Kondepati Venkata Radhakrishna, Oszinda Thomas, Heise H Michael, Luig Klaus, Mueller Ralf, Schroeder Olaf, Keese Michael, Backhaus Juergen
Institute for Instrumental Analysis and Bioanalysis, Mannheim University of Applied Sciences, Windeckstrasse 110, 68163 Mannheim, Germany.
Anal Bioanal Chem. 2007 Mar;387(5):1633-41. doi: 10.1007/s00216-006-0960-x. Epub 2007 Jan 5.
We have investigated the application of near-infrared spectroscopy for detection of human primary pancreatic and colorectal cancers. Spectra from cancerous and normal tissue were collected from a total of 37 surgically resected pancreatic and colorectal patient tissue specimens using a fibre-optic probe. Major spectral differences were observed in the CH-stretching first (6,000-5,400 cm(-1)) and second overtone (9,000-7,900 cm(-1)) regions. By use of artificial neural networks, linear discriminant analysis, and cluster analysis as pattern-recognition methods the spectra were classified into cancerous and normal tissue groups with accuracy up to 89%. We also explored differences between the spectra obtained from colorectal and pancreatic tissue. Spectral data from cancerous and normal tissue were classified organ-specifically into four groups with accuracy between 80 and 83%. Our results indicate that CH-overtone regions, besides serving as diagnostic markers for NIR spectroscopic diagnosis of primary human pancreas and colorectal cancers, are also useful for elucidating differences between the spectra obtained from colorectal and pancreatic cancerous tissue.
我们研究了近红外光谱技术在检测人类原发性胰腺癌和结直肠癌中的应用。使用光纤探头从总共37例手术切除的胰腺和结直肠癌患者组织标本中收集癌组织和正常组织的光谱。在CH伸缩振动的第一泛频(6,000 - 5,400 cm(-1))和第二泛频(9,000 - 7,900 cm(-1))区域观察到主要的光谱差异。通过使用人工神经网络、线性判别分析和聚类分析作为模式识别方法,光谱被分类为癌组织和正常组织组,准确率高达89%。我们还探讨了从结直肠组织和胰腺组织获得的光谱之间的差异。来自癌组织和正常组织的光谱数据按器官特异性分类为四组,准确率在80%至83%之间。我们的结果表明,CH泛频区域除了作为人类原发性胰腺癌和结直肠癌近红外光谱诊断的诊断标志物外,还有助于阐明从结直肠癌组织和胰腺癌组织获得的光谱之间的差异。