Evaluation of Skeletal Jaw Relation by Different Cephalometric Angles for Sample of Kurdish Young Adults in Sulaimani City-A Cephalometric Study
Abstract Background/Objectives An accurate evaluation of skeletal sagittal jaw relationship has an important role in orthodontic diagnosis and treatment planning. This study was done to establish cephalometric norms of all types of malocclusion using ANB, Wits appraisal and Beta angle, and evaluate the significance of W angle in comparison to these parameters. Subjects and Methods Ninety pre-treatment lateral cephalograms of male and female patients aged 18-28 years from Sulaimani City that met the sample criteria were traced digitally by the Easy Dent 4 software program. The sample was divided into three groups of skeletal malocclusion, class I, II, and III, based on ANB angle, Beta angle, and Wits appraisal, each group consisting of 30 patients. For each subject the following cephalometric parameters were measured: ANB angle, Beta angle, Wits apprasial, and W angle.Statistical analysis The Statistical Package for Social Sciences was used for analyzing data. ANOVA test was used to compare means of the three study groups. The post-hoc test was used to compare each two groups, Pearson correlation coefficient (r) was used to assess the strength of correlation between two numerical variables, and coefficient of variability was used to measure the extent of variability of each variable in relation to the population. The p value of ≤ 0.05 was considered statistically significant. ResultsSignificant differences were found in the ANB angle, Beta angle, Wits appraisal and W-angle in all 90 patients. The coefficient of variability showed that Wits appraisal was the most variable parameter and W angle was the least variable parameter. Conclusions ANB angle, Beta angle, Wits appraisal and W-angle are significant parameters to assess the sagittal jaw relationship. The use of W angle, along with other parameters, can provide more accurate assessment of the sagittal skeletal jaw relationship as it has the least coefficient of variance; it should therefore enable better diagnosis and treatment planning for patients.