Реєстраційний номер
2125U008961, Матеріали видань та локальних репозитаріїв
Категорія
Текст
Назва роботи
Principles of Categorization of Criteria for Assessing the Quality of Fixed Orthopedic Structures in Dynamics
Принципи категоризації критеріїв оцінку якості незнімних ортопедичних конструкцій в динаміці
Автор
Klitynska Oksana Vasilivna
Gurando Viacheslav R.
Bogdan Ivan Mychailovych
Klitynska Oksana Vasilivna
Gurando Viacheslav R.
Bogdan Ivan Mychailovych
Дата публікації
01-03-2025
Постачальник інформації
Ужгородський національний університет
Першоджерело
https://dspace.uzhnu.edu.ua/jspui/handle/lib/72374
Видання
Видавничий дім«Гельветика» 2025
Опис
Introduction. Over the past decade, the population's need for prosthetic dental care has increased significantly, driven by the high prevalence of included dentition defects, which in some regions of Ukraine exceeds 100%. Few scientific studies have focused on the expert assessment of the quality of fixed orthopedic restorative structures in dynamics to objectively evaluate their condition.Aim. To categorize the criteria for the successful functioning of fixed orthopedic structures in dynamics by applying the developed algorithm of dispensary supervision.Materials and Methods. Spearman's correlation analysis and cluster analysis were employed for statistical analysis. The clustering results were visualized as a dendrogram, with Euclidean distances calculated using the traditional distance formula. Results. To effectively and objectively monitor the condition of fixed restorations, an algorithm for examining patients was proposed, which included: 1. Patient questionnaire. 2. Professional examination by a dentist (dentist questionnaire). 3. Instrumental assessment of fixed restorations' mobility using a modified frequency resonance analysis method. 4. Additional diagnostic methods, particularly radiographic (X-ray) diagnostics.Conclusion. In ranking diagnostic clusters to differentiate cement fixation disorders of fixed orthopedic structures of different types, clinically significant diagnostic clusters were identified, and the statistical significance of each was established.
Додано/оновлено в НРАТ
2026-06-13
