The central vein sign helps in differentiating multiple sclerosis from its mimickers: lessons from Fabry disease

Author(s):  
Mario Tranfa ◽  
Mario Tortora ◽  
Giuseppe Pontillo ◽  
Valentina Iuzzolino ◽  
Eleonora Riccio ◽  
...  
Author(s):  
Mario Tranfa ◽  
Mario Tortora ◽  
GIUSEPPE PONTILLO ◽  
Valentina Virginia Iuzzolino ◽  
E. Riccio ◽  
...  

Author(s):  
Maciej Juryńczyk ◽  
Elżbieta Klimiec-Moskal ◽  
Yazhuo Kong ◽  
Samuel Hurley ◽  
Silvia Messina ◽  
...  

Abstract Background Separating antibody-negative neuromyelitis optica spectrum disorders (NMOSD) from multiple sclerosis (MS) in borderline cases is extremely challenging due to lack of biomarkers. Elucidating different pathologies within the likely heterogenous antibody-negative NMOSD/MS overlap syndrome is, therefore, a major unmet need which would help avoid disability from inappropriate treatment. Objective In this study we aimed to identify distinct subgroups within the antibody-negative NMOSD/MS overlap syndrome. Methods Twenty-five relapsing antibody-negative patients with NMOSD features underwent a prospective brain and spinal cord MRI. Subgroups were identified by an unsupervised algorithm based on pre-selected NMOSD/MS discriminators. Results Four subgroups were identified. Patients from Group 1 termed “MS-like” (n = 6) often had central vein sign and cortical lesions (83% and 67%, respectively). All patients from Group 2 (“spinal MS-like”, 8) had short-segment myelitis and no MS-like brain lesions. Group 3 (“classic NMO-like”, 6) had high percentage of bilateral optic neuritis and longitudinally extensive transverse myelitis (LETM, 80% and 60%, respectively) and normal brain appearance (100%). Group 4 (“NMO-like with brain involvement”, 5) typically had a history of NMOSD-like brain lesions and LETM. When compared with other groups, Group 4 had significantly decreased fractional anisotropy in non-lesioned tracts (0.46 vs. 0.49, p = 0.003) and decreased thalamus volume (0.84 vs. 0.98, p = 0.04). Conclusions NMOSD/MS cohort contains distinct subgroups likely corresponding to different pathologies and requiring tailored treatment. We propose that non-conventional MRI might help optimise diagnosis in these challenging patients.


2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Nicolo’ Bruschi ◽  
Giacomo Boffa ◽  
Matilde Inglese

Abstract Magnetic resonance imaging (MRI) is essential for the early diagnosis of multiple sclerosis (MS), for investigating the disease pathophysiology, and for discriminating MS from other neurological diseases. Ultra-high-field strength (7-T) MRI provides a new tool for studying MS and other demyelinating diseases both in research and in clinical settings. We present an overview of 7-T MRI application in MS focusing on increased sensitivity and specificity for lesion detection and characterisation in the brain and spinal cord, central vein sign identification, and leptomeningeal enhancement detection. We also discuss the role of 7-T MRI in improving our understanding of MS pathophysiology with the aid of metabolic imaging. In addition, we present 7-T MRI applications in other demyelinating diseases. 7-T MRI allows better detection of the anatomical, pathological, and functional features of MS, thus improving our understanding of MS pathology in vivo. 7-T MRI also represents a potential tool for earlier and more accurate diagnosis.


Author(s):  
Marwa Kaisey ◽  
Andrew J. Solomon ◽  
Brooke L. Guerrero ◽  
Brian Renner ◽  
Zhaoyang Fan ◽  
...  

2017 ◽  
Vol 01 (04) ◽  
pp. E294-E306 ◽  
Author(s):  
Mike Wattjes ◽  
Peter Raab

AbstractMagnetic resonance imaging (MRI) plays an important role in the diagnosis of multiple sclerosis and has been incorporated into the McDonald diagnostic criteria for MS. In particular, for the exclusion of important differential diagnosis and comorbidities, new MRI markers have been established such as the “central vein sign”. In addition to diagnostic purposes, the role of MRI in MS monitoring is becoming increasingly important, particularly for pharmacovigilance. This includes treatment efficacy monitoring, prediction of treatment response and safety monitoring. Quantitative MRI methods and ultra-high-field MRI offer the opportunity for the quantitative assessment of damage in normal-appearing brain tissue. However, the standardization of these techniques with the goal of implementation in clinical routine will be one of the major challenges in the near future.


2020 ◽  
Vol 45 ◽  
pp. 102409 ◽  
Author(s):  
Claudia E. Weber ◽  
Vesile Sandikci ◽  
Anne Ebert ◽  
Kristina Szabo ◽  
Michael Platten ◽  
...  

2020 ◽  
Vol 75 (6) ◽  
pp. 479.e9-479.e15 ◽  
Author(s):  
A. Bhandari ◽  
H. Xiang ◽  
J. Lechner-Scott ◽  
M. Agzarian

2019 ◽  
Vol 34 ◽  
pp. 112-115 ◽  
Author(s):  
Miljenka-Jelena Jurašić ◽  
Vanja Bašić Kes ◽  
Iris Zavoreo

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