Brain and spinal cord MR in benign multiple sclerosis: a follow-up study

1996 ◽  
Vol 143 (1-2) ◽  
pp. 143-149 ◽  
Author(s):  
Massimo Filippi ◽  
Adriana Campi ◽  
Vittorio Martinelli ◽  
Bruno Colombo ◽  
Giuseppe Scotti ◽  
...  
2004 ◽  
Vol 56 (2) ◽  
pp. 303-306 ◽  
Author(s):  
Sean J. Pittock ◽  
Robyn L. McClelland ◽  
William T. Mayr ◽  
Neal W. Jorgensen ◽  
Brian G. Weinshenker ◽  
...  

2018 ◽  
Vol 26 ◽  
pp. 71-73 ◽  
Author(s):  
Lorenzo Razzolini ◽  
Emilio Portaccio ◽  
Maria Laura Stromillo ◽  
Benedetta Goretti ◽  
Claudia Niccolai ◽  
...  

2014 ◽  
Vol 20 (14) ◽  
pp. 1896-1899 ◽  
Author(s):  
AN Belova ◽  
IV Shalenkov ◽  
DN Shakurova ◽  
AN Boyko

Background: The 2010 revised McDonald criteria were developed with data gathered from Caucasian European and North American populations, and their applicability has been questioned for the Russian population. Objective: The objective of this report is to compare the specificity, accuracy, sensitivity and predictive value of MRI criteria incorporated to the new (2010) and old (2005) McDonald criteria for early multiple sclerosis (MS) diagnostics in the Nyzhnyi Novgorod (Russia) population. Methods: A total of 103 patients with symptoms suggestive of MS were recruited from 2008 to 2011 retrospectively. Patients were followed up until MS was confirmed or other proved diagnoses were determined. Their baseline and follow-up brain and spinal cord MRIs were retrospectively evaluated. Sixty-two patients (60%) converted to MS during the follow-up period (mean in 11±4.2 months). Results: In 41 cases (38%) diagnoses another than MS were established. The sensitivity, specificity, accuracy, PPV and NPV of the revised MRI criteria were 74%, 93%, 82%, 94%, 70%, respectively. Conclusions: Despite the limitations of our study, we conclude that the ability of the revised MRI criteria for early MS diagnostics in the Russian population is approximately similar to that determined by the international panel in Europe.


Author(s):  
Claudia E. Weber ◽  
Julia Krämer ◽  
Matthias Wittayer ◽  
Johannes Gregori ◽  
Sigurd Randoll ◽  
...  

Abstract Objectives In multiple sclerosis (MS), iron rim lesions (IRLs) are indicators of chronic low-grade inflammation and ongoing tissue destruction. The aim of this study was to assess the relationship of IRLs with clinical measures and magnetic resonance imaging (MRI) markers, in particular brain and cervical cord volume. Methods Clinical and MRI parameters from 102 relapsing MS patients (no relapses for at least 6 months, no contrast-enhancing lesions) were included; follow-up data obtained after 12 months was available in 49 patients. IRLs were identified on susceptibility-weighted images (SWIs). In addition to standard brain and spinal cord MRI parameters, normalised cross-sectional area (nCSA) of the upper cervical cord was calculated. Results Thirty-eight patients had at least one IRL on SWI MRI. At baseline, patients with IRLs had higher EDSS scores, higher lesion loads (brain and spinal cord), and lower cortical grey matter volumes and a lower nCSA. At follow-up, brain atrophy rates were higher in patients with IRLs. IRLs correlated spatially with T1-hypointense lesions. Conclusions Relapsing MS patients with IRLs showed more aggressive MRI disease characteristics in both the cross-sectional and longitudinal analyses. Key Points • Multiple sclerosis patients with iron rim lesions had higher EDSS scores, higher brain and spinal cord lesion loads, lower cortical grey matter volumes, and a lower normalised cross-sectional area of the upper cervical spinal cord. • Iron rim lesions are a new lesion descriptor obtained from susceptibility-weighted MRI. Our data suggests that further exploration of this lesion characteristic in regard to a poorer prognosis in multiple sclerosis patients is warranted.


2017 ◽  
Vol 264 (6) ◽  
pp. 1068-1075 ◽  
Author(s):  
Arianna Sartori ◽  
Mohammad Abdoli ◽  
Mark S. Freedman

2010 ◽  
Vol 33 (2) ◽  
pp. 169-175 ◽  
Author(s):  
Jorge Sepulcre ◽  
Herminia Peraita ◽  
Joaquín Goñi ◽  
Gonzalo Arrondo ◽  
Iñigo Martincorena ◽  
...  

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