Motor unit number estimation.

Motor unit number estimation.
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DOI:
10.1016/s1047-9651(02)00130-4
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发表时间:
2003-05-01
影响因子:
1.7
通讯作者:
Gooch, Clifton L
Gooch, Clifton L
中科院分区:
医学4区
文献类型:
--
作者:
Shefner, Jeremy M;Gooch, Clifton L

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自30年前推出以来,MUNE技术已越来越多地被改进并应用于各种神经肌肉疾病。MUNE研究者对于哪种方法最好仍存在意见分歧;然而,统计学和MPS MUNE目前使用最广泛。许多方法学问题仍然存在,包括为每种技术制定详细的通用标准,以及为提高重现性而进行修改。这些问题是正在进行的调查的主题。尽管技术上的差异,使用不同的方法获得的MUNE值在正常受试者和各种神经源性过程的患者的研究中显示出良好的一致性。MUNE已成功应用于肌萎缩侧索硬化症患者和运动神经元疾病的动物模型,为这些疾病的病理生理学提供了重要的见解。这些技术越来越多地被纳入临床治疗试验。MUNE在神经肌肉疾病的研究中提供了希望,能够在活体患者中收集任何其他方法都无法获得的新数据。
Since its introduction 30 years ago, MUNE techniques have increasingly been refined and applied to a wide variety of neuromuscular disorders. Differences of opinion remain among MUNE investigators as to which method is best; however, statistical and MPS MUNE are currently the most widely used. Numerous methodologic issues remain, including the development of detailed universal standards for each technique and the implementation of modifications for the enhancement of reproducibility. These issues are the subjects of ongoing investigation. Despite technical variability, the MUNE values obtained using different methods show good agreement in studies of normal subjects and in patients with a variety of neurogenic processes. MUNE has been applied most successfully to patients with amyotrophic lateral sclerosis and to animal models of motor neuron disease, providing significant insight into the pathophysiology of these disorders. These techniques are increasingly being incorporated into clinical therapeutic trials. MUNE offers promise in the study of neuromuscular disease, enabling the collection of novel data in the living patient unobtainable by any other method.