Advertisement

European Archives of Paediatric Dentistry

, Volume 18, Issue 1, pp 31–37 | Cite as

Accuracy and evaluation of a new regression equation in predicting the width of unerupted permanent canines and premolar teeth

  • A. BhatnagarEmail author
  • A. A. Sinha
  • S. Chaudhary
  • N. Manuja
  • H. Kaur
  • T. R. Chaitra
Original Scientific Article
  • 86 Downloads

Abstract

Aim

To assess the applicability of two regression equations based on mixed dentition analysis and to propose and evaluate a new regression equation using the mandibular incisors and first permanent molars as predictors in calculating the size of unerupted permanent canines and premolar teeth in school children.

Methods

Dental study casts of 100 children (50 males and 50 females) aged 11–14 years from schools situated in Moradabad, Uttar Pradesh, India were used. The analysis of Tanaka Johnston, Bernabe Flores-Mir and the proposed equation were tested on the casts.

Results

The analysis of Tanaka Johnston and Bernabe Flores-Mir tended to overestimate the mesio-distal width of the canines and premolars. The proposed equation also overestimated but the mean difference showed a closer approximation with the actual measured values compared to the other two equations.

Conclusion

Validating studies with a similar population must be conducted to confirm the applicability and precision of the proposed equation.

Keywords

Dental study cast Mixed dentition analysis Mesio-distal width New regression equation Children 

Notes

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Research involving human participants and/or animals

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. This article does not contain any studies with animals performed by any of the authors.

Informed consent

Informed consent was obtained from all individual participants included in the study.

