Spectroscopic detection and evaluation of morphologic and biochemical changes in early human oral carcinoma

Müller, Markus; Valdez, Tulio A.; Georgakoudi, Irene; Backman, Vadim; Fuentes, Cesar F.; Kabani, Sadru; Laver, Nora; Wang, Zimmern; Boone, Charles W.; Dasari, Ramachandra R.; Shapshay, Stanley M.; Feld, Michael S.

doi:10.1002/cncr.11255

Cited by 243 publications

(240 citation statements)

References 37 publications

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“…Also, collagen cross-link decomposition, associated with neoplasia development, 18 contributes to the reduction of fluorescence signal intensity. Mü ller et al 21 have shown that oral cavity carcinoma is accompanied by an increase in epithelial thickness, which reduces the depth of penetration of excitation light that reaches stromal collagen, thus reducing its contribution to the total signal.…”

Section: Tumor Locationmentioning

confidence: 99%

Vision enhancement system for detection of oral cavity neoplasia based on autofluorescence

et al. 2004

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Background. Early detection of squamous cell carcinoma (SCC) in the oral cavity can improve survival. It is often difficult to distinguish neoplastic and benign lesions with standard white light illumination. We evaluated whether a technique that capitalizes on an alternative source of contrast, tissue autofluorescence, improves visual examination.Methods. Autofluorescence of freshly resected oral tissue was observed visually and photographed at specific excitation/ emission wavelength combinations optimized for response of the human visual system and tissue fluorescence properties. Perceived tumor margins were indicated for each wavelength combination. Punch biopsies were obtained from several sites from each specimen. Sensitivity and specificity were evaluated by correlating histopathologic diagnosis with visual impression.Results. Best results were achieved with illumination at 400 nm and observation at 530 nm. Here, sensitivity and specificity were 91% and 86% in discrimination of normal tissue from neoplasia. This compares favorably with white light examination, in which sensitivity and specificity were 75% and 43%.Conclusions. Oral cavity autofluorescence can be easily viewed by the human eye in real time. Visual examination of autofluorescence enhances perceived contrast between normal and neoplastic oral mucosa in fresh tissue resections.

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Section: Tumor Locationmentioning

confidence: 99%

Vision enhancement system for detection of oral cavity neoplasia based on autofluorescence

et al. 2004

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“…[5][6][7][8][9][10] Raman and infrared vibrational spectroscopic techniques have also been exploited for investigating eukaryotic and prokaryotic cells. [11][12][13][14][15] As can be seen from the literature, among these two methods, infrared, probably due to its higher sensitivity, has been most widely used.…”

Section: Introductionmentioning

confidence: 99%

Combined Fourier transform infrared and Raman spectroscopic approach for identification of multidrug resistance phenotype in cancer cell lines

et al. 2006

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Cancer cells escape cytotoxic effects of anticancer drugs by a process known as multidrug resistance (MDR). Identification of cell status by less time-consuming methods can be extremely useful in patient management and treatment. This study aims at evaluating the potentials of vibrational spectroscopic methods to perform cell typing and to differentiate between sensitive and resistant human cancer cell lines, in particular those that exhibit the MDR phenotype. Micro-Raman and Fourier transform infrared (FTIR) spectra have been acquired from the sensitive promyelocytic HL60 leukemia cell line and two of its subclones resistant to doxorubicin (HL60/DOX) and daunorubicin (HL60/ DNR), and from the sensitive MCF7 breast cancer cell line and its MDR counterpart resistant to verapamil (MCF7/VP). Principal components analysis (PCA) was employed for spectral comparison and classification. Our data show that cell typing was feasible with both methods, giving two distinct clusters for HL60-and MCF7-sensitive cells. In addition, phenotyping of HL60 cells, i.e., discriminating between the sensitive and MDR phenotypes, was attempted by both methods. FTIR could not only delineate between the sensitive and resistant HL60 cells, but also gave two distinct clusters for the resistant cells, which required a two-step procedure with Raman spectra. In the case of MCF7 cell lines, both the sensitive and resistant phenotypes could be differentiated very efficiently by PCA analysis of their FTIR and Raman point spectra. These results indicate the prospective applicability of FTIR and micro-Raman approaches in the differentiation of cell types as well as characterization of the cell status, such as the MDR phenotype exhibited in resistant leukemia cell lines like HL60 and MCF7.

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“…However, the stronger peaks in these spectra correspond to collagen and NADH. 26 The intensity ratios of these peaks for normal and malignant samples are plotted in Figure 5. It can be seen that there is substantial difference in the ratio of concentration of collagen to NADH in malignancy, as shown by earlier workers also.…”

Section: Resultsmentioning

confidence: 99%

Optical diagnosis of cervical cancer by fluorescence spectroscopy technique

Chidananda

Satyamoorthy

Rai

et al. 2006

Intl Journal of Cancer

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In the present work, we examine normal and malignant stage IIIB cervical tissue by laser induced fluorescence, with 2 different objectives. (i) Development of the fluorescence spectroscopy technique as a standard optical method for discrimination of normal and malignant tissue samples and, (ii) Optimization of the technique by the method of matching of a sample spectrum with calibration sets of spectra of pathologically certified samples. Laserinduced fluorescence spectra were measured using samples from 62 subjects at different excitation wavelengths. Principal component analysis (PCA) of spectra and intensity ratios of curveresolved fluorescence peaks were tested for discrimination. It was found that PCA of total fluorescence at 325 nm excitation gives specificity and sensitivity over 95%. Use of calibration sets of spectra of histo-pathologically certified samples combined with PCA for matching and pass/fail classification of test samples is shown to have high sensitivity/specificity for routine diagnostic purposes as well as for possible staging of the disease. Further, the multi-component origin of the fluorescence spectra is illustrated by curve resolution and fluorescence spectra of separated proteins of tissue homogenates. ' 2006 Wiley-Liss, Inc. Key words: laser induced fluorescence; optical diagnosis; principal component analysisCervical Cancer is the second leading cancer in females all over the world, standing first in many of the developing countries.1,2 Most patients are diagnosed with cervical cancer through symptoms such as abnormal vaginal bleeding and vaginal discharge. Investigation by Pap smear/colposcopy followed by histopathology confirms the diagnosis. Pap smear is reported to have high false negative (15-40%) rates. 3,4 The extraordinary monotony of the work, large volume of smears in screening applications, inadequate sampling and comparatively smaller cellular changes being overlooked because of fatigue are all reasons ascribed to the high rate of false-negative results. At present, liquid based cytological screening technique ''Thin prep'' aided by Pap Net, an automated computer based visualization technique, seems to have increased the sensitivity of cytological screening. However, the efficiency of thin prep and Pap net are still under scrutiny. 5,6

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Spectroscopic detection and evaluation of morphologic and biochemical changes in early human oral carcinoma

Cited by 243 publications

References 37 publications

Vision enhancement system for detection of oral cavity neoplasia based on autofluorescence

Vision enhancement system for detection of oral cavity neoplasia based on autofluorescence

Combined Fourier transform infrared and Raman spectroscopic approach for identification of multidrug resistance phenotype in cancer cell lines

Optical diagnosis of cervical cancer by fluorescence spectroscopy technique

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