5 research outputs found

    Anatomy-Based Algorithms for Detecting Oral Cancer Using Reflectance and Fluorescence Spectroscopy

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    OBJECTIVES: We used reflectance and fluorescence spectroscopy to noninvasively and quantitatively distinguish benign from dysplastic/malignant oral lesions. We designed diagnostic algorithms to account for differences in the spectral properties among anatomic sites (gingiva, buccal mucosa, etc). METHODS: In vivo reflectance and fluorescence spectra were collected from 71 patients with oral lesions. The tissue was then biopsied and the specimen evaluated by histopathology. Quantitative parameters related to tissue morphology and biochemistry were extracted from the spectra. Diagnostic algorithms specific for combinations of sites with similar spectral properties were developed. RESULTS: Discrimination of benign from dysplastic/malignant lesions was most successful when algorithms were designed for individual sites (area under the receiver operator characteristic curve [ROC-AUC],0.75 for the lateral surface of the tongue) and was least accurate when all sites were combined (ROC-AUC, 0.60). The combination of sites with similar spectral properties (floor of mouth and lateral surface of the tongue) yielded an ROC-AUC of 0.71. CONCLUSIONS: Accurate spectroscopic detection of oral disease must account for spectral variations among anatomic sites. Anatomy-based algorithms for single sites or combinations of sites demonstrated good diagnostic performance in distinguishing benign lesions from dysplastic/malignant lesions and consistently performed better than algorithms developed for all sites combined.National Institutes of Health (U.S) (R0I-CA097966)National Institutes of Health (U.S) (P4I-RR02594- 21

    Granulomatous foreign body reaction to dermal cosmetic fillers with intraoral migration

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    ObjectiveWe report intraoral granulomatous foreign body reactions in patients treated with calcium hydroxylapatite (CHA) or poly-l-lactic acid (PLA).Study DesignClinical and histopathologic data were obtained from 25 patients who developed orofacial nodules or swelling after dermal filler injections.ResultsAll 25 patients were women aged 35 to78 years (median, 55 years). All had a history of injection of CHA (n = 13) or PLA (n = 12) to the lips, nasolabial area, or mental area. Two patients developed cutaneous nodules at the sites of injections; all others presented with intraoral nodules (labial/buccal or vestibular mucosa) distant from the site of injections, suggestive of filler migration. Five of 21 cases presented with pain. Histopathologically, CHA presented as a diffuse mass of mauve-gray or beige, nonrefractile spherules, and PLA as rice- or spindle-shaped, geometric, refractile bodies within circumscribed nodules.ConclusionsCutaneous injections of CHA and PLA fillers may induce granulomatous reactions presenting as intraoral nodules distant from the injection sites

    Model-based spectroscopic analysis of the oral cavity: impact of anatomy

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    In order to evaluate the impact of anatomy on the spectral properties of oral tissue, we used reflectance and fluorescence spectroscopy to characterize nine different anatomic sites. All spectra were collected in vivo from healthy oral mucosa. We analyzed 710 spectra collected from the oral cavity of 79 healthy volunteers. From the spectra, we extracted spectral parameters related to the morphological and biochemical properties of the tissue. The parameter distributions for the nine sites were compared, and we also related the parameters to the physical properties of the tissue site. k-Means cluster analysis was performed to identify sites or groups of sites that showed similar or distinct spectral properties. For the majority of the spectral parameters, certain sites or groups of sites exhibited distinct parameter distributions. Sites that are normally keratinized, most notably the hard palate and gingiva, were distinct from nonkeratinized sites for a number of parameters and frequently clustered together. The considerable degree of spectral contrast (differences in the spectral properties) between anatomic sites was also demonstrated by successfully discriminating between several pairs of sites using only two spectral parameters. We tested whether the 95% confidence interval for the distribution for each parameter, extracted from a subset of the tissue data could correctly characterize a second set of validation data. Excellent classification accuracy was demonstrated. Our results reveal that intrinsic differences in the anatomy of the oral cavity produce significant spectral contrasts between various sites, as reflected in the extracted spectral parameters. This work provides an important foundation for guiding the development of spectroscopic-based diagnostic algorithms for oral cancer.National Institutes of Health (Grants No. CA097966-03 and No. P41 RR02594-21

    Extraneural Sclerosing Perineurioma of the Buccal Mucosa: A Case Report and Clinicopathologic Review

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    The perineurioma is an infrequently encountered benign peripheral nerve sheath tumor composed of a clonal proliferation of perineurial cells. Rare cases of perineurioma have been reported in the oral cavity. An extraneural sclerosing perineurioma arising in the buccal mucosa of a 17-year-old male is presented. Histopathologically, the tumor is composed of a well circumscribed nodular proliferation of spindle cells arranged in a storiform growth pattern, in some areas subtly arranged around vascular channels. The tumor cells reveal positive immunostaining for epithelial membrane antigen (EMA), collagen type IV and vimentin, and negative immunostaining for S-100 protein, consistent with a perineurial origin. To the best of our knowledge, this case represents the first report of an extraneural sclerosing perineurioma involving the oral cavity
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