摘要
目的探讨 MR 扩散张量成像(DTI)在鉴别脑缺血性疾病与多发性硬化(MS)中的临床应用价值。方法单侧颈内动脉狭窄程度≥70%所导致的脑缺血性疾病患者32例,临床确诊为复发缓解型 MS 患者18例,均行头颅 MR 常规及 DTI 横轴面扫描。测量这些患者胼胝体膝部、体前部、体后部、压部以及额叶白质、枕叶白质的各项异性分数(FA)值。结果 MS 患者的 FA 值在胼胝体的体前部、体后部和压部分别为0.67±0.12、0.67±0.09、0.71±0.01,较脑缺血性疾病患者(分别为0.75±0.05、0.72±0.05、0.76±0.06)降低(t 值分别为3.443、2.281、1.846,P 值均<0.01);MS 患者在胼胝体膝部、额叶白质和枕叶白质 FA 值分别为0.63±0.13、0.34±0.08、0.29±0.06,缺血性疾病患者分别为0.69±0.08、0.34±0.05、0.40±0.06,两者差异无统计学意义(t 值分别为1.781、0.137、5.449,P 值均>0.05)。结论 DTI 可以在活体无创性地对脑白质进行检测和评价,对鉴别脑缺血性疾病和 MS 有一定的临床应用价值。
Objective To assess the value of MR diffusion tensor imaging （DTI） in the differentiation between the patients with cerebral ischemia disease and multiple sclerosis. Methods MR diffusion tensor imaging was performed in thirty-two patients with internal carotid artery stenosis ≥70% and eighteen patients with clinical diagnosed multiple sclerosis. Fractional anisotropy （FA） value of the genu, splenium, body of the corpus callosum, and the white matter of the frontal and occipital lobe were measured respectively, and independent-sample t-test statistical analysis was performed. Results The FA value was decreased obviously in the anterior and posterior body and splenium of the corpus callosumin the MS patients compared with the ICA severe stenosis patients （ 0.67 ± 0. 12 vs. 0. 75 ±0. 05, t = 3. 443, P 〈 0. 01 ; 0.67±0.09 vs. 0.72±0.05, t=2.281, P〈0.01; 0.71 ±0.01 vs. 0.76±0.06, t =1. 846, P〈0.01）, but had no significant difference at the genu, the white matter of the frontal and occipital lobe of the two groups（0. 63 ±0. 13 vs. 0.69 ±0.08, t =1.781, P〉0.05; 0.34 ±0.08 vs. 0.34 ±0.05, t=0. 137, P〉 0. 05 ; 0. 29 ± 0. 06 vs. 0. 40 ± 0. 06, t = 5. 449, P 〉 0. 05 ）. Conclusion DTI can noninvasive detect the potential disorder of corpus callosum in vivo, thus providing useful information to differentiate the cerebral ischemia disease from multiple sclerosis.
出处
《中华放射学杂志》
CAS
CSCD
北大核心
2007年第4期341-344,共4页
Chinese Journal of Radiology
关键词
胼胝体
多发性硬化
磁共振成像
扩散
Corpus callosum
Multiple sclerosis
Magnetic resonance imaging
Diffusion
