451
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Popova EV, Boyko AN, Barabanova MA, Antipova LN, Bakhtiyarova KZ, Belova AN, Solovieva VS, Belskaya GN, Lukashevich IG, Nikolaeva LI, Volkova LI, Turova EL, Kraeva AV, Goncharova ZA, Malkova NA, Poverennova IE, Sivertseva SA, Zhelnin AV, Trushnikova TN, Khabirov FA, Khaibullin TI. [Primary progressive multiple sclerosis: current issues of timely diagnosis]. Zh Nevrol Psikhiatr Im S S Korsakova 2018; 117:35-40. [PMID: 29359731 DOI: 10.17116/jnevro201711710235-40] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
This article presents a review of international data on primary progressive multiple sclerosis (PPMS) and an analysis of factors influencing timely diagnosis of PPMS in a number of regions of the Russian Federation.
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Affiliation(s)
- E V Popova
- City Clinical Hospital #24, Moscow, Russia
| | - A N Boyko
- Pirogov Russian National Research Medical University, Moscow, Russia
| | | | - L N Antipova
- Krasnodar Clinical Hospital #2, Krasnodar, Russia
| | | | - A N Belova
- Volga Federal Medical Research Center, Nizhny Novgorod, Russia
| | | | - G N Belskaya
- South-Ural State Medical University, Chelyabinsk, Russia
| | | | - L I Nikolaeva
- City Center of Multiple Sclerosis of City Clinical Hospital #1, Chelyabinsk, Russia
| | - L I Volkova
- Ural State Medical University, Yekaterinburg, Russia
| | - E L Turova
- Sverdlovsk Regional Clinical Hospital #1, Yekaterinburg, Russia
| | - A V Kraeva
- Sverdlovsk Regional Clinical Hospital #1, Yekaterinburg, Russia; City Center of Multiple Sclerosis, Rostov-on-Don, Russia
| | - Z A Goncharova
- City Center of Multiple Sclerosis, Rostov-on-Don, Russia; Rostov State Medical University, Rostov-on-Don, Russia
| | - N A Malkova
- Novosibirsk State Medical University, Novosibirsk, Russia; Novosibirsk State Regional Hospital, Novosibirsk, Russia
| | - I E Poverennova
- Novosibirsk State Regional Hospital, Novosibirsk, Russia; Samara State Medical University, Samara, Russia
| | | | - A V Zhelnin
- Perm Regional Clinical Hospital, Perm, Russia
| | | | | | - T I Khaibullin
- Kazan State Medical Academy, Kazan, Russia; Republican Clinical Neurologic Center, Kazan, Russia
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452
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Osteopontin (OPN) as a CSF and blood biomarker for multiple sclerosis: A systematic review and meta-analysis. PLoS One 2018; 13:e0190252. [PMID: 29346446 PMCID: PMC5773083 DOI: 10.1371/journal.pone.0190252] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2017] [Accepted: 12/11/2017] [Indexed: 12/02/2022] Open
Abstract
Identifying a reliable biomarker may accelerate diagnosis of multiple sclerosis (MS) and lead to early management of the disease. Accumulating evidence suggest that cerebrospinal fluid (CSF) and peripheral blood concentration of osteopontin (OPN) may have diagnostic and prognostic value in MS. We conducted a systematic review and meta-analysis of studies that measured peripheral blood and CSF levels of OPN in MS patients and controls to evaluate the diagnostic potential of this biomarker better. We searched PubMed, Web of Science and Scopus databases to find articles that measured OPN concentration in peripheral blood and CSF samples from MS patients up to October 19, 2016. Q statistic tests and the I2 index were applied for heterogeneity assessment. If the I2 index was less than 40%, the fixed-effects model was used for meta-analysis. Random-effects meta-analysis was chosen if the I2 value was greater than 40%. After removal of duplicates, 918 articles were identified, and 27 of them fulfilled the inclusion criteria. We included 22 eligible studies in the final meta-analysis. MS patients, in general, had considerably higher levels of OPN in their CSF and blood when compared to all types of controls (p<0.05). When the comparisons were made between different subtypes of MS patients and controls, the results pointed to significantly higher levels of OPN in CSF of MS subgroups (p<0.05). All subtypes of MS patients, except CIS patients, had increased blood levels of OPN compared to controls (p<0.05). In the second set of meta-analyses, we compared the peripheral blood and CSF concentrations of OPN between MS patient subtypes. CIS patients had significantly lower levels of OPN both in their peripheral blood and CSF compared to patients with progressive subtypes of MS (p<0.05). CSF concentration of OPN was significantly higher among RRMS patients compared to the CIS patients and SPMS patients (P<0.05). Finally, patients with active MS had significantly higher OPN levels in their CSF compared to patients with stable disease (P = 0.007). The result of this study confirms that increased levels of OPN exist in CSF and peripheral blood of MS patients and strengthens the evidence regarding the clinical utility of OPN as a promising and validated biomarker for MS.
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453
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Eisele P, Szabo K, Ebert A, Brueck W, Platten M, Gass A. Spatiotemporal evolution of venous narrowing in acute MS lesions. NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION 2018; 5:e440. [PMID: 29359176 PMCID: PMC5773855 DOI: 10.1212/nxi.0000000000000440] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/03/2017] [Accepted: 11/06/2017] [Indexed: 01/14/2023]
Abstract
Objective To investigate the spatiotemporal evolution of venous narrowing in newly developing MS lesions in a longitudinal MRI study including susceptibility-weighted images (SWIs). Methods We retrospectively investigated serial MR examinations of 18 patients with MS acquired on a 3T MRI system including SWI for acute contrast-enhancing lesions with at least 1 MRI examination before contrast enhancement. The mean diameter of veins at the time point of contrast enhancement was compared with the mean diameter of veins before and after contrast enhancement. Results A total of 40 acute contrast-enhancing lesions with a corresponding intralesional central vein were included in the study. The mean diameter of intralesional veins at the time of contrast enhancement (0.80 ± 0.12 mm) was smaller than that at before (1.16 ± 0.19 mm) and after contrast enhancement (1.07 ± 0.15 mm; p < 0.001 for all comparisons). Conclusions Our findings contribute to the increasing database of plaque development and evolution. The smaller diameter of intralesional veins on SWI at the time of blood-brain barrier breakdown may reflect morphologic changes because of perivascular inflammation and/or decreased levels of deoxygenated hemoglobin.
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Affiliation(s)
- Philipp Eisele
- Department of Neurology (P.E., K.S., A.E., M.P., A.G.), Universitätsmedizin Mannheim, University of Heidelberg, Mannheim; and Institute for Neuropathology (W.B.), Universitätsmedizin Göttingen, Germany
| | - Kristina Szabo
- Department of Neurology (P.E., K.S., A.E., M.P., A.G.), Universitätsmedizin Mannheim, University of Heidelberg, Mannheim; and Institute for Neuropathology (W.B.), Universitätsmedizin Göttingen, Germany
| | - Anne Ebert
- Department of Neurology (P.E., K.S., A.E., M.P., A.G.), Universitätsmedizin Mannheim, University of Heidelberg, Mannheim; and Institute for Neuropathology (W.B.), Universitätsmedizin Göttingen, Germany
| | - Wolfgang Brueck
- Department of Neurology (P.E., K.S., A.E., M.P., A.G.), Universitätsmedizin Mannheim, University of Heidelberg, Mannheim; and Institute for Neuropathology (W.B.), Universitätsmedizin Göttingen, Germany
| | - Michael Platten
- Department of Neurology (P.E., K.S., A.E., M.P., A.G.), Universitätsmedizin Mannheim, University of Heidelberg, Mannheim; and Institute for Neuropathology (W.B.), Universitätsmedizin Göttingen, Germany
| | - Achim Gass
- Department of Neurology (P.E., K.S., A.E., M.P., A.G.), Universitätsmedizin Mannheim, University of Heidelberg, Mannheim; and Institute for Neuropathology (W.B.), Universitätsmedizin Göttingen, Germany
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454
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Hagens MH, Burggraaff J, Kilsdonk ID, Ruggieri S, Collorone S, Cortese R, Cawley N, Sbardella E, Andelova M, Amann M, Lieb JM, Pantano P, Lissenberg-Witte BI, Killestein J, Oreja-Guevara C, Wuerfel J, Ciccarelli O, Gasperini C, Lukas C, Rovira A, Barkhof F, Wattjes MP. Impact of 3 Tesla MRI on interobserver agreement in clinically isolated syndrome: A MAGNIMS multicentre study. Mult Scler 2018; 25:352-360. [PMID: 29327668 PMCID: PMC6393953 DOI: 10.1177/1352458517751647] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Background: Compared to 1.5 T, 3 T magnetic resonance imaging (MRI) increases
signal-to-noise ratio leading to improved image quality. However, its
clinical relevance in clinically isolated syndrome suggestive of multiple
sclerosis remains uncertain. Objectives: The purpose of this study was to investigate how 3 T MRI affects the
agreement between raters on lesion detection and diagnosis. Methods: We selected 30 patients and 10 healthy controls from our ongoing prospective
multicentre cohort. All subjects received baseline 1.5 and 3 T brain and
spinal cord MRI. Patients also received follow-up brain MRI at 3–6 months.
Four experienced neuroradiologists and four less-experienced raters scored
the number of lesions per anatomical region and determined dissemination in
space and time (McDonald 2010). Results: In controls, the mean number of lesions per rater was 0.16 at 1.5 T and 0.38
at 3 T (p = 0.005). For patients, this was 4.18 and 4.40,
respectively (p = 0.657). Inter-rater agreement on
involvement per anatomical region and dissemination in space and time was
moderate to good for both field strengths. 3 T slightly improved agreement
between experienced raters, but slightly decreased agreement between
less-experienced raters. Conclusion: Overall, the interobserver agreement was moderate to good. 3 T appears to
improve the reading for experienced readers, underlining the benefit of
additional training.
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Affiliation(s)
- Marloes Hj Hagens
- Department of Neurology, MS Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Jessica Burggraaff
- Department of Neurology, MS Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Iris D Kilsdonk
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands/Department of Radiology and Nuclear Medicine, Onze Lieve Vrouwen Gasthuis, Amsterdam, The Netherlands
| | - Serena Ruggieri
- Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy/Department of Neurosciences, San Camillo-Forlanini Hospital, Rome, Italy
| | - Sara Collorone
- Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy/NMR Research Unit, Queen Square Multiple Sclerosis Centre, UCL Institute of Neurology, London, UK
| | - Rosa Cortese
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, UCL Institute of Neurology, London, UK; Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari, Bari, Italy
| | - Niamh Cawley
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, UCL Institute of Neurology, London, UK
| | - Emilia Sbardella
- Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy
| | - Michaela Andelova
- Department of Neurology, University Hospital Basel, Basel, Switzerland
| | - Michael Amann
- Department of Neurology, University Hospital Basel, Basel, Switzerland/Medical Image Analysis Center (MIAC), Basel, Switzerland/Division of Neuroradiology, Department of Radiology, University Hospital Basel, Basel, Switzerland
| | - Johanna M Lieb
- Division of Neuroradiology, Department of Radiology, University Hospital Basel, Basel, Switzerland
| | - Patrizia Pantano
- Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy/Istituto Neurologico Mediterraneo, Neuromed, Pozzilli, Italy
| | - Birgit I Lissenberg-Witte
- Department of Epidemiology and Biostatistics, VU University Medical Centre, Amsterdam, The Netherlands
| | - Joep Killestein
- Department of Neurology, MS Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | | | - Jens Wuerfel
- Medical Image Analysis Center (MIAC), Basel, Switzerland/NeuroCure, Charité - Berlin University of Medicine, Berlin, Germany/Department of Biomedical Engineering, University Hospital Basel, Basel, Switzerland
| | - Olga Ciccarelli
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, UCL Institute of Neurology, London, UK
| | - Claudio Gasperini
- Department of Neurosciences, San Camillo-Forlanini Hospital, Rome, Italy
| | - Carsten Lukas
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, St. Josef Hospital, Ruhr University, Bochum, Germany
| | - Alex Rovira
- Department of Radiology, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands/Institutes of Neurology and Healthcare Engineering, UCL Institute of Neurology, London, UK
| | - Mike P Wattjes
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
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455
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Do MRI Structured Reports for Multiple Sclerosis Contain Adequate Information for Clinical Decision Making? AJR Am J Roentgenol 2018; 210:24-29. [DOI: 10.2214/ajr.17.18451] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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456
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457
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Mantero V, Abate L, Balgera R, La Mantia L, Salmaggi A. Clinical Application of 2017 McDonald Diagnostic Criteria for Multiple Sclerosis. J Clin Neurol 2018; 14:387-392. [PMID: 29971979 PMCID: PMC6031991 DOI: 10.3988/jcn.2018.14.3.387] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Revised: 03/25/2018] [Accepted: 03/27/2018] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND AND PURPOSE McDonald criteria for multiple sclerosis diagnosis have been revised over the years, diagnostic procedures have been simplified and earlier diagnosis facilitated. The new 2017 revision introduces other important changes, with a further simplification for the diagnosis. Oligoclonal bands reassume a more relevant role in the workup. METHODS We describe 3 typical cases of patients admitted for clinically isolated syndrome and illustrate how the application of the new criteria can change the diagnostic approach with respect to the previous criteria. RESULTS In two of the three cases a diagnosis of multiple sclerosis is now possible. CONCLUSIONS The new 2017 Multiple Sclerosis criteria may have an important impact in clinical practice with an earlier treatment to avoid the risk of disease dissemination. Their application requires a careful assessment to avoid misdiagnosis and mistreatments.
