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Öğe Cone-beam computed tomography evaluation of relationship between tongue volume and lower incisor irregularity(Oxford Univ Press, 2013) Uysal, Tancan; Yagci, Ahmet; Ucar, Faruk Izzet; Veli, Ilknur; Ozer, TorunThe aim of this study was to evaluate the relationship between the tongue volume and lower incisor irregularity, using cone-beam computed tomography (CBCT), and to identify the possible gender differences. CBCT images of 60 patients between 16 and 36 years of age were selected from 1400 sets of images in the database. Tomography was carried out using iCAT (R) (Imaging Sciences International, Hatfield, Pennsylvania, USA) and segmentation was carried out by using Mimics 10.1 software (Materialise NV, Leuven, Belgium). The tongue volume was calculated by using the volume of the voxels from the scan and the number of voxels selected for a given mask. Lower incisor crowding was measured with the Little's irregularity index and divided into three groups: mild, moderate, and severe. Independent samples t-test, analysis of variance (ANOVA), and Tukey test were used at P < 0.05 level. Pearson correlation coefficients and linear regression model were calculated to determine the correlation between tongue volume and incisor irregularity. No significant gender dimorphism was found for the tongue volume (females: 28.13 +/- 8.54 cm(3) and males: 31.02 +/- 9.75 cm(3)). According to ANOVA, there was statistically significant difference in the tongue volume measurements among subjects with different levels of irregularity. Tukey analysis indicated that mild irregularity group (33.97 cm(3)) showed higher values for tongue volume than severe irregularity group (26.60 cm(3); P = 0.025). The relationship between incisor irregularity and tongue volume was evaluated for both genders and significant inverse correlation (r = -0.429; P = 0.029) was determined between lower incisor irregularity and tongue volume in males. In female group, no signifi cant correlation was determined between tongue volume and incisor irregularity.Öğe Dehiscence and fenestration in patients with different vertical growth patterns assessed with cone-beam computed tomography(E H Angle Education Research Foundation, Inc, 2012) Enhos, Sukru; Uysal, Tancan; Yagci, Ahmet; Veli, Ilknur; Ucar, Faruk Izzet; Ozer, TorunObjective: To test the null hypothesis that the presence of alveolar defects (dehiscence and fenestration) was not different among patients with different vertical growth patterns. Materials and Methods: A total of 1872 teeth in 26 hyper-divergent (mean age: 24.4 +/- 4.8 years), 27 hypo-divergent (mean age: 25.1 +/- 4.5 years), and 25 normo-divergent (mean age: 23.6 +/- 4.1 years) patients with no previous orthodontic treatment were evaluated using cone-beam computed tomography. Axial and cross-sectional views were evaluated with regard to whether dehiscence and/or fenestration on buccal and lingual surfaces existed or not. For statistical analysis, the Pearson chi-square test was used at a P < .05 significance level. Results: According to the statistical analysis, the hypo-divergent group (6.56%) had lower dehiscence prevalence than the hyper-divergent (8.35%) and normo-divergent (8.18%) groups (P = .004). Higher prevalences of dehiscence and fenestration were found on buccal sides in all vertical growth patterns. While fenestration was a common finding for the maxillary alveolar region, dehiscence was a common finding in the mandible in all groups. Conclusion: The null hypothesis was rejected. Although the prevalence of fenestrations was not different, significant differences for dehiscences were found in patients with different vertical growth patterns. (Angle Orthod. 2012;82:868-874.)Öğe Dehiscence and fenestration in skeletal Class I, II, and III malocclusions assessed with cone-beam computed tomography(E H Angle Education Research Foundation, Inc, 2012) Yagci, Ahmet; Veli, Ilknur; Uysal, Tancan; Ucar, Faruk Izzet; Ozer, Torun; Enhos, SukruObjective: To test the null hypothesis that the presence of dehiscence and fenestration was not different among patients with skeletal Class I, II, and III malocclusions. Materials and Methods: In this retrospective study, a total of 123 cone-beam computed tomography (CBCT) images were obtained with an iCAT scanner (Imaging Sciences International, Hatfield, Pa). Patients with normal vertical patterns were classified according to dental malocclusion and ANB angle. Class I comprised 41 patients-21 girls and 20 boys (mean age, 22.4 +/- 4.5 years); Class II comprised 42 patients-22 girls and 20 boys (mean age, 21.5 +/- 4.2 years); and Class III comprised 40 subjects-22 girls and 18 boys (mean age, 22.1 +/- 4.5 years). A total of 3444 teeth were evaluated. Analysis of variance and Tukey's test were used for statistical comparisons at the P <.05 level. Results: Statistical analysis indicated that the Class II group had a greater prevalence of fenestration than the other groups (P <.001). No difference was found in the prevalence of dehiscence among the three groups. Although fenestration had greater prevalence in the maxilla, more dehiscence was found in the mandible for all groups. In Class I, alveolar defects (dehiscence, fenestration) were matched relatively in both jaws. Furthermore, Class II and Class III subjects had more alveolar defects (41.11% and 45.02%, respectively) in the mandible. Dehiscences were seen with greater frequency in the mandibular incisors of all groups. Conclusion: The null hypothesis was rejected. Significant differences in the presence of fenestration were found among subjects with skeletal Class I, Class II, and Class III malocclusions. Fenestrations had greater prevalence in the maxilla, but more dehiscences were found in the mandible. (Angle Orthod. 2012;82:67-74.)Öğe Mandibular anterior bony support and incisor crowding: Is there a relationship?(Mosby-Elsevier, 2012) Uysal, Tancan; Yagci, Ahmet; Ozer, Torun; Veli, Ilknur; Ozturke, AhmetIntroduction: The aim of this study was to test the null hypothesis that increased irregularity of the mandibular incisors is associated with a reduction in the alveolar support on cone-beam computed tomographic sections. Methods: From a sample of 1100 digital volumetric tomographs, 125 tomographs of subjects with Class I malocclusion (mean age, 21.6 +/- 4.8 years) were selected for this study. An irregularity index was used to categorize these tomographs as having mild, moderate, or severe crowding. All tomographs were taken by using an iCAT (Imaging Sciences International, Hatfield, Pa) imaging device. The following parameters were measured on the sections corresponding to the 4 mandibular incisors with the iCAT software: height, thickness, and area of the entire symphysis; height, thickness, and area of the cancellous bone of the symphysis; and distance between the vestibular and lingual cortices. For the statistical evaluation, independent samples t test, analysis of variance, and the Tukey HSD test were used at an alpha level 0.05. The Pearson correlation coefficient and a simple linear regression were calculated to determine the relationship between mandibular anterior bony support and incisor crowding. Results: Almost all mandibular anterior bone measurements were greater in the male subjects than in the female subjects (height of the mandibular symphysis, P<0.001; cancellous bone height, P<0.001). Female subjects with mild crowding had higher values for cancellous bone height (P=0.025) and vestibular cancellous bone thickness (P=0.004) than did those with severe crowding. However, no differences were detected in the male subjects. Additionally, significant correlations were determined between incisor crowding and thickness of the mandibular symphysis, cancellous bone thickness, and the vestibular part of cancellous bone thickness in female subjects. Conclusions: Significant relationships were found between the measures of mandibular incisor crowding and basal bone dimensions in female subjects. Except for the vestibular part of cancellous bone thickness, all mandibular incisor bone measurements were greater in the male subjects than in the female subjects. (Am J Orthod Dentofacial Orthop 2012; 142: 645-53)