A Quick Method for Prediction of Mesiodistal width of Unerupted Permanent Teeth in Mazandaran Population

Arash, Valiollah and DabaghSatari, Farhad and Haghanifar, Sina and Subuti, Farhad and Barzegar, Khalil (2014) A Quick Method for Prediction of Mesiodistal width of Unerupted Permanent Teeth in Mazandaran Population. Journal of Mazandaran University of Medical Sciences, 23 (1). pp. 77-85.

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Official URL: http://jmums.mazums.ac.ir/article-1-3387-en.html


Background and purpose: Preventive orthodontics in mixed dentition requires accurate prediction for mesiodistal width of unerupted permanent teeth. In this study, we presented a software for prediction of unerupted permanent canine and premolar mesiodistal width that help orthodontist in precise treatment planning. Material and Methods: For this cross-sectional study, we scanned alginate impression of 60 subjects (30 males, 30 females) by HP optic scanner for producing digital dental cast. The mesiodistal dimensions of teeth on digital casts were measured. The actual tooth measurements were then compared with predicted values using the Sanin and Savara table (S&S) with reference to special tooth such as incisors and molars in each comparison. Subsequently, the new regression equations were tested in a group of 60 individuals to determine their validity. Finally, we defined the best dental reference and regression equation for software . Results: The presented software has potential for accurate space analysis in premolar and canine area. By using y= 0.706+2.153 x equation, canine and premolar size in Sanin & Savara table is very close to our measurement in Iranian subject. In gender difference, there is no significant difference between male and female. Conclusion: Lower central incisor is most accurate reference for premolar and canine size prediction. Canine is more predictable than premolar and also upper arch than lower arch.

Item Type: Article
Uncontrolled Keywords: digital dental cast, mixed dentition analysis, mesiodistal width
Depositing User: Unnamed user with email eprints@mazums.ac.ir
Date Deposited: 04 Jan 2018 18:20
Last Modified: 04 Jan 2018 18:20
URI: http://eprints.mazums.ac.ir/id/eprint/2241

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