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Affiliation(s)
- Vittorio Mantero
- Neurological Unit, MS Centre, A. Manzoni Hospital-ASST Lecco, Lecco, Italy.
| | - Lucia Abate
- Neurological Unit, ASST Valtellina Alto Lario, Sondrio, Italy
| | - Roberto Balgera
- Neurological Unit, MS Centre, A. Manzoni Hospital-ASST Lecco, Lecco, Italy
| | - Loredana La Mantia
- Unit of Neurorehabilitation, Multiple Sclerosis Center, I.R.C.C.S. Santa Maria Nascente-Fondazione Don Gnocchi, Milano, Italy
| | - Andrea Salmaggi
- Neurological Unit, MS Centre, A. Manzoni Hospital-ASST Lecco, Lecco, Italy
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458
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459
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Huh SY. The early diagnosis and treatments in multiple sclerosis. KOSIN MEDICAL JOURNAL 2017. [DOI: 10.7180/kmj.2017.32.2.151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
Multiple sclerosis (MS) is a chronic inflammatory demyelinating disorder of the central nervous system that leads to neurological disability. The diagnosis of MS relies on the MRI criteria, which can demonstrate dissemination in space and time. Exclusion of other demyelinating mimics is essential because there are no specific biomarker for MS and MRI criteria are still have imperfect. There is incremental improvements in MS treatment option that have contributed to the delay of disease progression. The early initiation of DMT may ameliorate the neurological disability. In this review, we discusses the new diagnostic MS criteria and summarize the evidences supporting the early treatment in the course of MS.
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460
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The evolution of "No Evidence of Disease Activity" in multiple sclerosis. Mult Scler Relat Disord 2017; 20:231-238. [PMID: 29579629 DOI: 10.1016/j.msard.2017.12.016] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2017] [Revised: 12/18/2017] [Accepted: 12/21/2017] [Indexed: 12/30/2022]
Abstract
The availability of effective therapies for patients with relapsing-remitting multiple sclerosis (RRMS) has prompted a re-evaluation of the most appropriate way to measure treatment response, both in clinical trials and clinical practice. Traditional parameters of treatment efficacy such as annualized relapse rate, magnetic resonance imaging (MRI) activity, and disability progression have an important place, but their relative merit is uncertain, and the role of other factors such as brain atrophy is still under study. More recently, composite measures such as "no evidence of disease activity" (NEDA) have emerged as new potential treatment targets, but NEDA itself has variable definitions, is not well validated, and may be hard to implement as a treatment goal in a clinical setting. We describe the development of NEDA as an outcome measure in MS, discuss definitions including NEDA-3 and NEDA-4, and review the strengths and limitations of NEDA, indicating where further research is needed.
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461
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Diagnosing multiple sclerosis: art and science. Lancet Neurol 2017; 17:109-111. [PMID: 29275980 DOI: 10.1016/s1474-4422(17)30461-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2017] [Accepted: 12/13/2017] [Indexed: 02/06/2023]
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462
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Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. Lancet Neurol 2017; 17:162-173. [PMID: 29275977 DOI: 10.1016/s1474-4422(17)30470-2] [Citation(s) in RCA: 4737] [Impact Index Per Article: 592.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2017] [Revised: 11/04/2017] [Accepted: 11/16/2017] [Indexed: 01/04/2023]
Abstract
The 2010 McDonald criteria for the diagnosis of multiple sclerosis are widely used in research and clinical practice. Scientific advances in the past 7 years suggest that they might no longer provide the most up-to-date guidance for clinicians and researchers. The International Panel on Diagnosis of Multiple Sclerosis reviewed the 2010 McDonald criteria and recommended revisions. The 2017 McDonald criteria continue to apply primarily to patients experiencing a typical clinically isolated syndrome, define what is needed to fulfil dissemination in time and space of lesions in the CNS, and stress the need for no better explanation for the presentation. The following changes were made: in patients with a typical clinically isolated syndrome and clinical or MRI demonstration of dissemination in space, the presence of CSF-specific oligoclonal bands allows a diagnosis of multiple sclerosis; symptomatic lesions can be used to demonstrate dissemination in space or time in patients with supratentorial, infratentorial, or spinal cord syndrome; and cortical lesions can be used to demonstrate dissemination in space. Research to further refine the criteria should focus on optic nerve involvement, validation in diverse populations, and incorporation of advanced imaging, neurophysiological, and body fluid markers.
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463
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Filippi M, Preziosa P, Meani A, Ciccarelli O, Mesaros S, Rovira A, Frederiksen J, Enzinger C, Barkhof F, Gasperini C, Brownlee W, Drulovic J, Montalban X, Cramer SP, Pichler A, Hagens M, Ruggieri S, Martinelli V, Miszkiel K, Tintorè M, Comi G, Dekker I, Uitdehaag B, Dujmovic-Basuroski I, Rocca MA. Prediction of a multiple sclerosis diagnosis in patients with clinically isolated syndrome using the 2016 MAGNIMS and 2010 McDonald criteria: a retrospective study. Lancet Neurol 2017; 17:133-142. [PMID: 29275979 DOI: 10.1016/s1474-4422(17)30469-6] [Citation(s) in RCA: 87] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2017] [Revised: 11/02/2017] [Accepted: 11/13/2017] [Indexed: 11/17/2022]
Abstract
BACKGROUND In 2016, the Magnetic Resonance Imaging in Multiple Sclerosis (MAGNIMS) network proposed modifications to the MRI criteria to define dissemination in space (DIS) and time (DIT) for the diagnosis of multiple sclerosis in patients with clinically isolated syndrome (CIS). Changes to the DIS definition included removal of the distinction between symptomatic and asymptomatic lesions, increasing the number of lesions needed to define periventricular involvement to three, combining cortical and juxtacortical lesions, and inclusion of optic nerve evaluation. For DIT, removal of the distinction between symptomatic and asymptomatic lesions was suggested. We compared the performance of the 2010 McDonald and 2016 MAGNIMS criteria for multiple sclerosis diagnosis in a large multicentre cohort of patients with CIS to provide evidence to guide revisions of multiple sclerosis diagnostic criteria. METHODS Brain and spinal cord MRI and optic nerve assessments from patients with typical CIS suggestive of multiple sclerosis done less than 3 months from clinical onset in eight European multiple sclerosis centres were included in this retrospective study. Eligible patients were 16-60 years, and had a first CIS suggestive of CNS demyelination and typical of relapsing-remitting multiple sclerosis, a complete neurological examination, a baseline brain and spinal cord MRI scan obtained less than 3 months from clinical onset, and a follow-up brain scan obtained less than 12 months from CIS onset. We recorded occurrence of a second clinical attack (clinically definite multiple sclerosis) at months 36 and 60. We evaluated MRI criteria performance for DIS, DIT, and DIS plus DIT with a time-dependent receiver operating characteristic curve analysis. FINDINGS Between June 16, 1995, and Jan 27, 2017, 571 patients with CIS were screened, of whom 368 met all study inclusion criteria. At the last evaluation (median 50·0 months [IQR 27·0-78·4]), 189 (51%) of 368 patients developed clinically definite multiple sclerosis. At 36 months, the two DIS criteria showed high sensitivity (2010 McDonald 0·91 [95% CI 0·85-0·94] and 2016 MAGNIMS 0·93 [0·88-0·96]), similar specificity (0·33 [0·25-0·42] and 0·32 [0·24-0·41]), and similar area under the curve values (AUC; 0·62 [0·57-0·67] and 0·63 [0·58-0·67]). Performance was not affected by inclusion of symptomatic lesions (sensitivity 0·92 [0·87-0·96], specificity 0·31 [0·23-0·40], AUC 0·62 [0·57-0·66]) or cortical lesions (sensitivity 0·92 [0·87-0·95], specificity 0·32 [0·24-0·41], AUC 0·62 [0·57-0·67]). Requirement of three periventricular lesions resulted in slightly lower sensitivity (0·85 [0·78-0·90], slightly higher specificity (0·40 [0·32-0·50], and similar AUC (0·63 [0·57-0·68]). Inclusion of optic nerve evaluation resulted in similar sensitivity (0·92 [0·87-0·96]), and slightly lower specificity (0·26 [0·18-0·34]) and AUC (0·59 [0·55-0·64]). AUC values were also similar for DIT (2010 McDonald 0·61 [0·55-0·67] and 2016 MAGNIMS 0·61 [0·55-0·66]) and DIS plus DIT (0·62 [0·56-0·67] and 0·64 [0·58-0·69]). INTERPRETATION The 2016 MAGNIMS criteria showed similar accuracy to the 2010 McDonald criteria in predicting the development of clinically definite multiple sclerosis. Inclusion of symptomatic lesions is expected to simplify the clinical use of MRI criteria without reducing accuracy, and our findings suggest that needing three lesions to define periventricular involvement might slightly increase specificity, suggesting that these two factors could be considered during further revisions of multiple sclerosis diagnostic criteria. FUNDING UK MS Society, National Institute for Health Research University College London Hospitals Biomedical Research Centre, Dutch MS Research Foundation.
