Abstract
Objective: To determine linear regression equation to predict the mesiodistal widths of the permanent canines and premolars based on the sum of the widths of the two permanent mandibular first molars and two mandibular central incisors. Material and Methods: The sample consisted of 800 (400 males and 400 females) permanent dentition casts of Chhattisgarh population. Mesiodistal crown widths of teeth were measured with digital caliper. The correlation and linear regression equations between the calculated four teeth (two permanent mandibular first molars and two central incisors) and the canine-premolars segments of both the arches were developed. Results: No significant differences were found in right and left side of the arch. Sexual dimorphism was significant in teeth sizes with higher mesiodistal dimension in males. A good correlation values varying from 0.51 to 0.67 was found. New standardized regression equations were formulated for the prediction of the mesiodistal widths of unerupted canines and premolars for Chhattisgarh population. Conclusion: Calculating mesiodistal widths of unerupted canine and premolars with help of two permanent mandibular molars and two mandibular central incisors, which erupt early in the oral cavity, can be an alternative and best predictor for the mixed dentition analysis.
Highlights
Mixed dentition space analysis is an important aspect is to supervise the development of functionally stable occlusion and treatment planning
Objective: To determine linear regression equation to predict the mesiodistal widths of the permanent canines and premolars based on the sum of the widths of the two permanent mandibular first molars and two mandibular central incisors
The present study aims to determine new regression equations to predict the sum of mesiodistal width of permanent canines and premolars in Chhattisgarh, Central India population by using two permanent first permanent mandibular molar and two permanent mandibular central incisors as predictor
Summary
Mixed dentition space analysis is an important aspect is to supervise the development of functionally stable occlusion and treatment planning. Prediction of arch length deficit or discrepancy is the most important step in planning a treatment protocol for such clinical situations. This allows the treatment to be initiated and executed swiftly yielding better results [1,2]. Various methods of estimating the sizes of unerupted permanent canines and premolars have been reported in the literature. The present study aims to determine new regression equations to predict the sum of mesiodistal width of permanent canines and premolars in Chhattisgarh, Central India population by using two permanent first permanent mandibular molar and two permanent mandibular central incisors as predictor
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