Introduction: Orthodontic treatment is usually perceived as a lengthy treatment as average treatment time usually last more than a year and may go up to even five years. So, in orthodontic practice the optimum treatment result with minimal treatment time should be the goal of clinicians. Treatment duration varies based on different clinico-environmental factors. Materials & Method: Total 200 cases were randomly selected from the archives of debonded treatment records from the department of orthodontics, Dhulikhel Hospital, Kathmandu University Teaching Hospital. Out of the 200 records, 103 records were fit for the study based on previously set inclusion and exclusion criteria. The selected cases were divided into three different groups: extraction n= 28 (extraction of 4 premolars), partial extraction= 19, (extraction of 1-3 teeth) and non-extraction n=56. Furthermore, the cases were also divided into Class I, II and III malocclusion patterns. After doing the test of normality, descriptive statistics, independent samples t test and ANOVA test were performed to compare the treatment duration with respect to gender, malocclusion pattern and treatment modalities. Result: Out of the 103 selected cases, maximum number of cases were of Class I(60) followed by Class II(37) and Class III(6). There was no statistical significance on treatment duration among male and female subjects (p= 0.933) as well as among different malocclusion pattern ( p= 0.255). On the contrary, there was statistical difference on treatment duration among non extraction, partial extraction and extraction groups ( p=0.0004). The average treatment duration for non extraction, partial extraction and extraction group were 22, 28 and 29 months respectively. Conclusion: Orthodontic treatment duration is shorter for therapies done by non extraction than extraction. The average treatment duration for non extraction and extraction therapy is 22 and 29 months respectively. The treatment duration is not affected by gender and type of malocclusion.
Introduction: Knowledge of the safe zone of mini-implant placement guides clinicians in choosing where to place mini-implants. Several studies evaluated the safe zone for mini-implants placement, but only a very few previous studies have taken different skeletal patterns into account when assessing measurements. Objective: The purpose of this cross-sectional, comparative study was to compare the inter-radicular distance and buccal cortical bone thickness in Class I and Class II skeletal malocclusion patterns. Materials and Methods: A total of 62 CBCT images of patients with Class I and Class II skeletal malocclusion were obtained from the records of the department of Oral medicine and Radiology, Kathmandu University Teaching Hospital. The inter-radicular distance and buccal cortical bone thickness were measured at four different heights (2, 4, 6 and 8 mm) from the CEJ towards the apex. These measurements were measured between different skeletal pattern and gender with independent t-test. The intergroup comparison at different height from CEJ was done with ANOVAfollowed by Tukey's post-hoc test to see the difference within the category. Result: There was a statistically significant difference observed in the inter-radicular distance between the maxillary first and second premolars at a height of 6 mm between Class I and Class II malocclusion patterns (p = 0.03). There were differences observed in the inter-radicular distance of the mandible at a different height based on skeletal malocclusion pattern, which was not statistically significant (p > 0.05). The buccal cortical bone thickness between the maxillary central and lateral incisors at the height of 2 mm from CEJ between Class I and Class II skeletal malocclusion patterns was statistically significant (p = 0.01). The buccal cortical bone thickness of the mandible at different heights based on skeletal malocclusion pattern there were differences observed which were not statistically significant (p > 0.05). Conclusion: The inter-radicular distance and buccal cortical bone thickness could be influenced by different skeletal patterns and tend to increase from the CEJ to the apex in both Class I and Class II skeletal patterns.
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