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Tzanetakos D, Tzartos JS, Velonakis G, Giannopoulos S, Tsivgoulis G. Neuromyelitis optica spectrum disorder-associated myelitis mimicking intramedullary neoplasm as a diagnostic pitfall: a case report. Neurol Sci 2024; 45:5539-5541. [PMID: 38985372 DOI: 10.1007/s10072-024-07684-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Accepted: 07/04/2024] [Indexed: 07/11/2024]
Affiliation(s)
- Dimitrios Tzanetakos
- Second Department of Neurology, "Attikon" University Hospital, National and Kapodistrian University of Athens, Athens, Greece.
| | - John S Tzartos
- Second Department of Neurology, "Attikon" University Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Georgios Velonakis
- Research Unit of Radiology, Second Department of Radiology, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Sotirios Giannopoulos
- Second Department of Neurology, "Attikon" University Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Georgios Tsivgoulis
- Second Department of Neurology, "Attikon" University Hospital, National and Kapodistrian University of Athens, Athens, Greece
- Department of Neurology, University of Tennessee Health Science Center, Memphis, TN, USA
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2
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Luo W, Bu W, Shao R, Cheng S, Liu J, Sun Y, Li X, Ren H. Neuroimaging feature in identifying acute myelopathy etiologies: comparison between neuromyelitis optica spectrum disorder and cervical spondylotic myelopathy. BMC Neurol 2024; 24:369. [PMID: 39358749 PMCID: PMC11445943 DOI: 10.1186/s12883-024-03884-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Accepted: 09/25/2024] [Indexed: 10/04/2024] Open
Abstract
OBJECTIVE The clinical symptoms of neuromyelitis optica spectrum disorder (NMOSD) and acute cervical spondylotic myelopathy (CSM) may overlap in some cases. This study aimed to investigate the differences in imaging features between NMOSD and CSM in acute myelopathy. METHODS We included 78 patients in this retrospective study, including 28 NMOSD patients and 50 CSM patients. The demographic characteristics and clinical symptoms of the two groups of patients were compared. The T1 signal intensity, length of the spinal cord involved by T2 hyperintensity, degree of intervertebral disc degeneration, proportion of thoracic and lumbar cord involvement, proportion of brain involvement and lesion enhancement rate in magnetic resonance imaging (MRI) were compared between the two groups of patients. The number, length, location on the sagittal image, pattern on the sagittal image, and distribution on the axial image of the lesions in the contrast-enhanced MRI of the two groups were evaluated. RESULTS There were differences between NMOSD and CSM patients in the proportion of women, the proportion of bowel and bladder symptoms, mRS levels, the length of the spinal cord involved by T2 hyperintensity, degree of intervertebral disc degeneration, the proportion of thoracic and lumbar cord involvement, the proportion of brain involvement, the enhancement rate and number of lesions (p < 0.05). Among NMOSD patients, linear, patchy and ring or semi-ring enhancement were present in 8(30.8%) ,14 (53.8%) and 4(15.4%)patients, respectively, and axial gray and white matter were involved in 17 (65.4%) patients. Among patients with CSM, 9(36.0%) patients showed longitudinal oriented flake, 16 (64.0%) patients showed pancake-like enhancement, and 21 (84.0%) patients showed axial white matter involvement only. The differences in enhancement pattern on sagittal images and axial involvement were statistically significant (p < 0.05). CONCLUSIONS Early differential diagnosis of NMOSD and CSM in acute myelopathy can be made by analyzing images and the number, length, sagittal enhancement pattern, and axial involvement of gadolinium-enhanced lesions.
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Affiliation(s)
- Weigang Luo
- Department of neurology, the Third Hospital of Hebei Medical University, Shijiazhuang, China
| | - Wei Bu
- Neurosurgery, the Third Hospital of Hebei Medical University, Shijiazhuang, China
| | - Ruochen Shao
- Department of neurology, the Third Hospital of Hebei Medical University, Shijiazhuang, China
| | | | - Jiran Liu
- Hebei Medical University, Shijiazhuang, China
| | - Yating Sun
- Department of neurology, the Third Hospital of Hebei Medical University, Shijiazhuang, China
| | - Xiaohui Li
- Department of neurology, the Third Hospital of Hebei Medical University, Shijiazhuang, China
| | - Huiling Ren
- Department of neurology, the Third Hospital of Hebei Medical University, Shijiazhuang, China.
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3
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Sechi E. NMOSD and MOGAD. Continuum (Minneap Minn) 2024; 30:1052-1087. [PMID: 39088288 DOI: 10.1212/con.0000000000001454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/03/2024]
Abstract
OBJECTIVE This article reviews the clinical features, MRI characteristics, diagnosis, and treatment of aquaporin-4 antibody-positive neuromyelitis optica spectrum disorder (AQP4-NMOSD) and myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD). The main differences between these disorders and multiple sclerosis (MS), the most common demyelinating disease of the central nervous system (CNS), are also highlighted. LATEST DEVELOPMENTS The past 20 years have seen important advances in understanding rare demyelinating CNS disorders associated with AQP4 IgG and myelin oligodendrocyte glycoprotein (MOG) IgG. The rapidly expanding repertoire of immunosuppressive agents approved for the treatment of AQP4-NMOSD and emerging as potentially beneficial in MOGAD mandates prompt recognition of these diseases. Most of the recent literature has focused on the identification of clinical and MRI features that help distinguish these diseases from each other and MS, simultaneously highlighting major diagnostic pitfalls that may lead to misdiagnosis. An awareness of the limitations of currently available assays for AQP4 IgG and MOG IgG detection is fundamental for identifying rare false antibody positivity and avoiding inappropriate treatments. For this purpose, diagnostic criteria have been created to help the clinician interpret antibody testing results and recognize the clinical and MRI phenotypes associated with AQP4-NMOSD and MOGAD. ESSENTIAL POINTS An awareness of the specific clinical and MRI features associated with AQP4-NMOSD and MOGAD and the limitations of currently available antibody testing assays is crucial for a correct diagnosis and differentiation from MS. The growing availability of effective treatment options will lead to personalized therapies and improved outcomes.
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Jasperse B. Spinal Cord Imaging in Multiple Sclerosis and Related Disorders. Neuroimaging Clin N Am 2024; 34:385-398. [PMID: 38942523 DOI: 10.1016/j.nic.2024.03.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/30/2024]
Abstract
Spinal cord MRI plays an important role in the diagnosis and prognosis of multiple sclerosis (MS) and related disorders. The ANATOMICAL, pathologic, imaging and prognostic consideriations for the spinal cord for MS and the most important other demyelinating disorders, neuromyelitis optica spectrum disorder and myelin oligodendrocyte glycoprotein-associated disease, are reviewed. Finally, differential diagnostic considerations of spinal cord MRI in MS and related disorders are discussed.
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Affiliation(s)
- Bas Jasperse
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, de Boelelaan 1118, Amsterdam 1081HZ, the Netherlands.
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Weidauer S, Hattingen E, Arendt CT. Cervical myelitis: a practical approach to its differential diagnosis on MR imaging. ROFO-FORTSCHR RONTG 2023; 195:1081-1096. [PMID: 37479218 DOI: 10.1055/a-2114-1350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/23/2023]
Abstract
BACKGROUND Differential diagnosis of non-compressive cervical myelopathy encompasses a broad spectrum of inflammatory, infectious, vascular, neoplastic, neurodegenerative, and metabolic etiologies. Although the speed of symptom onset and clinical course seem to be specific for certain neurological diseases, lesion pattern on MR imaging is a key player to confirm diagnostic considerations. METHODS The differentiation between acute complete transverse myelitis and acute partial transverse myelitis makes it possible to distinguish between certain entities, with the latter often being the onset of multiple sclerosis. Typical medullary MRI lesion patterns include a) longitudinal extensive transverse myelitis, b) short-range ovoid and peripheral lesions, c) polio-like appearance with involvement of the anterior horns, and d) granulomatous nodular enhancement prototypes. RESULTS AND CONCLUSION Cerebrospinal fluid analysis, blood culture tests, and autoimmune antibody testing are crucial for the correct interpretation of imaging findings. The combination of neuroradiological features and neurological and laboratory findings including cerebrospinal fluid analysis improves diagnostic accuracy. KEY POINTS · The differentiation of medullary lesion patterns, i. e., longitudinal extensive transverse, short ovoid and peripheral, polio-like, and granulomatous nodular, facilitates the diagnosis of myelitis.. · Discrimination of acute complete and acute partial transverse myelitis makes it possible to categorize different entities, with the latter frequently being the overture of multiple sclerosis (MS).. · Neuromyelitis optica spectrum disorders (NMOSD) may start as short transverse myelitis and should not be mistaken for MS.. · The combination of imaging features and neurological and laboratory findings including cerebrospinal fluid analysis improves diagnostic accuracy.. · Additional brain imaging is mandatory in suspected demyelinating, systemic autoimmune, infectious, paraneoplastic, and metabolic diseases..
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Affiliation(s)
- Stefan Weidauer
- Institute for Neuroradiology, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Elke Hattingen
- Institute for Neuroradiology, Goethe University Frankfurt, Frankfurt am Main, Germany
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Zara P, Dinoto A, Carta S, Floris V, Turilli D, Budhram A, Ferrari S, Milia S, Solla P, Mariotto S, Flanagan EP, Chiriboga ASL, Sechi E. Non-demyelinating disorders mimicking and misdiagnosed as NMOSD: a literature review. Eur J Neurol 2023; 30:3367-3376. [PMID: 37433584 PMCID: PMC10530555 DOI: 10.1111/ene.15983] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 06/30/2023] [Accepted: 07/06/2023] [Indexed: 07/13/2023]
Abstract
BACKGROUND Differentiating neuromyelitis optica spectrum disorder (NMOSD) from its mimics is crucial to avoid misdiagnosis, especially in the absence of aquaporin-4-IgG. While multiple sclerosis (MS) and myelin oligodendrocyte glycoprotein-IgG associated disease (MOGAD) represent major and well-defined differential diagnoses, non-demyelinating NMOSD mimics remain poorly characterized. METHODS We conducted a systematic review on PubMed/MEDLINE to identify reports of patients with non-demyelinating disorders that mimicked or were misdiagnosed as NMOSD. Three novel cases seen at the authors' institutions were also included. The characteristics of NMOSD mimics were analyzed and red flags associated with misdiagnosis identified. RESULTS A total of 68 patients were included; 35 (52%) were female. Median age at symptoms onset was 44 (range, 1-78) years. Fifty-six (82%) patients did not fulfil the 2015 NMOSD diagnostic criteria. The clinical syndromes misinterpreted for NMOSD were myelopathy (41%), myelopathy + optic neuropathy (41%), optic neuropathy (6%), or other (12%). Alternative etiologies included genetic/metabolic disorders, neoplasms, infections, vascular disorders, spondylosis, and other immune-mediated disorders. Common red flags associated with misdiagnosis were lack of cerebrospinal fluid (CSF) pleocytosis (57%), lack of response to immunotherapy (55%), progressive disease course (54%), and lack of magnetic resonance imaging gadolinium enhancement (31%). Aquaporin-4-IgG positivity was detected in five patients by enzyme-linked immunosorbent assay (n = 2), cell-based assay (n = 2: serum, 1; CSF, 1), and non-specified assay (n = 1). CONCLUSIONS The spectrum of NMOSD mimics is broad. Misdiagnosis frequently results from incorrect application of diagnostic criteria, in patients with multiple identifiable red flags. False aquaporin-4-IgG positivity, generally from nonspecific testing assays, may rarely contribute to misdiagnosis.
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Affiliation(s)
- Pietro Zara
- Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy
| | - Alessandro Dinoto
- Neurology Unit, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Italy
| | - Sara Carta
- Neurology Unit, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Italy
| | - Valentina Floris
- Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy
| | - Davide Turilli
- Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy
| | - Adrian Budhram
- Department of Clinical Neurological Sciences, Western University, London, Ontario, Canada
| | - Sergio Ferrari
- Neurology Unit, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Italy
| | - Stefania Milia
- Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy
| | - Paolo Solla
- Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy
| | - Sara Mariotto
- Neurology Unit, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Italy
| | - Eoin P. Flanagan
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | | | - Elia Sechi
- Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy
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7
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Su Y, Ruan Z, Li S, Li Z, Chang T. Emerging trends and research foci of neuromyelitis optica spectrum disorder: a 20-year bibliometric analysis. Front Immunol 2023; 14:1177127. [PMID: 37346048 PMCID: PMC10281505 DOI: 10.3389/fimmu.2023.1177127] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 05/19/2023] [Indexed: 06/23/2023] Open
Abstract
Background Neuromyelitis optica spectrum disorder (NMOSD) is a demyelinating syndrome of the central nervous system. A tremendous amount of literature on NMOSD has been published. This study aimed to perform a bibliometric analysis of the publications on NMOSD and show its hotspots and development trends. Methods We used the Web of Science Core Collection as a database and searched the literature published between 2002 and 2022. CiteSpace, VOSviewer, online bibliometric platform, and R-bibliometrix were used to conduct bibliometric analysis and network visualization, including the number of publications, citations, countries/regions, institutions, journals, authors, references, and keywords. Results A total of 3,057 publications on NMOSD were published in 198 journals by 200 authors at 200 institutions from 93 countries/regions. The United States published the most literature and made great contributions to this field. The Mayo Clinic was the institution with the largest number of publications. The journal with the most publications was Multiple Sclerosis and Related Disorders, and the most co-cited journal was Neurology. The author with the most publications was Fujihara, K., while the most frequently co-cited author was Wingerchuk, DM. The current research hotspots may be focused on "efficacy," "multicenter," "interleukin-6 receptor blockade," "safety," "azathioprine," "tolerance," and "adult". Conclusion This study was the first bibliometric analysis of publications on the NMOSD field, visualizing its bibliometric characteristics and gaining insight into the direction, hotspots, and development of global NMOSD research, which may provide helpful information for researchers. Future research hotspots might be conducting randomized controlled trials on targeted immunotherapy in the NMOSD field.
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Affiliation(s)
- Yue Su
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi’an, China
| | - Zhe Ruan
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi’an, China
| | - Shicao Li
- Department of Pharmacy, Tangdu Hospital, The Fourth Military Medical University, Xi’an, China
| | - Zhuyi Li
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi’an, China
| | - Ting Chang
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi’an, China
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Jarius S, Aktas O, Ayzenberg I, Bellmann-Strobl J, Berthele A, Giglhuber K, Häußler V, Havla J, Hellwig K, Hümmert MW, Kleiter I, Klotz L, Krumbholz M, Kümpfel T, Paul F, Ringelstein M, Ruprecht K, Senel M, Stellmann JP, Bergh FT, Tumani H, Wildemann B, Trebst C. Update on the diagnosis and treatment of neuromyelits optica spectrum disorders (NMOSD) - revised recommendations of the Neuromyelitis Optica Study Group (NEMOS). Part I: Diagnosis and differential diagnosis. J Neurol 2023:10.1007/s00415-023-11634-0. [PMID: 37022481 DOI: 10.1007/s00415-023-11634-0] [Citation(s) in RCA: 47] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 02/17/2023] [Accepted: 02/18/2023] [Indexed: 04/07/2023]
Abstract
The term 'neuromyelitis optica spectrum disorders' (NMOSD) is used as an umbrella term that refers to aquaporin-4 immunoglobulin G (AQP4-IgG)-positive neuromyelitis optica (NMO) and its formes frustes and to a number of closely related clinical syndromes without AQP4-IgG. NMOSD were originally considered subvariants of multiple sclerosis (MS) but are now widely recognized as disorders in their own right that are distinct from MS with regard to immunopathogenesis, clinical presentation, optimum treatment, and prognosis. In part 1 of this two-part article series, which ties in with our 2014 recommendations, the neuromyelitis optica study group (NEMOS) gives updated recommendations on the diagnosis and differential diagnosis of NMOSD. A key focus is on differentiating NMOSD from MS and from myelin oligodendrocyte glycoprotein antibody-associated encephalomyelitis (MOG-EM; also termed MOG antibody-associated disease, MOGAD), which shares significant similarity with NMOSD with regard to clinical and, partly, radiological presentation, but is a pathogenetically distinct disease. In part 2, we provide updated recommendations on the treatment of NMOSD, covering all newly approved drugs as well as established treatment options.