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Affiliation(s)
- Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.
| | - Paolo Preziosa
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Alessandro Meani
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Olga Ciccarelli
- Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, University College London, London, UK; National Institute for Health Research University College London Hospitals Biomedical Research Centre, London, UK
| | - Sarlota Mesaros
- Clinic of Neurology, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Alex Rovira
- Section of Neuroradiology, Department of Radiology, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Jette Frederiksen
- Clinic of Optic Neuritis and Clinic of Multiple Sclerosis, Department of Neurology, Rigshospitalet Glostrup, University of Copenhagen, Copenhagen, Denmark
| | | | - Frederik Barkhof
- Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, University College London, London, UK; National Institute for Health Research University College London Hospitals Biomedical Research Centre, London, UK; Department of Radiology and Nuclear Medicine, MS Center Amsterdam, VU University Medical Center, Amsterdam, Netherlands
| | - Claudio Gasperini
- Department of Neurosciences, San Camillo Forlanini Hospital, Rome, Italy
| | - Wallace Brownlee
- Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, University College London, London, UK; National Institute for Health Research University College London Hospitals Biomedical Research Centre, London, UK
| | - Jelena Drulovic
- Clinic of Neurology, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Xavier Montalban
- Unitat de Neuroimmunologia Clinica, Centre d'Esclerosi Múltiple de Catalunya (CEM-Cat), Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Stig P Cramer
- Functional Imaging Unit, Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, Copenhagen, Denmark
| | | | - Marloes Hagens
- Department of Neurology, MS Center Amsterdam, VU University Medical Center, Amsterdam, Netherlands
| | - Serena Ruggieri
- Department of Neurosciences, San Camillo Forlanini Hospital, Rome, Italy
| | - Vittorio Martinelli
- Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Katherine Miszkiel
- Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, University College London, London, UK; National Institute for Health Research University College London Hospitals Biomedical Research Centre, London, UK
| | - Mar Tintorè
- Unitat de Neuroimmunologia Clinica, Centre d'Esclerosi Múltiple de Catalunya (CEM-Cat), Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Giancarlo Comi
- Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Iris Dekker
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, VU University Medical Center, Amsterdam, Netherlands; Department of Neurology, MS Center Amsterdam, VU University Medical Center, Amsterdam, Netherlands
| | - Bernard Uitdehaag
- Department of Neurology, MS Center Amsterdam, VU University Medical Center, Amsterdam, Netherlands
| | | | - Maria A Rocca
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
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464
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Refining the use of MRI to predict multiple sclerosis. Lancet Neurol 2017; 17:105-106. [PMID: 29275978 DOI: 10.1016/s1474-4422(17)30459-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Accepted: 12/11/2017] [Indexed: 11/21/2022]
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465
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Abstract
Multiple sclerosis (MS) is a progressive demyelinating and degenerative disease of the central nervous system with symptoms depending on the disease type and the site of lesions and is featured by heterogeneity of clinical expressions and responses to treatment strategies. An individualized clinical follow-up and multidisciplinary treatment is required. Transforming the population-based management of today into an individualized, personalized and precision-level management is a major goal in research. Indeed, a complex and unique interplay between genetic background and environmental exposure in each case likely determines clinical heterogeneity. To reach insights at the individual level, extensive amount of data are required. Many databases have been developed over the last few decades, but access to them is limited, and data are acquired in different ways and differences in definitions and indexing and software platforms preclude direct integration. Most existing (inter)national registers and IT platforms are strictly observational or focus on disease epidemiology or access to new disease modifying drugs. Here, a method to revolutionize management of MS to a personalized, individualized and precision level is outlined. The key to achieve this next level is FAIR data.
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Affiliation(s)
- Liesbet M Peeters
- Biomedical Research Institute, Hasselt University and School of Life Sciences, Transnationale Universiteit Limburg, Diepenbeek, Belgium
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466
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Svenningsson A, Ciccarelli O. Cortico-juxtacortical and periventricular lesions and MS diagnostic criteria. Neurology 2017; 89:2308-2309. [DOI: 10.1212/wnl.0000000000004725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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467
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Arru G, Sechi E, Mariotto S, Farinazzo A, Mancinelli C, Alberti D, Ferrari S, Gajofatto A, Capra R, Monaco S, Deiana GA, Caggiu E, Mameli G, Sechi LA, Sechi GP. Antibody response against HERV-W env surface peptides differentiates multiple sclerosis and neuromyelitis optica spectrum disorder. Mult Scler J Exp Transl Clin 2017; 3:2055217317742425. [PMID: 29204291 PMCID: PMC5703109 DOI: 10.1177/2055217317742425] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2017] [Accepted: 10/21/2017] [Indexed: 11/16/2022] Open
Abstract
Background A specific humoral immune response against HERV-W envelope surface (env-su) glycoprotein antigens has been reported in serum of patients with multiple sclerosis (MS). However, it has not been evaluated to date in patients with neuromyelitis optica spectrum disorder (NMOSD). Objective The objective of this paper is to investigate whether antibody (Ab) response against HERV-W env-su antigenic peptides differs between NMOSD and MS. Methods Serum samples were collected from 36 patients with NMOSD, 36 patients with MS and 36 healthy control individuals (HCs). An indirect ELISA was set up to detect specific Abs against HERV-W env-su peptides. Results Our data showed that two antigenic peptides, particularly HERV-Wenv93–108 and HERV-Wenv248–262, were statistically significantly present only in serum of MS compared to NMOSD and HCs. Thus, the specific humoral immune response against HERV-W env-su glycoprotein antigens found in MS is widely missing in NMOSD. Conclusion Increased circulating serum levels of these HERV-W Abs may be suitable as additional biomarkers to better differentiate MS from NMOSD.
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Affiliation(s)
- Giannina Arru
- Department of Clinical and Experimental Medicine, University of Sassari, Italy
| | - Elia Sechi
- Department of Clinical and Experimental Medicine, University of Sassari, Italy
| | - Sara Mariotto
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Italy
| | - Alessia Farinazzo
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Italy
| | - Chiara Mancinelli
- Multiple Sclerosis Centre, Spedali Civili of Brescia, Montichiari, Italy
| | - Daniela Alberti
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Italy
| | - Sergio Ferrari
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Italy
| | - Alberto Gajofatto
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Italy
| | - Ruggero Capra
- Multiple Sclerosis Centre, Spedali Civili of Brescia, Montichiari, Italy
| | - Salvatore Monaco
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Italy
| | - Giovanni A Deiana
- Department of Clinical and Experimental Medicine, University of Sassari, Italy
| | - Elisa Caggiu
- Department of Biomedical Sciences, University of Sassari, Italy
| | - Giuseppe Mameli
- Department of Biomedical Sciences, University of Sassari, Italy
| | | | - Gian Pietro Sechi
- Department of Clinical and Experimental Medicine, University of Sassari, Italy
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468
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A supervised framework with intensity subtraction and deformation field features for the detection of new T2-w lesions in multiple sclerosis. NEUROIMAGE-CLINICAL 2017; 17:607-615. [PMID: 29234597 PMCID: PMC5716954 DOI: 10.1016/j.nicl.2017.11.015] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/14/2017] [Revised: 11/07/2017] [Accepted: 11/14/2017] [Indexed: 12/02/2022]
Abstract
Introduction Longitudinal magnetic resonance imaging (MRI) analysis has an important role in multiple sclerosis diagnosis and follow-up. The presence of new T2-w lesions on brain MRI scans is considered a prognostic and predictive biomarker for the disease. In this study, we propose a supervised approach for detecting new T2-w lesions using features from image intensities, subtraction values, and deformation fields (DF). Methods One year apart multi-channel brain MRI scans were obtained for 60 patients, 36 of them with new T2-w lesions. Images from both temporal points were preprocessed and co-registered. Afterwards, they were registered using multi-resolution affine registration, allowing their subtraction. In particular, the DFs between both images were computed with the Demons non-rigid registration algorithm. Afterwards, a logistic regression model was trained with features from image intensities, subtraction values, and DF operators. We evaluated the performance of the model following a leave-one-out cross-validation scheme. Results In terms of detection, we obtained a mean Dice similarity coefficient of 0.77 with a true-positive rate of 74.30% and a false-positive detection rate of 11.86%. In terms of segmentation, we obtained a mean Dice similarity coefficient of 0.56. The performance of our model was significantly higher than state-of-the-art methods. Conclusions The performance of the proposed method shows the benefits of using DF operators as features to train a supervised learning model. Compared to other methods, the proposed model decreases the number of false-positives while increasing the number of true-positives, which is relevant for clinical settings. A new framework for detecting new T2-w lesions in multiple sclerosis is proposed. We train logistic regression classifier with subtraction and deformation features. We analyze the effect of deformation field operators on detecting new T2-w lesions. We show an increase in the accuracy due to the addition of deformation fields. The proposed model decreases false-positives while increasing true-positives.
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469
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470
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Wong SSM, Cheung JSW, Lee TWK, Tsai CSC, Ng AWH. CT brain artefact due to air bubbles in the oil cooling system: characteristic band-like configuration on sagittal reformatted image. Jpn J Radiol 2017; 36:90-95. [PMID: 29119455 DOI: 10.1007/s11604-017-0702-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Accepted: 10/31/2017] [Indexed: 11/28/2022]
Abstract
PURPOSE To retrospectively review the imaging characteristics of CT artefacts due to air bubbles within the oil cooling system of the X-ray tube housing. MATERIALS AND METHODS Air bubbles were introduced into the oil cooling system of the X-ray tube housing during tube replacement in one of the CT scanners in the authors' institution. All 126 CT brain studies performed in this period were retrospectively reviewed. One hundred and four studies were negative for artefacts. Artefacts were confirmed in 5 and considered probable in 17 studies, respectively. The imaging characteristics of artefacts in these 22 cases were analysed. RESULTS All artefacts manifested as ill-defined hypoattenuations in the periventricular/subcortical white matter of bilateral cerebral hemispheres with/without involvement of the internal capsule and basal ganglia. The posterior fossa was also involved in two (40%) confirmed and four (24%) probable studies. A band-like configuration of hypoattenuations on sagittal images was observed in five (100%) confirmed and eight (47%) probable studies. CONCLUSION Air bubble artefacts manifested as hypoattenuations in the periventricular/subcortical white matter of the supratentorial brain. A characteristic band-like configuration was observed in the sagittal reformatted image, which is useful for differentiating it from periventricular small vessel disease.
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Affiliation(s)
- Simon Sin Man Wong
- Department of Imaging and Interventional Radiology, Prince of Wales Hospital, Hong Kong Special Administrative Region, People's Republic of China.
| | - James Siu Wai Cheung
- Department of Imaging and Interventional Radiology, Prince of Wales Hospital, Hong Kong Special Administrative Region, People's Republic of China
| | - Tom Wai Kin Lee
- Department of Imaging and Interventional Radiology, Prince of Wales Hospital, Hong Kong Special Administrative Region, People's Republic of China
| | - Chris Siu Chun Tsai
- Department of Imaging and Interventional Radiology, Prince of Wales Hospital, Hong Kong Special Administrative Region, People's Republic of China
| | - Alex Wing Hung Ng
- Department of Imaging and Interventional Radiology, Prince of Wales Hospital, Hong Kong Special Administrative Region, People's Republic of China
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471
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Lycke J, Zetterberg H. The role of blood and CSF biomarkers in the evaluation of new treatments against multiple sclerosis. Expert Rev Clin Immunol 2017; 13:1143-1153. [PMID: 29090607 DOI: 10.1080/1744666x.2017.1400380] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
INTRODUCTION Multiple sclerosis (MS) is an immune-mediated chronic neurodegenerative disease of the central nervous system (CNS). Therapeutic interventions with immunomodulatory agents reduce disease activity and disability development, which are monitored clinically and by magnetic resonance imaging (MRI). However, these measures largely lack information on the impact from these therapies on inflammation, demyelination and axonal injury, the essential pathophysiological features of MS. Several biomarkers for inflammation and neurodegeneration have been detected in cerebrospinal fluid (CSF). In MS, some of these biomarkers seem to reflect disease activity, disability progression, and therapeutic response. Areas covered: In this review, we describe the most promising CSF biomarkers of inflammation and degeneration for monitoring therapeutic interventions in MS. We also describe the evolution of highly sensitive immunoassays that enable determination of neuron-specific biomarkers in blood. Expert commentary: Together with clinical and MRI measures, CSF biomarkers may improve the assessment of therapeutic efficacy and make personalized treatment possible. One disadvantage has been the need of repetitive lumbar punctures to obtain CSF. However, the technical development of highly sensitive immunoassays allows determination of extremely low quantities of neuron-specific proteins in blood. This will potentially open a new era for monitoring disease activity and treatment response in MS.
