| Literature DB >> 26236431 |
Shahrzad Javadinejad1, Hajar Sekhavati2, Roshanak Ghafari3.
Abstract
Background and aims. Tooth development is widely used in determining age and state of maturity. Dental age is of high importance in forensic and pediatric dentistry and also orthodontic treatment planning .The aim of this study was to compare the accuracy of four radiographic age estimation methods. Materials and methods. Orthopantomographic images of 537 healthy children (age: 3.9-14.5 years old) were evaluated. Dental age of the subjects was determined through Demirjian's, Willem's, Cameriere's, and Smith's methods. Differences and correlations between chronological and dental ages were assessed by paired t-tests and Pearson's correlation analysis, respectively. Results. The mean chronological age of the subjects was 8.93 ± 2.04 years. Overestimations of age were observed following the use of Demirjian's method (0.87 ± 1.00 years), Willem's method (0.36 ± 0.87 years), and Smith's method (0.06 ± 0.63 years). However, Cameriere's method underestimated age by 0.19 ± 0.86 years. While paired t-tests revealed significant differences between the mean chronological age and ages determined by Demirjian's, Willem's, and Cameriere's methods (P < 0.001), such a significant difference was absent between chronological age and dental age based on Smith's method (P = 0.079). Pearson's correlation analysis suggested linear correlations between chronological age and dental age determined by all four methods. Conclusion. Our findings indicated Smith's method to have the highest accuracy among the four assessed methods. How-ever, all four methods can be used with acceptable accuracy.Entities:
Keywords: Dental age determination; Forensic dentistry; panoramic radiography
Year: 2015 PMID: 26236431 PMCID: PMC4517308 DOI: 10.15171/joddd.2015.015
Source DB: PubMed Journal: J Dent Res Dent Clin Dent Prospects ISSN: 2008-210X
The mean age of all participants (n = 537), girls (n = 273), and boys (n = 264) calculated by different methods
|
|
|
|
|
| |||||
|
|
| 8.93 | - | 2.04 | 3.90 | 14.50 | |||
|
| 8.95 | - | 2.07 | ||||||
|
| 8.90 | - | 2.01 | ||||||
|
|
| 9.80 | 0.87 | 2.29 | 5.90 | 17.00 | |||
|
| 9.86 | 0.90 | 2.31 | ||||||
|
| 9.75 | 0.85 | 2.15 | ||||||
|
|
| 9.30 | 0.36 | 2.05 | 4.50 | 16.03 | |||
|
| 9.38 | 0.43 | 2.10 | ||||||
|
| 9.21 | 0.31 | 2.06 | ||||||
|
|
| 8.74 | -0.18 | 1.95 | 4.05 | 16.90 | |||
|
| 8.68 | -0.27 | 1.87 | ||||||
|
| 8.79 | -0.11 | 1.91 | ||||||
|
|
| 8.99 | 0.06 | 2.05 | 4.31 | 15.60 | |||
|
| 9.07 | 0.12 | 2.01 | ||||||
|
| 8.91 | 0.00 | 2.05 | ||||||
| Values are mean ± SD. | * Difference was not significant. | ||||||||
Comparing the accuracy of Demirjian’s, Cameriere’s, Smith’s, and Willem’s methods using paired t-tests
|
|
|
|
|
|
| (n = 273) | (n = 264) | (n = 537) | (Total) | |
|
| 0.85±0.98 | 0.90±1.01 | 0.87±1.00 | 0.000 |
|
| 0.31±0.91 | 0.43±0.82 | 0.36±0.87 | 0.000 |
|
| -0.11±0.87 | -0.27±0.85 | -0.19±0.86 | 0.000 |
|
| 0.00±0.81 | 0.12±0.83 | 0.06±0.63 | 0.079* |
|
| 0.54±0.64 | 0.47±0.63 | 0.51±0.74 | 0.000 |
|
| 0.96±0.75 | 1.17±0.72 | 1.06±0.74 | 0.000 |
|
| 0.84±0.75 | 0.78±0.73 | 0.81±0.58 | 0.000 |
|
| 0.42±0.62 | 0.70±0.50 | 0.55±0.53 | 0.000 |
|
| 0.30±0.56 | 0.31±0.51 | 0.30±0.51 | 0.000 |
|
| -0.12±0.62 | -0.38±0.55 | -0.25±0.60 | 0.000 |
Comparing the accuracy of Demirjian’s, Cameriere’s, Smith’s, and Willem’s methods based on Pearson’s correlation analysis
|
|
|
|
| ||
|
|
| 8.90±2.12 | 9.75±2.37 | 0.909 | 0.000 |
|
| 8.95±1.96 | 9.86±2.21 | 0.888 | 0.000 | |
|
| 8.93±2.04 | 9.80±2.29 | 0.900 | 0.000 | |
|
|
| 8.90±2.12 | 9.21±2.19 | 0.910 | 0.000 |
|
| 8.95±1.96 | 9.38±1.88 | 0.910 | 0.000 | |
|
| 8.93±2.04 | 9.30±2.05 | 0.909 | 0.000 | |
|
|
| 8.90±2.12 | 8.80±2.09 | 0.915 | 0.000 |
|
| 8.95±1.96 | 8.69±1.79 | 0.900 | 0.000 | |
|
| 8.93±2.04 | 8.74±1.95 | 0.907 | 0.000 | |
|
|
| 8.90±2.12 | 8.91±2.13 | 0.927 | 0.000 |
|
| 8.95±1.96 | 9.08±1.97 | 0.909 | 0.000 | |
|
| 8.93±2.04 | 8.99±2.05 | 0.919 | 0.000 |