Diffusion tensor imaging reveals disease-specific deep cerebellar nuclear changes in cerebellar degeneration.
Diffusion tensor imaging reveals disease-specific deep cerebellar nuclear changes in cerebellar degeneration.
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弥散张量成像揭示了小脑变性中疾病特异性的深部小脑核变化。
DOI：
10.1007/s00415-010-5523-6
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发表时间：
2010
影响因子：
6
通讯作者：
Ying,SarahH
中科院分区：
文献类型：
--
作者：
Du,AnnieX;Cuzzocreo,JenniferL;Landman,BennettA;Zee,DavidS;Prince,JerryL;Ying,SarahH
虽然小脑萎缩是小脑共济失调的一个关键体征，但磁共振成像（MRI）的解释可能会受到特定区域年龄相关性变性和后颅窝结构可视化不良的阻碍。在MRI上直接定量小脑皮质体积是一个耗时的过程，可能会被复杂的叶状结构所混淆，这会引入部分体积效应，计算小脑深核（DCN）的疾病进展指数可能更简单，DCN与前庭核一起介导几乎所有的小脑流出沿着。DCN的定量评估对小脑受累的神经退行性疾病的诊断、分期和预后有重要价值。结构评估的进展使DCN识别成为可能[1-3];然而，T1和T2加权扫描可能存在可变信号和对比度，因此有时根本无法检测到DCN [2，4]。最近，我们的团队开发了基于扩散张量成像（DTI）的齿状核和间置核的描绘技术，
Although cerebellar atrophy is a key sign in cerebellar ataxia, interpretation of magnetic resonance imaging (MRI) may be hindered by region-specific age-related degeneration and poor visualization of posterior fossa structures. Direct quantification of true cerebellar cortical volume on MRI is a time-consuming process that may be confounded by complex foliation, which introduces partial volume effects.It may be simpler to calculate an index for disease progression for the deep cerebellar nuclei (DCN), which mediate virtually all cerebellar outflow along with the vestibular nuclei. Quantitative assessment of the DCN could be invaluable to diagnosis, staging, and prognosis in neurodegenerative diseases with cerebellar involvement. Progress in structural assessment has enabled DCN identification [1–3]; however, there may be variable signal and contrast on T1-and T2-weighted scans such that DCN are sometimes not detectable at all [2, 4]. Recently, our team developed techniques for diffusion tensor imaging (DTI)-based delineation of the dentate and interposed nuclei—the largest, most reliably distinguishable