019; 6:1595-1605. [PMID: 31407532 PMCID: PMC6764633 DOI: 10.1002/acn3.50836] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Revised: 05/28/2019] [Accepted: 06/06/2019] [Indexed: 11/10/2022] Open
Abstract
Objects The diffusion‐based spherical mean technique (SMT) provides a novel model to relate multi‐b‐value diffusion magnetic resonance imaging (MRI) data to features of tissue microstructure. We propose the first clinical application of SMT to image the brain of patients with multiple sclerosis (MS) and investigate clinical feasibility and translation. Methods Eighteen MS patients and nine age‐ and sex‐matched healthy controls (HCs) underwent a 3.0 Tesla scan inclusive of clinical sequences and SMT images (isotropic resolution of 2 mm). Axial diffusivity (AD), apparent axonal volume fraction (Vax), and effective neural diffusivity (Dax) parametric maps were fitted. Differences in AD, Vax, and Dax between anatomically matched regions reflecting different tissues types were estimated using generalized linear mixed models for binary outcomes. Results Differences were seen in all SMT‐derived parameters between chronic black holes (cBHs) and T2‐lesions (P ≤ 0.0016), in Vax and AD between T2‐lesions and normal appearing white matter (NAWM) (P < 0.0001), but not between the NAWM and normal WM in HCs. Inverse correlations were seen between Vax and AD in cBHs (r = −0.750, P = 0.02); in T2‐lesions Dax values were associated with Vax (r = 0.824, P < 0.0001) and AD (r = 0.570, P = 0.014). Interpretations SMT‐derived metrics are sensitive to pathological changes and hold potential for clinical application in MS patients.
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Affiliation(s)
- Francesca Bagnato
- Neuroimaging Unit/Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee.,Neurology Department, VA, TN Valley Healthcare System, Nashville, Tennessee, 37215
| | - Giulia Franco
- Neuroimaging Unit/Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee.,IRCCS Foundation Ca' Granda Ospedale Maggiore Policlinico, Dino Ferrari Center, Neuroscience Section, Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Hua Li
- Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Enrico Kaden
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom
| | - Fei Ye
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Run Fan
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Amalie Chen
- Neuroimaging Unit/Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Daniel C Alexander
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom
| | - Seth A Smith
- Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Richard Dortch
- Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee.,Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee
| | - Junzhong Xu
- Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee
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Romano S, Ferraldeschi M, Bagnato F, Mechelli R, Morena E, Caldano M, Buscarinu MC, Fornasiero A, Frontoni M, Nociti V, Mirabella M, Mayer F, Bertolotto A, Pozzilli C, Vanacore N, Salvetti M, Ristori G. Drug Holiday of Interferon Beta 1b in Multiple Sclerosis: A Pilot, Randomized, Single Blind Study of Non-inferiority. Front Neurol 2019; 10:695. [PMID: 31379701 PMCID: PMC6646514 DOI: 10.3389/fneur.2019.00695] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Accepted: 06/13/2019] [Indexed: 12/31/2022] Open
Abstract
Introduction: To compare a schedule with cyclic withdrawal (CW) of interferon beta (IFN-b) 1b, respect to the full regimen (FR), in relapsing-remitting MS (RR-MS). Methods: Participants were randomly assigned to CW or FR schedule and monthly monitored with brain MRI scans for 12 months (three of run-in and 9 of treatment). CW schedule included drug withdrawal for 1 month after two of treatment for a total of three quarters over the 9-month treatment period. The assessing neurologist and the expert neuroradiologists were blind. After the blind phase of the study all participants took their indicated disease modifying therapies in a prospectively planned, open-label extension phase (up to 120 months). Results: Of 60 randomized subjects 56 (29 in FR and 27 in CW group) completed the single-blind phase: the two groups were comparable, except for a non-significant difference in the number of contrast-enhanced lesions (CEL) at the end of run-in. The two-sided 90% CI for the ratio between median number of cumulative CEL was 0.29–1.07, allowing to significantly reject the null hypothesis of a ratio ≥1.2 and to meet the primary end-point of non-inferiority (the threshold and the ratio between median were chosen according to the non-normal distribution of the data). The differences (CW vs. FR) were also non-significant for secondary end points: mean cumulative number of T2-weighted new and enlarging lesions (3.48 ± 5.34 vs. 3.86 ± 6.76); mean number and volume (cm3) of black holes (1.24 ± 1.61 vs. 2.71 ± 4.56; 489.11 ± 1488.12 vs. 204.48 ± 396.98); number of patients with at least an active scan (21 vs. 22); mean relapse rate (0.52 ± 0.89 vs. 0.34 ± 0.66), relapse risk ratio adjusted for baseline variables (2.15 [0.64–7.18]), EDSS score (1.0 [1–1.56] vs. 1.5 [1–1.78]), proportion of patients with antibodies anti-IFN (5 [21%] vs. 8 [36%]). Fifty-four patients (27 for each study arm) completed the open-label phase. The annualized RR, EDSS, proportion of patients shifting to progressive disease and hazard ratio of shifting, adjusting for baseline covariates, were comparable between the two study groups. Conclusions: A calendar with CW was non-inferior than FR at the beginning of IFN-b therapy, and may not affect the long-term outcome. Clinical Trial Registration:www.ClinicalTrials.gov, identifier: NCT00270816
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Affiliation(s)
- Silvia Romano
- Neurosciences, Mental Health, and Sensory Organs (NESMOS) Department, Center for Experimental Neurological Therapies, S. Andrea Hospital-site, "Sapienza" University of Rome, Rome, Italy
| | - Michela Ferraldeschi
- Department of Neurology and Psychiatry, "Sapienza" University of Rome, Rome, Italy
| | - Francesca Bagnato
- Neuroimmunology Division, Department of Neurology, Neuroimaging Unit, Vanderbilt University Medical Centre, Nashville, TN, United States
| | - Rosella Mechelli
- Neurosciences, Mental Health, and Sensory Organs (NESMOS) Department, Center for Experimental Neurological Therapies, S. Andrea Hospital-site, "Sapienza" University of Rome, Rome, Italy
| | - Emanuele Morena
- Neurosciences, Mental Health, and Sensory Organs (NESMOS) Department, Center for Experimental Neurological Therapies, S. Andrea Hospital-site, "Sapienza" University of Rome, Rome, Italy
| | - Marzia Caldano
- Neurologia - Centro Riferimento Regionale Sclerosi Multipla and Neuroscience Institute Cavalieri Ottolenghi, San Luigi Hospital, Turin, Italy
| | - Maria Chiara Buscarinu
- Neurosciences, Mental Health, and Sensory Organs (NESMOS) Department, Center for Experimental Neurological Therapies, S. Andrea Hospital-site, "Sapienza" University of Rome, Rome, Italy
| | - Arianna Fornasiero
- Neurosciences, Mental Health, and Sensory Organs (NESMOS) Department, Center for Experimental Neurological Therapies, S. Andrea Hospital-site, "Sapienza" University of Rome, Rome, Italy
| | - Marco Frontoni
- D.A.I. Neurosciences and Mental Health, "Sapienza" University of Rome, Rome, Italy
| | - Viviana Nociti
- Università Cattolica, Fondazione Policlinico Universitario "A. Gemelli, " Rome, Italy.,Don Carlo Gnocchi Foundation Onlus, Milan, Italy
| | | | - Flavia Mayer
- National Centre of Epidemiology, National Institute of Health, Rome, Italy
| | - Antonio Bertolotto
- Neurologia - Centro Riferimento Regionale Sclerosi Multipla and Neuroscience Institute Cavalieri Ottolenghi, San Luigi Hospital, Turin, Italy
| | - Carlo Pozzilli
- Department of Neurology and Psychiatry, "Sapienza" University of Rome, Rome, Italy
| | - Nicola Vanacore
- National Centre of Epidemiology, National Institute of Health, Rome, Italy
| | - Marco Salvetti
- Neurosciences, Mental Health, and Sensory Organs (NESMOS) Department, Center for Experimental Neurological Therapies, S. Andrea Hospital-site, "Sapienza" University of Rome, Rome, Italy.,IRCCS Istituto Neurologico Mediterraneo (INM) Neuromed, Pozzilli, Italy
| | - Giovanni Ristori
- Neurosciences, Mental Health, and Sensory Organs (NESMOS) Department, Center for Experimental Neurological Therapies, S. Andrea Hospital-site, "Sapienza" University of Rome, Rome, Italy
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Mefferd AS, Lai A, Bagnato F. A first investigation of tongue, lip, and jaw movements in persons with dysarthria due to multiple sclerosis. Mult Scler Relat Disord 2019; 27:188-194. [PMID: 30399501 PMCID: PMC6333529 DOI: 10.1016/j.msard.2018.10.116] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Revised: 10/24/2018] [Accepted: 10/29/2018] [Indexed: 11/17/2022]
Abstract
BACKGROUND Multiple sclerosis can affect the speech motor system and result in dysarthria. OBJECTIVES This pilot study sought to identify tongue, lip, and jaw motor deficits in persons with dysarthria due to multiple sclerosis (PwDMS) to better understand the speech motor mechanisms that underlie their aberrant speech. METHODS Tongue and jaw movements during "ai" and lower lip and jaw movements during "bob"were examined in eleven PwDMS and fourteen age- and sex-matched controls using three-dimensional electromagnetic articulography. Movement duration, maximum displacement, peak speed, stiffness (i.e., peak speed/displacement ratio), and jaw contribution to lower lip and tongue displacements were of particular interest. RESULTS Whereas most kinematic measures yielded significant between-group differences for tongue and jaw motor performance during "ai", lower lip and jaw motor performance during "bob" were mostly comparable between groups. CONCLUSION Findings suggest that speech movements of the tongue are differentially more impaired than those of the lower lip in PwDMS. Particularly the ability to move the tongue with adequate speed during speech was significantly impaired in PwDMS, which may explain, in part, their slowed speech rate. Aberrant jaw kinematics during "ai" may be a compensatory strategy to maximize speech clarity in the presence of the impaired tongue motor performance.