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Affiliation(s)
- Sven Jarius
- Molecular Neuroimmunology Group, Department of Neurology, University of Heidelberg, Heidelberg, Germany.
| | - Orhan Aktas
- Department of Neurology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Ilya Ayzenberg
- Department of Neurology, St. Josef Hospital, Ruhr University Bochum, Bochum, Germany
| | - Judith Bellmann-Strobl
- Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Experimental and Clinical Research Center, a Cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and Charité-Universitätsmedizin Berlin, Berlin, Germany
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
- NeuroCure Clinical Research Center, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, and Berlin Institute of Health, and Max Delbrück Center for Molecular Medicine, Berlin, Germany
| | - Achim Berthele
- Department of Neurology, School of Medicine, Technical University Munich, Klinikum rechts der Isar, Munich, Germany
| | - Katrin Giglhuber
- Department of Neurology, School of Medicine, Technical University Munich, Klinikum rechts der Isar, Munich, Germany
| | - Vivien Häußler
- Department of Neurology and Institute of Neuroimmunology and MS (INIMS), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Joachim Havla
- Institute of Clinical Neuroimmunology, LMU Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
- Data Integration for Future Medicine (DIFUTURE) Consortium, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Kerstin Hellwig
- Department of Neurology, St. Josef Hospital, Ruhr University Bochum, Bochum, Germany
| | - Martin W Hümmert
- Department of Neurology, Hannover Medical School, Hannover, Germany
| | - Ingo Kleiter
- Department of Neurology, St. Josef Hospital, Ruhr University Bochum, Bochum, Germany
- Marianne-Strauß-Klinik, Behandlungszentrum Kempfenhausen für Multiple Sklerose Kranke, Berg, Germany
| | - Luisa Klotz
- Department of Neurology with Institute of Translational Neurology, University of Münster, Münster, Germany
| | - Markus Krumbholz
- Department of Neurology and Pain Treatment, Immanuel Klinik Rüdersdorf, University Hospital of the Brandenburg Medical School Theodor Fontane, Rüdersdorf bei Berlin, Germany
- Faculty of Health Sciences Brandenburg, Brandenburg Medical School Theodor Fontane, Rüdersdorf bei Berlin, Germany
- Department of Neurology and Stroke, University Hospital of Tübingen, Tübingen, Germany
| | - Tania Kümpfel
- Institute of Clinical Neuroimmunology, LMU Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Friedemann Paul
- Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Experimental and Clinical Research Center, a Cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and Charité-Universitätsmedizin Berlin, Berlin, Germany
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
- NeuroCure Clinical Research Center, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, and Berlin Institute of Health, and Max Delbrück Center for Molecular Medicine, Berlin, Germany
| | - Marius Ringelstein
- Department of Neurology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Department of Neurology, Center for Neurology and Neuropsychiatry, LVR-Klinikum, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Klemens Ruprecht
- Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Makbule Senel
- Department of Neurology, University of Ulm, Ulm, Germany
| | - Jan-Patrick Stellmann
- Department of Neurology and Institute of Neuroimmunology and MS (INIMS), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- APHM, Hopital de la Timone, CEMEREM, Marseille, France
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France
| | | | | | - Brigitte Wildemann
- Molecular Neuroimmunology Group, Department of Neurology, University of Heidelberg, Heidelberg, Germany
| | - Corinna Trebst
- Department of Neurology, Hannover Medical School, Hannover, Germany.
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Wahed LA, Cho TA. Imaging of Central Nervous System Autoimmune, Paraneoplastic, and Neuro-rheumatologic Disorders. Continuum (Minneap Minn) 2023; 29:255-291. [PMID: 36795880 DOI: 10.1212/con.0000000000001244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2023]
Abstract
OBJECTIVE This article provides an overview of the imaging modalities used in the evaluation of central nervous system (CNS) autoimmune, paraneoplastic, and neuro-rheumatologic disorders. An approach is outlined for interpreting imaging findings in this context, synthesizing a differential diagnosis based on certain imaging patterns, and choosing further imaging for specific diseases. LATEST DEVELOPMENTS The rapid discovery of new neuronal and glial autoantibodies has revolutionized the autoimmune neurology field and has elucidated imaging patterns characteristic of certain antibody-associated diseases. Many CNS inflammatory diseases, however, lack a definitive biomarker. Clinicians should recognize neuroimaging patterns suggestive of inflammatory disorders, as well as the limitations of imaging. CT, MRI, and positron emission tomography (PET) modalities all play a role in diagnosing autoimmune, paraneoplastic, and neuro-rheumatologic disorders. Additional imaging modalities such as conventional angiography and ultrasonography can be helpful for further evaluation in select situations. ESSENTIAL POINTS Knowledge of imaging modalities, both structural and functional, is critical in identifying CNS inflammatory diseases quickly and can help avoid invasive testing such as brain biopsy in certain clinical scenarios. Recognizing imaging patterns suggestive of CNS inflammatory diseases can also facilitate the early initiation of appropriate treatments to diminish morbidity and future disability.
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10
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London F, Mulquin N, Ossemann M. Longitudinally extensive spinal cord lesion: keep toxoplasmosis in mind. Acta Neurol Belg 2023; 123:323-325. [PMID: 36622524 DOI: 10.1007/s13760-023-02184-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Accepted: 01/05/2023] [Indexed: 01/10/2023]
Affiliation(s)
- Frédéric London
- Department of Neurology, Université Catholique de Louvain (UCLouvain), CHU UCL Namur, 1 Avenue G. Thérasse, 5530, Yvoir, Belgium.
| | - Nicolas Mulquin
- Department of Radiology, Université Catholique de Louvain (UCLouvain), CHU UCL Namur, Yvoir, Belgium
| | - Michel Ossemann
- Department of Neurology, Université Catholique de Louvain (UCLouvain), CHU UCL Namur, 1 Avenue G. Thérasse, 5530, Yvoir, Belgium
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11
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Weil EL, Nakawah MO, Masdeu JC. Advances in the neuroimaging of motor disorders. HANDBOOK OF CLINICAL NEUROLOGY 2023; 195:359-381. [PMID: 37562878 DOI: 10.1016/b978-0-323-98818-6.00039-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/12/2023]
Abstract
Neuroimaging is a valuable adjunct to the history and examination in the evaluation of motor system disorders. Conventional imaging with computed tomography or magnetic resonance imaging depicts important anatomic information and helps to identify imaging patterns which may support diagnosis of a specific motor disorder. Advanced imaging techniques can provide further detail regarding volume, functional, or metabolic changes occurring in nervous system pathology. This chapter is an overview of the advances in neuroimaging with particular emphasis on both standard and less well-known advanced imaging techniques and findings, such as diffusion tensor imaging or volumetric studies, and their application to specific motor disorders. In addition, it provides reference to emerging imaging biomarkers in motor system disorders such as Parkinson disease, amyotrophic lateral sclerosis, and Huntington disease, and briefly reviews the neuroimaging findings in different causes of myelopathy and peripheral nerve disorders.
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Affiliation(s)
- Erika L Weil
- Department of Neurology, University of Michigan, Ann Arbor, MI, United States; Stanley H. Appel Department of Neurology, Houston Methodist Hospital, Houston, TX, United States.
| | - Mohammad Obadah Nakawah
- Stanley H. Appel Department of Neurology, Houston Methodist Hospital, Houston, TX, United States; Department of Neurology, Weill Cornell Medicine, New York, NY, United States
| | - Joseph C Masdeu
- Stanley H. Appel Department of Neurology, Houston Methodist Hospital, Houston, TX, United States; Department of Neurology, Weill Cornell Medicine, New York, NY, United States
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12
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Mustafa R, Zalewski NL, Flanagan EP, Kumar N. Challenging Myelopathy Cases. Semin Neurol 2022; 42:723-734. [PMID: 36417994 DOI: 10.1055/a-1985-0124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Misdiagnosis of myelopathies is common and can lead to irreversible disability when diagnosis- and disease-specific treatments are delayed. Therefore, quickly determining the etiology of myelopathy is crucial. Clinical evaluation and MRI spine are paramount in establishing the correct diagnosis and subsequently an appropriate treatment plan. Herein, we review an approach to myelopathy diagnosis focused on the time course of neurologic symptom progression and neuroimaging pearls, and apply them to a variety of inflammatory, structural, and vascular myelopathy cases.
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Affiliation(s)
- Rafid Mustafa
- Department of Neurology, Mayo Clinic College of Medicine and Science, Rochester, Minnesota
| | | | - Eoin P Flanagan
- Department of Neurology, Mayo Clinic College of Medicine and Science, Rochester, Minnesota.,Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine and Science, Rochester, Minnesota
| | - Neeraj Kumar
- Department of Neurology, Mayo Clinic College of Medicine and Science, Rochester, Minnesota
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13
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Cacciaguerra L, Sechi E, Rocca MA, Filippi M, Pittock SJ, Flanagan EP. Neuroimaging features in inflammatory myelopathies: A review. Front Neurol 2022; 13:993645. [PMID: 36330423 PMCID: PMC9623025 DOI: 10.3389/fneur.2022.993645] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 08/16/2022] [Indexed: 11/15/2022] Open
Abstract
Spinal cord involvement can be observed in the course of immune-mediated disorders. Although multiple sclerosis (MS) represents the leading cause of inflammatory myelopathy, an increasing number of alternative etiologies must be now considered in the diagnostic work-up of patients presenting with myelitis. These include antibody-mediated disorders and cytotoxic T cell-mediated diseases targeting central nervous system (CNS) antigens, and systemic autoimmune conditions with secondary CNS involvement. Even though clinical features are helpful to orient the diagnostic suspicion (e.g., timing and severity of myelopathy symptoms), the differential diagnosis of inflammatory myelopathies is often challenging due to overlapping features. Moreover, noninflammatory etiologies can sometimes mimic an inflammatory process. In this setting, magnetic resonance imaging (MRI) is becoming a fundamental tool for the characterization of spinal cord damage, revealing a pictorial scenario which is wider than the clinical manifestations. The characterization of spinal cord lesions in terms of longitudinal extension, location on axial plane, involvement of the white matter and/or gray matter, and specific patterns of contrast enhancement, often allows a proper differentiation of these diseases. For instance, besides classical features, such as the presence of longitudinally extensive spinal cord lesions in patients with aquaporin-4-IgG positive neuromyelitis optica spectrum disorder (AQP4+NMOSD), novel radiological signs (e.g., H sign, trident sign) have been recently proposed and successfully applied for the differential diagnosis of inflammatory myelopathies. In this review article, we will discuss the radiological features of spinal cord involvement in autoimmune disorders such as MS, AQP4+NMOSD, myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD), and other recently characterized immune-mediated diseases. The identification of imaging pitfalls and mimics that can lead to misdiagnosis will also be examined. Since spinal cord damage is a major cause of irreversible clinical disability, the recognition of these radiological aspects will help clinicians achieve a correct and prompt diagnosis, treat early with disease-specific treatment and improve patient outcomes.
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Affiliation(s)
- Laura Cacciaguerra
- Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Elia Sechi
- Neurology Unit, Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy
| | - Maria A. Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Sean J. Pittock
- Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - Eoin P. Flanagan
- Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
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Sechi E, Cacciaguerra L, Chen JJ, Mariotto S, Fadda G, Dinoto A, Lopez-Chiriboga AS, Pittock SJ, Flanagan EP. Myelin Oligodendrocyte Glycoprotein Antibody-Associated Disease (MOGAD): A Review of Clinical and MRI Features, Diagnosis, and Management. Front Neurol 2022; 13:885218. [PMID: 35785363 PMCID: PMC9247462 DOI: 10.3389/fneur.2022.885218] [Citation(s) in RCA: 131] [Impact Index Per Article: 43.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Accepted: 05/06/2022] [Indexed: 01/02/2023] Open
Abstract
Myelin oligodendrocyte glycoprotein (MOG) antibody-associated disease (MOGAD) is the most recently defined inflammatory demyelinating disease of the central nervous system (CNS). Over the last decade, several studies have helped delineate the characteristic clinical-MRI phenotypes of the disease, allowing distinction from aquaporin-4 (AQP4)-IgG-positive neuromyelitis optica spectrum disorder (AQP4-IgG+NMOSD) and multiple sclerosis (MS). The clinical manifestations of MOGAD are heterogeneous, ranging from isolated optic neuritis or myelitis to multifocal CNS demyelination often in the form of acute disseminated encephalomyelitis (ADEM), or cortical encephalitis. A relapsing course is observed in approximately 50% of patients. Characteristic MRI features have been described that increase the diagnostic suspicion (e.g., perineural optic nerve enhancement, spinal cord H-sign, T2-lesion resolution over time) and help discriminate from MS and AQP4+NMOSD, despite some overlap. The detection of MOG-IgG in the serum (and sometimes CSF) confirms the diagnosis in patients with compatible clinical-MRI phenotypes, but false positive results are occasionally encountered, especially with indiscriminate testing of large unselected populations. The type of cell-based assay used to evaluate for MOG-IgG (fixed vs. live) and antibody end-titer (low vs. high) can influence the likelihood of MOGAD diagnosis. International consensus diagnostic criteria for MOGAD are currently being compiled and will assist in clinical diagnosis and be useful for enrolment in clinical trials. Although randomized controlled trials are lacking, MOGAD acute attacks appear to be very responsive to high dose steroids and plasma exchange may be considered in refractory cases. Attack-prevention treatments also lack class-I data and empiric maintenance treatment is generally reserved for relapsing cases or patients with severe residual disability after the presenting attack. A variety of empiric steroid-sparing immunosuppressants can be considered and may be efficacious based on retrospective or prospective observational studies but prospective randomized placebo-controlled trials are needed to better guide treatment. In summary, this article will review our rapidly evolving understanding of MOGAD diagnosis and management.
