[Epidemiological features of laryngeal papillomatosis in adults in Moscow]. / Epidemiologicheskie osobennosti papillomatoza gortani u vzroslykh v Moskve.

OBJECTIVE: To evaluate the incidence of laryngeal papillomatosis (LP) and LP recurrence in adults and to determine the risk factors for the development of LP recurrence in adults in Moscow. To solve the tasks set, a survey of patients carried out, including the collection of complaints and anamnesis, a standard examination of the ENT organs, an assessment of the condition of the larynx, and a histological examination. MATERIAL AND METHODS: We conducted a retrospective analysis of the case histories of 299 patients with LP observed and treated at the Sverzhevsky Research and Clinical Institute of Otorhinolaryngology in the period 2010-2020. RESULTS: On average, over the entire study period, the prevalence of PG was 17.80%. It was found that out of 299 patients, 69.6% (n=208) had a relapse of LP. Papilloma of the larynx were more often localized in the glottis. 275 (92%) patients had a widespread form of LP. LP recurrences were significantly more common in women and in patients with an existing cicatricle process in the larynx. The relapse rate was higher in non-smokers (73.5% vs 47.8%; p<0.001). Although the recurrence rate was higher in patients with non-voice occupations (70.6% vs. 52.9%), there was no statistically significant association between relapses and the vocal professions (p=0.125). CONCLUSION: As a result of the study, a number of risk factors for laryngeal papillomatosis recurrent have been identified, and their study should be continued.

[Diagnosis of benign laryngeal tumors using neural network]. / Diagnostika dobrokachestvennykh novoobrazovanii gortani s primeneniem neiroseti.

The article describes our experience in developing and training an artificial neural network based on artificial intelligence algorithms for recognizing the characteristic features of benign laryngeal tumors and variants of the norm of the larynx based on the analysis of laryngoscopy pictures obtained during the examination of patients. During the preparation of data for training the neural network, a dataset was collected, labeled and loaded, consisting of 1471 images of the larynx in digital formats (jpg, bmp). Next, the neural network was trained and tested in order to recognize images of the norm and neoplasms of the larynx. The developed and trained artificial neural network demonstrated an accuracy of 86% in recognizing of benign laryngeal tumors and variants of the norm of the larynx. The proposed technology can be further used in practical healthcare to control and improve the quality of diagnosis of laryngeal pathologies.

[Application of the biofeedback method in the treatment of dysphonia (literature review)]. / Primenenie metoda biologicheskoi obratnoi svyazi pri lechenii disfonii (obzor literatury).

The literature review describes the experience of using the biofeedback method in the treatment of dysphonia of various etiologies. Indications for the use of this method and its effectiveness in a certain contingent of patients are discussed.