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Affiliation(s)
- Antje S Mefferd
- Department of Hearing and Speech Sciences, 8310 Medical Center East, Nashville, TN 37232, United States.
| | - Abish Lai
- Department of Hearing and Speech Sciences, 8310 Medical Center East, Nashville, TN 37232, United States
| | - Francesca Bagnato
- Neuroimaging Unit/Neuroimmunology Division Department of Neurology, Vanderbilt University Medical Center, 1211 Medical Center Drive, Nashville, TN 37232, United States
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Abstract
INTRODUCTION Alemtuzumab is a monoclonal antibody that targets for the destruction CD52+ cells, particularly B and T cells. Alemtuzumab is approved in more than 50 countries around the world for the treatment of adult patients with relapsing remitting multiple sclerosis (MS). Areas covered: In this review, the authors summarize biological, clinical and safety data related to the use of alemtuzumab in patients with MS. The authors then provide their expert opinion on alemtuzumab and the field as of whole before providing their perspectives for the future. Expert opinion: Alemtuzumab is highly efficacious; more so than first line treatments but comparable to natalizumab. Treatment schedule makes alemtuzumab administration easy and attractive to patients. However, its safety profile makes it a choice for a very limited number of patients, in a specific disease window. As of now, a cure for MS remains elusive and there is an unmet need for a safe and highly potent agent at the level of and beyond the blood brain barrier.
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Affiliation(s)
- Jennifer R Evan
- a Department of Neurology, Neuroimmunology Division/Neuroimaging Unit , Vanderbilt University Medical Center , Nashville , TN , USA.,b MedStar Health Union Memorial Hospital , Baltimore , MD , USA
| | - Subutay B Bozkurt
- a Department of Neurology, Neuroimmunology Division/Neuroimaging Unit , Vanderbilt University Medical Center , Nashville , TN , USA.,c University of Szeged Medical School , Szeged , Hungary
| | - Nikita C Thomas
- a Department of Neurology, Neuroimmunology Division/Neuroimaging Unit , Vanderbilt University Medical Center , Nashville , TN , USA
| | - Francesca Bagnato
- a Department of Neurology, Neuroimmunology Division/Neuroimaging Unit , Vanderbilt University Medical Center , Nashville , TN , USA
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31
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O'Grady KP, Dula AN, Lyttle BD, Thompson LM, Conrad BN, Box BA, McKeithan LJ, Pawate S, Bagnato F, Landman BA, Newhouse P, Smith SA. Glutamate-sensitive imaging and evaluation of cognitive impairment in multiple sclerosis. Mult Scler 2018; 25:1580-1592. [PMID: 30230400 DOI: 10.1177/1352458518799583] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
BACKGROUND Cognitive impairment (CI) profoundly impacts quality of life for patients with multiple sclerosis (MS). Dysfunctional regulation of glutamate in gray matter (GM) has been implicated in the pathogenesis of MS by post-mortem pathological studies and in CI by in vivo magnetic resonance spectroscopy, yet GM pathology is subtle and difficult to detect using conventional T1- and T2-weighted magnetic resonance imaging (MRI). There is a need for high-resolution, clinically accessible imaging techniques that probe molecular changes in GM. OBJECTIVE To study cortical GM pathology related to CI in MS using glutamate-sensitive chemical exchange saturation transfer (GluCEST) MRI at 7.0 Tesla (7T). METHODS A total of 20 patients with relapsing-remitting MS and 20 healthy controls underwent cognitive testing, anatomical imaging, and GluCEST imaging. Glutamate-sensitive image contrast was quantified for cortical GM, compared between cohorts, and correlated with clinical measures of CI. RESULTS AND CONCLUSION Glutamate-sensitive contrast was significantly increased in the prefrontal cortex of MS patients with accumulated disability (p < 0.05). In addition, glutamate-sensitive contrast in the prefrontal cortex was significantly correlated with symbol digit modality test (rS = -0.814) and choice reaction time (rS = 0.772) scores in patients (p < 0.05), suggesting that GluCEST MRI may have utility as a marker for GM pathology and CI.
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Affiliation(s)
- Kristin P O'Grady
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Adrienne N Dula
- Department of Neurology, Dell Medical School, The University of Texas at Austin, Austin, TX, USA
| | - Bailey D Lyttle
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lindsey M Thompson
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Benjamin N Conrad
- Neuroscience Graduate Program, Vanderbilt Brain Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Bailey A Box
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lydia J McKeithan
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Siddharama Pawate
- Vanderbilt Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Francesca Bagnato
- Neuroimaging Unit, Neuroimmunology Division, Vanderbilt Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Bennett A Landman
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA/Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA/Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA/Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Paul Newhouse
- Department of Psychiatry and Behavioral Sciences, Center for Cognitive Medicine, Vanderbilt University Medical Center, Nashville, TN, USA/Veterans Affairs Tennessee Valley Healthcare System Geriatric Research, Education, and Clinical Center (VA TVHS GRECC), Nashville, TN, USA
| | - Seth A Smith
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA/Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA/Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
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Pietropaolo V, Prezioso C, Bagnato F, Antonelli G. John Cunningham virus: an overview on biology and disease of the etiological agent of the progressive multifocal leukoencephalopathy. New Microbiol 2018; 41:179-186. [PMID: 29620790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Accepted: 09/05/2018] [Indexed: 06/08/2023]
Abstract
John Cunningham virus (JCV), the etiological agent of progressive multifocal leukoencephalopathy (PML), is the first human polyomavirus described. After asymptomatic primary infection which occurs in childhood, the virus spreads by the hematogenous route from the primary site of infection to secondary sites including kidneys, lymphoid tissues, peripheral blood leukocytes, and brain to establish latent infection. During immunosuppression the virus undergoes molecular rearrangements that allow it to replicate in glial tissues causing PML. PML occurs in people with underlying immunodeficiency or in individuals being treated with potent immunomodulatory therapies. Although the hypothesis that immune deficiency is a predisposing factor for PML, there are many unsolved issues including the pathogenic mechanisms related to the interaction of JCV infection/reactivation with the host. This is due to the difficulty of propagating the virus in human cell cultures and the absence of an animal model. This review updates current understanding in the context of JCV and human disease.
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Affiliation(s)
- Valeria Pietropaolo
- Department of Public Health and Infectious Diseases, "Sapienza" University, Rome, Italy
| | - Carla Prezioso
- Department of Public Health and Infectious Diseases, "Sapienza" University, Rome, Italy
| | - Francesca Bagnato
- Vanderbilt University, Department of Neurology, Multiple Sclerosis Center, Nashville, TN, USA
| | - Guido Antonelli
- Department of Molecular Medicine and Pasteur Institute-Cenci Bolognetti Foundation, "Sapienza" University Rome, Italy
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Bagnato F, Hametner S, Franco G, Pawate S, Sriram S, Lassmann H, Gore J, Smith SE, Dortch R. Selective Inversion Recovery Quantitative Magnetization Transfer Brain MRI at 7T: Clinical and Postmortem Validation in Multiple Sclerosis. J Neuroimaging 2018; 28:380-388. [PMID: 29676026 DOI: 10.1111/jon.12511] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2017] [Accepted: 02/28/2018] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND AND PURPOSE An imaging biomarker of myelin integrity is an unmet need in multiple sclerosis (MS). Selective inversion recovery (SIR) quantitative magnetization transfer imaging (qMT) provides assays of myelin content in the human brain. We previously translated the SIR method to 7T and incorporated a rapid turbo field echo (TFE) readout for whole-brain imaging within clinically acceptable scan times. We herein provide histological validation and test in vivo feasibility and applicability of the SIR-TFE protocol in MS. METHODS Clinical (T1 - and T2 -weighted) and SIR-TFE MRI scans were performed at 7T in a postmortem MS brain and MRI data were acquired in 10 MS patients and 14 heathy volunteers in vivo. The following parameters were estimated from SIR data: the macromolecular-to-free water pool-size-ratio (PSR), the spin-lattice relaxation rate of water (R1f ), and the MT exchange rate (kmf ). Differences in SIR parameters across tissue types, eg, white matter lesions (WM-Ls) and normal appearing WM (NAWM) in patients, and normal white matter (NWM) in heathy volunteers were evaluated. Associations between SIR parameters and disability scores were assessed. RESULTS For postmortem scans, correspondence was observed between WM-Ls and NAWM from histology and PSR/R1f values. In vivo differences were detected for PSR, R1f , and kmf between WM-Ls and NWM (P ≤ .041). Associations were seen between WM-Ls/ NAWM PSR and disability scores (r ≤ -.671, P ≤ .048). CONCLUSIONS SIR-qMT at 7T provides sensitive, quantitative measures of myelin integrity for clinical and research applications.
