Title: Comparative Analysis of Curve of Spee in Different Malocclusions with Varying Dento-Skeletal Morphological Parameters
Authors: Dr Chandrashekhargouda Patil MDS, Dr Tejashwini Patil BDS, D Ortho, Dr P Sunil Kumar MDS, Dr Reshu Parmar PG Student, Dr Prashanth Y MDS, Dr Sneha Hoshing MDS
DOI: https://dx.doi.org/10.18535/jmscr/v7i6.151
Abstract
Introduction: The influence of craniofacial morphology on the curve of Spee has been investigated, these studies ignore the simultaneous contribution of multiple factors to the individual
variation of the curve. These individual variations play important role in the levelling of the curve which is an everyday occurrence in orthodontic practices and are required for stable results.
Objective: The influence of craniofacial morphology on the variation of the curve of spee includes multiple factors. This plays an important role in the levelling of the curve which is required for retention of achieved results. The study evaluates relationship between the varying depths of curve of spee and dentoskeletal features in malocclusions.
Material and Method: Pre treatment lateral cephalographs and dental casts of 30 orthodontic patients collected and divided into three groups according to different malocclusion. Cephalometric and study cast variables will be measured and subjected to statistical analysis with curve of spee as dependent factor and others as independent variables. Four linear and four angular cephalometric measurements will be done. Four study cast parameters will be measured. Analysis will be performed to determine correlation coefficients between the depth of curve of spee and other variables.
Results: lateral cephalograms and study casts were obtained from 30 patients which includes 10 skeletal class I, 10 skeletal Class II and 10 skeletal class III patients. Multiple regression analysis was performed to see the linear dependence of various studied parameters on curve ofSpee. Corresponding beta -coefficient and their 95% confidence interval (CI) are described. Regression analysis shows that there was no significant correlation between curve of Spee and various parameters. These parameters explained 73% of the total variation of the curve of Spee.
Conclusion: Following conclusions were drawn on the basis of the findings of this study: The depth of curve of Spee was greatly influenced by sagittal maxillomandibular discrepancies. The variation in the depth of curve of Spee significantly influences the overbite, overjet and the inclination of mandibular first molar. SNA, OM, MD5MP, MD6MP, and OJ were negatively correlated and ANB, APDI, ODI, MD6MP, MD7MP, overbite and overjet were positively correlated with depth of curve of Spee for CLASS I SKELETAL. APDI, MD7MP, MD6MP, and OJ were negatively correlated and SNA, ANB, ODI, MD6MP, OM, overbite and overjet were positively correlated with depth of curve of Spee for CLASS II SKELETAL. SNA, ANB, APDI, ODI, OM, MD5MP, MD6MP, OJ and overjet were negatively correlated and MD6MP, MD7MP, and overbite were positively correlated with depth of curve of Spee for CLASS III SKELETAL. The multiple regression analysis showed that the curve of Spee was significantly influenced ODI, overjet and overbite in CLASS I skeletal, overjet and overbite in CLASS II skeletal and only overbite in CLASS III skeletal.
Keywords: craniofacial morphology, Curve of Spee, lateral cephalograms.
