中华皮肤科杂志 ›› 1999, Vol. 32 ›› Issue (4): 246-248.

• 论著 • 上一篇    下一篇

鸟巢状发的临床与毛发图像分析

王学民1, 陈聪2, 江以宏1, 王海俊1, 张清祥1, 乐嘉豫1   

  1. 1. 上海市皮肤病性病防治中心、皮肤与化妆品研究室 200050;
    2. 宝洁(中国)有限公司专业法规/医学研究部 200050
  • 收稿日期:1998-07-13 修回日期:1998-10-14 出版日期:1999-08-15 发布日期:1999-08-15

Clinical and Trichogram Image of Bird's Nest Hair

WANG Xuemin1, CHEN Cong2, JIANG Yihong1   

  1. Skin &Cosmetic Research Department, Shanghai Skin Diseases &Sexually Transmitted Diseases Hospital, Shanghai 200050
  • Received:1998-07-13 Revised:1998-10-14 Online:1999-08-15 Published:1999-08-15

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摘要： 目的 分析5例鸟巢状发的临床表现与病发的光镜和扫描电镜检查以及毛发图像.方法 对临床特征进行分析,找出其诊断与鉴别诊断的要点.再将病发按不同的卷曲程度进行分类.结果 (1)光镜特点:①病发缠结成团,但未见毛发打结;②毛发卷曲或扭曲旋转,有的超过180°,有的扭曲成”发夹“状;③毛发粗细不一,部分明显变细;④发梢分叉,毛干中间纵向分裂、变形等.(2)扫描电镜特点:①发干表面有大量碎屑和大量外源性物质粘附;②毛小皮游离缘出现裂缝和翘起,纵向”起皱“;③发干分裂;④发干末梢呈刷状断面.(3)计算机图像分析特点:有92.40%鸟巢状发毛发发生卷曲,且平均直径、双径差和平均直径差明显大于正常者(P<0.05),毛小皮间距则小于正常者.毛发图像也提示鸟巢状发出现异常,并随卷曲程度的加重更趋明显.结论 根据鸟巢状发的临床、光镜和扫描电镜检查和毛发图像分析等结果,认为鸟巢状发毛发表面有异常.

关键词: 毛发疾病, 图像处理,计算机辅助

Abstract: Objective To analyse the cause and pathogenesis of bird's nest hair (BNH) by clinical features, light microscopy(LM), scanning electron microscopy(SEM) examination and trichogram computer image analysis(CIA). Methods The main points of diagnosis and differential diagnosis criteria were found out by analysis of clinical features. According to their bending, the hairs were divided into three groups and examined by LM, SEM and CIA. Results (1)LM: The affected hairs bent and twisted, and some twisted round over 180°with “hairpin like”shape, but the knotting of hairs was not observed. The diameters of hairs varied, some hairs became much thinner. Some fibers splitted at the free end or longitudinally. (2)SEM: There were large quantities of debris and exogenous substances adhering to the surface of the hair shaft. The free edges of cuticules were loosen and fissured. The free end of hairs splitted like a "brush". (3)CIA: There were significant differences between affected and healthy hairs (P<0.05) in the aspects of diameters, bending angle, surface condition, luster, shape, integrity, interval of cuticules and histogram image(P<0.05). Conclusion The results show the abnormality of the surface of hair shaft of BNH.

Key words: Hair diseases, Image processing, computer assisted