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Affiliation(s)
- Francesca Bagnato
- Department of Neurology, Neuro-Immunology Division/Neuro-Imaging Unit, Vanderbilt University Medical Center, Nashville, TN
| | - Simon Hametner
- Institute of Brain Pathology, Medical University, Vienna
| | - Giulia Franco
- Department of Neurology, Neuro-Immunology Division/Neuro-Imaging Unit, Vanderbilt University Medical Center, Nashville, TN.,Department of Neurology, University Hospital Policlinico of Milan, Italy
| | - Siddharama Pawate
- Department of Neurology, Neuro-Immunology Division, Vanderbilt University Medical Center, Nashville, TN
| | - Subramaniam Sriram
- Department of Neurology, Neuro-Immunology Division, Vanderbilt University Medical Center, Nashville, TN
| | - Hans Lassmann
- Institute of Brain Pathology, Medical University, Vienna
| | - John Gore
- Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN
| | - Seth E Smith
- Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN
| | - Richard Dortch
- Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN.,Department of Biomedical Engineering, Vanderbilt University, Nashville, TN
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Dortch RD, Bagnato F, Gochberg DF, Gore JC, Smith SA. Optimization of selective inversion recovery magnetization transfer imaging for macromolecular content mapping in the human brain. Magn Reson Med 2018; 80:1824-1835. [PMID: 29573356 DOI: 10.1002/mrm.27174] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2017] [Revised: 02/01/2018] [Accepted: 02/17/2018] [Indexed: 11/11/2022]
Abstract
PURPOSE To optimize a selective inversion recovery (SIR) sequence for macromolecular content mapping in the human brain at 3.0T. THEORY AND METHODS SIR is a quantitative method for measuring magnetization transfer (qMT) that uses a low-power, on-resonance inversion pulse. This results in a biexponential recovery of free water signal that can be sampled at various inversion/predelay times (tI/ tD ) to estimate a subset of qMT parameters, including the macromolecular-to-free pool-size-ratio (PSR), the R1 of free water (R1f ), and the rate of MT exchange (kmf ). The adoption of SIR has been limited by long acquisition times (≈4 min/slice). Here, we use Cramér-Rao lower bound theory and data reduction strategies to select optimal tI /tD combinations to reduce imaging times. The schemes were experimentally validated in phantoms, and tested in healthy volunteers (N = 4) and a multiple sclerosis patient. RESULTS Two optimal sampling schemes were determined: (i) a 5-point scheme (kmf estimated) and (ii) a 4-point scheme (kmf assumed). In phantoms, the 5/4-point schemes yielded parameter estimates with similar SNRs as our previous 16-point scheme, but with 4.1/6.1-fold shorter scan times. Pair-wise comparisons between schemes did not detect significant differences for any scheme/parameter. In humans, parameter values were consistent with published values, and similar levels of precision were obtained from all schemes. Furthermore, fixing kmf reduced the sensitivity of PSR to partial-volume averaging, yielding more consistent estimates throughout the brain. CONCLUSIONS qMT parameters can be robustly estimated in ≤1 min/slice (without independent measures of ΔB0 , B1+, and T1 ) when optimized tI -tD combinations are selected.
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Affiliation(s)
- Richard D Dortch
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee.,Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee.,Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee
| | - Francesca Bagnato
- Department of Neurology/Neuroimmunology Division/Neuroimaging Unit, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Daniel F Gochberg
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee.,Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee.,Department of Physics and Astronomy, Vanderbilt University, Nashville, Tennessee
| | - John C Gore
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee.,Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee.,Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee.,Department of Physics and Astronomy, Vanderbilt University, Nashville, Tennessee.,Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, Tennessee
| | - Seth A Smith
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee.,Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee.,Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee.,Department of Physics and Astronomy, Vanderbilt University, Nashville, Tennessee
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Kotari V, Salha R, Wang D, Wood E, Salvetti M, Ristori G, Tang L, Bagnato F, Ikonomidou VN. Validating Nonlinear Registration to Improve Subtraction Images for Lesion Detection and Quantification in Multiple Sclerosis. J Neuroimaging 2017; 28:70-78. [PMID: 29064129 DOI: 10.1111/jon.12479] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2017] [Revised: 09/21/2017] [Accepted: 09/26/2017] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND AND PURPOSE To propose and validate nonlinear registration techniques for generating subtraction images because of their ability to reduce artifacts and improve lesion detection and lesion volume quantification. METHODS Postcontrast T1 -weighted spin echo and T2 -weighted dual echo images were acquired for 20 patients with relapsing-remitting multiple sclerosis (RRMS) on a monthly basis for a year (14 women, average age 33.6 ± 6.9). The T2 -weighted images from the first scan were used as a baseline for each patient. The images from the last scan were registered to the baseline image. Four different registration algorithms used for evaluation included; linear, halfway linear, nonlinear, and nonlinear halfway. Subtraction images were generated after brain extraction, intensity normalization, and Gaussian blurring. Lesion activity changes along with identified artifacts were scored on all four techniques by two independent observers. Additionally, quantitative analysis of the algorithms was performed by estimating the volume changes of simulated lesions and real lesions. For real lesion volume change analysis, five subjects were selected randomly. Subtraction images were generated between all the 11 time points and the baseline image using linear and nonlinear registration for the five subjects. RESULTS Lesion activity detection resulted in similar performance among the four registration techniques. Lesion volume measurements on subtraction images using nonlinear registration were closer to lesion volume on T2 -weighted images. A statistically significant difference was observed among the four registration techniques while evaluating yin-yang artifacts. Pairwise comparisons showed that nonlinear registration results in the least amount of yin-yang artifacts, which are significantly different. CONCLUSIONS Nonlinear registration for generation of subtraction images has been demonstrated to be a promising new technique as it shows improvement in lesion activity change detection. This approach decreases the number of artifacts in subtraction images. With improved lesion volume estimates and reduced artifacts, nonlinear registration may lead to discarding less subject data and an improvement in the statistical power of subtraction imaging studies.
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Affiliation(s)
- Vikas Kotari
- Electrical Engineering Department, George Mason University, Fairfax, VA
| | - Racha Salha
- Bioengineering Department, George Mason University, Fairfax, VA
| | - Dana Wang
- Bioengineering Department, George Mason University, Fairfax, VA
| | - Emily Wood
- Electrical Engineering Department, George Mason University, Fairfax, VA
| | - Marco Salvetti
- Centre for Experimental Neurological Therapies (CENTERS), Department of Neurosciences, Mental Health and Sensory Organs, Sapienza University - S. Andrea Hospital, Rome, Italy
| | - Giovanni Ristori
- Centre for Experimental Neurological Therapies (CENTERS), Department of Neurosciences, Mental Health and Sensory Organs, Sapienza University - S. Andrea Hospital, Rome, Italy
| | - Larry Tang
- IRCCS Istituto Neurologico Mediterraneo (INM) Neuromed, 86077, Pozzilli, IS, Italy, (MS).,Department of Statistics, George Mason University, Fairfax, VA
| | - Francesca Bagnato
- Vanderbilt University, Department of Neurology, Multiple Sclerosis Center, Nashville, TN
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Gelfand JM, Bradshaw MJ, Stern BJ, Clifford DB, Wang Y, Cho TA, Koth LL, Hauser SL, Dierkhising J, Vu N, Sriram S, Moses H, Bagnato F, Kaufmann JA, Ammah DJ, Yohannes TH, Hamblin MJ, Venna N, Green AJ, Pawate S. Infliximab for the treatment of CNS sarcoidosis: A multi-institutional series. Neurology 2017; 89:2092-2100. [PMID: 29030454 DOI: 10.1212/wnl.0000000000004644] [Citation(s) in RCA: 116] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2017] [Accepted: 08/30/2017] [Indexed: 12/30/2022] Open
Abstract
OBJECTIVE To describe clinical and imaging responses in neurosarcoidosis to infliximab, a monoclonal antibody against tumor necrosis factor-α. METHODS Investigators at 6 US centers retrospectively identified patients with CNS sarcoidosis treated with infliximab, including only patients with definite or probable neurosarcoidosis following rigorous exclusion of other causes. RESULTS Of 66 patients with CNS sarcoidosis (27 definite, 39 probable) treated with infliximab for a median of 1.5 years, the mean age was 47.5 years at infliximab initiation (SD 11.7, range 24-71 years); 56.1% were female; 62.1% were white, 37.0% African American, and 3% Hispanic. Sarcoidosis was isolated to the CNS in 19.7%. Using infliximab doses ranging from 3 to 7 mg/kg every 4-8 weeks, MRI evidence of a favorable treatment response was observed in 82.1% of patients with imaging follow-up (n = 56), with complete remission of active disease in 51.8% and partial MRI improvement in 30.1%; MRI worsened in 1 patient (1.8%). There was clinical improvement in 77.3% of patients, with complete neurologic recovery in 28.8%, partial improvement in 48.5%, clinical stability in 18.2%, worsening in 3%, and 1 lost to follow-up. In 16 patients in remission when infliximab was discontinued, the disease recurred in 9 (56%), typically in the same neuroanatomic location. CONCLUSIONS Most patients with CNS sarcoidosis treated with infliximab exhibit favorable imaging and clinical treatment responses, including some previously refractory to other immunosuppressive treatments. CLASSIFICATION OF EVIDENCE This study provides Class IV evidence that for patients with CNS sarcoidosis infliximab is associated with favorable imaging and clinical responses.
