Modern methods of diagnosis of occlusive imbalance in patients with temporomandibular myofascial pain syndrome

Abstract

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.

Keywords

• Occlusion
• Digital Radiography
• Strain Gages
• Piezoelectric Devices
• Artificial Intelligence.

Project Number

Russian Science Foundation 12/04/2024 No. 24-25-20098, egional budget (Volgograd region) 31/05/2024 No. 10.

Ethical Statement

№089 15/04/2024 IRB 00005839 IORG0004900 Volgograd State Medical University

Thanks

The study was conducted as part of a scientific project aimed at developing a methodology for neural network analysis and forecasting the risk of occlusal relationship disorders within the framework of implementing the Russian Science Foundation grant No. 24-25-20098 and the Agreement on subsidies from the regional budget (Volgograd region) dated May 31, 2024, No. 10.

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