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首页> 外文期刊>Vibrational Spectroscopy: An International Journal devoted to Applications of Infrared and Raman Spectroscopy >Detection of benign epithelia, prostatic intraepithelial neoplasia, and cancer regions in radical prostatectomy tissues using Raman spectroscopy
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Detection of benign epithelia, prostatic intraepithelial neoplasia, and cancer regions in radical prostatectomy tissues using Raman spectroscopy

机译:用拉曼光谱检测自由基前列腺切除术组织中良性上皮,前列腺上皮内瘤形成和癌症区

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摘要

In this paper we have studied benign epithelia (BE), prostatic intraepithelial neoplasia (PIN), adenocarcinoma, and different Gleason scores in human prostate bulk tissues using Raman spectroscopy. A careful investigation of the data shows that two main differences in the Raman spectral features of BE, PIN, and cancerous tissues: (i) a strong variations in the band intensities of certain bands and (ii) shift in certain band positions. In order to quantify these variations, Raman data were further analyzed using chemo-metric methods of principal component analysis (PCA) and discriminant function analysis (DFA). The PCA and DFA clearly separated the data into three main distinct pathological groups representing BE, PIN, and cancerous state in tissue. Similarly the analysis of the Raman data of tissues with different Gleason scores shows that the data can be categorized into three distinct groups representing Gleason scores 6, 7, and 8. The results of this study demonstrate that Raman spectroscopy can diagnose different stages of the prostate cancer due to the differences in their biochemical compositions.
机译:在本文中,我们使用拉曼光谱学研究人类前列腺组织中的良性上皮内(BE),前列腺上皮内瘤形成(PIN),腺癌和不同的GLEASOS分数。对数据进行仔细研究表明,RAM的拉曼光谱特征的两个主要差异是,销和癌组织:(i)某些频带和(ii)在某些带位置偏移的频带强度的强变化。为了量化这些变化,使用主成分分析(PCA)的化学度量方法和判别函数分析(DFA)进一步分析拉曼数据。 PCA和DFA显然将数据分成三个主要不同的病理组,代表在组织中的销和癌症状态。类似地,患有不同Gleason分数的组织拉曼数据的分析表明,数据可以分为三个不同的群体,代表Gleason评分6,7和8.结果表明拉曼光谱可以诊断前列腺的不同阶段癌症由于其生化组合物的差异。

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