References

  1. Al-Bitar ZB, Al-Omari IK, Sonbol HN, Al-Ahmad HT, Hamdan AM. Mixed dentition analysis in a Jordanian population. Angle Orthod. 2008;78:670–5.CrossRefPubMedGoogle Scholar
  2. Arslan SG, Dildes N, Kama JD, Genc C. Mixed-dentition analysis in a Turkish population. World J Orthod. 2009;10:135–40.PubMedGoogle Scholar
  3. Bernabé E, Flores-Mir C. Appraising number and clinical significance of regression equations to predict unerupted canine and premolars. Am J Orthod Dentofac Orthop. 2004;126:228–30.CrossRefGoogle Scholar
  4. Bernabé E, Villanueva KM, Flores-Mir C. Tooth width ratios in crowded and noncrowded dentitions. Angle Orthod. 2004;74:765–8.PubMedGoogle Scholar
  5. Bernabe E, Flores-Mir C. Are the lower incisors the best predictors for the unerupted canine and premolars sums? An analysis of a Peruvian sample. Angle Orthod. 2005;75:202–7.PubMedGoogle Scholar
  6. Black GV. Descriptive anatomy of the human teeth, Ch. 16. 4th ed. Philadelphia: SS White Dental Mfg. Co; 1897. p. 16.Google Scholar
  7. Brito FC, Nacif VC, Melgaco CA. Mandibular permanent first molars and incisors as predictors of mandibular permanent canine and premolar widths: applicability and consistency of the method. Am J Orthod Dentofac Orthop. 2014;145:393–8.CrossRefGoogle Scholar
  8. Carey CW. Linear arch dimension and tooth size. Am J Orthod. 1946;35:762–75.CrossRefGoogle Scholar
  9. Dasgupta B, Zahir S. Comparison of two non-radiographic technique of mixed dentition space analysis and evalution of their reliability for Bengali population. Contemp Clin Dent. 2012;3:146–50.CrossRefGoogle Scholar
  10. Flores Mir C, Bernabé E, Camus C, Carhuayo MA, Major PW. Prediction of mesio-distal canine and premolars tooth width in a sample of Peruvian adolescents. Orthod Craniofacial Res. 2001;6:173–6.CrossRefGoogle Scholar
  11. Gianelly AA. Treatment of crowding in the mixed dentition. Am J Orthod Dentofac Orthop. 2002;121:569–71.CrossRefGoogle Scholar
  12. Hunter WS, Priest WR. Errors and discrepancies in measurement of tooth size. J Dent Res. 1960;39(2):405–14.CrossRefPubMedGoogle Scholar
  13. Ibrahim I, Elkateb MA, Wahba NA, El Harouny N. A digital method to predict the mesiodistal widths of canines and premolars in an Egyptian sample. J Clin Pediatr Dent. 2011;35:421–8.CrossRefPubMedGoogle Scholar
  14. Jaiswal AK, Paudel KR, Shrestha SL, Jaiswai S. Prediction of space available for unerupted permanent canine and premolars in a Nepalese population. J Orthod. 2009;36:253–9.CrossRefPubMedGoogle Scholar
  15. Kommineni NK, Reddy CVS, Chandra NS, et al. Mixed dentition analysis—applicability of two non-radiographic methods for Chennai school children. J Int Soc Prev Commun Dent. 2014;4:133–8.CrossRefGoogle Scholar
  16. Ling JYK, Wong RWK. Tanaka-Johnston mixed dentition analysis for southern chinese in Hong Kong. Angle Orthod. 2006;76:632–6.PubMedGoogle Scholar
  17. Martinelli FL, Lima EM, Rocha R, Araujo MST. Prediction of lower permanent canine and premolars width by correlation methods. Angle Orthod. 2005;75:805–8.Google Scholar
  18. Melgaco CA, Araujo MT, Ruellas ACO. Applicability of three tooth size prediction methods for white Brazilians. Angle Orthod. 2006;76:644–9.PubMedGoogle Scholar
  19. Memon S, Fida M. Comparison of three mixed dentition analysis methods in orthodontic patients at AKUH. J Coll Physicians Surg Pak. 2010;20:533–7.PubMedGoogle Scholar
  20. Mittar M, Dua VS, Wilson S. Reliability of permanent mandibular first molars and incisors widths as predictors for the width of permanent mandibular and maxillary canines and premolars. Contemp Clin Dent. 2012;3:8–12.CrossRefGoogle Scholar
  21. Moorrees CFA, Reed RB. Correlations among crown diameters of human teeth. Arch Oral Biol. 1964;9:685–97.CrossRefPubMedGoogle Scholar
  22. Moyers RE. Handbook of orthodontics. 3rd edn. Chicago: Year Book Medical Publishers; 1973.Google Scholar
  23. Proffit WR, Fields HW, Sarver DM. Contemporary orthodontics. 5th edn. St. Louis: Elsevier Mosby; 2013.Google Scholar
  24. Shah S, Bhaskar V, Venkataraghvan K, et al. Applicability of regression equation using widths of mandibular permanent first molars and incisors as a predictor of widths of mandibular canines and premolars in contemporary Indian population. J Indian Soc Pedod Prev Dent. 2013;31:135–40.CrossRefPubMedGoogle Scholar
  25. Sonahita A, Dharma RM, Dinesh MR, et al. Applicability of two methods of mixed dentition analysis in a contemporary Indian population sample. Eur J of Paediatr Dent. 2012;13:29–34.Google Scholar
  26. Srivastava B, Bhatia HP, Singh R, et al. Validation of Tanaka and Johnston’s analysis in western UP Indian population. J Indian Soc Pedod Prev Dent. 2013;31:36–42.CrossRefPubMedGoogle Scholar
  27. Tahere H, Majid S, Fateme M, Fard K, Javed M. Predicting the size of unerupted canines and premolars of the maxillary and mandibular quadrants in an Iranian population. J Clin Pediatr Dent. 2007;32:43–8.CrossRefGoogle Scholar
  28. Tikku T, Khanna R, Sachan K, et al. A new proposed regression equation for mixed dentition analysis using the sum of permanent mandibular four incisors and first molar as a predictor of width of unerupted canine and premolars in a sample of North Indian population. J Orthod Sci. 2013;2:124–9.CrossRefPubMedPubMedCentralGoogle Scholar
  29. Zilberman O, Huggare JV, Parikakis KA. Evaluation of the validity of tooth size and arch width measurements using conventional and three-dimensional virtual orthodontic models. Angle Orthod. 2003;73:301–6.PubMedGoogle Scholar

Copyright information

© European Academy of Paediatric Dentistry 2017

Authors and Affiliations

  • A. Bhatnagar
    • 1
    Email author
  • A. A. Sinha
    • 1
  • S. Chaudhary
    • 1
  • N. Manuja
    • 1
  • H. Kaur
    • 1
  • T. R. Chaitra
    • 1
  1. 1.Department of Paedodontics and Preventive DentistryKothiwal Dental College and Research CentreMoradabadIndia

Personalised recommendations