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1.
Mult Scler ; 15(5): 632-7, 2009 May.
Article in English | MEDLINE | ID: mdl-19389751

ABSTRACT

BACKGROUND: Several magnetic resonance imaging (MRI) parameters are known to be associated with short-term outcome in multiple sclerosis (MS) patients. MS-related disability typically progresses over decades, stressing the need for longer follow-up studies. Until now, these studies are relatively sparse and, therefore, the predictive value of MRI parameters for clinical disability remains largely unknown. OBJECTIVE: To assess the predictive value of brain MRI parameters, which are obtained during the first 3.3 years of the study for overall disease severity as measured by the MS Severity Score (MSSS) after 12.2 years follow-up. METHODS: Forty-six MS patients were included in the study. MRI parameters included both lesion loads and atrophy measures. Average and change parameters were calculated for MRI parameters and subsequently used as independent variables in regression models, while MSSS was the dependent variable. RESULTS: Follow-up (FU) was obtained in 43/46 patients (94%) and median expanded disability status scale (EDSS) score increased significantly from 2.5 to 4.0. At last FU median MSSS was 4.3 (range 2.2-6.9). In univariate analyses, both change and cross-sectional T1-hypointense lesion load and ventricular atrophy measures were associated with MSSS. A multiple regression model included the change parameter of hypointense T1-lesion load (BHLL). This model explained 20% of variance in MSSS, which increased to 34% when type of disease (relapsing remitting or secondary progressive), age, and sex were entered additionally. CONCLUSION: MRI measures of axonal loss are associated with higher overall disease severity in MS patients.


Subject(s)
Magnetic Resonance Imaging , Multiple Sclerosis, Chronic Progressive/pathology , Multiple Sclerosis, Relapsing-Remitting/pathology , Severity of Illness Index , Adult , Atrophy , Brain/pathology , Female , Follow-Up Studies , Humans , Linear Models , Male , Middle Aged , Predictive Value of Tests
2.
J Neurol Neurosurg Psychiatry ; 79(8): 917-23, 2008 Aug.
Article in English | MEDLINE | ID: mdl-18077480

ABSTRACT

OBJECTIVE: Magnetic resonance imaging (MRI) and clinical parameters are associated with disease progression in multiple sclerosis (MS). The aim of this study was to investigate whether adding MRI parameters to a model with only clinical parameters could improve these associations. METHODS: 89 patients (55 women) with recently diagnosed MS had clinical and MRI evaluation at baseline (time of diagnosis) and at follow-up after 2.2 years. Detailed clinical data were available, including disease type (relapse-onset or progressive-onset) and disability, as measured by the Expanded Disability Status Scale (EDSS). MRI parameters included Normalised Brain Volume (NBV) at baseline, percentage brain volume change (PBVC/year), T2- and T1-lesion loads and spinal cord abnormalities. Progression of disability (increase in EDSS of at least 1 point at follow-up) was the main outcome measure. For a model containing only clinical parameters, the added value of MRI parameters was tested using logistic regression. RESULTS: PBVC/year and lesion loads at follow-up were significantly higher in the group with progression. Adding PBVC/year to a clinical model improved the model, indicating that MRI parameters added independent information (p<0.001). CONCLUSION: The rate of cerebral atrophy conveys added information for the progression of disability in patients with early MS, suggesting that clinical disability is determined by neurodegenerative changes as depicted by MRI.


Subject(s)
Disability Evaluation , Magnetic Resonance Imaging , Multiple Sclerosis, Chronic Progressive/diagnosis , Multiple Sclerosis, Relapsing-Remitting/diagnosis , Neurologic Examination , Adult , Atrophy , Brain/pathology , Disease Progression , Female , Follow-Up Studies , Humans , Male , Middle Aged , Regression Analysis , Sensitivity and Specificity , Spinal Cord/pathology
3.
Neurology ; 65(1): 56-61, 2005 Jul 12.
Article in English | MEDLINE | ID: mdl-16009885

ABSTRACT

BACKGROUND: Histopathologic studies suggest that lesion development differs between patients with multiple sclerosis (MS), but that all lesions appear similar within patients. It is unclear whether the same applies to the evolution of lesions on T1-weighted MRI. OBJECTIVE: To evaluate lesion evolution on MRI, comparing variance within and between patients, as well as the relationship between MRI lesion development and clinical characteristics. METHODS: In 48 patients, signal intensity at baseline and at follow-up on T1-weighted MRI of 789 newly enhancing lesions was studied in relationship with clinical data. Patients were included on the basis of showing at least five enhancing lesions that could be followed on monthly scans for 6 months. Variance component analysis and multilevel analysis were used to compare within-patient and between-patient variability. RESULTS: Although various types of lesion evolution could be observed within a single patient, between-patient variance was considerably larger than within-patient variance for MRI parameters used to describe lesion evolution, indicating that lesion evolution is a patient-specific phenomenon. Evolution of lesions in patients with secondary progressive disease more frequently followed a hypointense-hypointense pattern than in patients with relapsing-remitting disease (odds ratio 4.2). Patients with a benign disease course had more persistent isointense lesions at follow-up, whereas patients with aggressive disease had more hypointense lesions. CONCLUSION: Lesion evolution on MRI appears to be a patient-specific phenomenon, although the outcome seems to vary according to the phase and severity of the disease.


Subject(s)
Central Nervous System/pathology , Central Nervous System/physiopathology , Magnetic Resonance Imaging/standards , Multiple Sclerosis/diagnosis , Multiple Sclerosis/physiopathology , Disease Progression , Female , Humans , Male , Multiple Sclerosis, Chronic Progressive/diagnosis , Multiple Sclerosis, Chronic Progressive/physiopathology , Multiple Sclerosis, Relapsing-Remitting/diagnosis , Multiple Sclerosis, Relapsing-Remitting/physiopathology , Nerve Fibers, Myelinated/pathology , Predictive Value of Tests
4.
J Neurooncol ; 37(2): 109-13, 1998 Apr.
Article in English | MEDLINE | ID: mdl-9524088

ABSTRACT

Neurotoxicity forms a major limitation in many clinical applications of vincristine and other powerful vinca alkaloid anticancer drugs. Using the nerve growth factor (NGF) dependent neurite outgrowth from the PC12 pheochromocytoma cell line as an in vitro assay for neurotoxicity, the effect of different concentrations of vincristine (0.55; 1.1 and 11 nM) was compared with that of vindesine and vinblastine. Vincristine in comparatively low concentration (0.55 nM) could significantly decrease the percentage of neurite forming cells from 74% to 32% within a three day incubation period. Especially the longer neurites (> 2 x cell body) proved to be extremely sensitive for vincristine effects. Vinblastine and vindesine were also able to decrease, dose dependently and significantly, the percentage of neurite forming cells. However, the effects observed were less severe than that of vincristine. The sequentially increasing level of neurotoxicity due to vinblastine, vindesine and vincristine, as observed in the neurite outgrowth inhibition correlates well with previous findings from animal models and with data from the clinical practice. Withdrawal of vincristine resulted in a rapid restoration of neurite formation, suggesting the potential reversibility of neurotoxic effects in these cells. These results provide a validation of the PC12 neurite outgrowth assay as a suitable and reliable model for predicting neurotoxicity.


Subject(s)
Antineoplastic Agents, Phytogenic/pharmacology , Neurotoxins/pharmacology , Animals , Nerve Growth Factors/pharmacology , Neurites/drug effects , Neurites/physiology , Osmolar Concentration , PC12 Cells , Rats , Vinblastine/pharmacology , Vincristine/pharmacology , Vindesine/pharmacology
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