Fluorescence spectra from cancerous and normal human breast and lung tissues

Alfano, R. R.; Tang, Guichen; Pradhan, Asima; Lam, Wwt; Choy, Daniel S.J.; Opher, Elana

doi:10.1109/jqe.1987.1073234

Cited by 332 publications

(203 citation statements)

References 5 publications

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Section: Introductionmentioning

confidence: 99%

“…Alfano and coworkers and students pioneered the field of optical biopsy using native fluorescence (autofluorescence) spectroscopy for probing electronics states (8,9). The first briefly reported RR spectra of human breast tissue were measured by Alfano in 1987 using 457 and 480 nm excitations (9). Later in 1991, a detailed investigation of Raman spectroscopy was used to probe the vibrational states by Alfano and coworkers in spectra collected from normal and cancerous tissues using nearinfrared (NIR) 1064 nm excitation (10).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Resonance Raman and Raman Spectroscopy for Breast Cancer Detection

Liu

Zhou

Sun

et al. 2013

Technol Cancer Res Treat

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Raman spectroscopy is a sensitive method to detect early changes of molecular composition and structure that occur in lesions during carcinogenesis. The Raman spectra of normal, benign and cancerous breast tissues were investigated in vitro using a near-infrared (NIR) Raman system of 785 nm excitation and confocal micro resonance Raman system of 532 nm excitation. A total number of 491 Raman spectra were acquired from normal, benign and cancerous breast tissues taken from 15 patients. When the 785 nm excitation was used, the dominant peaks in the spectra were characteristic of the vibrations of proteins and lipids.The differences between the normal and cancerous breast tissues were observed in both the peak positions and the intensity ratios of the characteristic Raman peaks in the spectral region of 700-1800 cm 21 . With 532 nm excitation, the resonance Raman (RR) spectra

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Resonance Raman and Raman Spectroscopy for Breast Cancer Detection

Liu

Zhou

Sun

et al. 2013

Technol Cancer Res Treat

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“…Various optical methods have been developed over the years to automatically interpret tissue type and improve biopsy outcome. Among them, spectroscopic-based methods have shown real promise ͑see Alfano et al, 19,20 Yang et al, 21,22 Gupta,23 etc.͒ Diffuse reflectance methods have also shown potential for tissue diagnosis ͑see Bigio et al 24 and Palmer et al, 25 etc.͒. However, neither of the abovementioned methods can probe tissue in depth and therefore their role is limited to guide the biopsy of epithelial malignancies ͑i.e., colon, esophagus, cervix, etc.͒.…”

Section: A Breast Tissue Classificationmentioning

confidence: 99%

Spectral-domain low coherence interferometry/optical coherence tomography system for fine needle breast biopsy guidance

Iftimia

Mujat

Ustun

et al. 2009

Review of Scientific Instruments

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A novel technology and instrumentation for fine needle aspiration ͑FNA͒ breast biopsy guidance is presented. This technology is based on spectral-domain low coherence interferometry ͑SD-LCI͒. The method, apparatus, and preliminary in vitro/in vivo results proving the viability of the method and apparatus are presented in detail. An advanced tissue classification algorithm, preliminarily tested on breast tissue specimens and a mouse model of breast cancer is presented as well. Over 80% sensitivity and specificity in differentiating all tissue types and 93% accuracy in differentiating fatty tissue from fibrous or tumor tissue was obtained with this technology and apparatus. These results suggest that SD-LCI could help for more precise needle placement during the FNA biopsy and therefore could substantially reduce the number of the nondiagnostic aspirates and improve the sensitivity and specificity of the FNA procedures.

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“…[52,53] The fluorescence spectra were obtained with an argon laser beam at 488 nm and power of up to 100 mW focused on a spot of about 0.1 mm in diameter. These fluorescence spectra were shown to be dominated by a broadly peaked curve in the wavelength range from 500 to 650 nm with no significant structure.…”

Section: Spectroscopy Measurementsmentioning

confidence: 99%

“…It has been suggested that the signal differences at selected wavelengths in the emission spectra between tissues pathologically classified as normal and cancerous may provide the means for cancer detection. [52,53] These early spectral measurements did not provide sufficient evidences, however, for cancer detection because the contrast or signal-to-noise ratio was small and sample-to-sample fluctuation was not considered. Additional studies of fluorescence with ultraviolet excitation from 300 to 460 nm on breast tissues provided statistically significant results, which demonstrated that spectral features are very similar among the normal and tumor tissues but the fluorophore concentration and=or fluorescence efficiency may differ in certain spectral regions.…”

Section: Spectroscopy Measurementsmentioning

confidence: 99%