Feasibility study for diagnosis of stomach adenoma and cancer using IR spectroscopy |
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| Institution: | 1. Department of Chemistry, College of Natural Sciences, Hanyang University, Haengdang-Dong, Seongdong-Gu, Seoul 133-791, Republic of Korea;2. Department of Internal Medicine, Pathology and Dermatology, Medical College, Korea University, Seoul 152-703, Republic of Korea;3. Korea Institute of Toxicology, Daejon 305-343, Republic of Korea;1. Research Center of Ecological Science & Femtosecond Laser Technology, College of Foundation Science, Harbin University of Commerce, Harbin, 150028, China;2. School of Computer and Information Engineering, Harbin University of Commerce, Harbin, 150028, China;3. National Key Laboratory of Science and Technology on Tunable Laser, Harbin Insitute of Technology, Harbin, 150080, China;1. Department of Neurobiology, Institute of Pharmacology, Polish Academy of Sciences, Smętna 12, 31-343 Kraków, Poland;2. Faculty of Foundry Engineering, AGH University of Science and Technology, ul. Reymonta 23, 30-059 Kraków, Poland;3. Institute of Nuclear Physics, Polish Academy of Science, 31-342 Krakow, Poland;4. Faculty of Chemistry, Jagiellonian University, ul. Ingardena 3, 30-060 Kraków, Poland;5. Department of Chemistry, Hankuk University of Foreign Studies, Yongin, Kyunggi-Do, 449-791, South Korea;1. Dipartimento di Scienze Fisiche e Chimiche, Università dell’Aquila, Via Vetoio 2, 67100, Coppito, L’Aquila, Italy;2. Sorbonne Universities, UPMC, Laboratoire de Réactivité de Surface UMR CNRS 7197, Tour 43-53, 3rd floor, 4 Pl. Jussieu, 75005, Paris, France;3. Service de Bioénergétique, Biologie Structurale et Mécanismes (SB2SM) CEA, iBiTec-S, Biochimie Biophysique et Biologie Structurale (B3S), I2BC, UMR 9198, F-91191 Gif-sur-Yvette, France |
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| Abstract: | The feasibility of infrared (IR) spectroscopy as a biomedical analysis tool for the diagnosis of stomach malignancy including adenoma and cancer has been studied using unstained biopsy samples. Biopsy samples were acquired from 11 subjects. IR spectra were collected for these samples using a microscope (aperture: 25 μm × 25 μm). The samples were stained again and the spots where the IR spectra were collected were re-examined by a pathologist to ensure the spectra represented the correct diagnostic information. The spectral features were compared among the averaged spectra of normal and malignant tissues. The spectral contrasts could be correlated to the differences in the molecular structure of the membrane lipids of the two tissue types as well as the variation in their glycogen contents. However, the spectral features between the adenoma and cancer tissues could not be distinguished. Initially we used principal component analysis (PCA) to examine the degree of separation between tissue types. Soft independent modeling of class analogies (SIMCA) was employed to evaluate the prediction accuracy of IR spectroscopy for the diagnosis of stomach adenoma and cancer. The prediction accuracies for normal, adenoma and cancer tissues were 77%, 30% and 87%, respectively, using SIMCA. IR microscopy successfully differentiated normal and malignant tissues. However, a more sophisticated algorithm will be required in order to effectively extract relevant information for the differentiation between stomach adenoma and cancer. |
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