Correlates of MS disability assessed in vivo using aggregates of MR quantities
Correlates of MS disability assessed in vivo using aggregates of MR quantities
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DOI：
10.1212/wnl.56.10.1331
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发表时间：
2001-05-22
期刊：
影响因子：
9.9
通讯作者：
Filippi, M
中科院分区：
文献类型：
--
作者：
Mainero, C;De Stefano, N;Filippi, M
目的：评估MS患者的残疾和综合MRI评分之间的相关性。方法：对23例MS患者进行T2和T1加权MRI、磁化传递成像、扩散张量成像和MRS成像扫描。测量T2病变体积、T1病变体积、脑磁化传递率、平均脑扩散率（（D）over bar）和脑N-乙酰天冬氨酸/肌酸比值。结果如下：扩展残疾状态量表（EDSS）评分与单独采集的每项MR量之间的相关性不显著，但EDSS与NAA/肌酸比值之间的相关性除外（r = -0.50; p = 0.01）。相比之下，使用回归模型计算的三个复合MR评分与EDSS评分强相关（r范围，0.58至0.73; p范围，0.004至0.0001）。包括T2和T1病变体积和脑（D）相对于条形图的模型解释了34%的EDSS方差;包括T2和T1病变体积和脑N-乙酰天冬氨酸/肌酸比值的模型解释了36%的EDSS方差;包括T1病变体积、脑（D）相对于条形图和脑N-乙酰天冬氨酸/肌酸比值的模型解释了53%的EDSS方差。结论：结果表明，多参数MR模型有可能提供有力的措施来监测MS的演变。
Objectives: To assess the magnitude of the correlations between disability and composite MRI scores in patients with MS. Methods: T2- and T1-weighted MRI, magnetization transfer imaging, diffusion tenser imaging, and MRS imaging scans of the brain from 23 patients with MS were obtained. T2 lesion volume, T1 lesion volume, brain magnetization transfer ratio, average brain diffusivity ((D) over bar), and brain,N-acetylaspartate/creatine ratio were measured. Results: The correlations between the Expanded Disability Status Scale (EDSS) score and each of the MR quantities taken in isolation were not significant, with the exception of the correlation between EDSS and the NAA/creatine ratio (r = -0.50; p = 0.01). In contrast, three of the composite MR scores computed using regression models were strongly correlated with the EDSS scores (r range, 0.58 to 0.73; p range, 0.004 to 0.0001). The model that included T2 and T1 lesion volumes and brain (D) over bar explained 34% of the EDSS variance; the model that included T2 and T1 lesion volumes and brain N-acetylaspartate/creatine ratio explained 36% of the EDSS variance; the model that included T1 lesion volume, brain (D) over bar, and brain N-acetylaspartate/creatine ratio explained 53% of the EDSS variance. Conclusions: The results suggest that multiparametric MR models have the potential to provide powerful measures to monitor MS evolution.