Optimizing the Early Diagnosis of Oral Mucosal Pathologies

The aim of the investigation was to improve the algorithm for early diagnosis of pathological and malignant processes in the oral mucosa and detection of their true boundaries by involving the method of direct tissue autofluorescence visualization in this algorithm.

Materials and Methods. There was carried out a prospective randomized clinical study whose results provided the possibility to improve the algorithm for oral mucosal examination. The scheme of topography and coding the labial mucosal elements with due account for zones of pathological process localization was developed. The limits of possibilities of direct tissue autofluorescence visualization method in verification of various oral mucosal lesions were evaluated.

Results. The proposed algorithm for examining the patients with pathological changes of the oral mucosa includes visual examination of the oral cavity and detection of pathological processes, topography and coding the mucous membrane elements, visualization and analysis of polymorphism of mucosal epithelial cells using direct tissue autofluorescence visualization method and biopsy material microscopy.

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Shkarednaya O.V., Goryacheva T.P., Chunikhin A.A., Bazikyan E.A., Gazhva S.I. Optimizing the Early Diagnosis of Oral Mucosal Pathologies. Sovremennye tehnologii v medicine 2017; 9(3): 119, https://doi.org/10.17691/stm2017.9.3.16