Optimizing the early diagnosis of oral mucosal pathologies

Abstract

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. A prospective randomized clinical study was carried out. Its results provided the possibility to improve the algorithm for oral mucosa examination. The scheme of topography and coding elements of lesion of the lips mucous membrane taking into account the zone of localization of the pathological process. 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.