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Affiliation(s)
- Elia Sechi
- Neurology Unit, Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy
| | - Laura Cacciaguerra
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute and Vita-Salute San Raffaele University, Milan, Italy
- Department of Neurology and Center for Multiple Sclerosis and Autoimmune Neurology Mayo Clinic, Rochester, MN, United States
| | - John J. Chen
- Department of Neurology and Center for Multiple Sclerosis and Autoimmune Neurology Mayo Clinic, Rochester, MN, United States
- Department of Ophthalmology, Mayo Clinic, Rochester, MN, United States
| | - Sara Mariotto
- Neurology Unit, Department of Neurosciences, Biomedicine, and Movement Sciences, University of Verona, Verona, Italy
| | - Giulia Fadda
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | - Alessandro Dinoto
- Neurology Unit, Department of Neurosciences, Biomedicine, and Movement Sciences, University of Verona, Verona, Italy
| | | | - Sean J. Pittock
- Department of Neurology and Center for Multiple Sclerosis and Autoimmune Neurology Mayo Clinic, Rochester, MN, United States
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - Eoin P. Flanagan
- Department of Neurology and Center for Multiple Sclerosis and Autoimmune Neurology Mayo Clinic, Rochester, MN, United States
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
- *Correspondence: Eoin P. Flanagan
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15
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Tang J, Zeng X, Yang J, Zhang L, Li H, Chen R, Tang S, Luo Y, Qin X, Feng J. Expression and Clinical Correlation Analysis Between Repulsive Guidance Molecule a and Neuromyelitis Optica Spectrum Disorders. Front Immunol 2022; 13:766099. [PMID: 35185873 PMCID: PMC8850277 DOI: 10.3389/fimmu.2022.766099] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2021] [Accepted: 01/17/2022] [Indexed: 11/13/2022] Open
Abstract
Objectives This study sought to explore the expression patterns of repulsive guidance molecules a (RGMa) in neuromyelitis optica spectrum disorders (NMOSD) and to explore the correlation between RGMa and the clinical features of NMOSD. Methods A total of 83 NMOSD patients and 22 age-matched healthy controls (HCs) were enrolled in the study from October 2017 to November 2021. Clinical parameters, including Expanded Disability Status Scale (EDSS) score, degree of MRI enhancement, and AQP4 titer were collected. The expression of serum RGMa was measured by enzyme-linked immunosorbent assay (ELISA) and compared across the four patient groups. The correlation between serum RGMa levels and different clinical parameters was also assessed. Results The average serum expression of RGMa in the NMOSD group was significantly higher than that in the HC group (p < 0.001). Among the patient groups, the acute phase group exhibited significantly higher serum RGMa levels than did the remission group (p < 0.001). A multivariate analysis revealed a significant positive correlation between RGMa expression and EDSS score at admission, degree of MRI enhancement, and segmental length of spinal cord lesions. There was a significant negative correlation between the expression of RGMa in NMOSD and the time from attack to sampling or delta EDSS. Conclusions The current study suggests that RGMa may be considered a potential biomarker predicting the severity, disability, and clinical features of NMOSD.
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Affiliation(s)
- Jinhua Tang
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Department of Neurology, People's Hospital of Chongqing Hechuan, Chongqing, China
| | - Xiaopeng Zeng
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jun Yang
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Lei Zhang
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hang Li
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Rui Chen
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Shi Tang
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yetao Luo
- Department of Biostatistics, School of Public Health and Management, Chongqing Medical University, Chongqing, China
| | - Xinyue Qin
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jinzhou Feng
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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16
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Valencia-Sanchez C, Flanagan EP. Uncommon inflammatory/immune-related myelopathies. J Neuroimmunol 2021; 361:577750. [PMID: 34715593 DOI: 10.1016/j.jneuroim.2021.577750] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 09/16/2021] [Accepted: 10/10/2021] [Indexed: 01/03/2023]
Abstract
The differential diagnosis for immune-mediated myelopathies is broad. Although clinical manifestations overlap, certain presentations are suggestive of a particular myelopathy etiology. Spine MRI lesion characteristics including the length and location, and the pattern of gadolinium enhancement, help narrow the differential diagnosis and exclude an extrinsic compressive cause. The discovery of specific antibodies that serve as biomarkers of myelitis such as aquaporin-4-IgG and myelin-oligodendrocyte -glycoprotein-IgG (MOG-IgG), has improved our understanding of myelitis pathophysiology and facilitated diagnosis. In this review we will focus on the pathophysiology, clinical presentation, imaging findings and treatment and outcomes of uncommon immune-mediated myelopathies.
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17
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Mustafa R, Passe TJ, Lopez-Chiriboga AS, Weinshenker BG, Krecke KN, Zalewski NL, Diehn FE, Sechi E, Mandrekar J, Kaufmann TJ, Morris PP, Pittock SJ, Toledano M, Lanzino G, Aksamit AJ, Kumar N, Lucchinetti CF, Flanagan EP. Utility of MRI Enhancement Pattern in Myelopathies With Longitudinally Extensive T2 Lesions. Neurol Clin Pract 2021; 11:e601-e611. [PMID: 34824894 PMCID: PMC8610516 DOI: 10.1212/cpj.0000000000001036] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 11/02/2020] [Indexed: 01/21/2023]
Abstract
Objective To determine whether MRI gadolinium enhancement patterns in myelopathies with longitudinally extensive T2 lesions can be reliably distinguished and assist in diagnosis. Methods We retrospectively identified 74 Mayo Clinic patients (January 1, 1996–December 31, 2019) fulfilling the following criteria: (1) clinical myelopathy; (2) MRI spine available; (3) longitudinally extensive T2 hyperintensity (≥3 vertebral segments); and (4) characteristic gadolinium enhancement pattern associated with a specific myelopathy etiology. Thirty-nine cases with alternative myelopathy etiologies, without previously described enhancement patterns, were included as controls. Two independent readers, educated on enhancement patterns, reviewed T2-weighted and postgadolinium T1-weighted images and selected the diagnosis based on this knowledge. These were compared with the true diagnoses, and agreement was measured with Kappa coefficient. Results Among all cases and controls (n = 113), there was excellent agreement for diagnosis using postgadolinium images (kappa, 0.76) but poor agreement with T2-weighted characteristics alone (kappa, 0.25). A correct diagnosis was more likely when assessing postgadolinium image characteristics than with T2-weighted images alone (rater 1: 100/113 [88%] vs 61/113 [54%] correct, p < 0.0001; rater 2: 95/113 [84%] vs 68/113 [60%] correct, p < 0.0001). Of the 74 with characteristic enhancement patterns, 55 (74%) were assigned an alternative incorrect or nonspecific diagnosis when originally evaluated in clinical practice, 12 (16%) received immunotherapy for noninflammatory myelopathies, and 2 (3%) underwent unnecessary spinal cord biopsy. Conclusions Misdiagnosis of myelopathies is common. The gadolinium enhancement patterns characteristic of specific diagnoses can be identified with excellent agreement between raters educated on this topic. This study highlights the potential diagnostic utility of enhancement patterns in myelopathies with longitudinally extensive T2 lesions.
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Affiliation(s)
- Rafid Mustafa
- Department of Neurology (RM, BGW, NLZ, ES, SJP, MT, AJA, NK, CFL, EPF), Department of Radiology (TJP, KNK, FED, TJK, PPM), Department of Biostatistics (JM), Department of Laboratory Medicine and Pathology (SJP, EPF), and Department of Neurologic Surgery (GL), Mayo Clinic College of Medicine & Science, Rochester, MN; and Department of Neurology, Mayo Clinic College of Medicine & Science (ASL-C), Jacksonville, FL
| | - Theodore J Passe
- Department of Neurology (RM, BGW, NLZ, ES, SJP, MT, AJA, NK, CFL, EPF), Department of Radiology (TJP, KNK, FED, TJK, PPM), Department of Biostatistics (JM), Department of Laboratory Medicine and Pathology (SJP, EPF), and Department of Neurologic Surgery (GL), Mayo Clinic College of Medicine & Science, Rochester, MN; and Department of Neurology, Mayo Clinic College of Medicine & Science (ASL-C), Jacksonville, FL
| | - Alfonso S Lopez-Chiriboga
- Department of Neurology (RM, BGW, NLZ, ES, SJP, MT, AJA, NK, CFL, EPF), Department of Radiology (TJP, KNK, FED, TJK, PPM), Department of Biostatistics (JM), Department of Laboratory Medicine and Pathology (SJP, EPF), and Department of Neurologic Surgery (GL), Mayo Clinic College of Medicine & Science, Rochester, MN; and Department of Neurology, Mayo Clinic College of Medicine & Science (ASL-C), Jacksonville, FL
| | - Brian G Weinshenker
- Department of Neurology (RM, BGW, NLZ, ES, SJP, MT, AJA, NK, CFL, EPF), Department of Radiology (TJP, KNK, FED, TJK, PPM), Department of Biostatistics (JM), Department of Laboratory Medicine and Pathology (SJP, EPF), and Department of Neurologic Surgery (GL), Mayo Clinic College of Medicine & Science, Rochester, MN; and Department of Neurology, Mayo Clinic College of Medicine & Science (ASL-C), Jacksonville, FL
| | - Karl N Krecke
- Department of Neurology (RM, BGW, NLZ, ES, SJP, MT, AJA, NK, CFL, EPF), Department of Radiology (TJP, KNK, FED, TJK, PPM), Department of Biostatistics (JM), Department of Laboratory Medicine and Pathology (SJP, EPF), and Department of Neurologic Surgery (GL), Mayo Clinic College of Medicine & Science, Rochester, MN; and Department of Neurology, Mayo Clinic College of Medicine & Science (ASL-C), Jacksonville, FL
| | - Nicholas L Zalewski
- Department of Neurology (RM, BGW, NLZ, ES, SJP, MT, AJA, NK, CFL, EPF), Department of Radiology (TJP, KNK, FED, TJK, PPM), Department of Biostatistics (JM), Department of Laboratory Medicine and Pathology (SJP, EPF), and Department of Neurologic Surgery (GL), Mayo Clinic College of Medicine & Science, Rochester, MN; and Department of Neurology, Mayo Clinic College of Medicine & Science (ASL-C), Jacksonville, FL
| | - Felix E Diehn
- Department of Neurology (RM, BGW, NLZ, ES, SJP, MT, AJA, NK, CFL, EPF), Department of Radiology (TJP, KNK, FED, TJK, PPM), Department of Biostatistics (JM), Department of Laboratory Medicine and Pathology (SJP, EPF), and Department of Neurologic Surgery (GL), Mayo Clinic College of Medicine & Science, Rochester, MN; and Department of Neurology, Mayo Clinic College of Medicine & Science (ASL-C), Jacksonville, FL
| | - Elia Sechi
- Department of Neurology (RM, BGW, NLZ, ES, SJP, MT, AJA, NK, CFL, EPF), Department of Radiology (TJP, KNK, FED, TJK, PPM), Department of Biostatistics (JM), Department of Laboratory Medicine and Pathology (SJP, EPF), and Department of Neurologic Surgery (GL), Mayo Clinic College of Medicine & Science, Rochester, MN; and Department of Neurology, Mayo Clinic College of Medicine & Science (ASL-C), Jacksonville, FL
| | - Jay Mandrekar
- Department of Neurology (RM, BGW, NLZ, ES, SJP, MT, AJA, NK, CFL, EPF), Department of Radiology (TJP, KNK, FED, TJK, PPM), Department of Biostatistics (JM), Department of Laboratory Medicine and Pathology (SJP, EPF), and Department of Neurologic Surgery (GL), Mayo Clinic College of Medicine & Science, Rochester, MN; and Department of Neurology, Mayo Clinic College of Medicine & Science (ASL-C), Jacksonville, FL
| | - Timothy J Kaufmann
- Department of Neurology (RM, BGW, NLZ, ES, SJP, MT, AJA, NK, CFL, EPF), Department of Radiology (TJP, KNK, FED, TJK, PPM), Department of Biostatistics (JM), Department of Laboratory Medicine and Pathology (SJP, EPF), and Department of Neurologic Surgery (GL), Mayo Clinic College of Medicine & Science, Rochester, MN; and Department of Neurology, Mayo Clinic College of Medicine & Science (ASL-C), Jacksonville, FL
| | - Padraig P Morris
- Department of Neurology (RM, BGW, NLZ, ES, SJP, MT, AJA, NK, CFL, EPF), Department of Radiology (TJP, KNK, FED, TJK, PPM), Department of Biostatistics (JM), Department of Laboratory Medicine and Pathology (SJP, EPF), and Department of Neurologic Surgery (GL), Mayo Clinic College of Medicine & Science, Rochester, MN; and Department of Neurology, Mayo Clinic College of Medicine & Science (ASL-C), Jacksonville, FL
| | - Sean J Pittock
- Department of Neurology (RM, BGW, NLZ, ES, SJP, MT, AJA, NK, CFL, EPF), Department of Radiology (TJP, KNK, FED, TJK, PPM), Department of Biostatistics (JM), Department of Laboratory Medicine and Pathology (SJP, EPF), and Department of Neurologic Surgery (GL), Mayo Clinic College of Medicine & Science, Rochester, MN; and Department of Neurology, Mayo Clinic College of Medicine & Science (ASL-C), Jacksonville, FL
| | - Michel Toledano
- Department of Neurology (RM, BGW, NLZ, ES, SJP, MT, AJA, NK, CFL, EPF), Department of Radiology (TJP, KNK, FED, TJK, PPM), Department of Biostatistics (JM), Department of Laboratory Medicine and Pathology (SJP, EPF), and Department of Neurologic Surgery (GL), Mayo Clinic College of Medicine & Science, Rochester, MN; and Department of Neurology, Mayo Clinic College of Medicine & Science (ASL-C), Jacksonville, FL
| | - Giuseppe Lanzino
- Department of Neurology (RM, BGW, NLZ, ES, SJP, MT, AJA, NK, CFL, EPF), Department of Radiology (TJP, KNK, FED, TJK, PPM), Department of Biostatistics (JM), Department of Laboratory Medicine and Pathology (SJP, EPF), and Department of Neurologic Surgery (GL), Mayo Clinic College of Medicine & Science, Rochester, MN; and Department of Neurology, Mayo Clinic College of Medicine & Science (ASL-C), Jacksonville, FL
| | - Allen J Aksamit
- Department of Neurology (RM, BGW, NLZ, ES, SJP, MT, AJA, NK, CFL, EPF), Department of Radiology (TJP, KNK, FED, TJK, PPM), Department of Biostatistics (JM), Department of Laboratory Medicine and Pathology (SJP, EPF), and Department of Neurologic Surgery (GL), Mayo Clinic College of Medicine & Science, Rochester, MN; and Department of Neurology, Mayo Clinic College of Medicine & Science (ASL-C), Jacksonville, FL
| | - Neeraj Kumar
- Department of Neurology (RM, BGW, NLZ, ES, SJP, MT, AJA, NK, CFL, EPF), Department of Radiology (TJP, KNK, FED, TJK, PPM), Department of Biostatistics (JM), Department of Laboratory Medicine and Pathology (SJP, EPF), and Department of Neurologic Surgery (GL), Mayo Clinic College of Medicine & Science, Rochester, MN; and Department of Neurology, Mayo Clinic College of Medicine & Science (ASL-C), Jacksonville, FL
| | - Claudia F Lucchinetti
- Department of Neurology (RM, BGW, NLZ, ES, SJP, MT, AJA, NK, CFL, EPF), Department of Radiology (TJP, KNK, FED, TJK, PPM), Department of Biostatistics (JM), Department of Laboratory Medicine and Pathology (SJP, EPF), and Department of Neurologic Surgery (GL), Mayo Clinic College of Medicine & Science, Rochester, MN; and Department of Neurology, Mayo Clinic College of Medicine & Science (ASL-C), Jacksonville, FL
| | - Eoin P Flanagan
- Department of Neurology (RM, BGW, NLZ, ES, SJP, MT, AJA, NK, CFL, EPF), Department of Radiology (TJP, KNK, FED, TJK, PPM), Department of Biostatistics (JM), Department of Laboratory Medicine and Pathology (SJP, EPF), and Department of Neurologic Surgery (GL), Mayo Clinic College of Medicine & Science, Rochester, MN; and Department of Neurology, Mayo Clinic College of Medicine & Science (ASL-C), Jacksonville, FL
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18
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Abstract
Acute myelopathies are spinal cord disorders characterized by a rapidly progressive course reaching nadir within hours to a few weeks that may result in severe disability. The multitude of underlying etiologies, complexities in confirming the diagnosis, and often unforgiving nature of spinal cord damage have always represented a challenge. Moreover, certain slowly progressive myelopathies may present acutely or show abrupt worsening in specific settings and thus further complicate the diagnostic workup. Awareness of the clinical and magnetic resonance imaging characteristics of different myelopathies and the specific settings where they occur is fundamental for a correct diagnosis. Neuroimaging helps distinguish compressive etiologies that may require urgent surgery from intrinsic etiologies that generally require medical treatment. Differentiation between various myelopathies is essential to establish timely and appropriate treatment and avoid harm from unnecessary procedures. This article reviews the contemporary spectrum of acute myelopathy etiologies and provides guidance for diagnosis and management.
