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All-in-one Raman spectroscopy approach to diagnosis of colorectal cancer: analysis of spectra in the fingerprint regions

机译:多合一拉曼光谱诊断大肠癌的方法:指纹图谱的分析

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摘要

Objectives: Raman spectroscopy yields precise information, not only regarding the secondary structure of proteins but also regarding the discrimination between normal and malignant tissues. There is, however, no standard measurement method. We evaluated the use of a miniaturized, handheld, all-in-one Raman spectrometer with a 1064-nm laser excitation source for the diagnosis of colorectal cancer. The ultimate goal is real-time, in vivo diagnosis. Methods: Tissue samples were obtained from 20 patients who underwent surgery for colorectal cancer. The samples were irradiated with the portable Progeny™ Raman spectrometer, with which the Raman spectra were also obtained. We searched for characteristic Raman shifts and examined whether these shifts could distinguish the cancer tissues. To improve accuracy, we divided the spectra into 100 cm−1 bands and applied principal component analysis (PCA) to each range. We evaluated the contribution of each range for cancer discrimination. Results: Intensities at 1261 and 1427 cm−1 differed significantly between the normal tissues and cancer tissues, but these did not efficiently discriminate the cancer tissues. However, we were able to identify the characteristic spectral range in fingerprint regions; accuracy was 85.1%. Conclusions: Use of the all-in-one type Raman spectrometer can efficiently discriminate colorectal cancer, not on the basis of the intensities at 1261 and 1427 cm−1 but rather on the basis of PCA. Thus, Raman spectroscopy performed using a handheld device has potential to become a clinically powerful tool for producing high-quality data, obtaining highly reproducible measurements, and thus accurately diagnosing colorectal cancer.
机译:目标:拉曼光谱法不仅可以提供蛋白质二级结构的信息,还可以提供正常组织和恶性组织之间的区别的精确信息。但是,没有标准的测量方法。我们评估了带有1044 nm激光激发源的小型手持式多合一拉曼光谱仪在大肠癌诊断中的应用。最终目标是实时进行体内诊断。方法:从20例接受结直肠癌手术的患者中获取组织样本。样品用便携式Progeny™拉曼光谱仪辐照,并由此获得拉曼光谱。我们搜索了特征性的拉曼位移,并检查了这些位移是否可以区分癌症组织。为了提高准确性,我们将光谱划分为100 cm -1 波段,并对每个范围应用主成分分析(PCA)。我们评估了每个范围对癌症鉴别的贡献。结果:正常组织和癌组织之间在1261和1427 cm −1 处的强度存在显着差异,但不能有效地区分癌组织。但是,我们能够识别指纹区域中的特征光谱范围。准确性是85.1%。结论:使用多合一拉曼光谱仪可以有效地区分大肠癌,而不是根据1261和1427 cm -1 处的强度,而是基于PCA。因此,使用手持式设备进行的拉曼光谱法有可能成为临床上功能强大的工具,可用于产生高质量数据,获得高度可重复的测量结果并从而准确诊断大肠癌。

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