Near-Infrared Raman Spectroscopy for Oral Carcinoma Diagnosis

Oliveira, Ana Paula; Bitar, Renata Andrade; Silveira, Landulfo; Zângaro, Renato Amaro; Martin, Aírton Abrahão

doi:10.1089/pho.2006.24.348

Cited by 74 publications

(53 citation statements)

References 18 publications

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“…Table 3 compares the capabilities of the dispersive Raman spectroscopy in conjunction with a multivariate statistical analysis in diagnostic models for different diseases as reported in the literature. [42][43][44][45] We can see that our results on toxoplasmosis identification agree well with those obtained for other diseases using the same spectroscopic technique.…”

Section: Diagnosis Analysissupporting

confidence: 88%

Near-infrared Raman spectroscopy to detect anti-Toxoplasma gondii antibody in blood sera of domestic cats: quantitative analysis based on partial least-squares multivariate statistics

et al. 2010

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Abstract. Toxoplasmosis is an important zoonosis in public health because domestic cats are the main agents responsible for the transmission of this disease in Brazil. We investigate a method for diagnosing toxoplasmosis based on Raman spectroscopy. Dispersive nearinfrared Raman spectra are used to quantify anti-Toxoplasma gondii ͑IgG͒ antibodies in blood sera from domestic cats. An 830-nm laser is used for sample excitation, and a dispersive spectrometer is used to detect the Raman scattering. A serological test is performed in all serum samples by the enzyme-linked immunosorbent assay ͑ELISA͒ for validation. Raman spectra are taken from 59 blood serum samples and a quantification model is implemented based on partial least squares ͑PLS͒ to quantify the sample's serology by Raman spectra compared to the results provided by the ELISA test. Based on the serological values provided by the Raman/PLS model, diagnostic parameters such as sensitivity, specificity, accuracy, positive prediction values, and negative prediction values are calculated to discriminate negative from positive samples, obtaining 100, 80, 90, 83.3, and 100%, respectively. Raman spectroscopy, associated with the PLS, is promising as a serological assay for toxoplasmosis, enabling fast and sensitive diagnosis.

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Section: Diagnosis Analysissupporting

confidence: 88%

Near-infrared Raman spectroscopy to detect anti-Toxoplasma gondii antibody in blood sera of domestic cats: quantitative analysis based on partial least-squares multivariate statistics

et al. 2010

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“…Principal component analysis (PCA) and linear discriminant analysis (LDA) are examples of algorithms that have been successfully employed to identify different tissue components in mass spectroscopy imaging, 27 Raman spectroscopy, 28,29 and FTIR spectroscopy. 30 Nonlinear techniques have been proposed as more robust alternatives to PCA and LDA for classification of tissue types from image data. 31 With further advances in ADSI instrumentation (more rapid image capture, higher dynamic range, and use of visible light) detailed testing of more robust tissue classification schemes that utilize ADSI data will be justified.…”

Section: Resultsmentioning

confidence: 99%

Transillumination hyperspectral imaging for histopathological examination of excised tissue

Vasefi

Najiminaini

et al. 2011

J. Biomed. Opt.

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“…The bands of 855 and 937 cm -1 are typical characteristics of the collagen spectrum and are due to the proline vibration and to the C-C stretching vibration in the protein structure 11 . In present study, in the regions of Raman shifts 1540 -1620 cm -1 and 1040 -1100 cm -1 , corresponding to DNA's vibrational mode, an increase of spectral intensity was observed in primary melanoma.…”

Section: Discussionmentioning

confidence: 99%

FT-Raman spectroscopy for the differentiation between cutaneous melanoma and pigmented nevus

et al. 2010

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Cutaneous melanoma is the most aggressive type of skin cancer and Ft-Raman spectroscopy has been studied as a potential method that could be a real alternative for early diagnosis of neoplasms. Purpose: To qualify the spectral FT-Raman data, in order to differentiate cutaneous melanoma and pigmented nevus. Methods: For this study, 10 samples of cutaneous melanoma, 9 samples of pigmented nevi, and 10 samples of normal skin were obtained by incisional biopsies performed during plastic surgeries ex vivo, immediately after removing the surgical sample. Results: The FT-Raman spectra of each group presented a high correlation between the elements of the same group, thus favoring the elaboration of spectral averages. When analyzing the spectral standard of each group, the normal skin standard did not show a significant variation between the spectra; the standard of the pigmented nevi group showed significant variation, and the cutaneous melanoma group also showed variation. Through univariate analysis, specific bands were detected for each vibrational mode identified. The discriminatory analysis of the data showed a 75.3% efficiency of the differentiation between the three groups studied. Conclusion: The vibrational modes Polysaccharides, Tyrosine and Amide-I differentiated the melanoma from the pigmented nevus. Key words: Melanoma. Spectrum Analysis, Raman. Nevus, Pigmented. Biopsy. RESUMOO melanoma cutâneo é o câncer de pele mais agressivo, e a espectroscopia FT-Raman tem sido estudada como um método em potencial que pode ser uma verdadeira alternativa no diagnóstico precoce de neoplasias. Objetivo: Qualificar os dados espectrais FT-Raman de modo a diferenciar melanoma cutâneo de nevo pigmentado. Métodos: Foram utilizadas 10 amostras de melanoma cutâneo, obtidas por meio de biopsias incisionais realizadas "ex-vivo"; nove amostras de nevo pigmentado e 10 amostras de pele normal foram coletadas durante cirurgias plásticas. Resultados: Os espectros FT-Raman de cada grupo diagnóstico apresentaram alta correlação entre os elementos do mesmo grupo, o que favoreceu a realização das médias espectrais. Analisando o padrão espectral de cada grupo, o de pele normal não mostrou grande variação entre os espectros; o de nevo pigmentado apresentou variação notável e, o grupo melanoma primário também indicou variação. Por meio de análise univariada foram identificadas bandas específicas para cada modo vibracional identificado. A análise discriminante aos dados mostrou 75,3% de eficiência na diferenciação entre os três grupos estudados. Conclusão: Os modos vibracionais Polissacarídeos (Banda I), Tirosina (Banda 6) e Amida I (Banda 10) diferenciaram o melanoma do nevo pigmentado.

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Near-Infrared Raman Spectroscopy for Oral Carcinoma Diagnosis

Abstract: The algorithm based on PCA has the potential for classifying Raman spectra and can be useful for detection of dysplastic and malign oral lesion.

Cited by 74 publications

References 18 publications

Near-infrared Raman spectroscopy to detect anti-Toxoplasma gondii antibody in blood sera of domestic cats: quantitative analysis based on partial least-squares multivariate statistics

Near-infrared Raman spectroscopy to detect anti-Toxoplasma gondii antibody in blood sera of domestic cats: quantitative analysis based on partial least-squares multivariate statistics

Transillumination hyperspectral imaging for histopathological examination of excised tissue

FT-Raman spectroscopy for the differentiation between cutaneous melanoma and pigmented nevus

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