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通过库贝尔卡-蒙克光谱函数探测人类乳腺组织中疾病引起的DNA和蛋白质变化。

DNA and protein changes caused by disease in human breast tissues probed by the Kubelka-Munk spectral functional.

作者信息

Yang Yuanlong, Celmer Edward J, Koutcher Jason A, Alfano R R

机构信息

Institute for Ultrafast Spectroscopy and Lasers, New York State Center for Advanced Technology for Ultrafast Photonic Materials and Applications, The City College and Graduate School of the City University of New York, 10031, USA.

出版信息

Photochem Photobiol. 2002 Jun;75(6):627-32. doi: 10.1562/0031-8655(2002)075<0627:dapccb>2.0.co;2.

Abstract

Malignant, fibroadenoma, normal and adipose breast tissues were studied using diffuse reflectance spectroscopy. The absorption spectra of the breast tissues were extracted from the diffuse reflectance spectra using the Kubelka-Munk function (K-M function). The spectral features of the K-M function were identified and compared with those of the absorption spectra. The spectral features of the K-M function were assigned to DNA, protein, beta-carotene and hemoglobin (oxygenated and deoxygenated) molecules in the breast tissue. The amplitudes of the K-M function averaged from 275 to 285 nm and from 255 to 265 nm and were found to be different for malignant, fibroadenoma and normal tissues. These differences were attributed to changes in proteins and DNA. A set of critical parameters was determined for separating malignant tissues from fibroadenoma and normal tissues. This approach should hold for other tissue types such as cervix, uterus and colon.

摘要

利用漫反射光谱法对恶性、纤维腺瘤、正常和脂肪乳腺组织进行了研究。使用库贝尔卡-蒙克函数(K-M函数)从漫反射光谱中提取乳腺组织的吸收光谱。识别了K-M函数的光谱特征,并与吸收光谱的特征进行了比较。K-M函数的光谱特征被归因于乳腺组织中的DNA、蛋白质、β-胡萝卜素和血红蛋白(氧化型和脱氧型)分子。K-M函数在275至285纳米以及255至265纳米范围内的平均振幅,发现恶性、纤维腺瘤和正常组织有所不同。这些差异归因于蛋白质和DNA的变化。确定了一组用于区分恶性组织与纤维腺瘤和正常组织的关键参数。这种方法应该适用于其他组织类型,如宫颈、子宫和结肠。

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