Diagnostic potential of Fourier-transform infrared microspectroscopy and advanced computational methods in colon cancer patients
Diagnostic potential of Fourier-transform infrared microspectroscopy and advanced computational methods in colon cancer patients
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DOI：
10.1117/1.1463051
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发表时间：
2002-04-01
影响因子：
3.5
通讯作者：
Mordechai, S
中科院分区：
文献类型：
--
作者：
Argov, S;Ramesh, J;Mordechai, S
结肠癌是导致发达国家死亡率增加的第三大类癌症。息肉是在大多数结肠癌患者中观察到的一种类型的病变。在这里，我们报告了一个显微镜傅立叶变换红外（FTIR）研究正常，腺瘤性息肉和恶性细胞活检的24例。我们研究的目标是使用FTIR显微光谱和人工神经网络（ANN）分析区分腺瘤性息肉和恶性细胞。FTIR光谱和生物标记物如磷酸盐、RNA/DNA等可用于鉴别正常细胞与腺瘤性息肉和恶性细胞。然而，生物学标志物未能区分腺瘤性息肉和恶性病例。通过采用小波特征和基于ANN的分类器的组合，我们能够将给定组织样本中的不同细胞分类为正常细胞、腺瘤性息肉细胞和癌细胞。正常、腺瘤性息肉和恶性细胞的分类成功率分别为89%、81%和83%。本文还讨论了该方法与病理学方法的比较。(C)2002年，美国光电仪器工程师学会。
Colon cancer is the third leading class of cancer causing increased mortality in developed countries. A polyp is one type of lesion observed in a majority of colon cancer patients. Here, we report a microscopic Fourier transform infrared (FTIR) study of normal, adenomatous polyp and malignant cells from biopsies of 24 patients. The goal of our study was to differentiate an adenomatous polyp from a malignant cell using FTIR microspectroscopy and artificial neural network (ANN) analysis. FTIR spectra and biological markers such as phosphate, RNA/DNA derived from spectra, were useful in identifying normal cells from abnormal ones that consisted of adenomatous polyp and malignant cells. However, the biological markers failed to differentiate between adenomatous polyp and malignant cases. By employing a combination of wavelet features and an ANN based classifier, we were able to classify the different cells as normal, adenomatous polyp and cancerous in a given tissue sample. The percentage of success of classification was 89%, 81%, and 83% for normal, adenomatous polyp, and malignant cells, respectively. A comparison of the method proposed with the pathological method is also discussed. (C) 2002 Society of Photo-Optical Instrumentation Engineers.