In vivo diagnosis of mammary adenocarcinoma using Raman spectroscopy: an animal model study

R. A. Bitar; D. G. Ribeiro; E. A. P. dos Santos; L. N. Z. Ramalho; F. S. Ramalho; A. A. Martin; H. S. Martinho

doi:10.1117/12.840038

11 February 2010 In vivo diagnosis of mammary adenocarcinoma using Raman spectroscopy: an animal model study

R. A. Bitar, D. G. Ribeiro, E. A. P. dos Santos, L. N. Z. Ramalho, F. S. Ramalho, A. A. Martin, H. S. Martinho

Proceedings Volume 7560, Biomedical Vibrational Spectroscopy IV: Advances in Research and Industry; 756005 (2010) https://doi.org/10.1117/12.840038
Event: SPIE BiOS, 2010, San Francisco, California, United States

Abstract

Breast cancer is the most frequent cancer type in women Worldwide. Sensitivity and specificity of clinical breast examinations have been estimated from clinical trials to be approximately 54 % and 94 %, respectively. Further, approximately 95 % of all positive breast cancer screenings turn out to be false-positive. The optimal method for early detection should be both highly sensitive to ensure that all cancers are detected, and also highly specific to avoid the humanistic and economic costs associated with false-positive results. In vivo optical spectroscopy techniques, Raman in particular, have been pointed out as promising tools to improve the accuracy of screening mammography. The aim of the present study was to apply FT-Raman spectroscopy to discriminate normal and adenocarcinoma breast tissues of Sprague-Dawley female rats. The study was performed on 32 rats divided in the control (N=5) and experimental (N=27) groups. Histological analysis indicated that mammary hyperplasia, cribriform, papillary and solid adenocarcinomas were found in the experimental group subjects. The spectral collection was made using a commercial FT-Raman Spectrometer (Bruker RFS100) equipped with fiber-optic probe (RamProbe) and the spectral region between 900 and 1800 cm^-1 was analyzed. Principal Components Analysis, Cluster Analysis, and Linear Discriminant Analysis with cross-validation were applied as spectral classification algorithm. As concluding remarks it is show that normal and adenocarcinoma tissues discriminations was possible (correct proportion for Transcutaneous collection mode was 80.80% and for "Open Sky" mode was 91.70%); however, a conclusive diagnosis among the four lesion subtypes was not possible.

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R. A. Bitar, D. G. Ribeiro, E. A. P. dos Santos, L. N. Z. Ramalho, F. S. Ramalho, A. A. Martin, and H. S. Martinho "In vivo diagnosis of mammary adenocarcinoma using Raman spectroscopy: an animal model study", Proc. SPIE 7560, Biomedical Vibrational Spectroscopy IV: Advances in Research and Industry, 756005 (11 February 2010); https://doi.org/10.1117/12.840038

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