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Affiliation(s)
- Elia Sechi
- Department of Neurology, Mayo Clinic, Rochester, Minnesota
| | - Eoin P Flanagan
- Department of Neurology, Mayo Clinic, Rochester, Minnesota.,Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
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19
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Clarke L, Arnett S, Bukhari W, Khalilidehkordi E, Jimenez Sanchez S, O'Gorman C, Sun J, Prain KM, Woodhall M, Silvestrini R, Bundell CS, Abernethy DA, Bhuta S, Blum S, Boggild M, Boundy K, Brew BJ, Brownlee W, Butzkueven H, Carroll WM, Chen C, Coulthard A, Dale RC, Das C, Fabis-Pedrini MJ, Gillis D, Hawke S, Heard R, Henderson APD, Heshmat S, Hodgkinson S, Kilpatrick TJ, King J, Kneebone C, Kornberg AJ, Lechner-Scott J, Lin MW, Lynch C, Macdonell RAL, Mason DF, McCombe PA, Pereira J, Pollard JD, Ramanathan S, Reddel SW, Shaw CP, Spies JM, Stankovich J, Sutton I, Vucic S, Walsh M, Wong RC, Yiu EM, Barnett MH, Kermode AGK, Marriott MP, Parratt JDE, Slee M, Taylor BV, Willoughby E, Brilot F, Vincent A, Waters P, Broadley SA. MRI Patterns Distinguish AQP4 Antibody Positive Neuromyelitis Optica Spectrum Disorder From Multiple Sclerosis. Front Neurol 2021; 12:722237. [PMID: 34566866 PMCID: PMC8458658 DOI: 10.3389/fneur.2021.722237] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 08/10/2021] [Indexed: 01/01/2023] Open
Abstract
Neuromyelitis optica spectrum disorder (NMOSD) and multiple sclerosis (MS) are inflammatory diseases of the CNS. Overlap in the clinical and MRI features of NMOSD and MS means that distinguishing these conditions can be difficult. With the aim of evaluating the diagnostic utility of MRI features in distinguishing NMOSD from MS, we have conducted a cross-sectional analysis of imaging data and developed predictive models to distinguish the two conditions. NMOSD and MS MRI lesions were identified and defined through a literature search. Aquaporin-4 (AQP4) antibody positive NMOSD cases and age- and sex-matched MS cases were collected. MRI of orbits, brain and spine were reported by at least two blinded reviewers. MRI brain or spine was available for 166/168 (99%) of cases. Longitudinally extensive (OR = 203), "bright spotty" (OR = 93.8), whole (axial; OR = 57.8) or gadolinium (Gd) enhancing (OR = 28.6) spinal cord lesions, bilateral (OR = 31.3) or Gd-enhancing (OR = 15.4) optic nerve lesions, and nucleus tractus solitarius (OR = 19.2), periaqueductal (OR = 16.8) or hypothalamic (OR = 7.2) brain lesions were associated with NMOSD. Ovoid (OR = 0.029), Dawson's fingers (OR = 0.031), pyramidal corpus callosum (OR = 0.058), periventricular (OR = 0.136), temporal lobe (OR = 0.137) and T1 black holes (OR = 0.154) brain lesions were associated with MS. A score-based algorithm and a decision tree determined by machine learning accurately predicted more than 85% of both diagnoses using first available imaging alone. We have confirmed NMOSD and MS specific MRI features and combined these in predictive models that can accurately identify more than 85% of cases as either AQP4 seropositive NMOSD or MS.
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Affiliation(s)
- Laura Clarke
- Menzies Health Institute Queensland, Gold Coast, Griffith University, Southport, QLD, Australia
| | - Simon Arnett
- Menzies Health Institute Queensland, Gold Coast, Griffith University, Southport, QLD, Australia
| | - Wajih Bukhari
- Menzies Health Institute Queensland, Gold Coast, Griffith University, Southport, QLD, Australia
| | - Elham Khalilidehkordi
- Menzies Health Institute Queensland, Gold Coast, Griffith University, Southport, QLD, Australia
| | - Sofia Jimenez Sanchez
- Menzies Health Institute Queensland, Gold Coast, Griffith University, Southport, QLD, Australia
| | - Cullen O'Gorman
- Menzies Health Institute Queensland, Gold Coast, Griffith University, Southport, QLD, Australia
| | - Jing Sun
- Menzies Health Institute Queensland, Gold Coast, Griffith University, Southport, QLD, Australia
| | - Kerri M Prain
- Department of Immunology, Pathology Queensland, Royal Brisbane and Women's Hospital, Herston, QLD, Australia
| | - Mark Woodhall
- Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - Roger Silvestrini
- Department of Immunopathology, Westmead Hospital, Westmead, NSW, Australia
| | - Christine S Bundell
- School of Pathology and Laboratory Medicine, University of Western Australia, Nedlands, WA, Australia
| | | | - Sandeep Bhuta
- Menzies Health Institute Queensland, Gold Coast, Griffith University, Southport, QLD, Australia
| | - Stefan Blum
- Department of Neurology, Princess Alexandra Hospital, Woolloongabba, QLD, Australia
| | - Mike Boggild
- Department of Neurology, Townsville Hospital, Douglas, QLD, Australia
| | - Karyn Boundy
- Department of Neurology, College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | - Bruce J Brew
- Centre for Applied Medical Research, St. Vincent's Hospital, University of New South Wales, Darlinghurst, NSW, Australia
| | - Wallace Brownlee
- Department of Neurology, Auckland City Hospital, Grafton, New Zealand
| | - Helmut Butzkueven
- Melbourne Brain Centre, Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia
| | - William M Carroll
- Centre for Neuromuscular and Neurological Disorders, Queen Elizabeth II Medical Centre, Perron Institute for Neurological and Translational Science, University of Western Australia, Nedlands, WA, Australia
| | - Cella Chen
- Department of Ophthalmology, Flinders Medical Centre, Flinders University, Bedford Park, SA, Australia
| | - Alan Coulthard
- School of Medicine, Royal Brisbane and Women's Hospital, University of Queensland, Herston, QLD, Australia
| | - Russell C Dale
- Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - Chandi Das
- Department of Neurology, Canberra Hospital, Garran, ACT, Australia
| | - Marzena J Fabis-Pedrini
- Centre for Neuromuscular and Neurological Disorders, Queen Elizabeth II Medical Centre, Perron Institute for Neurological and Translational Science, University of Western Australia, Nedlands, WA, Australia
| | - David Gillis
- School of Medicine, Royal Brisbane and Women's Hospital, University of Queensland, Herston, QLD, Australia
| | - Simon Hawke
- Sydney Medical School, Royal Prince Alfred Hospital, University of Sydney, Camperdown, NSW, Australia
| | - Robert Heard
- Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | | | - Saman Heshmat
- Menzies Health Institute Queensland, Gold Coast, Griffith University, Southport, QLD, Australia
| | - Suzanne Hodgkinson
- South Western Sydney Medical School, Liverpool Hospital, University of New South Wales, Liverpool, NSW, Australia
| | - Trevor J Kilpatrick
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - John King
- Department of Neurology, Royal Melbourne Hospital, Parkville, VIC, Australia
| | | | - Andrew J Kornberg
- School of Paediatrics, Royal Children's Hospital, University of Melbourne, Parkville, VIC, Australia
| | - Jeannette Lechner-Scott
- Hunter Medical Research Institute, University of Newcastle, New Lambton Heights, NSW, Australia
| | - Ming-Wei Lin
- Sydney Medical School, Royal Prince Alfred Hospital, University of Sydney, Camperdown, NSW, Australia
| | | | | | - Deborah F Mason
- Department of Neurology, Christchurch Hospital, Christchurch, New Zealand
| | - Pamela A McCombe
- Centre for Clinical Research, Royal Brisbane and Women's Hospital, University of Queensland, Herston, QLD, Australia
| | - Jennifer Pereira
- School of Medicine, University of Auckland, Grafton, New Zealand
| | - John D Pollard
- Sydney Medical School, Royal Prince Alfred Hospital, University of Sydney, Camperdown, NSW, Australia
| | - Sudarshini Ramanathan
- Neuroimmunology Group, Kids Neurosciences Centre, Children's Hospital at Westmead, University of Sydney, Westmead, NSW, Australia.,Department of Neurology, Concord Repatriation General Hospital, Concord, NSW, Australia
| | - Stephen W Reddel
- Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - Cameron P Shaw
- School of Medicine, Deakin University, Waurn Ponds, VIC, Australia
| | - Judith M Spies
- Sydney Medical School, Royal Prince Alfred Hospital, University of Sydney, Camperdown, NSW, Australia
| | - James Stankovich
- Menzies Research Institute, University of Tasmania, Hobart, TAS, Australia
| | - Ian Sutton
- Department of Neurology, St. Vincent's Hospital, Darlinghurst, NSW, Australia
| | - Steve Vucic
- Department of Neurology, Westmead Hospital, Westmead, NSW, Australia
| | - Michael Walsh
- Department of Neurology, Princess Alexandra Hospital, Woolloongabba, QLD, Australia
| | - Richard C Wong
- School of Medicine, Royal Brisbane and Women's Hospital, University of Queensland, Herston, QLD, Australia
| | - Eppie M Yiu
- School of Paediatrics, Royal Children's Hospital, University of Melbourne, Parkville, VIC, Australia
| | - Michael H Barnett
- Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - Allan G K Kermode
- Centre for Neuromuscular and Neurological Disorders, Queen Elizabeth II Medical Centre, Perron Institute for Neurological and Translational Science, University of Western Australia, Nedlands, WA, Australia
| | - Mark P Marriott
- Melbourne Brain Centre, Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia
| | - John D E Parratt
- Sydney Medical School, Royal Prince Alfred Hospital, University of Sydney, Camperdown, NSW, Australia
| | - Mark Slee
- Department of Neurology, College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | - Bruce V Taylor
- Menzies Research Institute, University of Tasmania, Hobart, TAS, Australia
| | - Ernest Willoughby
- Department of Neurology, Auckland City Hospital, Grafton, New Zealand
| | - Fabienne Brilot
- Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia.,Neuroimmunology Group, Kids Neurosciences Centre, Children's Hospital at Westmead, University of Sydney, Westmead, NSW, Australia
| | - Angela Vincent
- Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - Patrick Waters
- Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - Simon A Broadley
- Menzies Health Institute Queensland, Gold Coast, Griffith University, Southport, QLD, Australia.,Department of Neurology, Gold Coast University Hospital, Southport, QLD, Australia
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20
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Iorio R, Papi C. Neuromyelitis optica, aquaporin-4 antibodies, and neuroendocrine disorders. HANDBOOK OF CLINICAL NEUROLOGY 2021; 181:173-186. [PMID: 34238456 DOI: 10.1016/b978-0-12-820683-6.00013-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Neuromyelitis optica (NMO) is an autoimmune disorder of the central nervous system that preferentially affects the optic nerve and the spinal cord. In around 80% of NMO patients, autoantibodies binding to aquaporin-4 (AQP4) are detected. AQP4-IgG unifies a spectrum of disorders (NMOSD) that include not only optic neuritis, longitudinally extensive transverse myelitis but also syndromes caused by lesion of the diencephalic region and the circumventricular organs (CVOs). The distinctive immunopathological characteristics of NMOSD lesions, occurring in regions where AQP4 is highly expressed, supports a central role for AQP4-IgG in disease pathogenesis. AQP4 expression is concentrated in CVOs and in the hypothalamus, mainly in the dorsal hypothalamic area, dorsomedial hypothalamic nucleus and suprachiasmatic nucleus. Several neuroendocrine disorders caused by inflammatory lesions involving the diencephalic region have been described in patients with NMOSD, including syndrome of inappropriate antidiuresis, sleep disorders, and other endocrinopathies caused by hypothalamic injury. Focus of this chapter is the involvement of hypothalamus and CVOs in AQP4 autoimmunity.
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Affiliation(s)
- Raffaele Iorio
- Neurology Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, and Università Cattolica del Sacro Cuore, Rome, Italy
| | - Claudia Papi
- Neurology Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, and Università Cattolica del Sacro Cuore, Rome, Italy
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21
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Clarke L, Arnett S, Lilley K, Liao J, Bhuta S, Broadley SA. Magnetic resonance imaging in neuromyelitis optica spectrum disorder. Clin Exp Immunol 2021; 206:251-265. [PMID: 34080180 DOI: 10.1111/cei.13630] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 05/19/2021] [Accepted: 05/20/2021] [Indexed: 12/30/2022] Open
Abstract
Neuromyelitis optica spectrum disorder (NMOSD) is an inflammatory disease of the central nervous system (CNS) associated with antibodies to aquaporin-4 (AQP4), which has distinct clinical, radiological and pathological features, but also has some overlap with multiple sclerosis and myelin oligodendrocyte glycoprotein (MOG) antibody associated disease. Early recognition of NMOSD is important because of differing responses to both acute and preventive therapy. Magnetic resonance (MR) imaging has proved essential in this process. Key MR imaging clues to the diagnosis of NMOSD are longitudinally extensive lesions of the optic nerve (more than half the length) and spinal cord (three or more vertebral segments), bilateral optic nerve lesions and lesions of the optic chiasm, area postrema, floor of the IV ventricle, periaqueductal grey matter, hypothalamus and walls of the III ventricle. Other NMOSD-specific lesions are denoted by their unique morphology: heterogeneous lesions of the corpus callosum, 'cloud-like' gadolinium (Gd)-enhancing white matter lesions and 'bright spotty' lesions of the spinal cord. Other lesions described in NMOSD, including linear periventricular peri-ependymal lesions and patch subcortical white matter lesions, may be less specific. The use of advanced MR imaging techniques is yielding further useful information regarding focal degeneration of the thalamus and optic radiation in NMOSD and suggests that paramagnetic rim patterns and changes in normal appearing white matter are specific to MS. MR imaging is crucial in the early recognition of NMOSD and in directing testing for AQP4 antibodies and guiding immediate acute treatment decisions. Increasingly, MR imaging is playing a role in diagnosing seronegative cases of NMOSD.