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Affiliation(s)
- Jeffrey M Gelfand
- From the Department of Neurology (J.M.G., S.L.H., J.D., A.J.G.), Division of Pulmonary and Critical Care, Department of Medicine (L.L.K.), and Department of Ophthalmology (A.J.G.), University of California San Francisco; Department of Neurology (M.J.B., N.V., S.S., H.M., F.B., S.P.), Vanderbilt University Medical Center, Nashville, TN; Department of Neurology (B.J.S., J.A.K., D.J.A.), University of Maryland Medical Center, Baltimore; Departments of Neurology and Medicine (D.B.C., T.H.Y.), Washington University in St. Louis, MO; Department of Neurology (Y.W., M.J.H.), University of Kansas Medical Center, Kansas City; and Department of Neurology (T.A.C., N.V.), Massachusetts General Hospital, Boston
| | - Michael J Bradshaw
- From the Department of Neurology (J.M.G., S.L.H., J.D., A.J.G.), Division of Pulmonary and Critical Care, Department of Medicine (L.L.K.), and Department of Ophthalmology (A.J.G.), University of California San Francisco; Department of Neurology (M.J.B., N.V., S.S., H.M., F.B., S.P.), Vanderbilt University Medical Center, Nashville, TN; Department of Neurology (B.J.S., J.A.K., D.J.A.), University of Maryland Medical Center, Baltimore; Departments of Neurology and Medicine (D.B.C., T.H.Y.), Washington University in St. Louis, MO; Department of Neurology (Y.W., M.J.H.), University of Kansas Medical Center, Kansas City; and Department of Neurology (T.A.C., N.V.), Massachusetts General Hospital, Boston
| | - Barney J Stern
- From the Department of Neurology (J.M.G., S.L.H., J.D., A.J.G.), Division of Pulmonary and Critical Care, Department of Medicine (L.L.K.), and Department of Ophthalmology (A.J.G.), University of California San Francisco; Department of Neurology (M.J.B., N.V., S.S., H.M., F.B., S.P.), Vanderbilt University Medical Center, Nashville, TN; Department of Neurology (B.J.S., J.A.K., D.J.A.), University of Maryland Medical Center, Baltimore; Departments of Neurology and Medicine (D.B.C., T.H.Y.), Washington University in St. Louis, MO; Department of Neurology (Y.W., M.J.H.), University of Kansas Medical Center, Kansas City; and Department of Neurology (T.A.C., N.V.), Massachusetts General Hospital, Boston
| | - David B Clifford
- From the Department of Neurology (J.M.G., S.L.H., J.D., A.J.G.), Division of Pulmonary and Critical Care, Department of Medicine (L.L.K.), and Department of Ophthalmology (A.J.G.), University of California San Francisco; Department of Neurology (M.J.B., N.V., S.S., H.M., F.B., S.P.), Vanderbilt University Medical Center, Nashville, TN; Department of Neurology (B.J.S., J.A.K., D.J.A.), University of Maryland Medical Center, Baltimore; Departments of Neurology and Medicine (D.B.C., T.H.Y.), Washington University in St. Louis, MO; Department of Neurology (Y.W., M.J.H.), University of Kansas Medical Center, Kansas City; and Department of Neurology (T.A.C., N.V.), Massachusetts General Hospital, Boston
| | - Yunxia Wang
- From the Department of Neurology (J.M.G., S.L.H., J.D., A.J.G.), Division of Pulmonary and Critical Care, Department of Medicine (L.L.K.), and Department of Ophthalmology (A.J.G.), University of California San Francisco; Department of Neurology (M.J.B., N.V., S.S., H.M., F.B., S.P.), Vanderbilt University Medical Center, Nashville, TN; Department of Neurology (B.J.S., J.A.K., D.J.A.), University of Maryland Medical Center, Baltimore; Departments of Neurology and Medicine (D.B.C., T.H.Y.), Washington University in St. Louis, MO; Department of Neurology (Y.W., M.J.H.), University of Kansas Medical Center, Kansas City; and Department of Neurology (T.A.C., N.V.), Massachusetts General Hospital, Boston
| | - Tracey A Cho
- From the Department of Neurology (J.M.G., S.L.H., J.D., A.J.G.), Division of Pulmonary and Critical Care, Department of Medicine (L.L.K.), and Department of Ophthalmology (A.J.G.), University of California San Francisco; Department of Neurology (M.J.B., N.V., S.S., H.M., F.B., S.P.), Vanderbilt University Medical Center, Nashville, TN; Department of Neurology (B.J.S., J.A.K., D.J.A.), University of Maryland Medical Center, Baltimore; Departments of Neurology and Medicine (D.B.C., T.H.Y.), Washington University in St. Louis, MO; Department of Neurology (Y.W., M.J.H.), University of Kansas Medical Center, Kansas City; and Department of Neurology (T.A.C., N.V.), Massachusetts General Hospital, Boston
| | - Laura L Koth
- From the Department of Neurology (J.M.G., S.L.H., J.D., A.J.G.), Division of Pulmonary and Critical Care, Department of Medicine (L.L.K.), and Department of Ophthalmology (A.J.G.), University of California San Francisco; Department of Neurology (M.J.B., N.V., S.S., H.M., F.B., S.P.), Vanderbilt University Medical Center, Nashville, TN; Department of Neurology (B.J.S., J.A.K., D.J.A.), University of Maryland Medical Center, Baltimore; Departments of Neurology and Medicine (D.B.C., T.H.Y.), Washington University in St. Louis, MO; Department of Neurology (Y.W., M.J.H.), University of Kansas Medical Center, Kansas City; and Department of Neurology (T.A.C., N.V.), Massachusetts General Hospital, Boston
| | - Stephen L Hauser
- From the Department of Neurology (J.M.G., S.L.H., J.D., A.J.G.), Division of Pulmonary and Critical Care, Department of Medicine (L.L.K.), and Department of Ophthalmology (A.J.G.), University of California San Francisco; Department of Neurology (M.J.B., N.V., S.S., H.M., F.B., S.P.), Vanderbilt University Medical Center, Nashville, TN; Department of Neurology (B.J.S., J.A.K., D.J.A.), University of Maryland Medical Center, Baltimore; Departments of Neurology and Medicine (D.B.C., T.H.Y.), Washington University in St. Louis, MO; Department of Neurology (Y.W., M.J.H.), University of Kansas Medical Center, Kansas City; and Department of Neurology (T.A.C., N.V.), Massachusetts General Hospital, Boston
| | - Jason Dierkhising
- From the Department of Neurology (J.M.G., S.L.H., J.D., A.J.G.), Division of Pulmonary and Critical Care, Department of Medicine (L.L.K.), and Department of Ophthalmology (A.J.G.), University of California San Francisco; Department of Neurology (M.J.B., N.V., S.S., H.M., F.B., S.P.), Vanderbilt University Medical Center, Nashville, TN; Department of Neurology (B.J.S., J.A.K., D.J.A.), University of Maryland Medical Center, Baltimore; Departments of Neurology and Medicine (D.B.C., T.H.Y.), Washington University in St. Louis, MO; Department of Neurology (Y.W., M.J.H.), University of Kansas Medical Center, Kansas City; and Department of Neurology (T.A.C., N.V.), Massachusetts General Hospital, Boston
| | - NgocHanh Vu
- From the Department of Neurology (J.M.G., S.L.H., J.D., A.J.G.), Division of Pulmonary and Critical Care, Department of Medicine (L.L.K.), and Department of Ophthalmology (A.J.G.), University of California San Francisco; Department of Neurology (M.J.B., N.V., S.S., H.M., F.B., S.P.), Vanderbilt University Medical Center, Nashville, TN; Department of Neurology (B.J.S., J.A.K., D.J.A.), University of Maryland Medical Center, Baltimore; Departments of Neurology and Medicine (D.B.C., T.H.Y.), Washington University in St. Louis, MO; Department of Neurology (Y.W., M.J.H.), University of Kansas Medical Center, Kansas City; and Department of Neurology (T.A.C., N.V.), Massachusetts General Hospital, Boston
| | - Subramaniam Sriram
- From the Department of Neurology (J.M.G., S.L.H., J.D., A.J.G.), Division of Pulmonary and Critical Care, Department of Medicine (L.L.K.), and Department of Ophthalmology (A.J.G.), University of California San Francisco; Department of Neurology (M.J.B., N.V., S.S., H.M., F.B., S.P.), Vanderbilt University Medical Center, Nashville, TN; Department of Neurology (B.J.S., J.A.K., D.J.A.), University of Maryland Medical Center, Baltimore; Departments of Neurology and Medicine (D.B.C., T.H.Y.), Washington University in St. Louis, MO; Department of Neurology (Y.W., M.J.H.), University of Kansas Medical Center, Kansas City; and Department of Neurology (T.A.C., N.V.), Massachusetts General Hospital, Boston
| | - Harold Moses
