Diatoms: A novel cause of granulomatous inflammation of the head and neck.

OBJECTIVE: We report the first 4 cases of intraoral nonnecrotizing granulomatous foreign body reactions to diatoms, plausibly as a result of exogenous material introduced following iatrogenic or traumatic injury. STUDY DESIGN: Clinical and histopathologic findings of 4 intraoral cases of nonnecrotizing granulomatous foreign body reaction to diatoms, single-celled algae belonging to the taxonomic phylum Bacillariophyta, are reported. RESULTS: The lesions presented either in the jaws or in the soft tissue overlying the alveolar bone, in some instances mimicking an inflammatory lesion of odontogenic etiology. Microscopically, the lesions presented as nonnecrotizing granulomatous inflammation associated with either spherical and radially symmetric or rectangular and bilaterally symmetric diatomaceous foreign material. CONCLUSION: The diagnosis of a diatom-associated foreign body reaction necessitates familiarization with the histopathologic features of these organisms to accurately characterize the nature of such lesions.

Anatomy-based algorithms for detecting oral cancer using reflectance and fluorescence spectroscopy.

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.

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

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.

Idiopathic gingival papillokeratosis with crypt formation, a report of 7 cases of a previously undescribed entity: possible unusual oral epithelial nevus?

We report 7 cases of hitherto undescribed keratotic papillary plaques of uncertain etiology involving the gingiva. All 7 cases presented on the anterior maxillary attached gingiva of patients in the second decade. The lesions were asymptomatic and 86% (6 of 7 cases) presented in a bilateral symmetric distribution. Microscopically, the lesions exhibited parakeratosis and papillary acanthosis with parakeratin-filled crypts. No specific etiology such as a factitial habit or a common exogenous agent has been identified. The possibility of a developmental etiology such as an oral epithelial nevus cannot be entirely excluded. We propose the descriptive term idiopathic gingival papillokeratosis with crypt formation (IGPC) for this condition.