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激光诱导荧光光谱是一种研究较为广泛的医用光谱技术,已经被用于组织、细胞学的检测。本文利用激光诱导荧光光谱技术,测定了肺癌患者和健康人的血清自体荧光光谱。并采用主成分分析法和判别分析法对荧光光谱数据进行了分析和处理,从大量的光谱数据中提出少量主成分值,并通过主成分值的差别对肺癌的诊断率进行分析。得到的结果为,对肺癌的诊断准确率达到了96%。本文初步证明了利用血清的自体荧光光谱对肺癌早期诊断的可行性。
Laser-induced fluorescence spectroscopy is a widely studied medical spectroscopy technology that has been used in tissue and cytology assays. In this paper, laser-induced fluorescence spectroscopy was used to determine the serum autofluorescence spectra of lung cancer patients and healthy individuals. The principal component analysis (PCA) and discriminant analysis (PCA) were used to analyze and process the fluorescence spectra data. A small amount of principal component values were proposed from a large amount of spectral data. The diagnostic rates of lung cancer were analyzed by the difference of principal component values. The result is that the diagnostic accuracy of lung cancer reached 96%. This article has initially demonstrated the feasibility of using serum autofluorescence spectroscopy for the early diagnosis of lung cancer.