Deep Learning Neural Modelling as a Precise Method in the Assessment of the Chronological Age of Children and Adolescents Using Tooth and Bone Parameters

Dental age is one of the most reliable methods for determining a patient’s age. The timing of teething, the period of tooth replacement, or the degree of tooth attrition is an important diagnostic factor in the assessment of an individual’s developmental age. It is used in orthodontics, pediatric dentistry, endocrinology, forensic medicine, and pathomorphology, but also in scenarios regarding international adoptions and illegal immigrants. The methods used to date are time-consuming and not very precise. For this reason, artificial intelligence methods are increasingly used to estimate the age of a patient. The present work is a continuation of the work of Zaborowicz et al. In the presented research, a set of 21 original indicators was used to create deep neural network models. The aim of this study was to verify the ability to generate a more accurate deep neural network model compared to models produced previously. The quality parameters of the produced models were as follows. The MAE error of the produced models, depending on the learning set used, was between 2.34 and 4.61 months, while the RMSE error was between 5.58 and 7.49 months. The correlation coefficient R2 ranged from 0.92 to 0.96.

Comparison of Long-term Prognosis in Siblings with Dentinogenesis Imperfecta depending on the Timing of the Treatment Intervention : Case Reports

Dentinogenesis imperfecta (DI) is a hereditary disorder of dentinal defect. It is generally inherited as a single autosomal dominant trait. DI usually affects both the primary and permanent dentition. Affected teeth have various types of discolorations, rapid destruction of the dentin, and severe attrition. In radiologic view, the affected teeth have bulbous crowns, short roots and narrow or closed pulp chambers. The treatment objective is to prevent additional attrition and recover the vertical dimension of occlusion.The aim of this report was to present the long-term prognosis in 15 years in a pair of siblings. Both the patients had DI with tooth attrition and discoloration. Different treatment procedures were used, depending on the difference in the timing of intervention. The first patient saved most of his teeth. The second patient had all of her teeth extracted. This report could be helpful for early diagnosis and overall treatment of DI.

Age Estimation from Attrition of Permanent Molars

Background: The average stage of attrition in permanent first and second molars is an established method of age estimation in the adult population. The study was conducted with an objective of age estimation from the average stage of attrition of permanent molars.Methods: A total of 451 individuals of age more than 20 years were examined. Nepalese individuals with intact first and second permanent molars in the maxillary and mandibular arch on either side were included. The average stage of attrition of the maxillary first and second permanent molars on either side was calculated and subjected to regression analysis to derive equations.Results: Among a total of 451 participants, 231 (51.22%) were females and 220 (48.78%) males, with a mean age of 44.3 ± 13.9 years. There was a strong correlation between age and average stage of attrition of molars. The correlation was stronger for upper molars compared to the lowers. Additionally, the mean of the difference between real age and estimated age was lower for maxillary compared to mandibular molars. Compared to age estimation by univariable regression, multivariable regression had greater accuracy. Similarly, estimation of age from maxillary molars was more accurate as compared to mandibular (difference in years: 3.82 ± 3.03 for maxillary molars and 5.17 ± 4.2 for mandibular molars).Conclusions: Maxillary teeth are better for age estimation and using both maxillary first and second permanent molars gives better accuracy.Keywords: Age estimation by teeth; age reporting; forensic anthropology; forensic dentistry; tooth attrition

Anterior Crossbite: Interceptive Orthodontics for Prevention, Maryland Bridges for Correction

Displacement of teeth (malocclusions) in companion animals becomes important when it results in occlusal traumas and tooth attrition, or soft tissue damage. These defects may be so minor that years elapse before they take their toll on oral health or they may be so major that mastication is impossible. This paper addresses the oral health aspects of veterinary dental orthodontics as it relates to anterior cross bite and interceptive orthodontics.