Journal List > Korean J Leg Med > v.39(1) > 1087954

Jeong, Heo, Ok, Jeong, and Ahn: Drusini's and Takei's Methods for Age Estimation in Korean Adults

Abstract

Estimation of an individual's age has received considerable attention in forensic science. Several methods have been described, and abundant results have been obtained and evaluated. Among the numerous methods for dental age prediction in adults, the progressive diminution of the coronal pulp cavity and dental attrition have been primarily used. Although the reliability of age estimation methods using teeth has been demonstrated, correlation between methods has not been reported. Therefore, the aim of this study was to evaluate concurrence between Drusini's methods. We reanalyzed the age of 107 patients (64 male, 43 female) using Drusini's method. The ages had been previously estimated as ranging from 24 to 69 years using Takei's method. Our results revealed a strong correlation between the two methods (r=0.762) and suggest both methods to be suitable for application in Korean individuals younger than 50 years old. A previous study has shown Takei's and Drusini's methods to be reliable for forensic purposes. The strong correlation between the two methods in the present study suggests that it would be reasonable to use the most appropriate method for age estimation dependent on oral state.

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Fig. 1.
Measurement of coronal height (CH) and coronal pulp cavity height (CPCH) performed on radiograph using Adobe Photoshop CS5 program.
kjlm-39-1f1.tif
Table 1.
Distribution of study samples according to age and gender
Age group (yr) Male Female Total
21-30 0 3 3
31-40 2 6 8
41-50 17 10 27
51-60 27 14 41
61-70 18 10 28
Total (%) 64 (59.81) 43 (40.19) 107 (100)
Table 2.
Correlation of Takei's and Drusini's methods for males and females by Karl Pearson's correlation coefficients technique
Sex Correlation coefficient (r-value)
Male 0.766
Female 0.747
Total 0.762

P<0.05, by Pearson's correlation.

Table 3.
Correlation of Takei's and Drusini's methods for tooth types by Karl Pearson's correlation coefficients technique
Tooth type Correlation coefficient (r-value)
1st premolar 0.760
2nd premolar 0.752
Total 0.762

P<0.05, by Pearson's correlation.

Table 4.
Inter-rater reliability according to gender by Pearson's correlation coefficients technique
Sex Intra-rater reliability (intra-class correlation coefficient)
Male 0.943
Female 0.937
Total 0.942

P<0.05, by Pearson's correlation.

Table 5.
Correlation of Takei's and Drusini's methods for age groups by Pearson's correlation coefficients technique
Age (yr) Correlation coefficient (r-value)
31-50 0.693
50-70 0.488
Total 0.762

P<0.05, by Pearson's correlation.

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