High-wavenumber FT-Raman spectroscopy for in vivo and ex vivo measurements of breast cancer
Publication: Research - peer-review › Journal article – Annual report year: 2011
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High-wavenumber FT-Raman spectroscopy for in vivo and ex vivo measurements of breast cancer. / Garcia-Flores, A. F.; Raniero, L.; Canevari, R. A.; Jalkanen, Karl J.; Bitar, R. A.; Martinho, H. S.; Martin, A. A.
In: Theoretical Chemistry Accounts, Vol. 130, No. 4-6, 2011, p. 1231-1238.Publication: Research - peer-review › Journal article – Annual report year: 2011
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TY - JOUR
T1 - High-wavenumber FT-Raman spectroscopy for in vivo and ex vivo measurements of breast cancer
A1 - Garcia-Flores,A. F.
A1 - Raniero,L.
A1 - Canevari,R. A.
A1 - Jalkanen,Karl J.
A1 - Bitar,R. A.
A1 - Martinho,H. S.
A1 - Martin,A. A.
AU - Garcia-Flores,A. F.
AU - Raniero,L.
AU - Canevari,R. A.
AU - Jalkanen,Karl J.
AU - Bitar,R. A.
AU - Martinho,H. S.
AU - Martin,A. A.
PB - Springer
PY - 2011
Y1 - 2011
N2 - The identification of normal and cancer breast tissue of rats was investigated using high-frequency (HF) FT-Raman spectroscopy with a near-infrared excitation source on in vivo and ex vivo measurements. Significant differences in the Raman intensities of prominent Raman bands of lipids and proteins structures (2,800-3,100 cm(-1)) as well as in the broad band of water (3,100-3,550 cm(-1)) were observed in mean normal and cancer tissue spectra. The multivariate statistical analysis methods of principal components analysis (PCA) and linear discriminant analysis (LDA) were performed on all high-frequency Raman spectra of normal and cancer tissues. LDA results with the leave-one-out cross-validation option yielded a discrimination accuracy of 77.2, 83.3, and 100% for in vivo transcutaneous, in vivo skin-removed, and ex vivo biopsy HF Raman spectra. Despite the lower discrimination value for the in vivo transcutaneous measurements, which could be explained by the breathing movement and skin influences, our results showed good accuracy in discriminating between normal and cancer breast tissue samples. To support this, the calculated integration areas from the receiver-operating characteristic (ROC) curve yielded 0.86, 0.94, and 1.0 for in vivo transcutaneous, in vivo skin-removed, and ex vivo biopsy measurements, respectively. The feasibility of using HF Raman spectroscopy as a clinical diagnostic tool for breast cancer detection and monitoring is due to no interfering contribution from the optical fiber in the HF Raman region, the shorter acquisition time due to a more intense signal in the HF Raman region, and the ability to distinguish between normal and cancerous tissues.
AB - The identification of normal and cancer breast tissue of rats was investigated using high-frequency (HF) FT-Raman spectroscopy with a near-infrared excitation source on in vivo and ex vivo measurements. Significant differences in the Raman intensities of prominent Raman bands of lipids and proteins structures (2,800-3,100 cm(-1)) as well as in the broad band of water (3,100-3,550 cm(-1)) were observed in mean normal and cancer tissue spectra. The multivariate statistical analysis methods of principal components analysis (PCA) and linear discriminant analysis (LDA) were performed on all high-frequency Raman spectra of normal and cancer tissues. LDA results with the leave-one-out cross-validation option yielded a discrimination accuracy of 77.2, 83.3, and 100% for in vivo transcutaneous, in vivo skin-removed, and ex vivo biopsy HF Raman spectra. Despite the lower discrimination value for the in vivo transcutaneous measurements, which could be explained by the breathing movement and skin influences, our results showed good accuracy in discriminating between normal and cancer breast tissue samples. To support this, the calculated integration areas from the receiver-operating characteristic (ROC) curve yielded 0.86, 0.94, and 1.0 for in vivo transcutaneous, in vivo skin-removed, and ex vivo biopsy measurements, respectively. The feasibility of using HF Raman spectroscopy as a clinical diagnostic tool for breast cancer detection and monitoring is due to no interfering contribution from the optical fiber in the HF Raman region, the shorter acquisition time due to a more intense signal in the HF Raman region, and the ability to distinguish between normal and cancerous tissues.
KW - Linear discriminant analysis
KW - Raman spectroscopy
KW - Principal components analysis
KW - Multivariate statistical analysis
KW - Breast cancer detection
KW - High frequency Raman
U2 - 10.1007/s00214-011-0925-9
DO - 10.1007/s00214-011-0925-9
JO - Theoretical Chemistry Accounts
JF - Theoretical Chemistry Accounts
SN - 1432-881X
IS - 4-6
VL - 130
SP - 1231
EP - 1238
ER -