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Affiliation(s)
- Laura Clarke
- Menzies Health Institute Queensland, Gold Coast Campus, Griffith University, Nathan, QLD, Australia.,Department of Neurology, Princess Alexandra Hospital, Brisbane, QLD, Australia
| | - Simon Arnett
- Menzies Health Institute Queensland, Gold Coast Campus, Griffith University, Nathan, QLD, Australia.,Department of Neurology, Gold Coast University Hospital, Southport, QLD, Australia
| | - Kate Lilley
- Menzies Health Institute Queensland, Gold Coast Campus, Griffith University, Nathan, QLD, Australia.,Department of Neurology, Gold Coast University Hospital, Southport, QLD, Australia
| | - Jacky Liao
- Menzies Health Institute Queensland, Gold Coast Campus, Griffith University, Nathan, QLD, Australia
| | - Sandeep Bhuta
- Menzies Health Institute Queensland, Gold Coast Campus, Griffith University, Nathan, QLD, Australia.,Department of Radiology, Gold Coast University Hospital, Southport, QLD, Australia
| | - Simon A Broadley
- Menzies Health Institute Queensland, Gold Coast Campus, Griffith University, Nathan, QLD, Australia.,Department of Neurology, Gold Coast University Hospital, Southport, QLD, Australia
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22
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Abdel-Wahed L, Cho TA. Immune-Mediated Myelopathies: A Review of Etiologies, Diagnostic Approach, and Therapeutic Management. Semin Neurol 2021; 41:269-279. [PMID: 34030191 DOI: 10.1055/s-0041-1725152] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Myelopathy is a broad term used to describe a heterogeneous group of disorders that affects the spinal cord; the focus of this article will be a subgroup of these disorders with an autoimmune and inflammatory-based pathology. Symptoms typically develop over hours or days and then worsen over a matter of days to weeks, but sometimes can have a more insidious or subacute presentation, which can make the diagnosis more puzzling. Despite relatively low incidence rates, almost a third of affected patients are left with severely disabling symptoms. Prompt recognition of the underlying etiology is essential so that a specific targeted therapy can be implemented for optimal outcomes. The authors discuss a systematic approach to immune-mediated myelopathies, with a focus on the unique characteristics of each that may aid in diagnosis.
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Affiliation(s)
- Lama Abdel-Wahed
- Department of Neurology, University of Iowa Hospitals and Clinics, Iowa City, Iowa
| | - Tracey A Cho
- Department of Neurology, University of Iowa Hospitals and Clinics, Iowa City, Iowa
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23
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Oertel FC, Scheel M, Chien C, Bischof A, Finke C, Paul F. [Differential diagnostics of autoimmune inflammatory spinal cord diseases]. DER NERVENARZT 2021; 92:293-306. [PMID: 33765163 PMCID: PMC7992127 DOI: 10.1007/s00115-021-01092-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 02/02/2021] [Indexed: 11/04/2022]
Abstract
Myelitis is an acute or subacute inflammatory syndrome of the spinal cord. Myelopathy, often used as a synonym and presenting with similar symptoms in clinical practice, can be caused by numerous, not primarily inflammatory etiologies and might also show a progressive disease course. Within the last decade the spectrum of autoimmune myelitis was significantly broadened as was the spectrum of diagnostic methods. Apart from the characteristic example of multiple sclerosis with short-length myelitis and neuromyelitis optica spectrum disorders with longitudinally extensive transverse myelitis, multiple rare but important differential diagnoses should also be considered. Magnetic resonance imaging and laboratory analyses of serum antibodies and cerebrospinal fluid are the most important diagnostic methods and are fundamental for rapid treatment decisions, subsequently with better prognosis. This article reviews representative diseases within the spectrum of autoimmune spinal cord diseases and their differential diagnoses.
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Affiliation(s)
- Frederike C Oertel
- Experimental and Clinical Research Center, Max Delbrück Center for Molecular Universität Berlin, Humboldt-Universität zu Berlin, und Berlin Institute of Health, Berlin, Deutschland
- Neurocure Clinical Research Center, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, und Berlin Institute of health, Berlin, Deutschland
| | - Michael Scheel
- Institut für Neuroradiologie, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, und Berlin Institute of Health, Berlin, Deutschland
| | - Claudia Chien
- Experimental and Clinical Research Center, Max Delbrück Center for Molecular Universität Berlin, Humboldt-Universität zu Berlin, und Berlin Institute of Health, Berlin, Deutschland
- Klinik für Psychiatrie und Psychotherapie, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, und Berlin Institute of Health, Berlin, Deutschland
| | - Antje Bischof
- Klinik für Neurologie mit Institut für Translationale Neurologie, Universitätsklinikum Münster, Münster, Deutschland
| | - Carsten Finke
- Klinik für Neurologie mit Experimenteller Neurologie, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, und Berlin Institute of Health, Charitéplatz 1, 10117, Berlin, Deutschland
- Faculty of Philosophy, Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Deutschland
| | - Friedemann Paul
- Experimental and Clinical Research Center, Max Delbrück Center for Molecular Universität Berlin, Humboldt-Universität zu Berlin, und Berlin Institute of Health, Berlin, Deutschland.
- Neurocure Clinical Research Center, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, und Berlin Institute of health, Berlin, Deutschland.
- Klinik für Neurologie mit Experimenteller Neurologie, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, und Berlin Institute of Health, Charitéplatz 1, 10117, Berlin, Deutschland.
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24
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English SW, Rabinstein AA, Flanagan EP, Zalewski NL. Spinal cord transient ischemic attack: Insights from a series of spontaneous spinal cord infarction. Neurol Clin Pract 2021; 10:480-483. [PMID: 33520410 DOI: 10.1212/cpj.0000000000000778] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Accepted: 10/03/2019] [Indexed: 11/15/2022]
Abstract
Objective To define the prevalence and characteristics of spinal cord transient ischemic attack (sTIA) in a large retrospective series of patients who met diagnostic criteria for spontaneous spinal cord infarction (SCI). Methods An institution-based search tool was used to identify patients evaluated at the Mayo Clinic in Rochester, MN, from 1997 to 2017 with spontaneous SCI (n = 133). Cases were subsequently reviewed for transient myelopathic symptoms preceding infarction that were suspected ischemic in nature. We performed a descriptive analysis of patients with sTIA before SCI. Results Of 133 patients with a diagnosis of spontaneous SCI, we identified 4 patients (3%) who experienced sTIA before SCI. The median age at presentation was 61.5 years (range 46-75 years), 2 (50%) were women, and 3 (75%) had traditional vascular risk factors. Localization was cervical cord in 2 cases (50%) and thoracic cord in 2 cases (50%); all patients developed SCI in the same distribution as their preceding sTIA symptoms. All patients experienced recurrent sTIA before SCI. Symptoms ranged from seconds to a few minutes before returning to baseline. No patients had pain as a feature of sTIA. Conclusions sTIAs are possible but rare in patients who subsequently have a SCI. Clinical features are similar to those of SCI, with rapid onset of severe myelopathic deficits, followed by prompt resolution. Vascular risk factors are common in these patients. Thus, recognition of a sTIA may represent a valuable opportunity for vascular risk factor modification and stroke prevention. However, given the rarity, physicians should explore other possible explanations when sTIA is considered.
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Affiliation(s)
- Stephen W English
- Department of Neurology (SWE), Emory University, Atlanta, GA; and Department of Neurology (AAR, EPF, NLZ), Mayo Clinic, Rochester, MN
| | - Alejandro A Rabinstein
- Department of Neurology (SWE), Emory University, Atlanta, GA; and Department of Neurology (AAR, EPF, NLZ), Mayo Clinic, Rochester, MN
| | - Eoin P Flanagan
- Department of Neurology (SWE), Emory University, Atlanta, GA; and Department of Neurology (AAR, EPF, NLZ), Mayo Clinic, Rochester, MN
| | - Nicholas L Zalewski
- Department of Neurology (SWE), Emory University, Atlanta, GA; and Department of Neurology (AAR, EPF, NLZ), Mayo Clinic, Rochester, MN
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25
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Abstract
PURPOSE OF REVIEW This article reviews the neuroimaging of disorders of the spinal cord and cauda equina, with a focus on MRI. An anatomic approach is used; diseases of the extradural, intradural-extramedullary, and intramedullary (parenchymal) compartments are considered, and both neoplastic and non-neoplastic conditions are covered. Differentiating imaging features are highlighted. RECENT FINDINGS Although T2-hyperintense signal abnormality of the spinal cord can have myriad etiologies, neuroimaging can provide specific diagnoses or considerably narrow the differential diagnosis in many cases. Intradural-extramedullary lesions compressing the spinal cord have a limited differential diagnosis and are usually benign; meningiomas and schwannomas are most common. Extradural lesions can often be specifically diagnosed. Disk herniations are the most commonly encountered mass of the epidural space. Cervical spondylotic myelopathy can cause a characteristic pattern of enhancement, which may be mistaken for an intrinsic myelopathy. A do-not-miss diagnosis of the extradural compartment is idiopathic spinal cord herniation, the appearance of which can overlap with arachnoid cysts and webs. Regarding intrinsic causes of myelopathy, the lesions of multiple sclerosis are characteristically short segment but can be confluent when multiple. Postcontrast MRI can be particularly helpful, including when attempting to differentiate the long-segment myelopathy of neurosarcoidosis and aquaporin-4 (AQP4)-IgG-seropositive neuromyelitis optica spectrum disorder (NMOSD) and when characterizing spinal cord tumors such as primary neoplasms and metastases. Spinal dural arteriovenous fistula is another do-not-miss diagnosis, with characteristic MRI features both precontrast and postcontrast. Tract-specific white matter involvement can be a clue for diseases such as subacute combined degeneration, paraneoplastic myelopathy, and radiation myelitis, whereas gray matter-specific involvement can suggest conditions such as cord infarct, viral myelitis, or myelin oligodendrocyte glycoprotein (MOG)-IgG associated disorder. SUMMARY Knowledge of the neuroimaging findings of the many causes of spinal cord and cauda equina dysfunction is critical for both neurologists and neuroradiologists. A structured approach to lesion compartmental location and imaging feature characterization is recommended.
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26
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Abstract
PURPOSE OF REVIEW This article provides an update on the clinical diagnosis and management of immune-mediated myelopathies, including the relevance of imaging, ancillary testing with an emphasis on autoantibody biomarkers, recognition of myelitis mimics, and therapeutic approach. RECENT FINDINGS The imaging characterization of immune-mediated myelopathies and the discovery of neural autoantibodies have been crucial in improving our ability to accurately diagnose myelitis. The identification of autoantibodies directed against specific central nervous system targets has led to major improvements in our understanding of the mechanisms underlying inflammation in myelitis. It has also allowed distinction of these myelopathy etiologies from noninflammatory etiologies of myelopathy and from multiple sclerosis and provided insight into their risk of recurrence, treatment response, and long-term clinical outcomes. Prompt recognition and appropriate testing in the setting of acute and subacute myelopathies is critical as timely administration of immunotherapy can help improve symptoms and prevent permanent neurologic disability. A patient should not be classified as having "idiopathic transverse myelitis" without a comprehensive evaluation for a more specific etiology. Achieving the correct diagnosis and learning to recognize noninflammatory myelitis mimics is crucial as they have therapeutic and prognostic implications. SUMMARY Identifying the clinical and radiographic features of immune-mediated myelitis and recognizing mimics and pitfalls will help clinicians treat confirmed autoimmune myelitis appropriately.
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27
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Sechi E, Mariotto S, McKeon A, Krecke KN, Pittock SJ, Ferrari S, Monaco S, Flanagan EP, Zanzoni S, Rabinstein AA, Wingerchuk DM, Nasr DM, Zalewski NL. Serum Neurofilament to Magnetic Resonance Imaging Lesion Area Ratio Differentiates Spinal Cord Infarction From Acute Myelitis. Stroke 2021; 52:645-654. [PMID: 33423516 DOI: 10.1161/strokeaha.120.031482] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND AND PURPOSE The diagnosis of spontaneous spinal cord infarction (SCI) is limited by the lack of diagnostic biomarkers and MRI features that often overlap with those of other myelopathies, especially acute myelitis. We investigated whether the ratio between serum neurofilament light chain levels and MRI T2-lesion area (neurofilament light chain/area ratio-NAR) differentiates SCI from acute myelitis of similar severity. METHODS We retrospectively identified Mayo Clinic patients (January 1, 2000-December 31, 2019) with (1) SCI, (2) AQP4 (aquaporin 4)-IgG or MOG (myelin oligodendrocyte glycoprotein)-IgG-associated myelitis at disease clinical presentation, or (3) idiopathic transverse myelitis from a previously identified population-based cohort of patients seronegative for AQP4-IgG and MOG-IgG. Serum neurofilament light chain levels (pg/mL) were assessed at the Verona University (SIMOA, Quanterix) in a blinded fashion on available stored samples obtained ≤3 months from myelopathy presentation. For each patient, the largest spinal cord lesion area (mm2) was manually outlined by 2 independent raters on sagittal T2-weighted MRI images, and the mean value was used to determine NAR (pg/[mL·mm2]). RESULTS Forty-eight patients were included SCI, 20 (definite, 11; probable, 6; possible, 3); acute myelitis, 28 (AQP4-IgG-associated, 17; MOG-IgG-associated, 5; idiopathic transverse myelitis, 6). The median expanded disability status scale score (range) at myelopathy nadir were 7.75 (2-8.5) and 5.5 (2-8), respectively. Serum neurofilament light chain levels (median [range] pg/mL) in patients with SCI (188 [14.3-2793.4]) were significantly higher compared with patients with AQP4-IgG-associated myelitis (37 [0.8-6942.9]), MOG-IgG-associated myelitis (45.8 [4-283.8]), and idiopathic transverse myelitis (15.6 [0.9-217.8]); P=0.01. NAR showed the highest accuracy for identification of SCI versus acute myelitis with values ≥0.35 pg/(mL·mm2) yielding 86% specificity and 95% sensitivity (area under the curve=0.93). The positive and negative likelihood ratios were 6.67 and 0.06, respectively. NAR remained independently associated with SCI after adjusting for age, gender, immunotherapy before sampling, and days from myelopathy symptoms onset to sampling (P=0.0007). CONCLUSIONS NAR is a novel and promising clinical biomarker for differentiation of SCI from acute myelitis.