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Affiliation(s)
- Jan Lycke
- a Department of Clinical Neuroscience, Institute of Neuroscience and Physiology , The Sahlgrenska Academy, University of Gothenburg , Gothenburg , Sweden
| | - Henrik Zetterberg
- b Department of Psychiatry and Neurochemistry; Institute of Neuroscience and Physiology at Sahlgrenska Academy , University of Gothenburg , Gothenburg , Sweden.,c Clinical Neurochemistry Laboratory , Sahlgrenska University Hospital , Mölndal , Sweden.,d Department of Molecular Neuroscience , UCL Institute of Neurology , London , UK.,e UK Dementia Research Institute , London , UK
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472
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Granberg T, Fan Q, Treaba CA, Ouellette R, Herranz E, Mangeat G, Louapre C, Cohen-Adad J, Klawiter EC, Sloane JA, Mainero C. In vivo characterization of cortical and white matter neuroaxonal pathology in early multiple sclerosis. Brain 2017; 140:2912-2926. [PMID: 29053798 DOI: 10.1093/brain/awx247] [Citation(s) in RCA: 117] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2016] [Accepted: 08/05/2017] [Indexed: 12/12/2022] Open
Abstract
Neuroaxonal pathology is a main determinant of disease progression in multiple sclerosis; however, its underlying pathophysiological mechanisms, including its link to inflammatory demyelination and temporal occurrence in the disease course are still unknown. We used ultra-high field (7 T), ultra-high gradient strength diffusion and T1/T2-weighted myelin-sensitive magnetic resonance imaging to characterize microstructural changes in myelin and neuroaxonal integrity in the cortex and white matter in early stage multiple sclerosis, their distribution in lesional and normal-appearing tissue, and their correlations with neurological disability. Twenty-six early stage multiple sclerosis subjects (disease duration ≤5 years) and 24 age-matched healthy controls underwent 7 T T2*-weighted imaging for cortical lesion segmentation and 3 T T1/T2-weighted myelin-sensitive imaging and neurite orientation dispersion and density imaging for assessing microstructural myelin, axonal and dendrite integrity in lesional and normal-appearing tissue of the cortex and the white matter. Conventional mean diffusivity and fractional anisotropy metrics were also assessed for comparison. Cortical lesions were identified in 92% of early multiple sclerosis subjects and they were characterized by lower intracellular volume fraction (P = 0.015 by paired t-test), lower myelin-sensitive contrast (P = 0.030 by related-samples Wilcoxon signed-rank test) and higher mean diffusivity (P = 0.022 by related-samples Wilcoxon signed-rank test) relative to the contralateral normal-appearing cortex. Similar findings were observed in white matter lesions relative to normal-appearing white matter (all P < 0.001), accompanied by an increased orientation dispersion (P < 0.001 by paired t-test) and lower fractional anisotropy (P < 0.001 by related-samples Wilcoxon signed-rank test) suggestive of less coherent underlying fibre orientation. Additionally, the normal-appearing white matter in multiple sclerosis subjects had diffusely lower intracellular volume fractions than the white matter in controls (P = 0.029 by unpaired t-test). Cortical thickness did not differ significantly between multiple sclerosis subjects and controls. Higher orientation dispersion in the left primary motor-somatosensory cortex was associated with increased Expanded Disability Status Scale scores in surface-based general linear modelling (P < 0.05). Microstructural pathology was frequent in early multiple sclerosis, and present mainly focally in cortical lesions, whereas more diffusely in white matter. These results suggest early demyelination with loss of cells and/or cell volumes in cortical and white matter lesions, with additional axonal dispersion in white matter lesions. In the cortex, focal lesion changes might precede diffuse atrophy with cortical thinning. Findings in the normal-appearing white matter reveal early axonal pathology outside inflammatory demyelinating lesions.
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Affiliation(s)
- Tobias Granberg
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.,Harvard Medical School, Cambridge, MA, USA.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.,Department of Radiology, Karolinska University Hospital, Stockholm, Sweden
| | - Qiuyun Fan
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.,Harvard Medical School, Cambridge, MA, USA
| | - Constantina Andrada Treaba
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.,Harvard Medical School, Cambridge, MA, USA
| | - Russell Ouellette
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Elena Herranz
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.,Harvard Medical School, Cambridge, MA, USA
| | - Gabriel Mangeat
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.,NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montréal, Montreal, QC, Canada
| | - Céline Louapre
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.,Harvard Medical School, Cambridge, MA, USA
| | - Julien Cohen-Adad
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.,NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montréal, Montreal, QC, Canada
| | - Eric C Klawiter
- Harvard Medical School, Cambridge, MA, USA.,Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Jacob A Sloane
- Harvard Medical School, Cambridge, MA, USA.,Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Caterina Mainero
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.,Harvard Medical School, Cambridge, MA, USA
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473
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Oh J, Bakshi R, Calabresi PA, Crainiceanu C, Henry RG, Nair G, Papinutto N, Constable RT, Reich DS, Pelletier D, Rooney W, Schwartz D, Tagge I, Shinohara RT, Simon JH, Sicotte NL. The NAIMS cooperative pilot project: Design, implementation and future directions. Mult Scler 2017; 24:1770-1772. [PMID: 29106329 DOI: 10.1177/1352458517739990] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The North American Imaging in Multiple Sclerosis (NAIMS) Cooperative represents a network of 27 academic centers focused on accelerating the pace of magnetic resonance imaging (MRI) research in multiple sclerosis (MS) through idea exchange and collaboration. Recently, NAIMS completed its first project evaluating the feasibility of implementation and reproducibility of quantitative MRI measures derived from scanning a single MS patient using a high-resolution 3T protocol at seven sites. The results showed the feasibility of utilizing advanced quantitative MRI measures in multicenter studies and demonstrated the importance of careful standardization of scanning protocols, central image processing, and strategies to account for inter-site variability.
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Affiliation(s)
- Jiwon Oh
- Division of Neurology, University of Toronto, Toronto, ON, Canada/Department of Neurology and Neurosurgery, Johns Hopkins University, Baltimore, MD, USA
| | - Rohit Bakshi
- Laboratory for Neuroimaging Research, Partners Multiple Sclerosis Center, Departments of Neurology and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Peter A Calabresi
- Department of Neurology and Neurosurgery, Johns Hopkins University, Baltimore, MD, USA
| | - Ciprian Crainiceanu
- Department of Neurology and Neurosurgery, Johns Hopkins University, Baltimore, MD, USA
| | - Roland G Henry
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Govind Nair
- Translational Neuroradiology Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Rockville, MD, USA
| | - Nico Papinutto
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - R Todd Constable
- Departments of Diagnostic Radiology and Neurosurgery, Yale University, New Haven, CT, USA
| | - Daniel S Reich
- Translational Neuroradiology Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Rockville, MD, USA
| | - Daniel Pelletier
- Department of Neurology, University of Southern California, Los Angeles, CA, USA
| | - William Rooney
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, USA
| | - Daniel Schwartz
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, USA
| | - Ian Tagge
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, USA
| | - Russell T Shinohara
- Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jack H Simon
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, USA
| | - Nancy L Sicotte
- Department of Neurology, Cedars-Sinai Medical Center, The North American Imaging in Multiple Sclerosis (NAIMS), Los Angeles, CA, USA
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474
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Arrambide G, Tintore M, Auger C, Río J, Castilló J, Vidal-Jordana A, Galán I, Nos C, Comabella M, Mitjana R, Mulero P, de Barros A, Rodríguez-Acevedo B, Midaglia L, Sastre-Garriga J, Rovira A, Montalban X. Lesion topographies in multiple sclerosis diagnosis: A reappraisal. Neurology 2017; 89:2351-2356. [PMID: 29101276 PMCID: PMC5719929 DOI: 10.1212/wnl.0000000000004715] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2017] [Accepted: 08/30/2017] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVES To assess the contributions of cortico-juxtacortical and corpus callosum lesions to multiple sclerosis diagnosis and to compare the value of ≥1 vs ≥3 periventricular lesions in clinically isolated syndromes (CIS). METHODS Step 1: We evaluated lesion topography classifications in 657 patients with CIS with stepwise Cox proportional hazards regression models considering second attack as the outcome. Step 2: We established 2 dissemination in space (DIS) versions according to the periventricular lesion cutoffs of ≥1 and ≥3 and assessed their performance at 10 years with second attack as the outcome, first individually and then combined with dissemination in time (DIT) in all cases (n = 326), by age, and by CIS topography. RESULTS Step 1: The models (hazard ratios [95% confidence interval]) favored ≥1 over ≥3 periventricular lesions (2.5 [1.7-3.6]) and cortico-juxtacortical over juxtacortical lesions (1.4 [1.0-1.8]). Callosal lesions were not selected. Step 2: DIS specificity with ≥1 periventricular lesions was slightly lower than with ≥3 (59.1 vs 61.4) and the same after adding DIT (88.6). Regarding age, ≥3 periventricular lesions improved DIS specificity over ≥1 lesions in the 40-49 years of age bracket (66.7 vs 58.3). This difference disappeared when adding DIT (83.3). Optic neuritis had a similar pattern when evaluating CIS topographies. CONCLUSIONS Our results comply with the Magnetic Resonance Imaging in Multiple Sclerosis (MAGNIMS) consensus recommendation of combining cortical and juxtacortical lesions into a single term when possible. Concerning periventricular lesions, maintaining the current ≥1 cutoff in the McDonald criteria does not compromise specificity in typical CIS cases, but attention should be paid to older patients or optic neuritis cases.
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Affiliation(s)
- Georgina Arrambide
- From Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (CEMCAT) (G.A., M.T., J.R., J.C., A.V.-J., I.G., C.N., M.C., P.M., B.R.-A., L.M., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (IDI) (C.A., R.M., A.d.B., A.R.), Vall d'Hebron Institut de Recerca, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital, University of Toronto, Canada
| | - Mar Tintore
- From Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (CEMCAT) (G.A., M.T., J.R., J.C., A.V.-J., I.G., C.N., M.C., P.M., B.R.-A., L.M., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (IDI) (C.A., R.M., A.d.B., A.R.), Vall d'Hebron Institut de Recerca, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital, University of Toronto, Canada
| | - Cristina Auger
- From Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (CEMCAT) (G.A., M.T., J.R., J.C., A.V.-J., I.G., C.N., M.C., P.M., B.R.-A., L.M., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (IDI) (C.A., R.M., A.d.B., A.R.), Vall d'Hebron Institut de Recerca, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital, University of Toronto, Canada
| | - Jordi Río
- From Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (CEMCAT) (G.A., M.T., J.R., J.C., A.V.-J., I.G., C.N., M.C., P.M., B.R.-A., L.M., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (IDI) (C.A., R.M., A.d.B., A.R.), Vall d'Hebron Institut de Recerca, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital, University of Toronto, Canada
| | - Joaquín Castilló
- From Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (CEMCAT) (G.A., M.T., J.R., J.C., A.V.-J., I.G., C.N., M.C., P.M., B.R.-A., L.M., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (IDI) (C.A., R.M., A.d.B., A.R.), Vall d'Hebron Institut de Recerca, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital, University of Toronto, Canada
| | - Angela Vidal-Jordana
- From Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (CEMCAT) (G.A., M.T., J.R., J.C., A.V.-J., I.G., C.N., M.C., P.M., B.R.-A., L.M., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (IDI) (C.A., R.M., A.d.B., A.R.), Vall d'Hebron Institut de Recerca, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital, University of Toronto, Canada
| | - Ingrid Galán
- From Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (CEMCAT) (G.A., M.T., J.R., J.C., A.V.-J., I.G., C.N., M.C., P.M., B.R.-A., L.M., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (IDI) (C.A., R.M., A.d.B., A.R.), Vall d'Hebron Institut de Recerca, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital, University of Toronto, Canada
| | - Carlos Nos
- From Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (CEMCAT) (G.A., M.T., J.R., J.C., A.V.-J., I.G., C.N., M.C., P.M., B.R.-A., L.M., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (IDI) (C.A., R.M., A.d.B., A.R.), Vall d'Hebron Institut de Recerca, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital, University of Toronto, Canada
| | - Manuel Comabella
- From Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (CEMCAT) (G.A., M.T., J.R., J.C., A.V.-J., I.G., C.N., M.C., P.M., B.R.-A., L.M., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (IDI) (C.A., R.M., A.d.B., A.R.), Vall d'Hebron Institut de Recerca, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital, University of Toronto, Canada
| | - Raquel Mitjana
- From Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (CEMCAT) (G.A., M.T., J.R., J.C., A.V.-J., I.G., C.N., M.C., P.M., B.R.-A., L.M., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (IDI) (C.A., R.M., A.d.B., A.R.), Vall d'Hebron Institut de Recerca, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital, University of Toronto, Canada
| | - Patricia Mulero
- From Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (CEMCAT) (G.A., M.T., J.R., J.C., A.V.-J., I.G., C.N., M.C., P.M., B.R.-A., L.M., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (IDI) (C.A., R.M., A.d.B., A.R.), Vall d'Hebron Institut de Recerca, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital, University of Toronto, Canada
| | - Andrea de Barros
- From Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (CEMCAT) (G.A., M.T., J.R., J.C., A.V.-J., I.G., C.N., M.C., P.M., B.R.-A., L.M., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (IDI) (C.A., R.M., A.d.B., A.R.), Vall d'Hebron Institut de Recerca, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital, University of Toronto, Canada
| | - Breogán Rodríguez-Acevedo
- From Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (CEMCAT) (G.A., M.T., J.R., J.C., A.V.-J., I.G., C.N., M.C., P.M., B.R.-A., L.M., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (IDI) (C.A., R.M., A.d.B., A.R.), Vall d'Hebron Institut de Recerca, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital, University of Toronto, Canada
| | - Luciana Midaglia
- From Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (CEMCAT) (G.A., M.T., J.R., J.C., A.V.-J., I.G., C.N., M.C., P.M., B.R.-A., L.M., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (IDI) (C.A., R.M., A.d.B., A.R.), Vall d'Hebron Institut de Recerca, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital, University of Toronto, Canada
| | - Jaume Sastre-Garriga
- From Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (CEMCAT) (G.A., M.T., J.R., J.C., A.V.-J., I.G., C.N., M.C., P.M., B.R.-A., L.M., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (IDI) (C.A., R.M., A.d.B., A.R.), Vall d'Hebron Institut de Recerca, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital, University of Toronto, Canada
| | - Alex Rovira
- From Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (CEMCAT) (G.A., M.T., J.R., J.C., A.V.-J., I.G., C.N., M.C., P.M., B.R.-A., L.M., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (IDI) (C.A., R.M., A.d.B., A.R.), Vall d'Hebron Institut de Recerca, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital, University of Toronto, Canada
| | - Xavier Montalban
- From Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (CEMCAT) (G.A., M.T., J.R., J.C., A.V.-J., I.G., C.N., M.C., P.M., B.R.-A., L.M., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (IDI) (C.A., R.M., A.d.B., A.R.), Vall d'Hebron Institut de Recerca, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital, University of Toronto, Canada.
