Classification of teased nerve fibers for multicenter clinical trials.
Classification of teased nerve fibers for multicenter clinical trials.
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用于多中心临床试验的神经纤维分类。
DOI：
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发表时间：
1999
影响因子：
3.8
通讯作者：
A. Mizisin
中科院分区：
文献类型：
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作者：
M. Kalichman;C. Chalk;A. Mizisin
梳理的神经纤维在临床和实验神经病理学中被广泛使用，但轶事证据表明，即使是有经验的读者发现梳理纤维分类的类别很少一致。为了制定一个既能被有经验的读者也能被无经验的读者使用和理解的分类方案，我们制定了正常纤维和表现出沃勒变性、脱髓鞘、髓鞘形成不足、髓鞘再生和异常结旁髓鞘形成的纤维的具体标准。从人类腓肠神经活检中提取的20根纤维被选为这些类别中的一种或多种的示例。10名读者，包括7名以前没有梳理纤维的经验，被给予一组说明，并要求对所有匹配类别的每种纤维进行评分。这些阅片者的真阳性分类率平均较高（56-85%），而平均假阳性率（3-18%）要低得多。在三位经验丰富的阅片师中，纤维分类的真阳性一致率平均在75%至100%之间。假阳性相应较低，范围在0 - 8%之间。这些结果表明，有可能设计一个容易学习的，有意义的计划分类戏弄的神经纤维。
Teased nerve fibers are used widely in both clinical and experimental neuropathology, but anecdotal evidence indicates that even experienced readers find little agreement on categories for teased fiber classification. To develop a classification scheme that could be used and understood by both experienced and naive readers, specific criteria were developed for normal fibers and those exhibiting Wallerian degeneration, demyelination, hypomyelination, remyelination, and abnormal paranodal myelination. Twenty fibers teased from human sural nerve biopsies were selected as examples of one or more of these categories. Ten readers, including seven having no previous experience with teased fibers, were given a set of instructions and asked to score each fiber for all matching categories. These readers averaged high rates of true positive (56-85%) classifications, while average false positive (3-18%) rates were much lower. Among the three experienced readers, true positive agreements averaged between 75 and 100% across the fiber classifications. False positives were correspondingly low, ranging between 0 and 8%. These results suggest that it is possible to design an easily learned, meaningful scheme for classifying teased nerve fibers.