Combined reflectance and fluorescence spectroscopy for in vivo detection of cervical pre-cancer -: art. no. 024031

被引:122
作者
Chang, SK
Mirabal, YN
Atkinson, EN
Cox, D
Malpica, A
Follen, M
Richards-Kortum, R
机构
[1] Univ Texas, MD Anderson Canc Ctr, Ctr Biomed Engn, Austin, TX 78712 USA
[2] Univ Texas, MD Anderson Canc Ctr, Dept Pathol, Austin, TX 78712 USA
[3] Univ Texas, MD Anderson Canc Ctr, Dept Biomath, Austin, TX 78712 USA
[4] Massachusetts Gen Hosp, Wellman Ctr Photomed, Boston, MA 02114 USA
[5] Rice Univ, Dept Stat, Houston, TX 77030 USA
关键词
fluorescence; reflectance; tissues; biomedical optics; neoplasia; cervix; in vivo diagnosis;
D O I
10.1117/1.1899686
中图分类号
Q5 [生物化学];
学科分类号
071010 [生物化学与分子生物学]; 081704 [应用化学];
摘要
Optical technologies, such as reflectance and fluorescence spectroscopy, have shown the potential to provide improved point-of-care detection methods for cervical neoplasia that are sensitive, specific, and cost-effective. Our specific goals are to analyze the diagnostic potential of reflectance and fluorescence spectra, alone and in combination, to discriminate normal and precancerous cervical tissue in vivo and to identify which classification features contain significant diagnostic information. Reflectance spectra are measured at four source-detector separations and fluorescence emission spectra are measured at 16 excitation wavelengths, from 324 sites in 161 patients. These 20 spectral features are permuted in all possible combinations of one, two, and three; and classification algorithms are developed to evaluate the diagnostic performance of each combination. Algorithms based on fluorescence spectra alone yield better diagnostic performance than those based on reflectance spectra alone. The combination of fluorescence and reflectance do not significantly improve diagnostic performance compared to fluorescence alone, except in the case of discriminating high-grade precancers from columnar normal tissue. In general, fluorescence emission spectra at 330- to 360-nm and 460- to 470-nm excitation provide the best diagnostic performance for separating all pairs of tissue categories. (c) 2005 Society of Photo-Optical Instrumentation Engineers.
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页数:11
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