Please use this identifier to cite or link to this item: https://doi.org/10.1111/j.1601-6343.2008.01431.x
Title: Quantitative analysis of the maxilla and the mandible in hyper- and hypodivergent skeletal class II pattern
Authors: RAHUL NAIR 
Sr Deguchi, T. 
Li, X. 
Katashiba, S.
Chan, Y.H.
Keywords: Angle class II
Cone-beam computed tomography
Hyperdivergent
Hypodivergent
Malocclusion
Issue Date: 2009
Citation: RAHUL NAIR, Sr Deguchi, T., Li, X., Katashiba, S., Chan, Y.H. (2009). Quantitative analysis of the maxilla and the mandible in hyper- and hypodivergent skeletal class II pattern. Orthodontics and Craniofacial Research 12 (1) : 9-13. ScholarBank@NUS Repository. https://doi.org/10.1111/j.1601-6343.2008.01431.x
Abstract: Objectives - To examine the volumetric (size) difference in the maxilla and the mandible of hyper- and hypodivergent skeletal patterns in Angle class II malocclusion. Design - Descriptive retrospective study. The hypothesis is that a hypodivergent mandible has a larger size than a hyperdivergent mandible. Setting and Sample Population - Using cone-beam computed tomography, 20 subjects with Angle class II malocclusion were classified into two groups; 10 of 20 subjects formed a hyperdivergent group while the rest formed a hypodivergent group. Material and methods - Cone-beam computed tomography images were obtained and processed and 3D volume data was measured by one clinician. Dahlberg's technique was used to assess the measurement error and significant difference was set at p < 0.05. Results - No significant differences were found between the volumes of the maxilla and mandible in both groups. Differences were observed in the ratio of mandibular maxillary volumes. The hypodivergent group had a significantly larger (p = 0.014) ratio than the hyperdivergent group. Conclusions - Maxillary and mandibular volumes differ between hyper- and hypodivergent skeletal patterns. © 2009 The Authors.
Source Title: Orthodontics and Craniofacial Research
URI: http://scholarbank.nus.edu.sg/handle/10635/46755
ISSN: 16016335
DOI: 10.1111/j.1601-6343.2008.01431.x
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