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Multivariate analysis of endometrial tissue fluorescence spectra

机译:子宫内膜组织荧光光谱的多变量分析

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Background and Objective: The detailed multivariate analysis of endometrial tissue fluorescence spectra was done. Spectra underlying features and classification algorithm were analyzed. An effort has been made to determinate the importance of neopterin component in endometrial premalignization. Study Design/Materials and Methods: Biomedical tissue fluorescence was measured by excitation with the Nd YAG laser third harmonic. Multivariate analysis techniques were used to analyze fluorescence spectra. Biomedical optics group at Vilnius University analyzed the neopterin substance supplied by Institute of Medical Chemistry and Biochemistry of Innsbruck University. Results: Seven statistically significant spectral compounds were found. The classification algorithm classifying samples to histopathological categories was developed and resulted in sensitivity of 80% and specificity 93% for malignant vs. hyperplastic and normal. Conclusions: Fluorescence spectra could be classified with high accuracy. Spectral variation underlying features can be extracted. Neopterin component might play important role in endometrial hyperplasia development
机译:背景和目的:完成子宫内膜组织荧光光谱的详细多变量分析。分析了光谱底层特征和分类算法。已经努力决定内腹素组分在子宫内膜前进症中的重要性。研究设计/材料和方法:通过与Nd YAG激光三次谐波激发测量生物医学组织荧光。多变量分析技术用于分析荧光光谱。维尔纽斯大学的生物医学光学集团分析了Innsbruck大学医学化学与生物化学研究所提供的Neopterin物质。结果:发现七种统计学上显着的光谱化合物。分类算法对组织病理学类别进行分类并产生80%的敏感性,并且恶性对增生和正常的93%的特异性。结论:荧光光谱可以以高精度分类。可以提取光谱变化底层特征。 Neopterin组分可能在子宫内膜增生开发中起重要作用

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