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Attenuated total reflectance spectroscopy: a promising technique for early detection of premalignancy

机译:衰减全反射光谱法:一种有前途的早期恶性肿瘤检测技术

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摘要

In last decades infrared spectroscopy has demonstrated potential as a novel technology for early cancer diagnosis. Among the various IR spectroscopic techniques special interest has arisen from methods based on evanescent wave absorbance due to the possibility for in situ and in vivo implementation. The goal of the present study is to examine the potential of Attenuated Total Reflectance (ATR) spectroscopy for early detection of premalignant changes. As a model we used both cell lines and primary cells, which were transformed to be malignant by a retrovirus. Spectral measurements were performed at various post infection stages in parallel with morphological observations. Our results showed gradual and consistent spectral alterations in both cell cultures due to carcinogenesis, which were outlined using Principal Component Analysis (PCA). The main spectral differences appeared in three spectral ranges: at 3000–2800 cm~(?1) (attributed to stretching vibrational modes of lipids and proteins), at 1470–1300 cm~(?1)(attributed to bending overlapping modes of lipids and proteins) and also at the highly overlapping spectral range at 1000–1200 cm~(?1) (attributed to bending and starching vibrational modes corresponding to all types of biological macromolecules). In order to obtain robust unsupervised classifications of the malignant progression we applied approaches of Linear Discriminant Analysis (LDA). The classifications based on Mahalanobis distances allowed us to discern that the accuracy of successful identification of premalignant stages varied between 86.5–97.2%. Our results show that ATR spectroscopy in tandem with proper statistical tools may provide a promising technique for early detectable signals of malignant progression.
机译:在过去的几十年中,红外光谱技术已被证明是一种用于早期癌症诊断的新技术。在各种红外光谱技术中,基于e逝波吸收的方法引起了人们的特别兴趣,这是由于可以原位和体内实施。本研究的目的是检查衰减全反射(ATR)光谱在早期检测恶变前的潜力。作为模型,我们同时使用了细胞系和原代细胞,它们均被逆转录病毒转化为恶性肿瘤。在感染后的各个阶段进行光谱测量,同时进行形态学观察。我们的研究结果表明,两种细胞培养物中由于致癌作用而产生的光谱变化是逐渐一致的,这使用主成分分析(PCA)进行了概述。主要光谱差异出现在三个光谱范围内:在3000–2800 cm〜(?1)(归因于脂质和蛋白质的振动模式的拉伸),在1470–1300 cm〜(?1)(归因于脂质的弯曲重叠模式)和蛋白质)以及在1000-1200 cm〜(?1)高度重叠的光谱范围内(归因于与所有类型的生物大分子相对应的弯曲和淀粉振动模式)。为了获得恶性进展的鲁棒无监督分类,我们应用了线性判别分析(LDA)方法。基于马氏距离的分类使我们能够辨别成功识别恶变前阶段的准确性在86.5–97.2%之间变化。我们的结果表明,结合适当的统计工具进行ATR光谱分析可为早期检测到恶性进展的信号提供有希望的技术。

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