Based on currently available literature, clinical examination remains the major method when handling cases of suspected malignancy. However, this method does not allow diagnosing cancer, due to which a large group of patients with possible oral mucosa cancer are referred to an oncologist. The search and use of affordable non-invasive methods for early diagnosis of oral mucosa tumors is an urgent issue facing the health system. The study involved analyzing 134 records of outpatients examined at the Samara Regional Oncological Clinic who were referred by dentists within 2014-2019 from the local polyclinic in Samara due to detection of tumors in oral mucosa and who underwent a biopsy. The patients were divided into two groups according to the examination methods. The inclusion criteria were: detection of various superficial oral mucosa neoplasms; referral from the dentist. The exclusion criteria were as follows: patients with submucosal oral cavity neoplasms referred to the oncologist by other medical specialists or self-referred patients. The control group included 63 patients who, after a conventional examination (including interview, examination, palpation), underwent an incisional biopsy followed by morphological examination at the oncologist’s office. In the major group, in 71 patients at their respective initial dental appointments a special examination algorithm was applied. This algorithm entailed an assessment of the identified risk factors. Indications for biopsy were identified using the histological verification index (HVI). Apart from the conventional examination methods (interview, examination, palpation), autofluorescence stomatoscopy was used, this being done for the purpose of differential diagnostics of inflammation, precancerous and malignant issues, depending on the glow type. In the main group, the initial stages of oral mucosa cancer were detected in 17 patients after biopsy; in the control group – in 4 patients (p=0.004). The developed algorithm used for scoring the patient’s clinical examination data combined with autofluorescence stomatoscopy allowed diagnosing accurately (90% of reliability) precancerous and cancerous diseases, as well as to use invasive research methods (biopsy) strictly following the indications. Aim of study: to improve diagnosis of oral mucosa neoplasms through improvement of the examination algorithm.

Advanced digital technologies and respective software offer dentistry much wider opportunities. Computed tomography, for one, is becoming more and more affordable and almost every dental tomograph has the necessary software installed for dental manipulation 3D planning. Dental implantation in Russia has seen significant development allowing dental implants to be installed even with scarce bone tissue. The purpose of this paper is to offer a review of various methods that can be employed to plan the installation of a dental implant as well as the preparation of surgical templates. Dentistry has always had a close connection with other fields of science and industry, attracting a large number of innovations. Here, we have collected data showing how the treatment procedure is changing through integration of computed diagnostics technologies (CT) and manufacturing (CAD/CAM) technologies. Consequently, we gain access to more efficient and less traumatic dental implantation planning systems, all this being based on accurate data and computer calculations that minimize any potentially negative technological or human factor.