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胼胝体病变可预测临床孤立综合征后的未来发作。

Callosal lesion predicts future attacks after clinically isolated syndrome.

作者信息

Jafari N, Kreft K L, Flach H Z, Janssens A C J W, Hintzen R Q

机构信息

Department of Neurology, MS Centre ErasMS, 3000 CA Rotterdam, The Netherlands.

出版信息

Neurology. 2009 Dec 1;73(22):1837-41. doi: 10.1212/WNL.0b013e3181c3fccf.

DOI:10.1212/WNL.0b013e3181c3fccf
PMID:19949029
Abstract

BACKGROUND

Current MRI criteria can help predict a second attack after a clinically isolated syndrome (CIS). Given the known association between corpus callosum lesions (CC) and multiple sclerosis (MS), such lesions on MRI could provide additional predictive information. This study assessed whether the presence of CC lesion on MRI could, next to the modified Barkhof criteria, further enhance prediction of conversion from CIS to MS.

METHODS

Follow-up study of 158 patients with CIS who underwent MRI after CIS was performed. MRI were scored for the Barkhof criteria and CC lesion. Patients were classified as having MS according to Poser criteria. Cox regression models were used for the time to conversion from CIS to MS.

RESULTS

The Barkhof criteria and CC lesion were strongly associated with conversion to MS with hazard ratios (HR), respectively, of 2.6 (95% confidence interval [CI] 1.5-4.3) and 2.7 (95% CI 1.6-4.5). The HRs of CC lesion adjusted for the Barkhof criteria and the Barkhof criteria adjusted for CC lesion were similar (HRs 1.8, not significant). The combined prediction of the Barkhof criteria and CC lesion was 3.3 (95% CI 1.9-5.7). Patients not fulfilling the Barkhof criteria had a fourfold increased risk of MS (HR 3.8, 95% CI 1.5-9.3) when they had a lesion in the CC.

CONCLUSIONS

Corpus callosum (CC) lesion and the Barkhof criteria both predicted conversion to multiple sclerosis (MS). When both variables were combined, the association was stronger. The assessment of CC lesion may be a useful additional tool for predicting conversion to MS in patients with clinically isolated syndrome.

摘要

背景

当前的磁共振成像(MRI)标准有助于预测临床孤立综合征(CIS)后的第二次发作。鉴于胼胝体病变(CC)与多发性硬化症(MS)之间已知的关联,MRI上的此类病变可能提供额外的预测信息。本研究评估了MRI上CC病变的存在是否除改良的巴科夫标准外,还能进一步增强对CIS转化为MS的预测。

方法

对158例CIS患者在CIS后进行MRI检查的随访研究。根据巴科夫标准和CC病变对MRI进行评分。根据波泽标准将患者分类为患有MS。使用Cox回归模型分析从CIS转化为MS的时间。

结果

巴科夫标准和CC病变与转化为MS密切相关,风险比(HR)分别为2.6(95%置信区间[CI]1.5 - 4.3)和2.7(95%CI 1.6 - 4.5)。经巴科夫标准调整后的CC病变HR和经CC病变调整后的巴科夫标准HR相似(HR为1.8,无显著性差异)。巴科夫标准和CC病变的联合预测值为3.3(95%CI 1.9 - 5.7)。未满足巴科夫标准的患者若CC有病变,则患MS的风险增加四倍(HR 3.8,95%CI 1.5 - 9.3)。

结论

胼胝体(CC)病变和巴科夫标准均能预测转化为多发性硬化症(MS)。当两个变量结合时,关联性更强。评估CC病变可能是预测临床孤立综合征患者转化为MS的一个有用的附加工具。

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