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475
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Yılmaz Ü, Anlar B, Gücüyener K, Cansu A, Ünalp A, Aksoy A, Bayram AK, Kartal A, Tosun A, Serdaroğlu A, Konuşkan B, Sarıoğlu B, Yüzbaşı BK, Kılıç B, Taşkın BD, Bulut C, Yılmaz C, Yarar C, Okuyaz Ç, Gençsel Ç, Yüksel D, Arslan EA, Gürkaş E, Faruk incecik, Serdaroğlu G, Deda G, Gürbüz G, Gümüş H, Acer H, Tekgül H, Çaksen H, Per H, Erol İ, Çarman KB, Canpolat M, Özkan M, Direk MÇ, Kutluk MG, Arslan M, Sönmez FM, Dündar NO, Koçak O, Aydın ÖF, Toptaş Ö, Duman Ö, Hergüner Ö, Bozkurt Ö, Arıcan P, Yılmaz S, Gökben S, Işıkay S, Kumandaş S, Edizer S, Kurul SH, Saygı S, Teber S, Güngör S, Altunbaşak Ş, Haspolat Ş, Sezer T, Yılmaz TS, Yiş U, Öztoprak Ü, Aydoğmuş Ü, Topçu Y, Öztürk Z, Karalök ZS. Characteristics of pediatric multiple sclerosis: The Turkish pediatric multiple sclerosis database. Eur J Paediatr Neurol 2017; 21:864-872. [PMID: 28694135 DOI: 10.1016/j.ejpn.2017.06.004] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2016] [Revised: 05/26/2017] [Accepted: 06/20/2017] [Indexed: 01/04/2023]
Abstract
OBJECTIVE To document the clinical and paraclinical features of pediatric multiple sclerosis (MS) in Turkey. METHODS Data of MS patients with onset before age 18 years (n = 193) were collected from 27 pediatric neurology centers throughout Turkey. Earlier-onset (<12 years) and later-onset (≥12 years) groups were compared. RESULTS There were 123 (63.7%) girls and 70 (36.3%) boys aged 4-17 years, median 14 years at disease onset. Family history of MS was 6.5%. The first presentation was polysymptomatic in 55.4% of patients, with brainstem syndromes (50.3%), sensory disturbances (44%), motor symptoms (33.2%), and optic neuritis (26.4%) as common initial manifestations. Nineteen children had facial paralysis and 10 had epileptic seizures at first attack; 21 (11%) were initially diagnosed with acute disseminated encephalomyelitis (ADEM). Oligoclonal bands were identified in 68% of patients. Magnetic resonance imaging revealed periventricular (96%), cortical/juxtacortical (64.2%), brainstem (63%), cerebellum (51.4%), and spinal cord (67%) involvement. Visual evoked potentials (VEP) were abnormal in 52%; serum 25-hydroxyvitamin D levels were low in 68.5% of patients. The earlier-onset group had a higher rate of infection/vaccination preceding initial attack, initial diagnosis of ADEM, longer interval between first 2 attacks, and more disability accumulating in the first 3 years of the disease. CONCLUSION Brainstem and cerebellum are common sites of clinical and radiological involvement in pediatric-onset MS. VEP abnormalities are frequent even in patients without history of optic neuropathy. Vitamin D status does not appear to affect the course in early disease. MS beginning before 12 years of age has certain characteristics in history and course.
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Affiliation(s)
- Ünsal Yılmaz
- Department of Pediatric Neurology, Dr. Behçet Uz Children's Hospital, İzmir, Turkey.
| | - Banu Anlar
- Department of Pediatric Neurology, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Kıvılcım Gücüyener
- Department of Pediatric Neurology, Gazi University Faculty of Medicine, Ankara, Turkey
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476
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Schippling S. MRI for multiple sclerosis diagnosis and prognosis. Neurodegener Dis Manag 2017; 7:27-29. [DOI: 10.2217/nmt-2017-0038] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Affiliation(s)
- Sven Schippling
- Neuroimmunology & Multiple Sclerosis Research, Department of Neurology, University Hospital Zurich & University of Zurich, Frauenklinikstrasse 26, 8091 Zurich, Switzerland
- Center for Neuroscience Zurich, Federal Institute of Technology (ETH), Zurich, Switzerland
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477
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Tintoré M, Montalban X. The optic nerve should be included as one of the typical CNS regions for establishing dissemination in space when diagnosing MS - No. Mult Scler 2017; 24:123-125. [PMID: 29059000 DOI: 10.1177/1352458517729451] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Mar Tintoré
- Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Servei de Neurologia/Neuroimmunologia, Hospital Universitari Vall d'Hebron, Edifici Cemcat, Barcelona, Spain
| | - Xavier Montalban
- Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Department of Neurology/Neuroimmunology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain/Division of Neurology, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
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478
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Barkhof F. The optic nerve should be included as one of the typical CNS regions for establishing dissemination in space when diagnosing MS - Commentary. Mult Scler 2017; 24:125-126. [PMID: 29058994 DOI: 10.1177/1352458517738060] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
- Frederik Barkhof
- Institutes of Neurology and Biomedical Engineering, University College London (UCL), London, UK/ Departments of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands
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479
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STrategically Acquired Gradient Echo (STAGE) imaging, part I: Creating enhanced T1 contrast and standardized susceptibility weighted imaging and quantitative susceptibility mapping. Magn Reson Imaging 2017; 46:130-139. [PMID: 29056394 DOI: 10.1016/j.mri.2017.10.005] [Citation(s) in RCA: 72] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2017] [Revised: 10/16/2017] [Accepted: 10/18/2017] [Indexed: 01/07/2023]
Abstract
PURPOSE To provide whole brain grey matter (GM) to white matter (WM) contrast enhanced T1W (T1WE) images, multi-echo quantitative susceptibility mapping (QSM), proton density (PD) weighted images, T1 maps, PD maps, susceptibility weighted imaging (SWI), and R2* maps with minimal misregistration in scanning times <5min. METHODS Strategically acquired gradient echo (STAGE) imaging includes two fully flow compensated double echo gradient echo acquisitions with a resolution of 0.67×1.33×2.0mm3 acquired in 5min for 64 slices. Ten subjects were recruited and scanned at 3 Tesla. The optimum pair of flip angles (6° and 24° with TR=25ms at 3T) were used for both T1 mapping with radio frequency (RF) transmit field correction and creating enhanced GM/WM contrast (the T1WE). The proposed T1WE image was created from a combination of the proton density weighted (6°, PDW) and T1W (24°) images and corrected for RF transmit field variations. Prior to the QSM calculation, a multi-echo phase unwrapping strategy was implemented using the unwrapped short echo to unwrap the longer echo to speed up computation. R2* maps were used to mask deep grey matter and veins during the iterative QSM calculation. A weighted-average sum of susceptibility maps was generated to increase the signal-to-noise ratio (SNR) and the contrast-to-noise ratio (CNR). RESULTS The proposed T1WE image has a significantly improved CNR both for WM to deep GM and WM to cortical GM compared to the acquired T1W image (the first echo of 24° scan) and the T1MPRAGE image. The weighted-average susceptibility maps have 80±26%, 55±22%, 108±33% SNR increases across the ten subjects compared to the single echo result of 17.5ms for the putamen, caudate nucleus, and globus pallidus, respectively. CONCLUSIONS STAGE imaging offers the potential to create a standardized brain imaging protocol providing four pieces of quantitative tissue property information and multiple types of qualitative information in just 5min.
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480
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Palle P, Monaghan KL, Milne SM, Wan ECK. Cytokine Signaling in Multiple Sclerosis and Its Therapeutic Applications. Med Sci (Basel) 2017; 5:medsci5040023. [PMID: 29099039 PMCID: PMC5753652 DOI: 10.3390/medsci5040023] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2017] [Revised: 10/06/2017] [Accepted: 10/11/2017] [Indexed: 12/26/2022] Open
Abstract
Multiple sclerosis (MS) is one of the most common neurological disorders in young adults. The etiology of MS is not known but it is widely accepted that it is autoimmune in nature. Disease onset is believed to be initiated by the activation of CD4+ T cells that target autoantigens of the central nervous system (CNS) and their infiltration into the CNS, followed by the expansion of local and infiltrated peripheral effector myeloid cells that create an inflammatory milieu within the CNS, which ultimately lead to tissue damage and demyelination. Clinical studies have shown that progression of MS correlates with the abnormal expression of certain cytokines. The use of experimental autoimmune encephalomyelitis (EAE) model further delineates the role of these cytokines in neuroinflammation and the therapeutic potential of manipulating their biological activity in vivo. In this review, we will first present an overview on cytokines that may contribute to the pathogenesis of MS or EAE, and provide successful examples and roadblock of translating data obtained from EAE to MS. We will then focus in depth on recent findings that demonstrate the pathological role of granulocyte-macrophage colony-stimulating factor (GM-CSF) in MS and EAE, and briefly discuss the potential of targeting effector myeloid cells as a treatment strategy for MS.
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Affiliation(s)
- Pushpalatha Palle
- Department of Microbiology, Immunology, and Cell Biology, West Virginia University School of Medicine, Morgantown, WV 26506, USA.
- Center for Basic and Translational Stroke Research and the Center for Neurodegenerative Diseases, Blanchette Rockefeller Neurosciences Institute, West Virginia University School of Medicine, Morgantown, WV 26506, USA.
| | - Kelly L Monaghan
- Department of Microbiology, Immunology, and Cell Biology, West Virginia University School of Medicine, Morgantown, WV 26506, USA.
- Center for Basic and Translational Stroke Research and the Center for Neurodegenerative Diseases, Blanchette Rockefeller Neurosciences Institute, West Virginia University School of Medicine, Morgantown, WV 26506, USA.
| | - Sarah M Milne
- Department of Microbiology, Immunology, and Cell Biology, West Virginia University School of Medicine, Morgantown, WV 26506, USA.