- From the Department of Neurology (J.M.G., S.L.H., J.D., A.J.G.), Division of Pulmonary and Critical Care, Department of Medicine (L.L.K.), and Department of Ophthalmology (A.J.G.), University of California San Francisco; Department of Neurology (M.J.B., N.V., S.S., H.M., F.B., S.P.), Vanderbilt University Medical Center, Nashville, TN; Department of Neurology (B.J.S., J.A.K., D.J.A.), University of Maryland Medical Center, Baltimore; Departments of Neurology and Medicine (D.B.C., T.H.Y.), Washington University in St. Louis, MO; Department of Neurology (Y.W., M.J.H.), University of Kansas Medical Center, Kansas City; and Department of Neurology (T.A.C., N.V.), Massachusetts General Hospital, Boston
| | - Francesca Bagnato
- From the Department of Neurology (J.M.G., S.L.H., J.D., A.J.G.), Division of Pulmonary and Critical Care, Department of Medicine (L.L.K.), and Department of Ophthalmology (A.J.G.), University of California San Francisco; Department of Neurology (M.J.B., N.V., S.S., H.M., F.B., S.P.), Vanderbilt University Medical Center, Nashville, TN; Department of Neurology (B.J.S., J.A.K., D.J.A.), University of Maryland Medical Center, Baltimore; Departments of Neurology and Medicine (D.B.C., T.H.Y.), Washington University in St. Louis, MO; Department of Neurology (Y.W., M.J.H.), University of Kansas Medical Center, Kansas City; and Department of Neurology (T.A.C., N.V.), Massachusetts General Hospital, Boston
| | - Jeffrey A Kaufmann
- From the Department of Neurology (J.M.G., S.L.H., J.D., A.J.G.), Division of Pulmonary and Critical Care, Department of Medicine (L.L.K.), and Department of Ophthalmology (A.J.G.), University of California San Francisco; Department of Neurology (M.J.B., N.V., S.S., H.M., F.B., S.P.), Vanderbilt University Medical Center, Nashville, TN; Department of Neurology (B.J.S., J.A.K., D.J.A.), University of Maryland Medical Center, Baltimore; Departments of Neurology and Medicine (D.B.C., T.H.Y.), Washington University in St. Louis, MO; Department of Neurology (Y.W., M.J.H.), University of Kansas Medical Center, Kansas City; and Department of Neurology (T.A.C., N.V.), Massachusetts General Hospital, Boston
| | - Deidre J Ammah
- From the Department of Neurology (J.M.G., S.L.H., J.D., A.J.G.), Division of Pulmonary and Critical Care, Department of Medicine (L.L.K.), and Department of Ophthalmology (A.J.G.), University of California San Francisco; Department of Neurology (M.J.B., N.V., S.S., H.M., F.B., S.P.), Vanderbilt University Medical Center, Nashville, TN; Department of Neurology (B.J.S., J.A.K., D.J.A.), University of Maryland Medical Center, Baltimore; Departments of Neurology and Medicine (D.B.C., T.H.Y.), Washington University in St. Louis, MO; Department of Neurology (Y.W., M.J.H.), University of Kansas Medical Center, Kansas City; and Department of Neurology (T.A.C., N.V.), Massachusetts General Hospital, Boston
| | - Tsion H Yohannes
- From the Department of Neurology (J.M.G., S.L.H., J.D., A.J.G.), Division of Pulmonary and Critical Care, Department of Medicine (L.L.K.), and Department of Ophthalmology (A.J.G.), University of California San Francisco; Department of Neurology (M.J.B., N.V., S.S., H.M., F.B., S.P.), Vanderbilt University Medical Center, Nashville, TN; Department of Neurology (B.J.S., J.A.K., D.J.A.), University of Maryland Medical Center, Baltimore; Departments of Neurology and Medicine (D.B.C., T.H.Y.), Washington University in St. Louis, MO; Department of Neurology (Y.W., M.J.H.), University of Kansas Medical Center, Kansas City; and Department of Neurology (T.A.C., N.V.), Massachusetts General Hospital, Boston
| | - Mark J Hamblin
- From the Department of Neurology (J.M.G., S.L.H., J.D., A.J.G.), Division of Pulmonary and Critical Care, Department of Medicine (L.L.K.), and Department of Ophthalmology (A.J.G.), University of California San Francisco; Department of Neurology (M.J.B., N.V., S.S., H.M., F.B., S.P.), Vanderbilt University Medical Center, Nashville, TN; Department of Neurology (B.J.S., J.A.K., D.J.A.), University of Maryland Medical Center, Baltimore; Departments of Neurology and Medicine (D.B.C., T.H.Y.), Washington University in St. Louis, MO; Department of Neurology (Y.W., M.J.H.), University of Kansas Medical Center, Kansas City; and Department of Neurology (T.A.C., N.V.), Massachusetts General Hospital, Boston
| | - Nagagopal Venna
- From the Department of Neurology (J.M.G., S.L.H., J.D., A.J.G.), Division of Pulmonary and Critical Care, Department of Medicine (L.L.K.), and Department of Ophthalmology (A.J.G.), University of California San Francisco; Department of Neurology (M.J.B., N.V., S.S., H.M., F.B., S.P.), Vanderbilt University Medical Center, Nashville, TN; Department of Neurology (B.J.S., J.A.K., D.J.A.), University of Maryland Medical Center, Baltimore; Departments of Neurology and Medicine (D.B.C., T.H.Y.), Washington University in St. Louis, MO; Department of Neurology (Y.W., M.J.H.), University of Kansas Medical Center, Kansas City; and Department of Neurology (T.A.C., N.V.), Massachusetts General Hospital, Boston
| | - Ari J Green
- From the Department of Neurology (J.M.G., S.L.H., J.D., A.J.G.), Division of Pulmonary and Critical Care, Department of Medicine (L.L.K.), and Department of Ophthalmology (A.J.G.), University of California San Francisco; Department of Neurology (M.J.B., N.V., S.S., H.M., F.B., S.P.), Vanderbilt University Medical Center, Nashville, TN; Department of Neurology (B.J.S., J.A.K., D.J.A.), University of Maryland Medical Center, Baltimore; Departments of Neurology and Medicine (D.B.C., T.H.Y.), Washington University in St. Louis, MO; Department of Neurology (Y.W., M.J.H.), University of Kansas Medical Center, Kansas City; and Department of Neurology (T.A.C., N.V.), Massachusetts General Hospital, Boston
| | - Siddharama Pawate
- From the Department of Neurology (J.M.G., S.L.H., J.D., A.J.G.), Division of Pulmonary and Critical Care, Department of Medicine (L.L.K.), and Department of Ophthalmology (A.J.G.), University of California San Francisco; Department of Neurology (M.J.B., N.V., S.S., H.M., F.B., S.P.), Vanderbilt University Medical Center, Nashville, TN; Department of Neurology (B.J.S., J.A.K., D.J.A.), University of Maryland Medical Center, Baltimore; Departments of Neurology and Medicine (D.B.C., T.H.Y.), Washington University in St. Louis, MO; Department of Neurology (Y.W., M.J.H.), University of Kansas Medical Center, Kansas City; and Department of Neurology (T.A.C., N.V.), Massachusetts General Hospital, Boston.
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Harrigan RL, Smith AK, Lyttle B, Box B, Landman BA, Bagnato F, Pawate S, Smith SA. Quantitative characterization of optic nerve atrophy in patients with multiple sclerosis. Mult Scler J Exp Transl Clin 2017; 3:2055217317730097. [PMID: 28932410 PMCID: PMC5600307 DOI: 10.1177/2055217317730097] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2017] [Accepted: 08/01/2017] [Indexed: 11/20/2022] Open
Abstract
Background Optic neuritis (ON) is one of the most common presentations of multiple sclerosis (MS). Magnetic resonance imaging (MRI) of the optic nerves is challenging because of retrobulbar motion, orbital fat and susceptibility artifacts from maxillary sinuses; therefore, axonal loss is investigated with the surrogate measure of a single heuristically defined point along the nerve as opposed to volumetric investigation. Objective The objective of this paper is to derive optic nerve volumetrics along the entire nerve length in patients with MS and healthy controls in vivo using high-resolution, clinically viable MRI. Methods An advanced, isotropic T2-weighted turbo spin echo MRI was applied to 29 MS patients with (14 patients ON+) or without (15 patients ON–) history of ON and 42 healthy volunteers. An automated tool was used to estimate and compare whole optic nerve and surrounding cerebrospinal fluid radii along the length of the nerve. Results and conclusion Only ON+ MS patients had a significantly reduced optic nerve radius compared to healthy controls in the central segment of the optic nerve. Using clinically available MRI methods, we show and quantify ON volume loss for the first time in MS patients.