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Affiliation(s)
- Elia Sechi
- Departments of Neurology (E.S., A.M., S.J.P., E.P.F., A.A.R., D.M.N., N.L.Z.), Mayo Clinic, Rochester.,Neurology Unit, Department of Neurosciences, Biomedicine, and Movement Sciences (E.S., S. Mariotto, S.F., S. Monaco), University of Verona, Italy
| | - Sara Mariotto
- Neurology Unit, Department of Neurosciences, Biomedicine, and Movement Sciences (E.S., S. Mariotto, S.F., S. Monaco), University of Verona, Italy
| | - Andrew McKeon
- Departments of Neurology (E.S., A.M., S.J.P., E.P.F., A.A.R., D.M.N., N.L.Z.), Mayo Clinic, Rochester.,Laboratory Medicine and Pathology (A.M., S.J.P., E.P.F.), Mayo Clinic, Rochester
| | | | - Sean J Pittock
- Departments of Neurology (E.S., A.M., S.J.P., E.P.F., A.A.R., D.M.N., N.L.Z.), Mayo Clinic, Rochester.,Laboratory Medicine and Pathology (A.M., S.J.P., E.P.F.), Mayo Clinic, Rochester
| | - Sergio Ferrari
- Neurology Unit, Department of Neurosciences, Biomedicine, and Movement Sciences (E.S., S. Mariotto, S.F., S. Monaco), University of Verona, Italy
| | - Salvatore Monaco
- Neurology Unit, Department of Neurosciences, Biomedicine, and Movement Sciences (E.S., S. Mariotto, S.F., S. Monaco), University of Verona, Italy
| | - Eoin P Flanagan
- Departments of Neurology (E.S., A.M., S.J.P., E.P.F., A.A.R., D.M.N., N.L.Z.), Mayo Clinic, Rochester.,Laboratory Medicine and Pathology (A.M., S.J.P., E.P.F.), Mayo Clinic, Rochester
| | - Serena Zanzoni
- Centro Piattaforme Tecnologiche (S.Z.), University of Verona, Italy
| | - Alejandro A Rabinstein
- Departments of Neurology (E.S., A.M., S.J.P., E.P.F., A.A.R., D.M.N., N.L.Z.), Mayo Clinic, Rochester
| | | | - Deena M Nasr
- Departments of Neurology (E.S., A.M., S.J.P., E.P.F., A.A.R., D.M.N., N.L.Z.), Mayo Clinic, Rochester
| | - Nicholas L Zalewski
- Departments of Neurology (E.S., A.M., S.J.P., E.P.F., A.A.R., D.M.N., N.L.Z.), Mayo Clinic, Rochester
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28
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Paul S, Mondal GP, Bhattacharyya R, Ghosh KC, Bhat IA. Neuromyelitis optica spectrum disorders. J Neurol Sci 2020; 420:117225. [PMID: 33272591 DOI: 10.1016/j.jns.2020.117225] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 11/05/2020] [Accepted: 11/09/2020] [Indexed: 12/11/2022]
Abstract
The disease concept of Neuromyelitis Optica Spectrum Disorders(NMOSD) has undergone a significant change over the last two decades including the detection of Myelin Oligodendrocyte Glycoprotein(MOG) antibody in patients who are seronegative for aquaporin-4 antibody. Aquaporin-4 antibody positive NMOSD is now regarded as an immune astrocytopathy. Conversely, MOG antibody associated disease is known to target myelin rather than astrocytes, leading to an NMOSD syndrome with distinct clinical and radiological features. Incorporation of clinical features like area postrema syndrome, brainstem syndrome, diencephalic syndrome and cortical manifestations as core clinical characteristics into the revised diagnostic criteria has widened the clinical spectrum of NMOSD. With the development of these criteria, it is possible to make the diagnosis at an earlier stage so that effective immunosuppression can be instituted promptly for a better long-term prognosis. Newer therapeutic agents have been introduced for aquaporin-4 seropositive NMOSD disease; however, challenges remain in treating seronegative disease because of limited treatment options.
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Affiliation(s)
- Shabeer Paul
- Department of Neurology Calcutta National Medical College Hospital, Kolkata, West Bengal 700014, India.
| | - Gouranga Prasad Mondal
- Department of Neurology Calcutta National Medical College Hospital, Kolkata, West Bengal 700014, India.
| | - Ramesh Bhattacharyya
- Department of Neurology Calcutta National Medical College Hospital, Kolkata, West Bengal 700014, India.
| | - Kartik Chandra Ghosh
- Department of Neurology Calcutta National Medical College Hospital, Kolkata, West Bengal 700014, India.
| | - Imtiyaz Ahmad Bhat
- Department of Immunology & Molecular Medicine, Sher-i-Kashmir Institute of Medical Sciences, Srinagar, Kashmir 190011, India.
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29
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Server Alonso A, Sakinis T, Pfeiffer HCV, Sandvig I, Barlinn J, Marthinsen PB. Understanding Pediatric Neuroimmune Disorder Conflicts: A Neuroradiologic Approach in the Molecular Era. Radiographics 2020; 40:1395-1411. [PMID: 32735475 DOI: 10.1148/rg.2020200032] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Neuroimmune disorders in children are a complex group of inflammatory conditions of the central nervous system with diverse pathophysiologic mechanisms and clinical manifestations. Improvements in antibody analysis, genetics, neuroradiology, and different clinical phenotyping have expanded knowledge of the different neuroimmune disorders. The authors focus on pediatric-onset myelin oligodendrocyte glycoprotein (MOG) antibody-associated disease, which is a new entity in the spectrum of inflammatory demyelinating diseases, distinct from both multiple sclerosis (MS) and anti-aquaporin-4 (AQP4) antibody neuromyelitis optica spectrum disorders (NMOSDs). The authors review the importance of an optimized antibody-detection assay, the frequency of MOG antibodies in children with acquired demyelinating syndrome (ADS), the disease course, the clinical spectrum, proposed diagnostic criteria, and neuroimaging of MOG antibody-associated disease. Also, they outline differential diagnosis from other neuroimmune disorders in children according to the putative primary immune mechanism. Finally, they recommend a diagnostic algorithm for the first manifestation of ADS or relapsing ADS that leads to four demyelinating syndromes: MOG antibody-associated disease, AQP4 antibody NMOSDs, MS, and seronegative relapsing ADS. This diagnostic approach provides a framework for the strategic role of neuroradiology in diagnosis of ADS and decision making, to optimize patient care and treatment outcome in concert with clinicians. Online supplemental material is available for this article. ©RSNA, 2020.
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Affiliation(s)
- Andres Server Alonso
- From the Section of Neuroradiology, Department of Radiology and Nuclear Medicine (A.S.A., T.S., P.B.M.), and Department of Child Neurology (H.C.V.P., I.S., J.B.), Oslo University Hospital-Rikshospitalet, Postboks 4950 Nydalen, 0424 Oslo, Norway
| | - Tomas Sakinis
- From the Section of Neuroradiology, Department of Radiology and Nuclear Medicine (A.S.A., T.S., P.B.M.), and Department of Child Neurology (H.C.V.P., I.S., J.B.), Oslo University Hospital-Rikshospitalet, Postboks 4950 Nydalen, 0424 Oslo, Norway
| | - Helle Cecilie V Pfeiffer
- From the Section of Neuroradiology, Department of Radiology and Nuclear Medicine (A.S.A., T.S., P.B.M.), and Department of Child Neurology (H.C.V.P., I.S., J.B.), Oslo University Hospital-Rikshospitalet, Postboks 4950 Nydalen, 0424 Oslo, Norway
| | - Inger Sandvig
- From the Section of Neuroradiology, Department of Radiology and Nuclear Medicine (A.S.A., T.S., P.B.M.), and Department of Child Neurology (H.C.V.P., I.S., J.B.), Oslo University Hospital-Rikshospitalet, Postboks 4950 Nydalen, 0424 Oslo, Norway
| | - Jon Barlinn
- From the Section of Neuroradiology, Department of Radiology and Nuclear Medicine (A.S.A., T.S., P.B.M.), and Department of Child Neurology (H.C.V.P., I.S., J.B.), Oslo University Hospital-Rikshospitalet, Postboks 4950 Nydalen, 0424 Oslo, Norway
| | - Pål B Marthinsen
- From the Section of Neuroradiology, Department of Radiology and Nuclear Medicine (A.S.A., T.S., P.B.M.), and Department of Child Neurology (H.C.V.P., I.S., J.B.), Oslo University Hospital-Rikshospitalet, Postboks 4950 Nydalen, 0424 Oslo, Norway
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Abstract
Neuromyelitis optica (NMO) is a rare and chronic disabling autoimmune astrocytopathy of the central nervous system. Current advances regarding aquaporin-4 antibody function facilitate the understanding of clinical manifestations and imaging findings beyond optic neuritis and transverse myelitis. The current definition of NMO spectrum disorder (NMOSD) includes both aquaporin-4-IgG seropositive and seronegative patients who present with characteristic findings. This review will briefly summarize the pathophysiology and the latest NMOSD diagnostic criteria and focus on the NMOSD imaging findings and its differential diagnosis.
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Affiliation(s)
- Sheng-Che Hung
- Division of Neuroradiology, Department of Radiology, University of North Carolina School of Medicine, Chapel Hill, NC; Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC.
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Marrodan M, Gaitán MI, Correale J. Spinal Cord Involvement in MS and Other Demyelinating Diseases. Biomedicines 2020; 8:E130. [PMID: 32455910 PMCID: PMC7277673 DOI: 10.3390/biomedicines8050130] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 05/18/2020] [Accepted: 05/20/2020] [Indexed: 12/13/2022] Open
Abstract
Diagnostic accuracy is poor in demyelinating myelopathies, and therefore a challenge for neurologists in daily practice, mainly because of the multiple underlying pathophysiologic mechanisms involved in each subtype. A systematic diagnostic approach combining data from the clinical setting and presentation with magnetic resonance imaging (MRI) lesion patterns, cerebrospinal fluid (CSF) findings, and autoantibody markers can help to better distinguish between subtypes. In this review, we describe spinal cord involvement, and summarize clinical findings, MRI and diagnostic characteristics, as well as treatment options and prognostic implications in different demyelinating disorders including: multiple sclerosis (MS), neuromyelitis optica spectrum disorder, acute disseminated encephalomyelitis, anti-myelin oligodendrocyte glycoprotein antibody-associated disease, and glial fibrillary acidic protein IgG-associated disease. Thorough understanding of individual case etiology is crucial, not only to provide valuable prognostic information on whether the disorder is likely to relapse, but also to make therapeutic decision-making easier and reduce treatment failures which may lead to new relapses and long-term disability. Identifying patients with monophasic disease who may only require acute management, symptomatic treatment, and subsequent rehabilitation, rather than immunosuppression, is also important.
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Affiliation(s)
| | | | - Jorge Correale
- Neurology Department, Fleni, C1428AQK Buenos Aires, Argentina; (M.M.); (M.I.G.)
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Rabasté S, Cobo-Calvo A, Nistiriuc-Muntean V, Vukusic S, Marignier R, Cotton F. Diagnostic value of bright spotty lesions on MRI after a first episode of acute myelopathy. J Neuroradiol 2020; 48:28-36. [PMID: 32407908 DOI: 10.1016/j.neurad.2020.04.006] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 04/28/2020] [Accepted: 04/29/2020] [Indexed: 01/14/2023]
Abstract
BACKGROUND AND PURPOSE To determine the diagnostic value of bright spotty lesions (BSLs) for aquaporin-4 antibody-positive neuromyelitis optica spectrum disorder (NMOSDAQP4+), the predictive value of axial-BSLs for AQP4-IgG seropositivity, and the radio-clinical differences in NMOSDAQP4+ patients with and without axial-BSLs. MATERIALS AND METHODS Retrospective study that included patients aged≥16 years, with a first acute spinal cord syndrome between 2005 and 2018 and abnormal spinal cord MRI with axial and sagittal T2 sequences. Patients with MRI findings consistent with compressive myelopathy were excluded. All spinal cord MRI were retrospectively evaluated for the presence of BSLs by 2 radiologists blinded to the diagnosis of acute myelopathy. RESULTS A total of 82 patients were included; 15 aquaporin-4 antibody-positive neuromyelitis optica spectrum disorder patients (NMOSDAQP4+), and 67 other patients, considered as the other causes of myelopathy (OM) group. The specificity of axial-BSLs for NMOSDAQP4+ patients was 94.0% (95% CI [85.6 to 97.7]). The sensitivity was 40.0% (95% CI [19.8 to 64.3]). In the multivariable analysis, the only MRI characteristic associated with AQP4-IgG positivity was the presence of axial-BSLs (OR: 9.2, 95% CI [1.2 to 72.9]; P=0.022). In NMOSDAQP4+ patients, the median of cord expansion ratio was higher with axial-BSL (1.2, IQR [1.1-1.3]) than without axial-BSL (1.1, IQR [1.0-1.2]; P=0.046). CONCLUSION After a first acute spinal cord syndrome, the presence of axial-BSLs on spinal cord MRI seems very specific for NMOSDAQP4+ and seems to be a predictor radiological marker of AQP4-IgG positivity.
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Affiliation(s)
- Sylvain Rabasté
- Service de radiologie, centre hospitalier Lyon-Sud, hospices civils de Lyon, 69310 Pierre-Bénite, France
| | - Alvaro Cobo-Calvo
- Service de neurologie-sclérose en plaques, pathologies de la myéline et neuroinflammation, centre de référence des maladies inflammatoires rares du cerveau et de la moelle (MIRCEM), hospices civils de Lyon, hôpital neurologique Pierre-Wertheimer, 69500 Bron, France; Inserm U1028, CNRS UMR5292, centre de recherche en neuroscience de Lyon, université Lyon-1, 69008 Lyon, France
| | - Veronica Nistiriuc-Muntean
- Service de radiologie, centre hospitalier Lyon-Sud, hospices civils de Lyon, 69310 Pierre-Bénite, France
| | - Sandra Vukusic
- Service de neurologie-sclérose en plaques, pathologies de la myéline et neuroinflammation, centre de référence des maladies inflammatoires rares du cerveau et de la moelle (MIRCEM), hospices civils de Lyon, hôpital neurologique Pierre-Wertheimer, 69500 Bron, France; Inserm U1028, CNRS UMR5292, centre de recherche en neuroscience de Lyon, université Lyon-1, 69008 Lyon, France
| | - Romain Marignier
- Service de neurologie-sclérose en plaques, pathologies de la myéline et neuroinflammation, centre de référence des maladies inflammatoires rares du cerveau et de la moelle (MIRCEM), hospices civils de Lyon, hôpital neurologique Pierre-Wertheimer, 69500 Bron, France; Inserm U1028, CNRS UMR5292, centre de recherche en neuroscience de Lyon, université Lyon-1, 69008 Lyon, France
| | - François Cotton
- Service de radiologie, centre hospitalier Lyon-Sud, hospices civils de Lyon, 69310 Pierre-Bénite, France; Inserm U1044, CNRS UMR 5220, CREATIS, université Lyon-1, 69100 Villeurbanne, France.
