In vivo Raman spectroscopy for breast cancer: diagnosis in animal model

Bitar, Renata Andrade; Martins, Mario Augusto; Ribeiro, D.; Carvalho, Carolina da Silva; Santos, E. A. P.; Ramalho, Leandra Naíra Zambelli; Ramalho, Fernando Silva; Martinho, H.; Martin, Aírton Abrahão

doi:10.1117/12.760089

Cited by 3 publications

(1 citation statement)

References 18 publications

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“…Various techniques based on Raman scattering such as conventional NIR Raman spectroscopy, [15][16][17][18][19][20] surface-enhanced Raman spectroscopy (SERS), 1,2,21,22 and resonance Raman spectroscopy 13,23,24 have been used to analyze breast tumors. They all have in common that they are optimized to the enhancement of the desired Raman signals with respect to the undesired autofluorescence interferences or to the suppression or attenuation of the undesired autofluorescence interferences.…”

Section: Introductionmentioning

confidence: 99%

Breast Tumor Analysis Using Shifted-Excitation Raman Difference Spectroscopy (SERDS)

Gebrekidan

Erber

Hartmann

et al. 2018

Technol Cancer Res Treat

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We used a shifted-excitation Raman difference spectroscopy method for the ex vivo classification of resected and formalin-fixed breast tissue samples as normal (healthy) tissue, fibroadenoma, or invasive carcinoma. We analyzed 8 tissue samples containing invasive carcinoma that were surrounded by normal tissue and 3 tissue samples with fibroadenoma only. We made various measurement sites on various tissue samples, in total 240 measurements for each type of tissue. Although the acquired raw spectra contain enough information to clearly differentiate between normal and tumor (fibroadenoma and invasive carcinoma) tissue, the differentiation between fibroadenoma and invasive carcinoma was possible only after the shifted-excitation Raman difference spectroscopy isolation of pure Raman spectra from the heavily fluorescence interfered raw spectra. We used 784 and 785 nm as excitation wavelengths for the shifted-excitation Raman difference spectroscopy method. The differences in the obtained pure Raman spectra are assigned to the different chemical compositions of normal breast tissue, fibroadenoma, and invasive breast carcinoma. Principal component analysis and linear discriminant analysis showed excellent classification results in the Raman shift range between 1000 and 1800 cm−1. Invasive breast carcinoma was identified with 99.15% sensitivity, and the absence of invasive carcinoma was identified with 90.40% specificity. Tumor tissue in tumor-containing tissue was identified with 100% sensitivity, and the absence of tumor in no-tumor containing tissue was identified with 100% specificity. As gold standard for the determination of the sensitivity and the specificity, we considered the conventional histopathological classification. In summary, shifted-excitation Raman difference spectroscopy could be potentially very useful to support histopathological diagnosis in breast pathology.

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