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磁共振弥散张量成像对Wallerian变性诊断价值的评价
引用本文:崔谊,侯金文,孟祥水,刘影,张凯.磁共振弥散张量成像对Wallerian变性诊断价值的评价[J].山东大学学报(医学版),2006,44(7):746-749.
作者姓名:崔谊  侯金文  孟祥水  刘影  张凯
作者单位:山东大学齐鲁医院放射科,山东,济南,250012
摘    要:目的:探讨磁共振弥散张量成像技术(diffusion tensor imaging, DTI)在Wallerian变性中的诊断价值。方法:对40例正常志愿者、10例正常变异者和 40例病变者分别进行DTI和常规MRI扫描。结果:正常志愿者大脑脚、脑桥基底部皮质脊髓束走行区各向异性分数(fractional anisotropy, FA)均值分别为0.73和0.63,其FA比值(数值小的一侧比大的一侧)分别为97.6%和96.8%;正常变异者大脑脚、脑桥基底部皮质脊髓束走行区FA均值分别为0.72和0.64,其FA值比值分别为96%和95%,与正常志愿者相比,差异无统计学意义(P>0.05);病变者患侧大脑脚、脑桥基底部FA均值分别为0.64及0.52。其FA比值(患侧FA值比健侧FA值)分别为76.0%和77.0%,患侧大脑脚、脑桥基底部皮质脊髓束的FA值及其比值较正常者明显减小,差异有统计学意义(P<0.05)。结论:DTI技术通过测量FA值及其比值及神经纤维束的三维重建,较常规MRI更为准确客观地诊断Wallerian变性。

关 键 词:Wallerian变性  弥散张量成像  磁共振成像
文章编号:1671-7554(2006)07-0746-04
收稿时间:2005-09-07
修稿时间:2005年9月7日

Role of diffusion tensor imaging in diagnosing Wallerian degeneration
CUI Yi,HOU Jin-wen,MENG Xiang-shui,LIU Ying,ZHANG Kai.Role of diffusion tensor imaging in diagnosing Wallerian degeneration[J].Journal of Shandong University:Health Sciences,2006,44(7):746-749.
Authors:CUI Yi  HOU Jin-wen  MENG Xiang-shui  LIU Ying  ZHANG Kai
Institution:Department of Radiology, Qilu Hospital of Shandong University, Jinan 250012, Shandong, China
Abstract:Objective: To explore the value of the diffusion tensor imaging(DTI) in diagnosing Wallerian degeneration.Methods: DTI and MRI protocols were performed on 40 healthy volunteers,10 normal variants and 40 patients,respectively.Results: The mean FA ratios of the corticospinal tracts in cerebral peduncle and basilar part of pons were 0.73(97.6%) and 0.63(96.8%) in 40 healthy volunteers,and they were 0.72(96.0%) and 0.64(95.0%) in 10 normal variants;No significant difference was found between the healthy volunteers and normal variants(P>0.05).Whereas,they were 0.64(77.0%) and 0.52(76.0%) in 40 patients,significantly reduced compared with the healthy volunteers and the normal variants(P<0.05).Conclusion: DTI is more accurate than MRI in diagnosing Wallerian degeneration.
Keywords:Wallerian degeneration  Diffusion tensor imaging  Magnetic resonance imaging
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