- Center for Basic and Translational Stroke Research and the Center for Neurodegenerative Diseases, Blanchette Rockefeller Neurosciences Institute, West Virginia University School of Medicine, Morgantown, WV 26506, USA.
| | - Edwin C K Wan
- Department of Microbiology, Immunology, and Cell Biology, West Virginia University School of Medicine, Morgantown, WV 26506, USA.
- Center for Basic and Translational Stroke Research and the Center for Neurodegenerative Diseases, Blanchette Rockefeller Neurosciences Institute, West Virginia University School of Medicine, Morgantown, WV 26506, USA.
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481
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Abstract
Neuroradiology with computed tomography (CT) and magnetic resonance imaging (MRI) is essential for the initial evaluation of patients with a clinical suspicion of brain and spine disorders. Morphologic imaging is required to obtain a probable diagnosis to support the treatment decisions in pre- and perinatal disorders, vascular diseases, traumatic injuries, metabolic disorders, epilepsy, infection/inflammation, neurodegenerative disorders, degenerative spinal disease, and tumors of the central nervous system. Different postprocessing tools are increasingly used for three-dimensional visualization and quantification of lesions. Additional information is provided by angiographic methods and physiologic CT and MRI techniques, such as diffusion MRI, perfusion CT/MRI, MR spectroscopy, functional MRI, tractography, and nuclear medicine imaging methods. Positron emission tomography (PET) is now integrated with CT (PET/CT), and PET/MR scanners have recently also been introduced. These hybrid techniques facilitate the co-registration of lesions with different modalities, and give new possibilites for functional imaging. Repeated imaging is increasingly performed for treatment monitoring. The improved imaging techniques together with the neuropathologic diagnosis after biopsy or surgery allow more personalized treatment of the patient. Neuroradiology also includes endovascular treatment of aneurysms and arteriovenous malformations as well as thrombectomy in acute stroke. This catheter-based treatment has replaced invasive neurosurgery in many cases.
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482
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Coric D, Balk LJ, Uitdehaag BMJ, Petzold A. Diagnostic accuracy of optical coherence tomography inter-eye percentage difference for optic neuritis in multiple sclerosis. Eur J Neurol 2017; 24:1479-1484. [DOI: 10.1111/ene.13443] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2017] [Accepted: 08/31/2017] [Indexed: 11/30/2022]
Affiliation(s)
- D. Coric
- Department of Neurology; VU University Medical Center Amsterdam; Amsterdam the Netherlands
- Expertise-Center Neuro-Ophthalmology; VU University Medical Center Amsterdam; Amsterdam the Netherlands
| | - L. J. Balk
- Department of Neurology; VU University Medical Center Amsterdam; Amsterdam the Netherlands
- Expertise-Center Neuro-Ophthalmology; VU University Medical Center Amsterdam; Amsterdam the Netherlands
| | - B. M. J. Uitdehaag
- Department of Neurology; VU University Medical Center Amsterdam; Amsterdam the Netherlands
| | - A. Petzold
- Department of Neurology; VU University Medical Center Amsterdam; Amsterdam the Netherlands
- Expertise-Center Neuro-Ophthalmology; VU University Medical Center Amsterdam; Amsterdam the Netherlands
- Moorfields Eye Hospital; London UK
- The National Hospital for Neurology and Neurosurgery; Queen Square London UK
- UCL; Institute of Neurology; London UK
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483
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Freedman MS, Leist TP, Comi G, Cree BA, Coyle PK, Hartung HP, Vermersch P, Damian D, Dangond F. The efficacy of cladribine tablets in CIS patients retrospectively assigned the diagnosis of MS using modern criteria: Results from the ORACLE-MS study. Mult Scler J Exp Transl Clin 2017; 3:2055217317732802. [PMID: 29051829 PMCID: PMC5637982 DOI: 10.1177/2055217317732802] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2017] [Accepted: 08/07/2017] [Indexed: 11/15/2022] Open
Abstract
Background Multiple sclerosis (MS) diagnostic criteria have changed since the ORACLE-MS study was conducted; 223 of 616 patients (36.2%) would have met the diagnosis of MS vs clinically isolated syndrome (CIS) using the newer criteria. Objective The objective of this paper is to assess the effect of cladribine tablets in patients with a first clinical demyelinating attack fulfilling newer criteria (McDonald 2010) for MS vs CIS. Methods A post hoc analysis for subgroups of patients retrospectively classified as fulfilling or not fulfilling newer criteria at the first clinical demyelinating attack was conducted. Results Cladribine tablets 3.5 mg/kg (n = 68) reduced the risk of next attack or three-month confirmed Expanded Disability Status Scale (EDSS) worsening by 74% vs placebo (n = 72); p = 0.0009 in patients meeting newer criteria for MS at baseline. Cladribine tablets 5.25 mg/kg (n = 83) reduced the risk of next attack or three-month confirmed EDSS worsening by 37%, but nominal significance was not reached (p = 0.14). In patients who were still CIS after applying newer criteria, cladribine tablets 3.5 mg/kg (n = 138) reduced the risk of conversion to clinically definite multiple sclerosis (CDMS) by 63% vs placebo (n = 134); p = 0.0003. Cladribine tablets 5.25 mg/kg (n = 121) reduced the risk of conversion by 75% vs placebo (n = 134); p < 0.0001. Conclusions Regardless of the criteria used to define CIS or MS, 3.5 mg/kg cladribine tablets are effective in patients with a first clinical demyelinating attack. ClinicalTrials.gov registration: The ORACLE-MS study (NCT00725985).
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Affiliation(s)
- Mark S Freedman
- Department of Medicine (Neurology), University of Ottawa and the Ottawa Hospital Research Institute, Canada
| | - Thomas P Leist
- Division of Clinical Neuroimmunology, Thomas Jefferson University, USA
| | - Giancarlo Comi
- Department of Neurology and Institute of Experimental Neurology, Università Vita-Salute San Raffaele, Ospedale San Raffaele, Italy
| | | | | | - Hans-Peter Hartung
- Department of Neurology, Heinrich Heine University, Medical Faculty, Germany
| | - Patrick Vermersch
- University of Lille, CHU Lille, LIRIC-INSERM U995, FHU Imminent, France
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484
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Sandoval-Rodríguez V, Cansino-Torres MA, Sáenz-Farret M, Castañeda-Cisneros G, Moreno G, Zúñiga-Ramírez C. Autosomal dominant leukodystrophy presenting as Alzheimer's-type dementia. Mult Scler Relat Disord 2017; 17:230-233. [PMID: 29055464 DOI: 10.1016/j.msard.2017.08.014] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2016] [Revised: 08/14/2017] [Accepted: 08/21/2017] [Indexed: 12/13/2022]
Abstract
Autosomal dominant leukodystrophy is a neurodegenerative disorder caused by either point mutations or duplication of the lamin B1 gene on chromosome 5q23. The typical clinical picture consists of autonomic symptoms as well as cerebellar and pyramidal signs. Here we present the case of a 57-year-old female referred to our clinic due to cognitive decline. Neurological examination was significant for cognitive impairment as well as pyramidal and cerebellar signs. Brain MRI displayed diffuse hyperintense lesions in the subcortical white matter, pontine nuclei, brachium pontis and restiform body. The diagnosis was confirmed via genetic testing. Autosomal dominant leukodystrophy should be included in the differential diagnosis of patients presenting with cognitive impairment, motor signs, and leukodystrophy-like images.
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Affiliation(s)
- Valeria Sandoval-Rodríguez
- Movement Disorders and Neurodegenerative Diseases Unit, Hospital Civil de Guadalajara, "Fray Antonio Alcalde," Hospital, 278 Col. El Retiro, 44280 Guadalajara, Mexico
| | - Mariana Aurora Cansino-Torres
- Movement Disorders and Neurodegenerative Diseases Unit, Hospital Civil de Guadalajara, "Fray Antonio Alcalde," Hospital, 278 Col. El Retiro, 44280 Guadalajara, Mexico
| | - Michel Sáenz-Farret
- Movement Disorders and Neurodegenerative Diseases Unit, Hospital Civil de Guadalajara, "Fray Antonio Alcalde," Hospital, 278 Col. El Retiro, 44280 Guadalajara, Mexico
| | - Gema Castañeda-Cisneros
- Department of Medical Neurogenetics, Genomic Markers, Av. México 3370, 44690 Guadalajara, Mexico
| | - Gabriel Moreno
- Department of Neurology, University of California Davis Medical Center, One Shields Avenue, 95616 Davis, United States
| | - Carlos Zúñiga-Ramírez
- Movement Disorders and Neurodegenerative Diseases Unit, Hospital Civil de Guadalajara, "Fray Antonio Alcalde," Hospital, 278 Col. El Retiro, 44280 Guadalajara, Mexico.
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485
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Mahajan KR, Ontaneda D. The Role of Advanced Magnetic Resonance Imaging Techniques in Multiple Sclerosis Clinical Trials. Neurotherapeutics 2017; 14:905-923. [PMID: 28770481 PMCID: PMC5722766 DOI: 10.1007/s13311-017-0561-8] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Magnetic resonance imaging has been crucial in the development of anti-inflammatory disease-modifying treatments. The current landscape of multiple sclerosis clinical trials is currently expanding to include testing not only of anti-inflammatory agents, but also neuroprotective, remyelinating, neuromodulating, and restorative therapies. This is especially true of therapies targeting progressive forms of the disease where neurodegeneration is a prominent feature. Imaging techniques of the brain and spinal cord have rapidly evolved in the last decade to permit in vivo characterization of tissue microstructural changes, connectivity, metabolic changes, neuronal loss, glial activity, and demyelination. Advanced magnetic resonance imaging techniques hold significant promise for accelerating the development of different treatment modalities targeting a variety of pathways in MS.
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Affiliation(s)
- Kedar R Mahajan
- Mellen Center for Multiple Sclerosis Treatment and Research, Cleveland Clinic, 9500 Euclid Avenue, U-10, Cleveland, OH, 44195, USA
| | - Daniel Ontaneda
- Mellen Center for Multiple Sclerosis Treatment and Research, Cleveland Clinic, 9500 Euclid Avenue, U-10, Cleveland, OH, 44195, USA.
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486
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Makhani N, Lebrun C, Siva A, Brassat D, Carra Dallière C, de Seze J, Du W, Durand Dubief F, Kantarci O, Langille M, Narula S, Pelletier J, Rojas JI, Shapiro ED, Stone RT, Tintoré M, Uygunoglu U, Vermersch P, Wassmer E, Okuda DT, Pelletier D. Radiologically isolated syndrome in children: Clinical and radiologic outcomes. NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION 2017; 4:e395. [PMID: 28959703 PMCID: PMC5614726 DOI: 10.1212/nxi.0000000000000395] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Accepted: 07/07/2017] [Indexed: 11/20/2022]
Abstract
Objective: To describe clinical and radiologic outcomes of children with incidental findings on neuroimaging suggestive of CNS demyelination (termed “radiologically isolated syndrome” or RIS). Methods: Clinical and radiologic data were obtained from a historical cohort of children with no symptoms of demyelinating disease who had MRI scans that met the 2010 MRI criteria for dissemination in space for MS. Results: We identified 38 children (27 girls and 11 boys) with RIS now being prospectively followed at 16 sites in 6 countries. The mean follow-up time was 4.8 ± 5.3 years. The most common reason for initial neuroimaging was headache (20/38, 53%). A first clinical event consistent with CNS demyelination occurred in 16/38 children (42%; 95% confidence interval [CI]: 27%–60%) in a median of 2.0 years (interquartile range [IQR] 1.0–4.3 years). Radiologic evolution developed in 23/38 children (61%; 95% CI: 44%–76%) in a median of 1.1 years (IQR 0.5–1.9 years). The presence of ≥2 unique oligoclonal bands in CSF (hazard ratio [HR] 10.9, 95% CI: 1.4–86.2, p = 0.02) and spinal cord lesions on MRI (HR 7.8, 95% CI: 1.4–43.6, p = 0.02) were associated with an increased risk of a first clinical event after adjustment for age and sex. Conclusions: We describe the clinical characteristics and outcomes of children with incidental MRI findings highly suggestive of CNS demyelination. Children with RIS had a substantial risk of subsequent clinical symptoms and/or radiologic evolution. The presence of oligoclonal bands in CSF and spinal cord lesions on MRI were associated with an increased risk of a first clinical event.
