Research Papers: Sensing

Near-infrared spectroscopic applications for diagnosis of endometrial carcinoma

[+] Author Affiliations
Yuhong Xiang, Ke Xu, Zhuoyong Zhang

Capital Normal University, Department of Chemistry, Beijing, China 100048

Yinmei Dai

Capital University of Medical Science, Beijing Obstetrics and Gynecology Hospital, Beijing, China 100006

Peter de B. Harrington

Ohio University, Department of Chemistry and Biochemistry, Center for Intelligent Chemical Instrumentation, Athens, Ohio 45701-2979

J. Biomed. Opt. 15(6), 067002 (November 19, 2010). doi:10.1117/1.3512183
History: Received June 06, 2010; Revised September 13, 2010; Accepted September 23, 2010; Published November 19, 2010; Online November 19, 2010
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NIR spectra of 77 endometrium sections (malignant, hyperplasia, and normal samples) are collected. Partial least squares discriminant analysis (PLS-DA) and fuzzy rule-building expert systems (FuRES) are used for classification based on the NIR spectral data. The classification ability of two classifiers is evaluated by using ten bootstraps and five Latin partitions. The results indicate that the classification ability of FuRES is better than that of PLS-DA. The sensitivity, specificity, and accuracy obtained from FuRES for malignant endometrium diagnosis are 90.0±0.7, 95.0±0.8, and 93.1±0.8%, respectively. The results demonstrate that NIR spectroscopy combined with the FuRES technique is promising for the classification of endometrial specimens and for practical diagnostic applications.

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© 2010 Society of Photo-Optical Instrumentation Engineers

Citation

Yuhong Xiang ; Ke Xu ; Zhuoyong Zhang ; Yinmei Dai and Peter de B. Harrington
"Near-infrared spectroscopic applications for diagnosis of endometrial carcinoma", J. Biomed. Opt. 15(6), 067002 (November 19, 2010). ; http://dx.doi.org/10.1117/1.3512183


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