期刊文献+

正常成人近段坐骨神经的弥散张量成像 被引量:8

Diffusion tensor imaging on the proximal sciatic nerve of normal adults
暂未订购
导出
摘要 背景:弥散张量成像及神经纤维束示踪的出现为外周神经细微结构的显示及定量分析提供了新的方法。目的:前瞻性分析健康成人大腿近段坐骨神经纤维束示踪、弥散张量成像的可行性及最佳成像参数。方法:采用单次激发自旋回波-平面回波技术对28名健康志愿者双侧坐骨神经进行弥散张量成像及神经纤维束示踪,b值分别为1200,1400,1600s/mm2。结果与结论:弥散张量成像及神经纤维束示踪成功者26名,成功率93%,神经纤维束示踪图上能清晰显示近段坐骨神经,与T1WI上解剖图像融合较好。两侧坐骨神经具有相同的弥散特征:随着b值增加,信噪比逐渐减少,b值为1200s/mm2,信噪比值最大为142.72±32.25,神经纤维束长度最长,所占体素最大,但不同b值的弥散张量参数无差异(P>0.05),且两侧坐骨神经弥散张量参数无差异。说明正常成人大腿近段坐骨神经的弥散张量成像及经纤维束示踪是可行的,可清晰显示坐骨神经走行及弥散特征;最佳b值为1200s/mm2。 BACKGROUND:The appearance of diffusion tensor imaging (DTI) and diffusion tensor tractography (DTT) technology provides new methods to show tiny structure of peripheral nerves and quantitative analysis.OBJECTIVE:To prospectively analyze the possibility of DTI and DTT on the proximal sciatic nerve of normal adults and their optimal parameters.METHODS:The bilateral sciatic nerves from 28 healthy volunteers were preformed with DTI and DTT through single-shot spin-echo-echo-planar technique,the b value was 1 200,1 400 and 1 600 s/mm2 respectively.RESULTS AND CONCLUSION:26 cases were successful reconstructed by DTI and DTT,and the success rate was 93%.The proximal sciatic nerve could show clearly on the DTT map and better integrated with the anatomical images on T1WI.The right and left sciatic nerve had the same dispersion characteristics,with the b value increased,the signal to noise ratio (SNR) was gradually reduced.Longest fibers,maximum SNR and fiber density index were found at b values of 1 200 s/mm2 and the maximum SNR was 142.72±32.25.There was no significant difference of the diffusion tensor parameters in different b values,and there was nosignifiant difference of diffusion tensor parameters between bilateral sciatic nerves (P〉0.05).It indicates that the DTI and DTT on the proximal sciatic nerve of normal adults are feasible.DTI and DTT can show the diffusion characteristics and architecture of the sciatic nerves,and the optimal b value is 1 200 s/mm2.
出处 《中国组织工程研究》 CAS CSCD 2012年第9期1647-1650,共4页 Chinese Journal of Tissue Engineering Research
基金 国家自然科学基金资助项目(81171800) 广东省自然科学基金资助项目(0630112)~~
  • 相关文献

参考文献3

二级参考文献30

  • 1[3]Yamada K, Kizu O, Mori S, et al. Brain fiber tracking with clinically feasible diffuion-tensor MR imaging: initial experience[J]. Radiology,2003,227(1):295-301.
  • 2[6]Sorensen AG, Wu O, Copen WA, et al. Human acute cerebral ischemia: detection of changes in water diffusion anisotropy by using MR imaging[J]. Radiology,1999,212(2):785-792.
  • 3[7]Schonewille WJ, Tuhrim S, Singer MB, et al. Diffusion-weighted MRI in acute lacunar syndromes. A clinical-radiological study[J]. Stroke,1999,30(9):2066-2069.
  • 4[8]Jones DK, Lythgoe D, Mark A, et al. Characterization of white matter damage in ischemic leukoaraiosis with diffusion tensor MRI[J]. Stroke,1999,30(2):393-397.
  • 5[9]Yamada I, Himeno Y, Nagaoka T, et al. Moyamoya disease: evaluation with diffusion-weighted and perfusion echo-planar MR imaging[J]. Radiology,1999,212(1):340-347.
  • 6[10]Chabriat H, Pappata S, Poupon C, et al. Clinical severity in CADASIL related to ultrastructural damage in white matter.In vivo study with diffusion tensor MRI[J]. Stroke,1999,30(10):2637-2643.
  • 7[11]Werring DJ, Clark CA, Barker GJ, et al. Diffusion tensor imaging of lesions and normal-appearing white matter in multiple sclerosis[J]. Neurology,1999,52(4):1626-1632.
  • 8[12]Bammer R, Augustin M, Strasser-Fuchs S, et al. Magnetic resonance diffusion tensor imaging for characterizing diffuse and focal white matter abnormalities in multiple sclerosis[J]. Mag Reson Med,2000,44(2):583-591.
  • 9[13]Iwasawa T, Matoba H, Ogi A, et al. Diffusion-weighted imaging of the human optic nerue:a new approach to evalualuate optic neuritis in multiple sclerosis[J]. Magn Reson Med,1997,38(2):484-491.
  • 10[14]Itor R, Melhem ER, Mori S, et al. Diffusion tensor brain MR imaging in X-linked cerebral adrenoleukodystrophy[J]. Neurology,2001,56(3):544-547.

共引文献32

同被引文献51

引证文献8

二级引证文献32

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部