利用高斯函数拟合自体荧光光谱诊断乳腺癌的研究  

Diagnosis of Breast Cancer Using Gaussian Function to Fit Autofluorescence Spectrum

作　　者：陈文静 教召航 齐东丽[1] 沈龙海[1] 许诺 谢東非 李宜霏 尤佳华 李奇 冯瑜[1] Chen Wenjing;Jiao Zhaohang;Qi Dongli;Shen Longhai;Xu Nuo;Xie Dongfei;Li Yifei;You Jiahua;Li Qi;Feng Yu(College of Science,Shenyang Ligong University,Shenyang 110158,Liaoning,China)

机构地区：[1]沈阳理工大学理学院,辽宁沈阳110158

出　　处：《中国激光》2022年第20期47-52,共6页Chinese Journal of Lasers

基　　金：科技部外专局项目(G2021006007L);科技部重点研发项目(KJHZ-2019-01L);超硬材料国家重点实验室开放课题资助项目(202004)。

摘　　要：乳腺组织自体荧光光谱法通常采用420~512nm波段的光源,本次实验采用波长为405nm的激光源获取乳腺组织切片的自体荧光光谱,避免了活体检测时脂肪和血液对光谱的干扰。荧光光谱是多种发光基团的叠加光谱,基于荧光光谱对乳腺癌细胞的生化信息进行定性和定量分析时,光谱特征峰不易分辨。本文提出了高斯函数拟合乳腺组织切片荧光光谱的方法,该方法可有效分离重叠峰。与正常组织相比,癌变组织的荧光特征峰出现了明显的红移现象。通过面积比值法分析了正常与癌变乳腺组织中荧光物质的差异,癌变组织在517nm和635nm处的峰面积与492nm处的峰面积之比(A517/A492和A635/A492)分别是正常组织的2.4~5.5倍和5.4~8.5倍,可作为诊断乳腺癌的标准。最后,本文分析了支持向量机(SVM)算法对乳腺组织荧光光谱进行分类的可行性,分类准确率为87.50%,为乳腺癌的快速诊断提供了新方向。Objective Breast cancer,the most common malignant disease with high mortality and morbidity,is the leading cause of death in women worldwide,especially in developing countries.The current methods for breast cancer diagnosis are time-consuming,expensive,and have low sensitivity,and these should be urgently addressed.Spectroscopy appears to offer a new method for clinical detection of normal and cancerous tissues.Fluorescence spectroscopy is a tool for the noninvasive acquisition of biochemical information and extracellular matrix,and its use is rapidly expanding owing to its safety and efficiency.Methods Breast tissue autofluorescence spectroscopy mostly uses a light source in the 420--512nm band,and the tryptophan and tyrosine residues in the tissue are more sensitive to a laser with a wavelength of 405nm.Therefore,this study used a 405nm laser source to obtain autofluorescence spectra of breast tissue sections to avoid the interference of fat and blood on the spectrum during in vivo detection and to improve the spectrum intensity.Various biological macromolecules or molecular groups in human tissues emit fluorescence,and the fluorescence spectrum is a superimposed spectrum of various luminescent substances.Because of the short distance between the fluorescence wavelengths emitted by some fluorescent substances,apeak overlapping phenomenon occurs,and the spectral characteristic peaks are not easy to distinguish.On directly using the fluorescence spectral peak area for quantitative analysis,the quantification is neither objective nor accurate.Therefore,this study proposes a Gaussian function to fit the fluorescence spectrum of breast tissue slices.Because the Gaussian function describes the normal distribution,it effectively separates the overlapping peaks,simplifies the spectrum,and extracts information using the characteristic parameter peaks of the fitted spectrum.The area ratio method was used to analyze the differences in the spectra of the normal and cancerous breast tissues.Finally,after studying several sa

关 键 词：医用光学 高斯函数拟合 乳腺癌 荧光光谱 支持向量机 

分 类 号：O433.4[机械工程—光学工程]