人乳腺癌组织阵列拉曼谱的模型成像研究

测量了人体乳腺管正常上皮组织及浸润性导管癌组织的阵列(Mapping)拉曼谱;利用作者前期建立的人体乳腺组织拉曼光谱模型,拟合了这些阵列谱,并将得到的归一化的拟合系数映射为灰度值,构建了乳腺组织的阵列拉曼谱模型成像。结果表明,这种模型成像具有较为明确的意义,尤其是细胞质、DNA、细胞间质基谱的拟合系数成像,较为清晰地呈现肌动蛋白、DNA及胶原的空间分布特征以及组织形态结构。与相关系数成像比较,模型成像给出了相似的结果。但模型成像对生化物质含量更敏感,成像分辨率更高。模型成像还显示癌变组织中细胞核明显增大、与细胞质相对比例明显增高,并为发展乳腺肿瘤拉曼诊断方法提供实验依据。

Raman imaging based on morphological model for human breast cancer tissues

Raman Mapping spectra were collected on the samples of the normal human breast duct epithelia and the infiltrating duct carcinoma with the excitation wavelength of 633 nm and fitted with the morphological model which was presented before by the author. The normalized coefficients were calculated and used to make Raman images. Examining these images, the authors find that they show quite clearly the distribution of the chemicals which the basis spectrum was mainly derived from and that the DNA coefficient image also indicates the positions and scales of the cell nucleus, while the bright DNA area is bigger and brighter for the infiltrating duct carcinoma than for the normal breast dust epithelia, suggesting the cell nucleus in cancer tissue are larger than those in normal tissue. The correlation coefficient images were also made on these mapping spectra and examined in comparison with these model images, and it was showed that the model images have higher resolution and sensitivity although they are very similar. This work is helpful to understanding the morphological basis of the breast tissue Raman spectra and to developing the Raman diagnostic method for breast tumor.