中文摘要：

拉曼光谱方法可以从分子水平反映组织、细胞在化学成分及分子结构上的差异，现已在细胞、组织的结构、功能及病变等方面的研究工作中取得了重大进展。文章首次利用光纤拉曼光谱仪研究了子宫肌瘤、子宫内膜癌、子宫腺肌症等子宫病变组织的拉曼光谱，并与对应正常组织的拉曼光谱进行了比较。结果表明：子宫肌瘤组织中甲硫氨酸C-S键振动引起的拉曼峰分裂成为双峰，包括一个由色氨酸振动引起的峰，并出现了一个胡萝卜素引起拉曼峰，这在正常肌层组织中没有体现出来；子宫内膜癌组织在1447cm^-1处对应着CHz—CH。的变形振动，表现出组织癌变的特征峰；子宫腺肌症组织在骨架α螺旋C-C键的伸缩振动引起的拉曼峰强度明显弱于正常组织，其由C-O键弯曲振动引起的拉曼峰由正常组织的1160cm^-1移至1173cm^-1。以上结果进一步证实了拉曼光谱技术能在分子水平有效鉴别不同的子宫病变，这不仅有助于子宫病变的早期诊断，同时，对子宫疾病的基础研究也是至关重要的。而基于光纤的拉曼光谱技术将有望发展成一种高灵敏的诊断技术。

英文摘要：

The Rarnan spectrum can reflect the differences in chemical components and molecular structures of tissues and cells, and significant progress has been made in the research on structures, functions and diseases of cells and tissues with Rarnan spectroscopy. A fiber Raman spectrometer was used to measure the Rarnan spectra of some uterine malignant, benign, and normal tissues, such as uterine myometrium tissue, uterine myoma tissue, normal endometrium tissue, malignant endometrium tissue and adenomyosis tissue. After having compared the Raman spectrum of pathological tissues with that of the corresponding norreal tissues, we observed that the peak referring to Methionine v（C- S） （Met v（C-S）） splits into two peaks in the uterine myoma tissues caused by the vibrations of tryptophan （Trp） and cartotene, which are not present in the normal tissues. There is a peak at 1 447 cm^-1 in the endometrium tissues corresponding to CH2--CH3 def, which is one of the characteristic peaks of cancerous tissues. For the adenomyosis tissues, a peak caused by v（C--C） skeletal-α helix is obviously weaker than that in normal tissue, and the peak induced by δ（C-O） shifts from 1 160 cm^-1 in normal tissues to 1 173 cm^-1 in the adenomyosis tissues. Thus, it was demonstrated that the technology of Raman spectroscopy is available for distinguishing different pathological uterine tissues at molecular level. This study is not only helpful on early diagnosis of uterine diseases, but also very crucial for the basic research on uterine diseases. And the Raman spectroscopy technology based on optic-fibers has a potential to evolve into a highly sensitive technology for diagnosis.