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Affiliation(s)
- Naila Makhani
- Author affiliations are provided at the end of the article
| | | | - Aksel Siva
- Author affiliations are provided at the end of the article
| | - David Brassat
- Author affiliations are provided at the end of the article
| | | | - Jérôme de Seze
- Author affiliations are provided at the end of the article
| | - Wei Du
- Author affiliations are provided at the end of the article
| | | | - Orhun Kantarci
- Author affiliations are provided at the end of the article
| | - Megan Langille
- Author affiliations are provided at the end of the article
| | - Sona Narula
- Author affiliations are provided at the end of the article
| | - Jean Pelletier
- Author affiliations are provided at the end of the article
| | | | | | - Robert T Stone
- Author affiliations are provided at the end of the article
| | - Mar Tintoré
- Author affiliations are provided at the end of the article
| | - Ugur Uygunoglu
- Author affiliations are provided at the end of the article
| | | | | | - Darin T Okuda
- Author affiliations are provided at the end of the article
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487
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Rogers DM, Peckham ME, Shah LM, Wiggins RH. Association of Developmental Venous Anomalies with Demyelinating Lesions in Patients with Multiple Sclerosis. AJNR Am J Neuroradiol 2017; 39:97-101. [PMID: 28912286 DOI: 10.3174/ajnr.a5374] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2017] [Accepted: 07/12/2017] [Indexed: 11/07/2022]
Abstract
We present 5 cases of demyelination in patients diagnosed with multiple sclerosis that are closely associated with a developmental venous anomaly. Although the presence of a central vein is a known phenomenon with multiple sclerosis plaques, demyelination occurring around developmental venous anomalies is an underreported phenomenon. Tumefactive demyelination can cause a diagnostic dilemma because of its overlapping imaging findings with central nervous system neoplasm. The relationship of a tumefactive plaque with a central vein can be diagnostically useful, and we suggest that if such a lesion is closely associated with a developmental venous anomaly, an inflammatory or demyelinating etiology should be a leading consideration.
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Affiliation(s)
- D M Rogers
- From the Department of Radiology and Imaging Science, University of Utah Medical Center, Salt Lake City, Utah.
| | - M E Peckham
- From the Department of Radiology and Imaging Science, University of Utah Medical Center, Salt Lake City, Utah
| | - L M Shah
- From the Department of Radiology and Imaging Science, University of Utah Medical Center, Salt Lake City, Utah
| | - R H Wiggins
- From the Department of Radiology and Imaging Science, University of Utah Medical Center, Salt Lake City, Utah
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488
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Yamout B, Al Khawajah M. Radiologically isolated syndrome and multiple sclerosis. Mult Scler Relat Disord 2017; 17:234-237. [PMID: 29055465 DOI: 10.1016/j.msard.2017.08.016] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2017] [Revised: 08/19/2017] [Accepted: 08/21/2017] [Indexed: 12/01/2022]
Abstract
BACKGROUND Incidental white matter lesions (WML) are increasingly seen on brain magnetic resonance imaging (MRI) in clinical practice. Demyelination consistent with MS is seen in 0.1-0.7% of the population as evident by autopsy and MRI studies. The term radiologically isolated syndrome (RIS) was coined to define a subgroup of patients with demyelinating lesions highly suggestive of multiple sclerosis (MS). The Okuda criteria for diagnosing RIS help in stratifying the risk of conversion to MS but RIS is still not considered a distinct MS phenotype. METHODS The authors reviewed the current literature on diagnostic criteria, natural history and treatment indications in RIS, to assess the challenges faced in diagnosing and treating such patients in clinical practice. RESULTS Typically, one-third of patients convert to clinically definite MS within 5 years, with some progressing directly into primary progressive MS (PPMS). The main risk factors for conversion are: age < 37 years, male gender and presence of spinal cord lesions. Patients with RIS have evidence of early axonal loss, brain atrophy, cognitive deficits, increased anxiety and depression, and subclinical inflammatory disease. CONCLUSION Patients with RIS at high risk of clinical conversion might be considered for treatment, although this is still a controversial issue. Prospective follow-up of RIS patients by an MS specialist is recommended.
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Affiliation(s)
- B Yamout
- Nehme & Therese Tohme MS Center at the American University of Beirut Medical Center, Lebanon.
| | - M Al Khawajah
- Neurosciences Department of King Faisal Specialist Hospital and Research Center (KFSHRC-R), Al Faisal University, Riyadh, Saudi Arabia.
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489
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490
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Thaler C, Schneider T, Sedlacik J, Kutzner D, Stellmann JP, Heesen C, Fiehler J, Siemonsen S. T1w dark blood imaging improves detection of contrast enhancing lesions in multiple sclerosis. PLoS One 2017; 12:e0183099. [PMID: 28797082 PMCID: PMC5552307 DOI: 10.1371/journal.pone.0183099] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2017] [Accepted: 07/29/2017] [Indexed: 11/18/2022] Open
Abstract
PURPOSE In multiple sclerosis (MS) the sensitivity for detection of contrast enhancing lesions (CEL) in T1-weighted scans is essential for diagnostics and therapy decisions. The purpose of our study was to evaluate the sensitivity of T1w MPRAGE scans in comparison to T1w dark blood technique (T1-DB) for CEL in MS. MATERIALS AND METHODS 3T MR imaging was performed in 37 MS patients, including T2-weighted imaging, T1w MPRAGE before and after gadolinium injection (unenhanced-T1 and T1-CE) and T1-DB imaging. After gadolinium application, the T1-DB scan was performed prior to T1-CE. From unenhanced-T1 and T1-CE scans, subtraction images (T1-SUB) were calculated. The number of CEL was determined separately on T1-CE and T1-DB by two raters independently. Lesions only detected on T1-DB scans then were verified on T1-SUB. Only lesions detected by both raters were included in further analysis. RESULTS In 16 patients, at least one CEL was detected by both rater, either on T1-CE or T1-DB. All lesions that were detected on T1-CE were also detected on T1-DB images. The total number of contrast enhancing lesions detected on T1-DB images (n = 54) by both raters was significantly higher than the corresponding number of lesions identified on T1-CE (n = 27) (p = 0.01); all of these lesions could be verified on SUB images. In 21 patients, no CEL was detected in any of the sequences. CONCLUSIONS The application of T1-DB technique increases the sensitivity for CEL in MS, especially for those lesions that show only subtle increase in intensity after Gadolinium application but remain hypo- or iso-intense to surrounding tissue.
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Affiliation(s)
- Christian Thaler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
- * E-mail:
| | - Tanja Schneider
- Department of Diagnostic and Interventional Neuroradiology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Jan Sedlacik
- Department of Diagnostic and Interventional Neuroradiology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Daniel Kutzner
- Department of Diagnostic and Interventional Neuroradiology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Jan-Patrick Stellmann
- Department of Neurology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
- Institute for Neuroimmunology and Clinical MS Research, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Christoph Heesen
- Department of Neurology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
- Institute for Neuroimmunology and Clinical MS Research, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Susanne Siemonsen
- Department of Diagnostic and Interventional Neuroradiology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
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491
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Kassubek R, Gorges M, Schocke M, Hagenston VAM, Huss A, Ludolph AC, Kassubek J, Tumani H. GFAP in early multiple sclerosis: A biomarker for inflammation. Neurosci Lett 2017; 657:166-170. [PMID: 28802830 DOI: 10.1016/j.neulet.2017.07.050] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Revised: 07/17/2017] [Accepted: 07/27/2017] [Indexed: 12/22/2022]
Abstract
OBJECTIVE The role of Glial Fibrillic Acidic Protein (GFAP) as a potential biomarker for relapsing-remitting multiple sclerosis (RRMS) and clinically isolated syndrome (CIS) has been controversially discussed. The aim was to characterize the added value of GFAP levels in the CSF of RRMS and CIS patients in correlation with MRI lesion load. MATERIALS & METHODS GFAP levels in the CSF from 18 patients with RRMS, 8 patients with CIS and 35 controls were analyzed together with MRI data for acute and chronic inflammatory lesion load. RESULTS GFAP levels of patients vs. controls were higher (p=0.005), while there was no difference between GFAP levels in RRMS and CIS. There was no correlation between the number of supra- or infratentorial gadolinium enhancing lesions and GFAP levels, while there was a correlation between GFAP levels with infratentorial chronic inflammatory lesion load (p=0.0035). Most importantly, a highly significant correlation could be observed between GFAP levels and the intensity of gadolinium-enhancement as a parameter for the acute activity of inflammatory processes (p=0.0002). CONCLUSIONS GFAP seems to be a useful biomarker for highly active acute inflammation in patients with RRMS as well as with CIS.
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Affiliation(s)
| | - Martin Gorges
- Department of Neurology, University of Ulm, Ulm, Germany
| | - Michael Schocke
- Department of Radiology and Neuroradiology, University and Rehabilitation Hospital Ulm, Ulm, Germany
| | | | - André Huss
- Department of Neurology, University of Ulm, Ulm, Germany
| | | | - Jan Kassubek
- Department of Neurology, University of Ulm, Ulm, Germany
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492
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Clinical relevance of transient smartphone blindness. Can J Ophthalmol 2017; 52:425-426. [DOI: 10.1016/j.jcjo.2017.02.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2017] [Accepted: 02/24/2017] [Indexed: 11/24/2022]
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493
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Lascano AM, Lalive PH, Hardmeier M, Fuhr P, Seeck M. Clinical evoked potentials in neurology: a review of techniques and indications. J Neurol Neurosurg Psychiatry 2017; 88:688-696. [PMID: 28235778 DOI: 10.1136/jnnp-2016-314791] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2016] [Revised: 01/27/2017] [Accepted: 02/01/2017] [Indexed: 01/11/2023]
Abstract
Evoked potentials (EPs) are a powerful and cost-effective tool for evaluating the integrity and function of the central nervous system. Although imaging techniques, such as MRI, have recently become increasingly important in the diagnosis of neurological diseases, over the past 30 years, many neurologists have continued to employ EPs in specific clinical applications. This review presents an overview of the recent evolution of 'classical' clinical applications of EPs in terms of early diagnosis and disease monitoring and is an extension of a previous review published in this journal in 2005 by Walsh and collaborators. We also provide an update on emerging EPs based on gustatory, olfactory and pain stimulation that may be used as clinically relevant markers of neurodegenerative disorders such as Parkinson's disease, Alzheimer's disease and cortical or peripheral impaired pain perception. EPs based on multichannel electroencephalography recordings, known as high-density EPs, help to better differentiate between healthy subjects and patients and, moreover, they provide valuable spatial information regarding the site of the lesion. EPs are reliable disease-progression biomarkers of several neurological diseases, such as multiple sclerosis and other demyelinating disorders. Overall, EPs are excellent neurophysiological tools that will expand standard clinical practice in modern neurology.
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Affiliation(s)
- Agustina M Lascano
- Department of Clinical Neurosciences, Division of Neurology, Faculty of Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - Patrice H Lalive
- Department of Clinical Neurosciences, Division of Neurology, Faculty of Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - Martin Hardmeier
- Department of Neurology, University Hospital Basel, Basel, Switzerland
| | - Peter Fuhr
- Department of Neurology, University Hospital Basel, Basel, Switzerland
| | - Margitta Seeck
- Department of Clinical Neurosciences, Division of Neurology, Faculty of Medicine, Geneva University Hospitals, Geneva, Switzerland
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494
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Wiggermann V, Hametner S, Hernández-Torres E, Kames C, Endmayr V, Kasprian G, Höftberger R, Li DKB, Traboulsee A, Rauscher A. Susceptibility-sensitive MRI of multiple sclerosis lesions and the impact of normal-appearing white matter changes. NMR IN BIOMEDICINE 2017; 30:e3727. [PMID: 28470768 DOI: 10.1002/nbm.3727] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2016] [Revised: 02/24/2017] [Accepted: 03/01/2017] [Indexed: 06/07/2023]
Abstract
Susceptibility-sensitive magnetic resonance imaging (MRI) has gained importance in multiple sclerosis (MS) research because of its versatility, high resolution and excellent sensitivity to changes in tissue structure and composition. In particular, mapping of the resonance frequency of the MR signal and quantitative susceptibility mapping (QSM) have been explored for the description of MS lesions. Many current studies utilizing these techniques attribute increases in the MR frequency or QSM to elevated tissue iron content, in addition to myelin loss. However, this common interpretation is inconsistent with recent histopathological studies. Here, we investigate the nature of MR frequency shifts related to MS lesions by comparing post-mortem MRI data with histology, and contrast them with numerical simulations of the MR signal. We demonstrate that iron accumulation is not the driving source of the MR frequency or QSM image contrast in our sample; rather, most chronic MS lesions are characterized by advanced loss of both myelin and iron. Moreover, our results suggest that the appearance of MS lesions on MR frequency maps and QSM depends on changes in the non-lesional white matter surrounding the lesions. Understanding and accounting for these changes is essential for the quantitative interpretation of MR frequency or QSM data in white matter.