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Affiliation(s)
| | - Alex K Smith
- Vanderbilt University Institute for Imaging Science, Vanderbilt University, USA
| | - Bailey Lyttle
- Vanderbilt University Institute for Imaging Science, Vanderbilt University, USA
| | - Bailey Box
- Vanderbilt University Institute for Imaging Science, Vanderbilt University, USA
| | | | | | | | - Seth A Smith
- Vanderbilt University Institute for Imaging Science, Vanderbilt University, USA
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Smith AK, By S, Lyttle BD, Dortch RD, Box BA, Mckeithan LJ, Thukral S, Bagnato F, Pawate S, Smith SA. Evaluating single-point quantitative magnetization transfer in the cervical spinal cord: Application to multiple sclerosis. Neuroimage Clin 2017; 16:58-65. [PMID: 28761809 PMCID: PMC5521031 DOI: 10.1016/j.nicl.2017.07.010] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2017] [Revised: 07/03/2017] [Accepted: 07/12/2017] [Indexed: 11/19/2022]
Abstract
Spinal cord (SC) damage is linked to clinical deficits in patients with multiple sclerosis (MS), however, conventional MRI methods are not specific to the underlying macromolecular tissue changes that may precede overt lesion detection. Single-point quantitative magnetization transfer (qMT) is a method that can provide high-resolution indices sensitive to underlying macromolecular composition in a clinically feasible scan time by reducing the number of MT-weighted acquisitions and utilizing a two-pool model constrained by empirically determined constants. As the single-point qMT method relies on a priori constraints, it has not been employed extensively in patients, where these constraints may vary, and thus, the biases inherent in this model have not been evaluated in a patient cohort. We, therefore, addressed the potential biases in the single point qMT model by acquiring qMT measurements in the cervical SC in patient and control cohorts and evaluated the differences between the control and patient-derived qMT constraints (kmf, T2fR1f, and T2m) for the single point model. We determined that the macromolecular to free pool size ratio (PSR) differences between the control and patient-derived constraints are not significant (p > 0.149 in all cases). Additionally, the derived PSR for each cohort was compared, and we reported that the white matter PSR in healthy volunteers is significantly different from lesions (p < 0.005) and normal appearing white matter (p < 0.02) in all cases. The single point qMT method is thus a valuable method to quantitatively estimate white matter pathology in MS in a clinically feasible scan time.
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Affiliation(s)
- Alex K. Smith
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
- Vanderbilt University Institute of Imaging Sciences, Vanderbilt University, Nashville, TN, USA
- Functional MRI of the Brain Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Samantha By
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
- Vanderbilt University Institute of Imaging Sciences, Vanderbilt University, Nashville, TN, USA
| | - Bailey D. Lyttle
- Vanderbilt University Institute of Imaging Sciences, Vanderbilt University, Nashville, TN, USA
| | - Richard D. Dortch
- Vanderbilt University Institute of Imaging Sciences, Vanderbilt University, Nashville, TN, USA
- Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, USA
| | - Bailey A. Box
- Vanderbilt University Institute of Imaging Sciences, Vanderbilt University, Nashville, TN, USA
| | - Lydia J. Mckeithan
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
- Vanderbilt University Institute of Imaging Sciences, Vanderbilt University, Nashville, TN, USA
| | - Saakshi Thukral
- Vanderbilt University Institute of Imaging Sciences, Vanderbilt University, Nashville, TN, USA
- Merrol Hyde Magnet School, Hendersonville, TN, USA
| | - Francesca Bagnato
- Vanderbilt University Institute of Imaging Sciences, Vanderbilt University, Nashville, TN, USA
- Department of Neurology, Vanderbilt University, Nashville, TN, USA
| | - Siddharama Pawate
- Vanderbilt University Institute of Imaging Sciences, Vanderbilt University, Nashville, TN, USA
- Merrol Hyde Magnet School, Hendersonville, TN, USA
| | - Seth A. Smith
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
- Vanderbilt University Institute of Imaging Sciences, Vanderbilt University, Nashville, TN, USA
- Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, USA
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Bagnato F, Gore JC. Ultra-high-field (7.0 Tesla and above) MRI is now necessary to make the next step forward in understanding MS pathophysiology - YES. Mult Scler 2017; 23:372-373. [PMID: 28260420 DOI: 10.1177/1352458516667569] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Francesca Bagnato
- Neuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - John C Gore
- Vanderbilt Institute of Imaging Science and Department of Radiology, Vanderbilt University Medical Center, Nashville, TN, USA
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40
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Dal-Bianco A, Grabner G, Kronnerwetter C, Weber M, Höftberger R, Berger T, Auff E, Leutmezer F, Trattnig S, Lassmann H, Bagnato F, Hametner S. Slow expansion of multiple sclerosis iron rim lesions: pathology and 7 T magnetic resonance imaging. Acta Neuropathol 2017; 133:25-42. [PMID: 27796537 PMCID: PMC5209400 DOI: 10.1007/s00401-016-1636-z] [Citation(s) in RCA: 260] [Impact Index Per Article: 37.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2016] [Revised: 10/17/2016] [Accepted: 10/18/2016] [Indexed: 12/14/2022]
Abstract
In multiple sclerosis (MS), iron accumulates inside activated microglia/macrophages at edges of some chronic demyelinated lesions, forming rims. In susceptibility-based magnetic resonance imaging at 7 T, iron-laden microglia/macrophages induce a rim of decreased signal at lesion edges and have been associated with slowly expanding lesions. We aimed to determine (1) what lesion types and stages are associated with iron accumulation at their edges, (2) what cells at the lesion edges accumulate iron and what is their activation status, (3) how reliably can iron accumulation at the lesion edge be detected by 7 T magnetic resonance imaging (MRI), and (4) if lesions with rims enlarge over time in vivo, when compared to lesions without rims. Double-hemispheric brain sections of 28 MS cases were stained for iron, myelin, and microglia/macrophages. Prior to histology, 4 of these 28 cases were imaged at 7 T using post-mortem susceptibility-weighted imaging. In vivo, seven MS patients underwent annual neurological examinations and 7 T MRI for 3.5 years, using a fluid attenuated inversion recovery/susceptibility-weighted imaging fusion sequence. Pathologically, we found iron rims around slowly expanding and some inactive lesions but hardly around remyelinated shadow plaques. Iron in rims was mainly present in microglia/macrophages with a pro-inflammatory activation status, but only very rarely in astrocytes. Histological validation of post-mortem susceptibility-weighted imaging revealed a quantitative threshold of iron-laden microglia when a rim was visible. Slowly expanding lesions significantly exceeded this threshold, when compared with inactive lesions (p = 0.003). We show for the first time that rim lesions significantly expanded in vivo after 3.5 years, compared to lesions without rims (p = 0.003). Thus, slow expansion of MS lesions with rims, which reflects chronic lesion activity, may, in the future, become an MRI marker for disease activity in MS.
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Abstract
BACKGROUND Migraine is a chronic debilitating disorder. Selected antiepileptic drugs (AEDs) are proposed as preventives for migraine. Clinical efficacy and side effects of these AEDs are discussed. SUMMARY OF REVIEW The American Academy of Neurology and the American Society of Headache classify topiramate (TPM) and divalproex sodium (DVPX) as Level-A medications and recommend offering them to patients for migraine prophylaxis. Their mechanism(s) of actions remains not entirely known. Their recognized action as sodium channel blockers may affect the neural component of migraine pain. TPM or DVPX can be considered an obvious choice for those patients with a concomitant seizure disorder. Care must be taken to plan their treatment with their psychiatrist if a mood disorder is present. DVPX tends not to be prescribed as first/second choice due to its potential for weight gain and hepatotoxicity. TPM is generally first choice, but bears severe contraindications. Both medications require education on teratogenesis in childbearing women. Consideration of gabapentin, acetazolamide, leviteracetam, zonisamide, and carbamazipine may be given later as empiric options and in selected patients. Patients must be made aware that there is insufficient scientific support for their use in migraine. CONCLUSIONS Available AEDs to prophylactically treat migraine are few but of robust clinical efficacy. Special care needs to be exerted with respect to their side effects. Future research is needed for a better understanding of their mechanisms of action in migraine. Such research has the potential of providing some insight into the pathophysiology of migraine.
