Objective: To analyze radiographic predictors for lower third molar eruption among subjects with different anteroposterior skeletal relations and of different age groups. Materials and Methods: In total, 300 lower third molars were recorded on diagnostic digital orthopantomograms (DPTs) and lateral cephalograms (LCs). The radiographs were grouped according to sagittal intermaxillary angle (ANB), subject age, and level of lower third molar eruption. The DPT was used to analyze retromolar space, mesiodistal crown width, space/width ratio, third and second molar angulation (a, c), third molar inclination (b), and gonion angle. The LC was used to determine ANB, angles of maxillar and mandibular prognathism (SNA, SNB), mandibular plane angle (SN/MP), and mandibular lengths. A logistic regression model was created using the statistically significant predictors. Results: The logistic regression analysis revealed a statistically significant impact of b angle and distance between gonion and gnathion (Go-Gn) on the level of lower third molar eruption (P , .001 and P , .015, respectively). The retromolar space was significantly increased in the adult subgroup for all skeletal classes. The lower third molar impaction rate was significantly higher in the adult subgroup with the Class II (62.3%) compared with Class III subjects (31.7%; P , .013). Conclusion:The most favorable values of linear and angular predictors of mandibular third molar eruption were measured in Class III subjects. For valid estimation of mandibular third molar eruption, certain linear and angular measures (b angle, Go-Gn), as well as the size of the retromolar space, need to be considered. (Angle Orthod. 2015;85:577-584.)

No abstract

Subjects with anterior facial growth rotation have greater cervical spine inclination and angulation, higher cervical vertebrae and intervertebral spaces, longer upper cervical spines and shorter distances GoC2 and PmC2. Males show smaller cervical column curvature, but higher cervical vertebrae and greater length of the upper cervical spine.

Background/Aim. A period of adolescence is characterized by turbulent emotional, physical and physiological changes. There are numerous risk factors that may endanger the oral health of adolescents as the influence of parents reduces whilst the influence of the environment and peers increases. Therefore, the main aim of the study was to determine the behavior of adolescents concerning oral health, using a new statistical method -artificial intelligence algorithms. Methods.In the first part of the survey, data on the behavior of adolescents related to oral health were collected. HU DBI (Hiroshima University Dental Behavioral Inventory) questionnaire was used, additionally expanded with three questions. The second part of the study included clinical examination. The research was conducted at the Faculty of Dentistry in Pancevo. The first and second grade students were selected for the observation unit. The total sample consisted of 374 students (128 males and 246 females). We applied special programming language called Python for parsing data, creating a database in digital form, processing data by standard statistical methods and through the SVD (Singular Value Decomposition) method.Results. The artificial intelligence algorithms clustered the respondents in two groups, based on their responses from the HU DBI questionnaire. Thus, the quality of the method and the need for analysis of this type in dental studies are demonstrated and proven.Conclusion. Based on the results obtained through artificial intelligence algorithms, we could conclude that respondents should be rather clustered into characteristic groups and analyzed, than to be divided and observed according to sex, as it is intuitive division. Apstrakt Uvod/Cilј. Period adolescencije karakterišu burne emocionalne, fizičke i fiziološke promene. Javlјaju se brojni faktori rizika koji mogu ugroziti oralno zdravlјe adolescenata jer se uticaj roditelјa smanjuje, a raste uticaj okoline i vršnjaka. Sledstveno, glavni cilј istraživanja bio je da se utvrdi ponašanje adolescenata u vezi oralnog zdravlјa, pri čemu je primenjena nova statistička metodaalgoritmi veštačke inteligencije. 4 Metod. U prvom delu istraživanja, prikuplјeni su podaci o ponašanju adolescenata u vezi sa oralnim zdravlјem. Korišćen je HU DBI upitnik Univerziteta u Hirošimi (Hiroshima University Dental Behavioral Inventory), koji je proširen sa tri pitanja. Drugi deo istraživanja obuhvatio je klinički pregled. Istraživanje je sprovedeno na Stomatološkom fakultetu u Pančevu. Za jedinicu posmatranja izabrani su učenici prvog i drugog razreda srednje škole. Veličina ukupnog uzorka bila je 374 ispitanika (128 ispitanika muškog pola i 246 ispitanika ženskog pola). Za analizu podataka, pravlјenje baze podataka u digitalnoj formi, obradu podataka standardnim statističkim metodama i SVD metodom (Singular Value Decomposition -dekompozicija na singularne vrednosti), korišćen je Piton (Python) program programskog jezika.Rezultati. Algoritmi veštačke inteligencije klasterifikovali su ispitanike u dve grupe, ...

The cervical lordosis becomes more curved and vertebral bodies occupy more space in females, while intervertebral spaces occupy more in males. Skeletal maturity could be estimated following vertebral percentage distribution in the total anterior C2-C5 part.