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    Identification of the main risk factors for the development of disorders of occlusive relationships.
    (Harran University, 2024) Shkarin, Vladimir; Yarygina, Elena; Alekseevna, Makedonova Yuliya; Dyachenko, Denis; Gavrikova, Lyudmila; Yavuz, İzzet
    Introduction: Violations of occlusive relationships are an urgent problem in dental practice due to the high prevalence, complexity of diagnosis and treatment, as well as the connection with common somatic diseases. These pathologies reduce the quality of life of patients and complicate the process of medical rehabilitation. Prevention aimed at early detection of risk factors is especially important. The purpose of this study is to identify the main risk factors for the development of disorders of occlusive relationships. Materials and methods: A randomized controlled trial was conducted with 120 patients aged 18 to 44 years. The study did not include patients with acute infectious diseases, decompensated chronic diseases, oncology, mental disorders and periodontal inflammation. The assessment included clinical examination, cone beam computed tomography (CBCT), electromyography (EMG), ultrasound examination of the temporomandibular joint (TMJ) and occlusion analysis. Methods of 3D modeling and analysis of the symmetry of the skull were used, as well as the Hamburg test to assess the functional state of the TMJ. The results of the clinical examination were subjected to a hierarchical cluster analysis. Results and discussion: Based on the results of the survey, a group of key risk factors affecting the development of occlusive disorders was identified. The analysis of the data showed that the most significant components are the muscular, articular and jaw complexes, including electromyographic parameters, the size of the articular gap and occlusal contacts. The average value of the Hamburg test among patients was 3.79±0.73 points, which indicates a high prevalence of TMJ dysfunction. Cluster analysis made it possible to identify three main groups of risk factors, including muscle, joint and dental signs. Conclusion: The identification of risk factors for the development of occlusive disorders plays a key role in improving the diagnosis and treatment of patients. The use of cluster analysis and modern technologies, such as 3D modeling and artificial intelligence, makes it possible to increase the effectiveness of prevention and treatment of this pathology.
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    Modern methods of diagnosis of occlusive imbalance in patients with temporomandibular myofascial pain syndrome
    (Harran University, 2024) Shkarin, Vladimir; Yarygina, Elena; Alekseevna, Makedonova Yuliya; Dyachenko, Denis; Gavrikova, Lyudmila; Yavuz, İzzet
    Introduction. In recent years, there has been a growing interest in digital methods for diagnosing occlusive imbalance both in Russia and abroad. The development of technologies in this area opens up new prospects for improving the diagnosis and treatment of dental diseases. The purpose of this study is to analyze existing digital methods and devices for diagnosing occlusive imbalance, identify their advantages and disadvantages, and assess the prospects for their implementation in clinical practice. Materials and methods: To achieve this goal, a systematic review of 40 scientific publications covering the period from 2016 to 2024 was conducted. The study includes both domestic and international sources from leading scientific electronic libraries and databases. Data on various types of digital devices such as strain gauges, piezoresistive and piezoelectric transducers, pressure sensors and fiber optic sensors are analyzed. Methods of index evaluation of occlusal contacts have also been studied. Results and discussion: The analysis showed that existing digital technologies for the diagnosis of occlusive imbalance have significant potential to improve the accuracy and effectiveness of diagnosis. Load cells, piezoresistive and piezoelectric transducers, as well as pressure sensors and fiber optic sensors provide various approaches to measuring the occlusion force. Despite their high sensitivity and accuracy, the implementation of these technologies faces challenges such as the complexity of equipping clinics and the insufficient level of digital competencies among doctors. Conclusion: Digital diagnostic technologies for occlusal imbalance have significant potential to improve dental practice. However, for the successful implementation of these methods, it is necessary to overcome the existing difficulties associated with equipment and training of specialists. Further efforts in the field of digital technology development, process automation and advanced training of dentists can contribute to more effective diagnosis and treatment of occlusion disorders.