Abstract
Computer technologies are widely implemented in clinical dental practice. The use of computer neural network programs in predicting dental caries as the most common dental disease is quite relevant. The aim – to study the effectiveness of using the “CariesPro” computer program developed using neural network technologies in the individual prediction of dental caries in persons of all ages. Materials and methods. We examined 73 persons aged 6–7, 12–15 and 35–44 years, in which the intensity of dental caries was determined taking into account the number of cavities, the hygiene condition of the oral cavity, the structural and functional acid resistance of the enamel of the teeth according to the enamel resistance test and its functional component. The data were added to a neural based computer software program “CariesPro” designed to predict dental caries. After 1 year, a second examination was performed and the dental caries obtained were compared with the individually predicted computer program. Results. The highest intensity of dental caries was found in persons aged 35–44 – 6.69±0.38, in children 6–7 and 12–15 years it was 3.85±0.27 and 2.15±0.24, respectively (p <0.05). After 1 year, the corresponding intensity indices for persons of these age categories were 8.92±0.52; 6.27±0.35 and 4.23±0.2. The growth rates of caries intensity were, respectively, 2.23±0.25; 2.42±0.15 and 2.09±0.15. After comparing the re-survey data with the computer-programmed estimate, the probable number of carious cavities was found to be 61 true and 12 false predictions from the entire sample, the prediction accuracy of the constructed and trained neural network was 83.56 %. Conclusion. The “CariesPro” computer program, developed using neural network technologies, allows to predict the number of carious lesions in a year with a probability of 83.56 %.
Highlights
Dental caries is one of the most common dental diseases in the world [1, 2]
It seems appropriate to have a predictive direction based on the assessment of caries resistance by structural-functional acid resistance of enamel (SFARE), which depends on the functional state of the pulp and is closely related to centrifugal movement of the dental fluid, especially since the well-known clinical express method of its evaluation – the test of enamel resistance (TER) [7]
We determined the functional component of the structural and functional acid resistance of enamel by the test of enamel resistance (ΔTER), for the detection of which, after the initial evaluation of SFARE, the pulp was stimulated by rubbing into the palatal surface of the same test piece of hypertonic sodium chloride solution for 10 minutes, re-evaluated the SFARE on the vestibular surface of the incisor and determined the difference between the primary and repeated values in points, which was taken as the SFARE functional component [12]
Summary
Dental caries is one of the most common dental diseases in the world [1, 2]. Numerous epidemiological studies conducted in different countries, including Ukraine, show high prevalence rates. In such approaches, without taking into account the level of caries, or, the caries of hard tissues of teeth, it is impossible to predict the individual risk of developing caries in a particular person In this regard, it seems appropriate to have a predictive direction based on the assessment of caries resistance by structural-functional acid resistance of enamel (SFARE), which depends on the functional state of the pulp and is closely related to centrifugal movement of the dental fluid, especially since the well-known clinical express method of its evaluation – the test of enamel resistance (TER) [7]. The use of clinical evaluation of SFARE for TER in predicting dental caries has shown a sufficiently high predictive value
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