Correlations between monthly enhanced MRI lesion rate and changes in T2 lesion volume in multiple sclerosis

被引:130
作者
Molyneux, PD
Filippi, M
Barkhof, F
Gasperini, C
Yousry, TA
Truyen, L
Lai, HM
Rocca, MA
Moseley, IF
Miller, DH
机构
[1] Natl Hosp, Inst Neurol, NMR Res Unit, London WC1N 3BG, England
[2] Univ Milan, Osped San Raffaele, Dept Neurol, MS Biosignal Anal Ctr, I-20127 Milan, Italy
[3] Vrije Univ Amsterdam, Acad Hosp, Dept Diagnost Radiol, Amsterdam, Netherlands
[4] Univ Rome, Dept Neurol, Rome, Italy
[5] Univ Munich, Klinikum Grosshadern, Dept Neuroradiol, D-8000 Munich, Germany
关键词
D O I
10.1002/ana.410430311
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Magnetic resonance imaging (MRT) provides a powerful tool for assessing disease activity in multiple sclerosis (MS), and its role as a surrogate marker for monitoring treatment efficacy is now becoming established. The most commonly used MRI parameters in treatment trials are (1) monthly gadolinium-enhanced MRI, with the number of active lesions serving as the outcome measure, and (2) annual lesion load quantification, in which change in MS lesion volume provides the MRI endpoint. We evaluated clinical/MRI correlations and the relationship between these two markers of disease activity in 73 patients with clinically definite MS. Quantification of T2 lesion load was performed at study entry and exit, with a median study duration of 11 months (range, 9 to 14 months). Monthly postgadolinium T1-weighted images were acquired between these time points. Lesion load at study entry was significantly correlated with the baseline Expanded Disability Status Scale (EDSS) score, but no significant longitudinal correlation was demonstrated. The number of enhancing lesions on the entry scan was predictive of subsequent relapse rate over the study duration and also correlated with the subsequent enhancing lesion activity over the study period. A significant correlation was found between change in lesion load and disease activity on the monthly scans. Our results suggest that annual lesion load quantification provides an efficient measure of ongoing disease activity, and this supports its application as a surrogate marker of disease evolution in phase III treatment trials.
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页码:332 / 339
页数:8
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