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Affiliation(s)
| | - Janine Good
- Department of Neurology, University of Vanderbilt, Nashville, TN, USA
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Haider L, Zrzavy T, Hametner S, Höftberger R, Bagnato F, Grabner G, Trattnig S, Pfeifenbring S, Brück W, Lassmann H. The topograpy of demyelination and neurodegeneration in the multiple sclerosis brain. Brain 2016; 139:807-15. [PMID: 26912645 PMCID: PMC4766379 DOI: 10.1093/brain/awv398] [Citation(s) in RCA: 260] [Impact Index Per Article: 32.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2015] [Accepted: 11/18/2015] [Indexed: 01/17/2023] Open
Abstract
Multiple sclerosis is a chronic inflammatory disease with primary demyelination and neurodegeneration in the central nervous system. In our study we analysed demyelination and neurodegeneration in a large series of multiple sclerosis brains and provide a map that displays the frequency of different brain areas to be affected by these processes. Demyelination in the cerebral cortex was related to inflammatory infiltrates in the meninges, which was pronounced in invaginations of the brain surface (sulci) and possibly promoted by low flow of the cerebrospinal fluid in these areas. Focal demyelinated lesions in the white matter occurred at sites with high venous density and additionally accumulated in watershed areas of low arterial blood supply. Two different patterns of neurodegeneration in the cortex were identified: oxidative injury of cortical neurons and retrograde neurodegeneration due to axonal injury in the white matter. While oxidative injury was related to the inflammatory process in the meninges and pronounced in actively demyelinating cortical lesions, retrograde degeneration was mainly related to demyelinated lesions and axonal loss in the white matter. Our data show that accumulation of lesions and neurodegeneration in the multiple sclerosis brain does not affect all brain regions equally and provides the pathological basis for the selection of brain areas for monitoring regional injury and atrophy development in future magnetic resonance imaging studies.
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Affiliation(s)
- Lukas Haider
- 1 Centre for Brain Research, Medical University of Vienna, Austria 2 Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria
| | - Tobias Zrzavy
- 1 Centre for Brain Research, Medical University of Vienna, Austria
| | - Simon Hametner
- 1 Centre for Brain Research, Medical University of Vienna, Austria
| | | | - Francesca Bagnato
- 4 Department of Neurology, Multiple Sclerosis Center, University of Vanderbilt, Nashville, TN, USA
| | - Günther Grabner
- 5 High Field MR Centre, Medical University of Vienna, Austria
| | | | - Sabine Pfeifenbring
- 6 Department of Neuropathology, University Medical Centre Göttingen, Germany
| | - Wolfgang Brück
- 6 Department of Neuropathology, University Medical Centre Göttingen, Germany
| | - Hans Lassmann
- 1 Centre for Brain Research, Medical University of Vienna, Austria
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Gulati A, Bagnato F, Villoslada P, Velez de Mendizabal N. A Population Approach to Characterize Interferon Beta-1b Effect on Contrast Enhancing Lesions in Patients With Relapsing Remitting Multiple Sclerosis. CPT Pharmacometrics Syst Pharmacol 2015. [PMID: 26225255 PMCID: PMC4452935 DOI: 10.1002/psp4.36] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
In patients with relapsing-remitting multiple sclerosis (RRMS), interferon beta-1b (IFNβ-1b) reduces the occurrence of contrast enhancing lesions (CELs) on magnetic resonance imaging (MRI). Questions remain on the stability of IFNβ-1b effect over time and its action beyond the reduction of CELs. In this study, we described the IFNβ-1b effect by a mixed effects model, quantifying the interpatient variability associated with its parameters. Using a negative binomial distribution model as a natural history model, the effect of IFNβ-1b was evaluated using different mathematical functions of time. IFNβ-1b produced a decrease in the expected CEL numbers, inhibiting the formation of new CELs but did not promote the resolution of the already-formed ones. Based on the final selected model, simulations were carried out to optimize the combined IFNβ-1b-corticosteroid therapy as a proof-of-concept. In summary, we provide evidence on the dynamics of CELs under IFNβ-1b treatment that can be used to monitor the effects of therapies in MS.
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Affiliation(s)
- A Gulati
- Indiana University School of Medicine Indianapolis, Indiana, USA ; Indiana Clinical and Translational Sciences Institute (CTSI) Indianapolis, Indiana, USA
| | - F Bagnato
- Neuroimmunology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health Bethesda, Maryland, USA
| | - P Villoslada
- Center for Neuroimmunology, Institute of Biomedical Research August Pi Sunyer (IDIBAPS), Hospital Clinic of Barcelona Barcelona, Spain
| | - N Velez de Mendizabal
- Indiana University School of Medicine Indianapolis, Indiana, USA ; Indiana Clinical and Translational Sciences Institute (CTSI) Indianapolis, Indiana, USA
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45
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Bagnato F, Hametner S, Pennell D, Dortch R, Dula AN, Pawate S, Smith SA, Lassmann H, Gore JC, Welch EB. 7T MRI-Histologic Correlation Study of Low Specific Absorption Rate T2-Weighted GRASE Sequences in the Detection of White Matter Involvement in Multiple Sclerosis. J Neuroimaging 2015; 25:370-8. [PMID: 25898858 DOI: 10.1111/jon.12238] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2014] [Accepted: 02/12/2015] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND The high value of the specific absorption rate (SAR) of radio-frequency (RF) energy arising from the series of RF refocusing pulses in T2-weighted (T2-w) turbo spin echo (TSE) MRI hampers its clinical application at 7.0 Tesla (7T). T2-w gradient and spin echo (GRASE) uses the speed from gradient refocusing in combination with the chemical-shift/static magnetic field (B0) inhomogeneity insensitivity from spin-echo refocusing to acquire T2-w images with a limited number of refocusing RF pulses, thus reducing SAR. OBJECTIVES To investigate whether low SAR T2-w GRASE could replace T2-w TSE in detecting white matter (WM) disease in MS patients imaged at 7T. METHODS The .7 mm3 isotropic T2-w TSE and T2-w GRASE images with variable echo times (TEs) and echo planar imaging (EPI) factors were obtained on a 7T scanner from postmortem samples of MS brains. These samples were derived from brains of 3 female MS patients. WM lesions (WM-Ls) and normal-appearing WM (NAWM) signal intensity, WM-Ls/NAWM contrast-to-noise ratio (CNR) and MRI/myelin staining sections comparisons were obtained. RESULTS GRASE sequences with EPI factor/TE = 3/50 and 3/75 ms were comparable to the SE technique for measures of CNR in WM-Ls and NAWM and for detection of WM-Ls. In all sequences, however, identification of areas with remyelination, Wallerian degeneration, and gray matter demyelination, as depicted by myelin staining, was not possible. CONCLUSIONS T2-w GRASE images may replace T2-w TSE for clinical use. However, even at 7T, both sequences fail in detecting and characterizing MS disease beyond visible WM-Ls.
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Affiliation(s)
- Francesca Bagnato
- Vanderbilt University Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN
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46
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Yao B, Ikonomidou VN, Cantor FK, Ohayon JM, Duyn J, Bagnato F. Heterogeneity of Multiple Sclerosis White Matter Lesions Detected With T2*-Weighted Imaging at 7.0 Tesla. J Neuroimaging 2015; 25:799-806. [PMID: 25657078 DOI: 10.1111/jon.12193] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2014] [Revised: 07/15/2014] [Accepted: 08/16/2014] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND AND PURPOSE Postmortem studies in multiple sclerosis (MS) indicate that in some white matter lesions (WM-Ls), iron is detectable with T2*-weighted (T2*-w), and its reciprocal R2* relaxation rate, magnetic resonance imaging (MRI) at 7.0 Tesla (7T). This iron appears as a hyperintense rim in R2* images surrounding a hypointense core. We describe how this observation relates to clinical/radiological characteristics of patients, in vivo. METHODS We imaged 16 MS patients using 3T and 7T scanners. WM-Ls were identified on T1-w / T2-w 3T-MRIs. Thereafter, WM-Ls with a rim of elevated R2* at 7T were counted and compared to their appearance on conventional MRIs. RESULTS We counted 36 WM-Ls presenting a rim of elevated R2* in 10 patients. Twenty-three (64%) lesions coincided with focal WM-Ls on T2-w MRIs; 13 (36%) coincided with only portions of larger lesions on T2-w images; and 20 (56%) corresponded to a hypointense chronic black hole. WM-Ls presenting a rim of elevated R2* were seen in both relapsing-remitting patients with low disability and in those with long-standing secondary progressive MS. CONCLUSIONS WM-Ls with a contour of high R2* are present at different MS stages, potentially representing differences in the contribution of iron in MS disease evolution.
