Discrimination between normal and malignant human gastric tissues by Fourier transform infrared spectroscopy

Fujioka, Naoko; Morimoto, Yuji; Arai, Tsunenori; Kikuchi, Makoto

doi:10.1016/j.cdp.2003.11.004

Cited by 145 publications

(82 citation statements)

References 20 publications

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“…Spectroscopy has been also applied as an eYcient tool for these studies. Recently Fourier-transform infrared spectroscopy has been employed to detect cancer tissues from non-cancerous ones in diVerent types of cancer (Lasch et al 1998;Argov et al 2002;Ramesh et al 2001;Salman et al 2004;Cohenford and Rigas 1998;Argov et al 2004;Fujioka et al 2004). Skin has been the subject of numerous studies using optical spectroscopy beginning with the elegant work of Edwards and Duntley (1939).…”

Section: Introductionmentioning

confidence: 99%

Diagnosis of basal cell carcinoma by infrared spectroscopy of whole blood samples applying soft independent modeling class analogy

Khanmohammadi

Nasiri

Ghasemi

et al. 2007

J Cancer Res Clin Oncol

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Attenuated total reflectance-Fourier transform infrared (ATR-FTIR) spectroscopy was applied to discriminate the blood samples obtained from healthy people and those with basal cell carcinoma, demonstrating high accuracy while soft independent modeling class analogy (SIMCA) chemometric technique is benefited. It was aimed to classify the normal case and cancer case blood samples through the use of ATR-FTIR spectroscopy as a rapid method while the sample preparation is so easy in comparison with the common pathologic methods. A total of 72 blood samples, including 32 cancer and 40 normal cases, were analyzed in 1,800-900 cm(-1) spectral region. Results showed 97.6% of accuracy being compared with the current clinical methods. Research results were exemplified with comparable data of other classification methods such as principal component analysis (PCA) and Cluster analysis. The residual errors in prediction (REP) of calibration model for normal and cancerous groups in SIMCA method were 0.00362 and 0.00343, respectively.

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Section: Introductionmentioning

confidence: 99%

Diagnosis of basal cell carcinoma by infrared spectroscopy of whole blood samples applying soft independent modeling class analogy

Khanmohammadi

Nasiri

Ghasemi

et al. 2007

J Cancer Res Clin Oncol

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“…Unfortunately, detailed biochemical analyses of pituitary adenoma composition have not been described so far. The region around 1398 cm −1 was assigned to CH 3 bending modes of proteins and lipids [30]. The remaining two regions, centered at 1042 cm −1 and 1231 cm −1 , can be assigned to P0O stretching modes of PO 2¯g roups [31].…”

Section: Resultsmentioning

confidence: 99%

Label-free differentiation of human pituitary adenomas by FT-IR spectroscopic imaging

et al. 2012

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Fourier transform infrared (FT-IR) spectroscopic imaging has been used to characterize different types of pituitary gland tumors and normal pituitary tissue. Freshly resected tumor tissue from surgery was prepared as thin cryosections and examined by FT-IR spectroscopic imaging. Tissue types were discriminated via k-means cluster analysis and a supervised classification algorithm based on linear discriminant analysis. Spectral classification allowed us to discriminate between tumor and non-tumor cells, as well as between tumor cells that produce human growth hormone (hGH+) and tumor cells that do not produce that hormone (hGH-). The spectral classification was compared and contrasted with a histological PAS and orange G stained image. It was further shown that hGH+ pituitary tumor cells show stronger amide bands than tumor cells that do not produce hGH. This study demonstrates that FT-IR spectroscopic imaging can not only potentially serve as a fast and objective approach for discriminating pituitary gland tumors from normal tissue, but that it can also detect hGH-producing tumor cells.

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“…The use of synchrotron radiation based techniques in such analysis gives to researcher a possibility of obtaining information with good signal-to-noise (S/N) ratio due to the high brilliance of synchrotron radiation. Application of Fourier transform infrared spectroscopy (FTIR) may investigate molecular bonds present in a sample and synchrotron radiation FTIR (SR-FTIR) µ-spectroscopy is the first step to identify structures at subcellular level [1][2][3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Application of μ-FTIR-SR Spectroscopy to Prostate Tissue Analysis

et al. 2009

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The infrared spectromicroscopy is a quite recent technique rapidly developing thanks to the availability of new instruments and new brilliant synchrotron radiation sources in different areas and in particular to biomedical researches. In order to achieve a diffraction limited spatial resolution in tissue samples, we performed experiments at SINBAD, the synchrotron infrared beamline of the Laboratori Nazionali di Frascati. We characterized the chemical composition of prostate tissue samples taken from patients affected by prostate cancer disease. Different sizes of the pinholes were considered for the measurements. In the case of prostate tissue sections the results show the possibility to determine the intensity ratio of the CH2 and CH3 bands set at 2930 cm −1 and 2960 cm −1 , respectively. Experiments were also performed with a pinhole of 5 µm of diameter and the differences in both histological and chemical compositions of such samples were determined.

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Discrimination between normal and malignant human gastric tissues by Fourier transform infrared spectroscopy

Cited by 145 publications

References 20 publications

Diagnosis of basal cell carcinoma by infrared spectroscopy of whole blood samples applying soft independent modeling class analogy

Diagnosis of basal cell carcinoma by infrared spectroscopy of whole blood samples applying soft independent modeling class analogy

Label-free differentiation of human pituitary adenomas by FT-IR spectroscopic imaging

Application of μ-FTIR-SR Spectroscopy to Prostate Tissue Analysis

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