Imaging Science in Dentistry

Korean Academy of Oral and Maxillofacial Radiology (대한영상치의학회)
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Accuracy of an equation for estimating age from mandibular third molar development in a Thai population

  • Verochana, Karune (Division of Oral and Maxillofacial Radiology, Faculty of Dentistry, Chiang Mai University) ;
  • Prapayasatok, Sangsom (Division of Oral and Maxillofacial Radiology, Faculty of Dentistry, Chiang Mai University) ;
  • Janhom, Apirum (Division of Oral and Maxillofacial Radiology, Faculty of Dentistry, Chiang Mai University) ;
  • Mahasantipiya, Phattaranant May (Division of Oral and Maxillofacial Radiology, Faculty of Dentistry, Chiang Mai University) ;
  • Korwanich, Narumanas (Division of Comminunity Dentistry, Faculty of Dentistry, Chiang Mai University)
  • Received : 2015.02.11
  • Accepted : 2015.09.16
  • Published : 2016.03.31
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Abstract

Purpose: This study assessed the accuracy of age estimates produced by a regression equation derived from lower third molar development in a Thai population. Materials and Methods: The first part of this study relied on measurements taken from panoramic radiographs of 614 Thai patients aged from 9 to 20. The stage of lower left and right third molar development was observed in each radiograph and a modified Gat score was assigned. Linear regression on this data produced the following equation: Y=9.309+1.673 mG+0.303S (Y=age; mG=modified Gat score; S=sex). In the second part of this study, the predictive accuracy of this equation was evaluated using data from a second set of panoramic radiographs (539 Thai subjects, 9 to 24 years old). Each subject's age was estimated using the above equation and compared against age calculated from a provided date of birth. Estimated and known age data were analyzed using the Pearson correlation coefficient and descriptive statistics. Results: Ages estimated from lower left and lower right third molar development stage were significantly correlated with the known ages (r=0.818, 0.808, respectively, $P{\leq}0.01$). 50% of age estimates in the second part of the study fell within a range of error of ${\pm}1year$, while 75% fell within a range of error of ${\pm}2years$. The study found that the equation tends to estimate age accurately when individuals are 9 to 20 years of age. Conclusion: The equation can be used for age estimation for Thai populations when the individuals are 9 to 20 years of age.

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References

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