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Affiliation(s)
- Bing Yao
- Advanced Magnetic Resonance Imaging Section Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD.,Neuroimaging Center, Kessler Foundation, West Orange, NJ
| | - Vasiliki N Ikonomidou
- Neuroimmunology Branch, NINDS, NIH, Bethesda, MD.,Department of Bioengineering, Volgenau School of Engineering, George Mason University, Fairfax, VA
| | | | | | - Jeff Duyn
- Advanced Magnetic Resonance Imaging Section Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD
| | - Francesca Bagnato
- Neuroimmunology Branch, NINDS, NIH, Bethesda, MD.,Neurology Department, University of Maryland, Baltimore, MD
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Tovar-Moll F, Evangelou IE, Chiu AW, Auh S, Chen C, Ehrmantraut M, Ohayon JM, Richert N, Bagnato F. Diffuse and focal corticospinal tract disease and its impact on patient disability in multiple sclerosis. J Neuroimaging 2014; 25:200-206. [PMID: 25318661 DOI: 10.1111/jon.12171] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2014] [Revised: 06/15/2014] [Accepted: 07/13/2014] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND AND PURPOSE We investigated the impact of focal and diffuse corticospinal tracts damage on sensory-motor disability in multiple sclerosis (MS) patients. METHODS Twenty-five MS patients underwent 3.0 Tesla (3T) magnetic resonance imaging with diffusion tensor imaging (DTI). The Expanded Disability Status Scale (EDSS) and the Timed 25-Foot Walk test (T25FW) quantified patient physical disability. Fractional anisotropy (FA) and mean diffusivity (MD) of the corticospinal tracts, whole brain and corticospinal tracts lesion volume were also computed. Spearman rank correlation analyses measured the associations between DTI-derived metrics and other measures of disease. Partial correlation analyses between DTI and disability measures were performed and corrected for lesion volumes as appropriate. RESULTS Significant associations were seen between FA of the corticospinal tracts and EDSS (r = -.500, P = .0011), motor-EDSS (r = -.519, P = .008), and T25WF (r = -.637, P = .001) scores and MD of the corticospinal tracts and motor-EDSS (r = .469, P = .018) and T25WF (r = .428, P = .033) scores. When correcting for lesion volumes, only the association between FA of the corticospinal tracts and EDSS (r ≤ -.516, p ≤ .01) or motor-EDSS score (r ≤ -.516, p ≤ .01) persisted. CONCLUSIONS DTI at 3T shows that the impact of diffuse corticospinal tracts disease on sensory-motor disability is greatly mediated by focal lesions in MS.
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Affiliation(s)
- Fernanda Tovar-Moll
- Neuroimmunology Branch, National Institute of Neurological Disorders and Stroke (NINDS), National Institute of Health (NIH), Bethesda, MD.,D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil.,Institute of Biomedical Sciences and National Center of Structural Biology and Bioimaging (CENABIO), Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Iordanis E Evangelou
- Neuroimmunology Branch, National Institute of Neurological Disorders and Stroke (NINDS), National Institute of Health (NIH), Bethesda, MD
| | - Annie W Chiu
- Neuroimmunology Branch, National Institute of Neurological Disorders and Stroke (NINDS), National Institute of Health (NIH), Bethesda, MD
| | - Sungyoung Auh
- Office of the Clinical Director, NINDS, NIH, Bethesda, MD
| | - Christina Chen
- Neuroimmunology Branch, National Institute of Neurological Disorders and Stroke (NINDS), National Institute of Health (NIH), Bethesda, MD
| | - Mary Ehrmantraut
- Neuroimmunology Branch, National Institute of Neurological Disorders and Stroke (NINDS), National Institute of Health (NIH), Bethesda, MD
| | - Joan M Ohayon
- Neuroimmunology Branch, National Institute of Neurological Disorders and Stroke (NINDS), National Institute of Health (NIH), Bethesda, MD
| | - Nancy Richert
- Neuroimmunology Branch, National Institute of Neurological Disorders and Stroke (NINDS), National Institute of Health (NIH), Bethesda, MD
| | - Francesca Bagnato
- Neuroimmunology Branch, National Institute of Neurological Disorders and Stroke (NINDS), National Institute of Health (NIH), Bethesda, MD
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48
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Yao B, Hametner S, van Gelderen P, Merkle H, Chen C, Lassmann H, Duyn JH, Bagnato F. 7 Tesla magnetic resonance imaging to detect cortical pathology in multiple sclerosis. PLoS One 2014; 9:e108863. [PMID: 25303286 PMCID: PMC4193749 DOI: 10.1371/journal.pone.0108863] [Citation(s) in RCA: 57] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2014] [Accepted: 08/27/2014] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Neocortical lesions (NLs) are an important pathological component of multiple sclerosis (MS), but their visualization by magnetic resonance imaging (MRI) remains challenging. OBJECTIVES We aimed at assessing the sensitivity of multi echo gradient echo (ME-GRE) T2*-weighted MRI at 7.0 Tesla in depicting NLs compared to myelin and iron staining. METHODS Samples from two MS patients were imaged post mortem using a whole body 7 T MRI scanner with a 24-channel receive-only array. Isotropic 200 micron resolution images with varying T2* weighting were reconstructed from the ME-GRE data and converted into R2* maps. Immunohistochemical staining for myelin (proteolipid protein, PLP) and diaminobenzidine-enhanced Turnbull blue staining for iron were performed. RESULTS Prospective and retrospective sensitivities of MRI for the detection of NLs were 48% and 67% respectively. We observed MRI maps detecting only a small portion of 20 subpial NLs extending over large cortical areas on PLP stainings. No MRI signal changes suggestive of iron accumulation in NLs were observed. Conversely, R2* maps indicated iron loss in NLs, which was confirmed by histological quantification. CONCLUSIONS High-resolution post mortem imaging using R2* and magnitude maps permits detection of focal NLs. However, disclosing extensive subpial demyelination with MRI remains challenging.
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Affiliation(s)
- Bing Yao
- Advanced Magnetic Resonance Imaging Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, Maryland, United States of America
- Center for Neuroimaging Research, Kessler Foundation, West Orange, New Jersey, United States of America
| | - Simon Hametner
- Center for Brain Research, Medical University, Vienna, Austria
| | - Peter van Gelderen
- Advanced Magnetic Resonance Imaging Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, Maryland, United States of America
| | - Hellmuth Merkle
- Advanced Magnetic Resonance Imaging Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, Maryland, United States of America
| | - Christina Chen
- Neuroimmunology Branch, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, Maryland, United States of America
| | - Hans Lassmann
- Center for Brain Research, Medical University, Vienna, Austria
| | - Jeff H. Duyn
- Advanced Magnetic Resonance Imaging Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, Maryland, United States of America
| | - Francesca Bagnato
- Neuroimmunology Branch, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, Maryland, United States of America
- Department of Radiology and Radiological Science, Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee, United States of America
- * E-mail:
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49
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Ikonomidou VN, Richert ND, Vortmeyer A, Tovar-Moll F, Bielekova B, Cook NE, Duyn JH, Bagnato F. Evolution of tumefactive lesions in multiple sclerosis: a 12-year study with serial imaging in a single patient. Mult Scler 2014; 19:1539-43. [PMID: 24062416 DOI: 10.1177/1352458513498124] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
We describe the acute presentation and the long-term evolution of recurrent tumefactive lesions (TLs) in a patient with relapsing-remitting multiple sclerosis. Five TLs occurred on three different occasions over a period of 12 years and these were followed by 73 serial magnetic resonance images (MRI). TL evolution was described by means of magnetization transfer imaging (MTI) and cerebrospinal fluid tissue specific imaging (TSI) over the follow-up period. During the study period, the patient had three clinical relapses with only minimal disability progression. MTI demonstrated that only the peripheral portion of each TL reverted to pre-lesional MT ratios within six months' post-enhancement. Recurring TLs may present a similar pattern of evolution that may be associated with a long-term favourable clinical outcome.
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Affiliation(s)
- Vasiliki N Ikonomidou
- Department of Bioengineering, Volgenau School of Engineering, George Mason University, USA
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50
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Bagnato F, Ohayon JM, Ehrmantraut M, Chiu AW, Riva M, Ikonomidou VN. Clinical and imaging metrics for monitoring disease progression in patients with multiple sclerosis. Expert Rev Neurother 2014; 6:599-612. [PMID: 16623658 DOI: 10.1586/14737175.6.4.599] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Multiple sclerosis (MS) is an autoimmune disease of the CNS leading to clinical disability in 250,000-350,000 young adults in the USA and Europe. The disease affects both white matter (WM) and gray matter (GM) tissues of the brain and spinal cord. While WM disease is easily quantified using currently available magnetic resonance imaging (MRI) techniques, identification and quantification of GM disease present a daily challenge. Nonconventional brain and spinal cord MRI techniques, including magnetization transfer, MRI spectroscopy and diffusion tensor imaging, have improved our understanding of MS pathology in the deep GM. The sensitivity of high-resolution MRI obtained at a high magnetic field will improve the detection of spinal cord and brain cortical GM disease. The appropriate use of the above-mentioned techniques has the potential to more accurately explain the level of disability in MS patients.
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Affiliation(s)
- Francesca Bagnato
- Neuroimmunology Branch, NIND-NIH, 10 Center Drive, Building 10, Room 5B16, Bethesda, MD 20892-1400, USA.
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