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Affiliation(s)
- Vanessa Wiggermann
- Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Pediatrics (Division of Neurology), University of British Columbia, Vancouver, British Columbia, Canada
- UBC MRI Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
| | - Simon Hametner
- Center for Brain Research, Medical University of Vienna, Vienna, Austria
| | - Enedino Hernández-Torres
- Department of Pediatrics (Division of Neurology), University of British Columbia, Vancouver, British Columbia, Canada
- UBC MRI Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
| | - Christian Kames
- UBC MRI Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Engineering Physics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Verena Endmayr
- Center for Brain Research, Medical University of Vienna, Vienna, Austria
| | - Gregor Kasprian
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Romana Höftberger
- Institute of Neurology, Medical University of Vienna, Vienna, Austria
| | - David K B Li
- UBC MRI Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
- Faculty of Medicine (Division of Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - Anthony Traboulsee
- Faculty of Medicine (Division of Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - Alexander Rauscher
- Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Pediatrics (Division of Neurology), University of British Columbia, Vancouver, British Columbia, Canada
- UBC MRI Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
- Child and Family Research Institute, University of British Columbia, Vancouver, British Columbia, Canada
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495
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Eichinger P, Wiestler H, Zhang H, Biberacher V, Kirschke JS, Zimmer C, Mühlau M, Wiestler B. A novel imaging technique for better detecting new lesions in multiple sclerosis. J Neurol 2017; 264:1909-1918. [PMID: 28756606 DOI: 10.1007/s00415-017-8576-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Revised: 07/20/2017] [Accepted: 07/21/2017] [Indexed: 12/24/2022]
Abstract
We developed a tool that performs longitudinal subtraction of 3D double inversion recovery (DIR) images in follow-up magnetic resonance (MR) examinations of patients with multiple sclerosis. As DIR sequences show a high lesion-to-parenchyma contrast, we hypothesized that such a tool might lead to increased sensitivity for new lesions as well as to speeding up the routine clinical work-up of follow-up MR imaging in multiple sclerosis by directly visualizing new lesions. DIR subtraction images of serial MR examinations were calculated in 106 patients with multiple sclerosis. Existence of new lesions was assessed in three different ways: by standard visual comparison, by FLAIR, and by DIR subtraction maps. A reference standard, to which the single modalities were compared, was defined by combining all information from all readouts and all readers. The presence and number of new lesions were determined and the time needed for analysis measured. Accuracy of detecting overall existence of new lesions using DIR subtraction maps was significantly higher than using visual comparison (96 vs. 86%, p = 0.013) or FLAIR subtraction maps (p < 0.001), with increased sensitivity and higher negative predictive value. Significantly more new lesions were detected when using DIR subtraction maps (p < 0.001). Analyzing subtraction maps took less than a third of the time needed for the standard visual comparison (p = 0.007). Thus, DIR subtraction maps improve the detection of new lesions in a clinical setting both in terms of accuracy and in terms of speed.
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Affiliation(s)
- Paul Eichinger
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Straße 22, 81675, Munich, Germany.
| | - Hanni Wiestler
- Department of Psychiatry and Psychotherapy, Isar-Amper-Klinikum München-Ost, Vockestraße 72, 85540, Haar, Germany
| | - Haike Zhang
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Straße 22, 81675, Munich, Germany
| | - Viola Biberacher
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Straße 22, 81675, Munich, Germany.,TUM-NIC, NeuroImaging Center, Klinikum rechts der Isar, Technische Universität München, Ismaninger Straße 22, 81675, Munich, Germany
| | - Jan S Kirschke
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Straße 22, 81675, Munich, Germany
| | - Claus Zimmer
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Straße 22, 81675, Munich, Germany
| | - Mark Mühlau
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Straße 22, 81675, Munich, Germany.,TUM-NIC, NeuroImaging Center, Klinikum rechts der Isar, Technische Universität München, Ismaninger Straße 22, 81675, Munich, Germany
| | - Benedikt Wiestler
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Straße 22, 81675, Munich, Germany
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496
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Eichinger P, Kirschke JS, Hoshi MM, Zimmer C, Mühlau M, Riederer I. Pre- and Postcontrast 3D Double Inversion Recovery Sequence in Multiple Sclerosis: A Simple and Effective MR Imaging Protocol. AJNR Am J Neuroradiol 2017; 38:1941-1945. [PMID: 28751518 DOI: 10.3174/ajnr.a5329] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2017] [Accepted: 06/02/2017] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE The double inversion recovery sequence is known to be very sensitive and specific for MS-related lesions. Our aim was to compare the sensitivity of pre- and postcontrast images of 3D double inversion recovery and conventional 3D T1-weighted images for the detection of contrast-enhancing MS-related lesions in the brain to analyze whether double inversion recovery could be as effective as T1WI. MATERIALS AND METHODS A postcontrast 3D double inversion recovery sequence was acquired in addition to the standard MR imaging protocol at 3T, including pre- and postcontrast 3D T1WI sequences as well as precontrast double inversion recovery of 45 consecutive patients with MS or clinically isolated syndrome between June and December 2013. Two neuroradiologists independently assessed precontrast, postcontrast, and subtraction images of double inversion recovery as well as T1WI to count the number of contrast-enhancing lesions. Afterward, a consensus reading was performed. Lin concordance was calculated between both radiologists, and differences in lesion detectability were assessed with the Student t test. Additionally, the contrast-to-noise ratio was calculated. RESULTS Significantly more contrast-enhancing lesions could be detected with double inversion recovery compared with T1WI (16%, 214 versus 185, P = .007). The concordance between both radiologists was almost perfect (ρc = 0.94 for T1WI and ρc = 0.98 for double inversion recovery, respectively). The contrast-to-noise ratio was significantly higher in double inversion recovery subtraction images compared with T1-weighted subtraction images (double inversion recovery, 14.3 ± 5.5; T1WI, 6.3 ± 7.1; P < .001). CONCLUSIONS Pre- and postcontrast double inversion recovery enables better detection of contrast-enhancing lesions in MS in the brain compared with T1WI and may be considered an alternative to the standard MR imaging protocol.
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Affiliation(s)
- P Eichinger
- From the Department of Neuroradiology (P.E., J.S.K., C.Z., I.R.)
| | - J S Kirschke
- From the Department of Neuroradiology (P.E., J.S.K., C.Z., I.R.)
| | - M-M Hoshi
- Department of Neurology (M.-M.H., M.M.)
| | - C Zimmer
- From the Department of Neuroradiology (P.E., J.S.K., C.Z., I.R.)
| | - M Mühlau
- Department of Neurology (M.-M.H., M.M.).,Neuroimaging Center (M.M.)
| | - I Riederer
- From the Department of Neuroradiology (P.E., J.S.K., C.Z., I.R.) .,Department of Radiology (I.R.), Klinikum rechts der Isar, Technische Universität München, Munich, Germany
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497
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Neuroimaging Techniques to Assess Inflammation in Multiple Sclerosis. Neuroscience 2017; 403:4-16. [PMID: 28764938 DOI: 10.1016/j.neuroscience.2017.07.055] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2017] [Revised: 07/21/2017] [Accepted: 07/21/2017] [Indexed: 01/07/2023]
Abstract
Multiple Sclerosis (MS) is a chronic neurological disease that represents a leading cause of disability in young adults and is characterized by inflammation and degeneration of both white matter (WM) and gray matter (GM). Defining the presence or absence of inflammation on individual basis is a key point in choosing the therapy and monitoring the treatment response. Magnetic resonance imaging (MRI) represents the most sensitive non-invasive tool to monitor inflammation in the clinical practice. Indeed, in the early phase of inflammation MRI detects new lesions as extrusion of gadolinium contrast agents across the altered blood-brain-barrier (BBB). The occurrence of MRI lesions is used to confirm diagnosis and has been validated as surrogate marker of relapse to monitor response to treatments. However, focal gadolinium-enhancing lesions represent only an aspect of neuroinflammation. Recent studies have suggested the presence of a widespread inflammation of the central nervous system (CNS), which is mainly related to microglial cells activation occurring both at the edge of chronic focal lesions and throughout the normal-appearing brain tissue. New imaging techniques have been developed to study diffuse inflammation taking place outside the focal plaques. The scope of this review is to examine the various neuroimaging techniques and those biophysical quantities that can be non-invasively detected to enlighten the different aspects of neuroinflammation. Some techniques are commonly used in the clinical practice, while others are used in the research field to better understand the pathophysiological mechanisms of the disease and the role of inflammation.
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498
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A Case of Atopic Myelitis with Cervical Cavernous Angioma. Case Rep Med 2017; 2017:9506275. [PMID: 28757876 PMCID: PMC5512020 DOI: 10.1155/2017/9506275] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2017] [Accepted: 06/01/2017] [Indexed: 11/17/2022] Open
Abstract
Atopic myelitis, a type of myelitis which appears in patients with elevated serum levels of immunoglobulin E (IgE), occurs more commonly in the cervical spinal cord, but this mechanism has not yet been elucidated. Herein, we experienced a case of atopic myelitis developed during the growth of cervical cavernous angioma caused by bleeding. A 37-year-old woman suffered from hand swelling caused by a house cat licking. At the same time when cavernous angioma had grown, she experienced a numbness in her four extremities, and multifocal peritumoral hyperintense spinal cord signals were seen. The diagnosis of atopic myelitis was made because we observed significantly elevated levels of specific IgE antibody to cat dander. Symptoms disappeared immediately after steroid pulse therapy. We subsequently resected a cavernous angioma, and eosinophil invasion was found inside it. This is the first case report of atopic myelitis which developed in association with spinal cord vascular lesions. A local blood-brain barrier breakdown due to hemorrhagic lesions of the spinal cord may have contributed to the onset of atopic myelitis.
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499
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Yalachkov Y, Foerch C, Wahl M, Gehrig J. A Proposal for a Patient-Oriented Five-Dimensional Approach for Surveillance and Therapy in Multiple Sclerosis. Front Neurol 2017; 8:313. [PMID: 28717353 PMCID: PMC5494444 DOI: 10.3389/fneur.2017.00313] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2017] [Accepted: 06/14/2017] [Indexed: 12/04/2022] Open
Affiliation(s)
- Yavor Yalachkov
- Department of Neurology, Goethe-University, Frankfurt am Main, Germany
| | - Christian Foerch
- Department of Neurology, Goethe-University, Frankfurt am Main, Germany
| | - Mathias Wahl
- Department of Neurology, Goethe-University, Frankfurt am Main, Germany
| | - Johannes Gehrig
- Department of Neurology, Goethe-University, Frankfurt am Main, Germany
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500
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Valverde S, Cabezas M, Roura E, González-Villà S, Pareto D, Vilanova JC, Ramió-Torrentà L, Rovira À, Oliver A, Lladó X. Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach. Neuroimage 2017; 155:159-168. [DOI: 10.1016/j.neuroimage.2017.04.034] [Citation(s) in RCA: 206] [Impact Index Per Article: 25.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2016] [Revised: 03/12/2017] [Accepted: 04/14/2017] [Indexed: 12/30/2022] Open
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