Noninvasive Diagnosis of Oral Neoplasia Based on Fluorescence Spectroscopy and Native Tissue Autofluorescence

Gillenwater, Ann M.; Jacob, Rhonda F.; Ganeshappa, Ravi; Kemp, Bonnie L.; El‐Naggar, Adel K.; Palmer, J. Lynn; Clayman, Gary L.; Mitchell, Michele Follen; Richards‐Kortum, Rebecca

doi:10.1001/archotol.124.11.1251

Cited by 194 publications

(165 citation statements)

References 15 publications

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“…Several studies have demonstrated that fluorescence spectroscopy can be used for discrimination of normal and malignant oral tissues. [6][7][8][9][10][11][12][13][14][15][16][17][18][19] We have developed a Raman spectroscopy method with specificity and sensitivity better than 95%, for discrimination of normal and malignant tissues in oral cancers. 20,21 Recent Raman microspectroscopy studies of formalin-fixed oral tissues have validated the use of these samples in optical pathology.…”

Section: Introductionmentioning

confidence: 99%

Discrimination of normal, inflammatory, premalignant, and malignant oral tissue: A Raman spectroscopy study

et al. 2005

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Optical spectroscopy methods are fast emerging as potential alternatives for early diagnosis of cancer. A Raman spectroscopy method for discrimination of normal and malignant oral tissues has been developed by us earlier. It is necessary to evaluate and establish the validity of the approach before it can be routinely used. In the present study, our Raman spectroscopy investigations are extended further to evaluate the efficacy of the technique to discriminate between normal, inflammatory, premalignant, and malignant conditions in oral tissue. Spectral profiles of normal, malignant, premalignant, and inflammatory conditions show pronounced differences between one another. Spectra of normal tissues can be attributed mainly to lipids whereas pathological tissue spectra are dominated by proteins. Principal components analysis (PCA) of the spectral data sets belonging to the four different categories showed that scores of factors differentiated between

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Section: Introductionmentioning

confidence: 99%

Discrimination of normal, inflammatory, premalignant, and malignant oral tissue: A Raman spectroscopy study

et al. 2005

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“…7 Furthermore, both practitioners and patients are often reluctant to perform the invasive, sometimes painful biopsies that are required to confirm the presence of precancer or even early cancer. 8 Thus, despite the easy accessibility of the oral cavity to examination, there is no satisfactory method to adequately screen and detect precancers noninvasively. Developing noninvasive and accurate techniques that can facilitate the early detection of neoplastic changes has great potential to improve survival rates and lower treatment costs in persons prone to have malignancies develop in the oral cavity.…”

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confidence: 99%

“…The selection of the excitation and observation filter combinations was governed by previous analyses performed in our laboratory. In two spectroscopic studies, 8,19 we measured the intensity of fluorescence of normal and neoplastic oral sites as a function of excitation and emission wavelength. In this work, we demonstrated that quantitative measurement of tissue fluorescence intensity could yield greater sensitivity and specificity relative to clinical examination, with best results at 350-, 380-, and 400-nm excitation.…”

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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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“…For instance, direct fluorescence visualization has been used in different tissues and organs and successfully distinguished premalignant and malignant lesions that cannot be detected by naked eye [22][23][24][25][26]. In our study, spectroscopy satisfactorily discriminated normal tissue and slightly altered mucosa from cancerous lesions.…”

Section: Discussionmentioning

confidence: 55%

Analysis of surgical margins in oral cancer using in situ fluorescence spectroscopy

et al. 2014

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Noninvasive Diagnosis of Oral Neoplasia Based on Fluorescence Spectroscopy and Native Tissue Autofluorescence

Cited by 194 publications

References 15 publications

Discrimination of normal, inflammatory, premalignant, and malignant oral tissue: A Raman spectroscopy study

Discrimination of normal, inflammatory, premalignant, and malignant oral tissue: A Raman spectroscopy study

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

Analysis of surgical margins in oral cancer using in situ fluorescence spectroscopy

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