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Dubey D, Pittock SJ, Krecke KN, Morris PP, Sechi E, Zalewski NL, Weinshenker BG, Shosha E, Lucchinetti CF, Fryer JP, Lopez-Chiriboga AS, Chen JC, Jitprapaikulsan J, McKeon A, Gadoth A, Keegan BM, Tillema JM, Naddaf E, Patterson MC, Messacar K, Tyler KL, Flanagan EP. Clinical, Radiologic, and Prognostic Features of Myelitis Associated With Myelin Oligodendrocyte Glycoprotein Autoantibody. JAMA Neurol 2020; 76:301-309. [PMID: 30575890 DOI: 10.1001/jamaneurol.2018.4053] [Citation(s) in RCA: 247] [Impact Index Per Article: 49.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Importance Recognizing the characteristics of myelin oligodendrocyte glycoprotein autoantibody (MOG-IgG) myelitis is essential for early accurate diagnosis and treatment. Objective To evaluate the clinical, radiologic, and prognostic features of MOG-IgG myelitis and compare with myelitis with aquaporin-4-IgG (AQP4-IgG) and multiple sclerosis (MS). Design, Setting, and Participants We retrospectively identified 199 MOG-IgG-positive Mayo Clinic patients from January 1, 2000, through December 31, 2017, through our neuroimmunology laboratory. Fifty-four patients met inclusion criteria of (1) clinical myelitis; (2) MOG-IgG positivity; and (3) medical records available. We excluded 145 patients without documented myelitis. Myelitis of AQP4-IgG (n = 46) and MS (n = 26) were used for comparison. Main Outcomes and Measures Outcome variables included modified Rankin score and need for gait aid. A neuroradiologist analyzed spine magnetic resonance imaging of patients with MOG-IgG and control patients blinded to diagnosis. Results Of 54 included patients with MOG-IgG myelitis, the median age was 25 years (range, 3-73 years) and 24 were women (44%). Isolated transverse myelitis was the initial manifestation in 29 patients (54%), and 10 (19%) were initially diagnosed as having viral/postviral acute flaccid myelitis. Cerebrospinal fluid-elevated oligoclonal bands occurred in 1 of 38 (3%). At final follow-up (median, 24 months; range, 2-120 months), 32 patients (59%) had developed 1 or more relapses of optic neuritis (n = 31); transverse myelitis (n = 7); or acute disseminated encephalomyelitis (n = 1). Clinical features favoring MOG-IgG myelitis vs AQP4-IgG or MS myelitis included prodromal symptoms and concurrent acute disseminated encephalomyelitis. Magnetic resonance imaging features favoring MOG-IgG over AQP4-IgG or MS myelitis were T2-signal abnormality confined to gray matter (sagittal line and axial H sign) and lack of enhancement. Longitudinally extensive T2 lesions were of similar frequency in MOG-IgG and AQP4-IgG myelitis (37 of 47 [79%] vs 28 of 34 [82%]; P = .52) but not found in MS. Multiple spinal cord lesions and conus involvement were more frequent with MOG-IgG than AQP4-IgG but not different from MS. Wheelchair dependence at myelitis nadir occurred in one-third of patients with MOG-IgG and AQP4-IgG but never with MS, although patients with MOG-IgG myelitis recovered better than those with AQP4-IgG. Conclusions and Relevance Myelitis is an early manifestation of MOG-IgG-related disease and may have a clinical phenotype of acute flaccid myelitis. We identified a variety of clinical and magnetic resonance imaging features that may help clinicians identify those at risk in whom MOG-IgG should be tested.
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Affiliation(s)
- Divyanshu Dubey
- Department of Neurology, Mayo Clinic College of Medicine, Rochester, Minnesota.,Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, Minnesota
| | - Sean J Pittock
- Department of Neurology, Mayo Clinic College of Medicine, Rochester, Minnesota.,Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, Minnesota
| | - Karl N Krecke
- Department of Radiology (Division of Neuroradiology), Mayo Clinic College of Medicine, Rochester, Minnesota
| | - Padraig P Morris
- Department of Radiology (Division of Neuroradiology), Mayo Clinic College of Medicine, Rochester, Minnesota
| | - Elia Sechi
- Department of Neurology, Mayo Clinic College of Medicine, Rochester, Minnesota
| | - Nicholas L Zalewski
- Department of Neurology, Mayo Clinic College of Medicine, Rochester, Minnesota
| | - Brian G Weinshenker
- Department of Neurology, Mayo Clinic College of Medicine, Rochester, Minnesota
| | - Eslam Shosha
- Department of Neurology, Mayo Clinic College of Medicine, Rochester, Minnesota
| | | | - James P Fryer
- Department of Neurology, Mayo Clinic College of Medicine, Rochester, Minnesota
| | - A Sebastian Lopez-Chiriboga
- Department of Neurology, Mayo Clinic College of Medicine, Rochester, Minnesota.,Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, Minnesota
| | - John C Chen
- Department of Neurology, Mayo Clinic College of Medicine, Rochester, Minnesota.,Department of Ophthalmology, Mayo Clinic College of Medicine, Rochester, Minnesota
| | - Jiraporn Jitprapaikulsan
- Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, Minnesota
| | - Andrew McKeon
- Department of Neurology, Mayo Clinic College of Medicine, Rochester, Minnesota.,Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, Minnesota
| | - Avi Gadoth
- Department of Neurology, Mayo Clinic College of Medicine, Rochester, Minnesota
| | - B Mark Keegan
- Department of Neurology, Mayo Clinic College of Medicine, Rochester, Minnesota
| | - Jan-Mendelt Tillema
- Department of Neurology, Mayo Clinic College of Medicine, Rochester, Minnesota
| | - Elie Naddaf
- Department of Neurology, Mayo Clinic College of Medicine, Rochester, Minnesota
| | - Marc C Patterson
- Department of Neurology, Mayo Clinic College of Medicine, Rochester, Minnesota
| | - Kevin Messacar
- Department of Pediatrics, University of Colorado School of Medicine, Aurora
| | - Kenneth L Tyler
- Department of Neurology, University of Colorado School of Medicine, Aurora
| | - Eoin P Flanagan
- Department of Neurology, Mayo Clinic College of Medicine, Rochester, Minnesota.,Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, Minnesota
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Wildner P, Stasiołek M, Matysiak M. Differential diagnosis of multiple sclerosis and other inflammatory CNS diseases. Mult Scler Relat Disord 2020; 37:101452. [DOI: 10.1016/j.msard.2019.101452] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Revised: 10/11/2019] [Accepted: 10/14/2019] [Indexed: 12/12/2022]
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Ramakrishnan P, Nagarajan D. Neuromyelitis optica spectrum disorder: an overview. Acta Neurobiol Exp (Wars) 2020. [DOI: 10.21307/ane-2020-023] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Flanagan EP. Neuromyelitis Optica Spectrum Disorder and Other Non-Multiple Sclerosis Central Nervous System Inflammatory Diseases. Continuum (Minneap Minn) 2019; 25:815-844. [PMID: 31162318 DOI: 10.1212/con.0000000000000742] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
PURPOSE OF REVIEW This article reviews the clinical features, diagnostic approach, treatment, and prognosis of central nervous system inflammatory diseases that mimic multiple sclerosis (MS), including those defined by recently discovered autoantibody biomarkers. RECENT FINDINGS The discovery of autoantibody biomarkers of inflammatory demyelinating diseases of the central nervous system (aquaporin-4 IgG and myelin oligodendrocyte glycoprotein IgG) and the recognition that, despite some overlap, their clinical phenotypes are distinct from MS have revolutionized this field of neurology. These autoantibody biomarkers assist in diagnosis and have improved our understanding of the underlying disease pathogenesis. This has allowed targeted treatments to be translated into clinical trials, three of which are now under way in aquaporin-4 IgG-seropositive neuromyelitis optica (NMO) spectrum disorder. SUMMARY Knowledge of the clinical attributes, MRI findings, CSF parameters, and accompanying autoantibody biomarkers can help neurologists distinguish MS from its inflammatory mimics. These antibody biomarkers provide critical diagnostic and prognostic information and guide treatment decisions. Better recognition of the clinical, radiologic, and laboratory features of other inflammatory MS mimics that lack autoantibody biomarkers has allowed us to diagnose these disorders faster and initiate disease-specific treatments more expeditiously.
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Zalewski NL, Rabinstein AA, Krecke KN, Brown RD, Wijdicks EFM, Weinshenker BG, Kaufmann TJ, Morris JM, Aksamit AJ, Bartleson JD, Lanzino G, Blessing MM, Flanagan EP. Characteristics of Spontaneous Spinal Cord Infarction and Proposed Diagnostic Criteria. JAMA Neurol 2019; 76:56-63. [PMID: 30264146 DOI: 10.1001/jamaneurol.2018.2734] [Citation(s) in RCA: 124] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Importance Spinal cord infarction (SCI) is often disabling, and the diagnosis can be challenging without an inciting event (eg, aortic surgery). Patients with a spontaneous SCI are often misdiagnosed as having transverse myelitis. Diagnostic criteria for SCI are lacking, hindering clinical care and research. Objective To describe the characteristics of spontaneous SCI and propose diagnostic criteria. Design, Setting, and Participants An institution-based search tool was used to identify patients evaluated at Mayo Clinic, Rochester, Minnesota, from January 1997 to December 2017 with a spontaneous SCI. Patients provided written consent to use their records for research. Participants were 18 years and older with a diagnosis of spontaneous SCI (n = 133), and controls were selected from a database of alternative myelopathy etiologies for validation of the proposed diagnostic criteria (n = 280). Main Outcomes and Measures A descriptive analysis of SCI was performed and used to propose diagnostic criteria, and the criteria were validated. Results Of 133 included patients with a spontaneous SCI, the median (interquartile range) age at presentation was 60 (52-69) years, and 101 (76%) had vascular risk factors. Rapid onset of severe deficits reaching nadir within 12 hours was typical (102 [77%]); some had a stuttering decline (31 [23%]). Sensory loss occurred in 126 patients (95%), selectively affecting pain/temperature in 49 (39%). Initial magnetic resonance imaging (MRI) spine results were normal in 30 patients (24%). Characteristic MRI T2-hyperintense patterns included owl eyes (82 [65%]) and pencil-like hyperintensity (50 [40%]); gadolinium enhancement (37 of 96 [39%]) was often linear and located in the anterior gray matter. Confirmatory MRI findings included diffusion-weighted imaging/apparent diffusion coefficient restriction (19 of 29 [67%]), adjacent dissection/occlusion (16 of 82 [20%]), and vertebral body infarction (11 [9%]). Cerebrospinal fluid showed mild inflammation in 7 of 89 patients (8%). Diagnostic criteria was proposed for definite, probable, and possible SCI of periprocedural and spontaneous onset. In the validation cohort (n = 280), 9 patients (3%) met criteria for possible SCI, and none met criteria for probable SCI. Conclusions and Relevance This large series of spontaneous SCIs provides clinical, laboratory, and MRI clues to SCI diagnosis. The diagnostic criteria proposed here will aid clinicians in making the correct diagnosis and ideally improve future care for patients with SCI. The validation of these criteria supports their utility in the evaluation of acute myelopathy.
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Affiliation(s)
| | | | - Karl N Krecke
- Department of Radiology, Mayo Clinic, Rochester, Minnesota
| | - Robert D Brown
- Department of Neurology, Mayo Clinic, Rochester, Minnesota
| | | | | | | | | | | | - J D Bartleson
- Department of Neurology, Mayo Clinic, Rochester, Minnesota
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Zalewski NL, Rabinstein AA, Brinjikji W, Kaufmann TJ, Nasr D, Ruff MW, Flanagan EP. Unique Gadolinium Enhancement Pattern in Spinal Dural Arteriovenous Fistulas. JAMA Neurol 2019; 75:1542-1545. [PMID: 30208378 DOI: 10.1001/jamaneurol.2018.2605] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Importance Spinal dural arteriovenous fistula (sDAVF) is often misdiagnosed as an inflammatory or a neoplastic myelopathy, often because of intraparenchymal gadolinium enhancement on magnetic resonance imaging (MRI); proper early diagnosis is important because deficits are reversible and a delay in treatment is associated with permanent morbidity. Tortuous flow voids on MRI are not universally present; thus, recognition of a unique gadolinium enhancement pattern may also aid in the early recognition and treatment of sDAVF. Objective To describe a unique pattern of spinal cord gadolinium enhancement on MRI in sDAVF. Design, Setting, and Participants This retrospective evaluation included pretreatment MRIs from 80 patients referred to the Mayo Clinic, Rochester, Minnesota, from January 1, 1997, through December 31, 2017, with a confirmed diagnosis of sDAVF and a control group of 144 patients with alternative confirmed myelopathy diagnoses. All participants underwent a neurologic evaluation at the Mayo Clinic. Main Outcomes and Measures Evidence of at least 1 focal geographic nonenhancing area within a long segment of intense holocord gadolinium enhancement (termed the missing-piece sign) on MRI. Results Of 51 patients with an sDAVF and a pretreatment MRI with gadolinium enhancement, 44 (86%) had intraparenchymal contrast enhancement, and 19 of these patients (43%) displayed the characteristic missing-piece sign. Of these 19 patients, symptom onset occurred at a median age of 67 years (range, 27-80 years); 15 patients were men. Progressive myelopathy features affecting the lower extremities occurred during a median of 33 months (range, 1-84 months). Eleven patients (58%) received an alternative diagnosis before confirmation of sDAVF. Tortuous flow voids were present on T2-weighted MRI in 13 of 19 patients. More than 1 digital subtraction angiogram was required for 5 patients to confirm the diagnosis. The missing-piece sign was not seen in any patients from the control group. Conclusions and Relevance This unique gadolinium enhancement pattern in sDAVF was not found in a large control group of patients with other myelopathy. Identifying the missing-piece sign on MRI could potentially result in earlier time to angiography with improved outcomes for patients with an sDAVF.
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Affiliation(s)
| | | | | | | | - Deena Nasr
- Department of Neurology, Mayo Clinic, Rochester, Minnesota
| | - Michael W Ruff
- Department of Neurology, Mayo Clinic, Rochester, Minnesota
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Hao Y, Xin M, Wang S, Ma D, Feng J. Myelopathy associated with mixed connective tissue disease: clinical manifestation, diagnosis, treatment, and prognosis. Neurol Sci 2019; 40:1785-1797. [DOI: 10.1007/s10072-019-03935-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2018] [Accepted: 05/09/2019] [Indexed: 11/27/2022]
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Moccia M, Ruggieri S, Ianniello A, Toosy A, Pozzilli C, Ciccarelli O. Advances in spinal cord imaging in multiple sclerosis. Ther Adv Neurol Disord 2019; 12:1756286419840593. [PMID: 31040881 PMCID: PMC6477770 DOI: 10.1177/1756286419840593] [Citation(s) in RCA: 66] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Accepted: 03/03/2019] [Indexed: 11/18/2022] Open
Abstract
The spinal cord is frequently affected in multiple sclerosis (MS), causing motor, sensory and autonomic dysfunction. A number of pathological abnormalities, including demyelination and neuroaxonal loss, occur in the MS spinal cord and are studied in vivo with magnetic resonance imaging (MRI). The aim of this review is to summarise and discuss recent advances in spinal cord MRI. Advances in conventional spinal cord MRI include improved identification of MS lesions, recommended spinal cord MRI protocols, enhanced recognition of MRI lesion characteristics that allow MS to be distinguished from other myelopathies, evidence for the role of spinal cord lesions in predicting prognosis and monitoring disease course, and novel post-processing methods to obtain lesion probability maps. The rate of spinal cord atrophy is greater than that of brain atrophy (-1.78% versus -0.5% per year), and reflects neuroaxonal loss in an eloquent site of the central nervous system, suggesting that it can become an important outcome measure in clinical trials, especially in progressive MS. Recent developments allow the calculation of spinal cord atrophy from brain volumetric scans and evaluation of its progression over time with registration-based techniques. Fully automated analysis methods, including segmentation of grey matter and intramedullary lesions, will facilitate the use of spinal cord atrophy in trial designs and observational studies. Advances in quantitative imaging techniques to evaluate neuroaxonal integrity, myelin content, metabolic changes, and functional connectivity, have provided new insights into the mechanisms of damage in MS. Future directions of research and the possible impact of 7T scanners on spinal cord imaging will be discussed.
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Affiliation(s)
- Marcello Moccia
- Queen Square MS Centre, NMR Research Unit, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Multiple Sclerosis Clinical Care and Research Centre, Department of Neurosciences, Federico II University of Naples, via Sergio Pansini, 5, Edificio 17 - piano terra, Napoli, 80131 Naples, Italy
| | - Serena Ruggieri
- Department of Human Neuroscience, Sapienza University of Rome, Italy
| | - Antonio Ianniello
- Department of Human Neuroscience, Sapienza University of Rome, Italy
| | - Ahmed Toosy
- Queen Square MS Centre, NMR Research Unit, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Carlo Pozzilli
- Department of Human Neuroscience, Sapienza University of Rome, Italy
| | - Olga Ciccarelli
- Queen Square MS Centre, NMR Research Unit, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- National Institute for Health Research, University College London Hospitals Biomedical Research Centre, London, UK
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Ciccarelli O, Cohen JA, Reingold SC, Weinshenker BG, Amato MP, Banwell B, Barkhof F, Bebo B, Becher B, Bethoux F, Brandt A, Brownlee W, Calabresi P, Chatway J, Chien C, Chitnis T, Ciccarelli O, Cohen J, Comi G, Correale J, De Sèze J, De Stefano N, Fazekas F, Flanagan E, Freedman M, Fujihara K, Galetta S, Goldman M, Greenberg B, Hartung HP, Hemmer B, Henning A, Izbudak I, Kappos L, Lassmann H, Laule C, Levy M, Lublin F, Lucchinetti C, Lukas C, Marrie RA, Miller A, Miller D, Montalban X, Mowry E, Ourselin S, Paul F, Pelletier D, Ranjeva JP, Reich D, Reingold S, Rocca MA, Rovira A, Schlaerger R, Soelberg Sorensen P, Sormani M, Stuve O, Thompson A, Tintoré M, Traboulsee A, Trapp B, Trojano M, Uitdehaag B, Vukusic S, Waubant E, Weinshenker B, Wheeler-Kingshott CG, Xu J. Spinal cord involvement in multiple sclerosis and neuromyelitis optica spectrum disorders. Lancet Neurol 2019; 18:185-197. [DOI: 10.1016/s1474-4422(18)30460-5] [Citation(s) in RCA: 82] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2018] [Revised: 11/09/2018] [Accepted: 11/14/2018] [Indexed: 12/13/2022]
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Magnetic resonance imaging in immune-mediated myelopathies. J Neurol 2019; 267:1233-1244. [PMID: 30694379 DOI: 10.1007/s00415-019-09206-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2018] [Revised: 01/15/2019] [Accepted: 01/18/2019] [Indexed: 10/27/2022]
Abstract
Immune-mediated myelopathies are a heterogeneous group of inflammatory spinal cord disorders including autoimmune disorders with known antibodies, e.g. aquaporin-4 IgG channelopathy or anti-myelin oligodendrocyte glycoprotein-associated myelitis, myelopathies in the context of multiple sclerosis and systemic autoimmune disorders with myelopathy, as well as post-infectious and paraneoplastic myelopathies. Although magnetic resonance imaging of the spinal cord is still challenging due to the small dimension of the cord cross-section and frequent movement and susceptibility artifacts, recent methodological advances have led to improved diagnostic evaluation and characterization of immune-mediated myelopathies. Topography, length and width of the lesion, gadolinium enhancement pattern, and changes in morphology over time help in narrowing the broad differential diagnosis. In this review, we give an overview of recent advances in magnetic resonance imaging of immune-mediated myelopathies and its role in the differential diagnosis and monitoring of this heterogeneous group of disorders.
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Neuroimaging in Inflammatory and Infectious Diseases of the Spinal Cord. Clin Neuroradiol 2019. [DOI: 10.1007/978-3-319-68536-6_40] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Chien C, Scheel M, Schmitz-Hübsch T, Borisow N, Ruprecht K, Bellmann-Strobl J, Paul F, Brandt AU. Spinal cord lesions and atrophy in NMOSD with AQP4-IgG and MOG-IgG associated autoimmunity. Mult Scler 2018; 25:1926-1936. [PMID: 30475082 DOI: 10.1177/1352458518815596] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
BACKGROUND Spinal cord (SC) affection is a hallmark symptom of neuromyelitis optica spectrum disorders (NMOSD). Patients with aquaporin-4 (AQP4-IgG+) or myelin oligodendrocyte glycoprotein (MOG-IgG+) antibody seropositivity show this overlapping clinical phenotype. OBJECTIVE Quantitative comparison of SC lesions and atrophy in AQP4-IgG+ and MOG-IgG+ NMOSD. METHODS AQP4-IgG+ (n = 38), MOG-IgG+ (n = 15) NMOSD patients and healthy controls (HC, n = 24) were analysed for SC lesion (prevalence, length, location), atrophy as mean upper cervical cord area (MUCCA), Expanded Disability Status Scale (EDSS), timed 25-foot walk speed (T25FWS) and 9-hole peg test (9HPT) measures. RESULTS In total, 92% (35/38) of AQP4-IgG+ and 53% (8/15) of MOG-IgG+ patients had myelitis attacks (χ2 = 6.47, p = 0.011). 65.8%/26.7% of AQP4-/MOG-IgG+ patients had chronic SC lesions (χ2 = 5.16, p = 0.023), with similar proportions in cervical, upper thoracic and lower thoracic cord, and no length differences. MUCCA was decreased in AQP4-IgG+ (t = -2.27, p = 0.028), but not MOG-IgG+ patients (t = 0.58, p = 0.57) compared to HC. MUCCA associated with myelitis attacks (rho = -0.33, p = 0.016), EDSS (rho = -0.31, p = 0.030), pyramidal functional score (rho = -0.42, p = 0.003), T25FWS (r = 0.43, p = 0.010) and 9HPT Z-score (r = 0.32, p = 0.037), regardless of antibody status. CONCLUSION AQP4-IgG+ patients had more myelitis attacks, SC lesions and SC atrophy was more pronounced than in MOG-IgG+ patients. MUCCA is associated with clinical myelitis attacks and disability in all NMOSD patients.
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Affiliation(s)
- Claudia Chien
- NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Michael Scheel
- NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Berlin, Germany/Department of Neuroradiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Tanja Schmitz-Hübsch
- NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Nadja Borisow
- NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Berlin, Germany/Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Klemens Ruprecht
- Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Judith Bellmann-Strobl
- NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Berlin, Germany/Experimental and Clinical Research Center, Max Delbrück Center for Molecular Medicine and Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Friedemann Paul
- NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Berlin, Germany/ Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany/ Experimental and Clinical Research Center, Max Delbrück Center for Molecular Medicine and Charité -Universitätsmedizin Berlin, Berlin, Germany
| | - Alexander U Brandt
- NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Berlin, Germany/Department of Neurology, University of California, Irvine, CA, USA
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Dutra BG, da Rocha AJ, Nunes RH, Maia ACM. Neuromyelitis Optica Spectrum Disorders: Spectrum of MR Imaging Findings and Their Differential Diagnosis. Radiographics 2018; 38:169-193. [PMID: 29320331 DOI: 10.1148/rg.2018170141] [Citation(s) in RCA: 81] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Neuromyelitis optica (NMO) is an autoimmune demyelinating disorder for which the aquaporin-4 (AQP4) water channels are the major target antigens. Advances in the understanding of NMO have clarified several points of its pathogenesis, clinical manifestations, and imaging patterns. A major advance was the discovery of the AQP4 antibody, which is highly specific for this disorder. Descriptions of new clinical and radiologic features in seropositive patients have expanded the spectrum of NMO, and the term NMO spectrum disorder (NMOSD) has been adopted. NMOSD is now included in a widening list of differential diagnoses. Acknowledgment of NMOSD imaging patterns and their mimicry of disorders has been crucial in supporting early NMOSD diagnosis, especially for unusual clinical manifestations of this demyelinating disease. This pictorial review summarizes the wide imaging spectrum of NMOSD and its differential diagnosis, as well as its historical evolution, pathophysiology, and clinical manifestations. ©RSNA, 2018.
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Affiliation(s)
- Bruna Garbugio Dutra
- From the Division of Neuroradiology, Serviço de Diagnóstico por Imagem, Santa Casa de Misericórdia de São Paulo, Rua Dr. Cesário Motta Jr. 112, Vila Buarque, São Paulo-SP 01221-020, Brazil; Division of Neuroradiology, Grupo DASA, São Paulo, Brazil (B.G.D., A.J.d.R., R.H.N.); and Division of Neuroradiology, Fleury Medicina e Saúde, São Paulo, Brazil (B.G.D, A.C.M.M.J.)
| | - Antônio José da Rocha
- From the Division of Neuroradiology, Serviço de Diagnóstico por Imagem, Santa Casa de Misericórdia de São Paulo, Rua Dr. Cesário Motta Jr. 112, Vila Buarque, São Paulo-SP 01221-020, Brazil; Division of Neuroradiology, Grupo DASA, São Paulo, Brazil (B.G.D., A.J.d.R., R.H.N.); and Division of Neuroradiology, Fleury Medicina e Saúde, São Paulo, Brazil (B.G.D, A.C.M.M.J.)
| | - Renato Hoffmann Nunes
- From the Division of Neuroradiology, Serviço de Diagnóstico por Imagem, Santa Casa de Misericórdia de São Paulo, Rua Dr. Cesário Motta Jr. 112, Vila Buarque, São Paulo-SP 01221-020, Brazil; Division of Neuroradiology, Grupo DASA, São Paulo, Brazil (B.G.D., A.J.d.R., R.H.N.); and Division of Neuroradiology, Fleury Medicina e Saúde, São Paulo, Brazil (B.G.D, A.C.M.M.J.)
| | - Antônio Carlos Martins Maia
- From the Division of Neuroradiology, Serviço de Diagnóstico por Imagem, Santa Casa de Misericórdia de São Paulo, Rua Dr. Cesário Motta Jr. 112, Vila Buarque, São Paulo-SP 01221-020, Brazil; Division of Neuroradiology, Grupo DASA, São Paulo, Brazil (B.G.D., A.J.d.R., R.H.N.); and Division of Neuroradiology, Fleury Medicina e Saúde, São Paulo, Brazil (B.G.D, A.C.M.M.J.)
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Geraldes R, Ciccarelli O, Barkhof F, De Stefano N, Enzinger C, Filippi M, Hofer M, Paul F, Preziosa P, Rovira A, DeLuca GC, Kappos L, Yousry T, Fazekas F, Frederiksen J, Gasperini C, Sastre-Garriga J, Evangelou N, Palace J. The current role of MRI in differentiating multiple sclerosis from its imaging mimics. Nat Rev Neurol 2018. [DOI: 10.1038/nrneurol.2018.14] [Citation(s) in RCA: 119] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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Mariano R, Flanagan EP, Weinshenker BG, Palace J. A practical approach to the diagnosis of spinal cord lesions. Pract Neurol 2018; 18:187-200. [PMID: 29500319 DOI: 10.1136/practneurol-2017-001845] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/22/2018] [Indexed: 01/03/2023]
Abstract
Every neurologist will be familiar with the patient with atypical spinal cord disease and the challenges of taking the diagnosis forward. This is predominantly because of the limited range of possible clinical and investigation findings making most individual features non-specific. The difficulty in obtaining a tissue diagnosis further contributes and patients are often treated empirically based on local prevalence and potential for reversibility. This article focuses on improving the diagnosis of adult non-traumatic, non-compressive spinal cord disorders. It is structured to start with the clinical presentation in order to be of practical use to the clinician. We aim, by combining the onset phenotype with the subsequent course, along with imaging and laboratory features, to improve the diagnostic process.
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Affiliation(s)
- Romina Mariano
- Nuffield Department of Clinical Neuroscience, Oxford University, Oxford, UK
| | - Eoin P Flanagan
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Jacqueline Palace
- Nuffield Department of Clinical Neuroscience, Oxford University, Oxford, UK
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Neuroimaging in Inflammatory and Infectious Diseases of the Spinal Cord. Clin Neuroradiol 2018. [DOI: 10.1007/978-3-319-61423-6_40-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Zalewski NL, Flanagan EP, Keegan BM. Evaluation of idiopathic transverse myelitis revealing specific myelopathy diagnoses. Neurology 2017; 90:e96-e102. [DOI: 10.1212/wnl.0000000000004796] [Citation(s) in RCA: 66] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2017] [Accepted: 09/07/2017] [Indexed: 01/08/2023] Open
Abstract
ObjectiveTo evaluate specific myelopathy diagnoses made in patients with suspected idiopathic transverse myelitis (ITM).MethodsA total of 226 patients 18 years and older were referred to Mayo Clinic Neurology for suspected ITM from December 1, 2010, to December 31, 2015. Electronic medical records were reviewed for detailed clinical presentation and course, laboratory and electrophysiologic investigations, and neuroimaging to determine the etiology. Current diagnostic criteria for ITM and alternative myelopathy diagnoses were applied. All cases where any discrepancy was suspected from the final reported clinical diagnosis were reviewed by each author and a consensus final diagnosis was made.ResultsThe diagnostic criteria for ITM were met in 41 of 226 patients (18.1%). In 158 patients (69.9%), an alternative specific myelopathy diagnosis was made: multiple sclerosis or clinically isolated syndrome, 75; vascular myelopathy, 41; neurosarcoidosis, 12; neuromyelitis optica spectrum disorder, 12; myelin oligodendrocyte glycoprotein myelopathy, 5; neoplastic, 4; compressive, 3; nutritional, 3; infectious, 2; and other, 2. A myelopathy was not confirmed in 27 patients. Time from symptom onset to final clinical diagnosis in patients without ITM was a median of 9 months (range 0–288). Fifty-five patients (24%) required treatment changes according to their final clinical diagnosis.ConclusionsThe majority of patients with suspected ITM have an alternative specific myelopathy diagnosis. A presumptive diagnosis of ITM can lead to premature diagnostic conclusions affecting patient treatment.
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Uygunoglu U, Zeydan B, Ozguler Y, Ugurlu S, Seyahi E, Kocer N, Islak C, Kantarci K, Saip S, Siva A, Kantarci OH. Myelopathy in Behçet's disease: The Bagel Sign. Ann Neurol 2017; 82:288-298. [DOI: 10.1002/ana.25004] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2017] [Revised: 07/17/2017] [Accepted: 07/19/2017] [Indexed: 11/08/2022]
Affiliation(s)
- Ugur Uygunoglu
- Istanbul University, Cerrahpaşa School of Medicine, Department of Neurology; Istanbul Turkey
- Mayo Clinic College of Medicine, Department of Neurology, Rochester; MN
| | - Burcu Zeydan
- Mayo Clinic College of Medicine, Department of Neurology, Rochester; MN
- Mayo Clinic College of Medicine, Department of Radiology, Rochester; MN
| | - Yesim Ozguler
- Istanbul University, Cerrahpaşa School of Medicine, Department of Rheumatology; Istanbul Turkey
| | - Serdal Ugurlu
- Istanbul University, Cerrahpaşa School of Medicine, Department of Rheumatology; Istanbul Turkey
| | - Emire Seyahi
- Istanbul University, Cerrahpaşa School of Medicine, Department of Rheumatology; Istanbul Turkey
| | - Naci Kocer
- Istanbul University, Cerrahpaşa School of Medicine, Department of Radiology; Istanbul Turkey
| | - Civan Islak
- Istanbul University, Cerrahpaşa School of Medicine, Department of Radiology; Istanbul Turkey
| | - Kejal Kantarci
- Mayo Clinic College of Medicine, Department of Radiology, Rochester; MN
| | - Sabahattin Saip
- Istanbul University, Cerrahpaşa School of Medicine, Department of Neurology; Istanbul Turkey
| | - Aksel Siva
- Istanbul University, Cerrahpaşa School of Medicine, Department of Neurology; Istanbul Turkey
| | - Orhun H. Kantarci
- Mayo Clinic College of Medicine, Department of Neurology, Rochester; MN
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