Age estimation by Willem’s method in age group of 6-12 year old children- a cross sectional study

  • pitambra sahu MDS IIIyr dept of pediatric and preventive dentistry, Govt college of dentistry,indore
  • gayathri prabakaran senior assistant professor,MGM Govt Hospital,Trichy
  • Ashish Saxena prof and head,dept of pediatric and preventive dentistry,govt college of dentistry, indore,MP
  • ajay parihar prof and head, dept of Oral medicine and radiology,govt college of dentistry, indore
  • neha verma
  • shikhar pratap chauhan
Keywords: age estimation, willems method, over and under estimation of age

Abstract

Aim and objective :

This article focuses on Willems method of age estimation in age group of 6-12 year old children.

 

Material and methods:

25 orthopantomagram of children aged 6-12 year old children were collected from the patients visiting the Department of Pediatric and Preventive dentistry, government college of Dentistry, Indore.

 

Results:

Comparison of the Dental age (DA)  using  the Willems method, the CA and differences between Dental age and Chronological age  (DA and CA) of both gender and age groups .The independent samples t‑test results showcased that the mean CA was  1.81  for males and 2.22 for females and the mean DA was 1.97 for males and 1.64 for females. This mean dictated an under aging of the entire sample as by about 0.58 years. Independent t‑test showed that these differences were statistically not significant as the p value is less (P > 0.05).

Pearson’s correlation test showed  r value for overall data  as 0.86, for male as 0.87 and for female as 0.88. The p value was statistically significant in overall data  and male (<0.001).

 

Conclusion:

 

It is important to realize that no age estimation method will accurately determine the exact age for every individual since development naturally varies between individuals. One of the most important aspect of DA estimation is to remember that one should not restrict to only one age estimation technique, but to apply different techniques available and perform repetitive measurements and calculations. Also the sample size should be larger as compared to the present study, as well as equal numbers of both male and female should be studied.

References

1. Mohammed RB, Krishnamraju PV, Prasanth PS, Sanghvi P, Lata Reddy MA, Jyotsna S. Dental age estimation using Willems method: A digital orthopantomographic study. Contemp ClinDent 2014;5:371-6.
2. Olze A, Bilang D, Schmidt S et al Validation of common classification systems for assessing the mineralization of third molars. Int J Legal Med.2005
3. Willems G, Van Olmen A, Spiessens B, Carels C Dental age estimation in Belgian children: Demirjian’s technique revisited. J Forensic Sci 2001 46:15064J.
4. Willems G, Ramanan N, Thevissen P, Fieuws S (2012) Dental age estimation in Japanese individuals combining permanent teeth and third molars. J Forensic Odontostomatol 30 (2):34–39
5. Grover S, Marya CM, Avinash J, Pruthi N (2012) Estimation of dental age and its comparison with chronological age: accuracy of two radiographic methods. Med Sci Law.
6. Ye X, Jiang F, Sheng X et al (2014) Dental age assessment in 7-14-year-old Chinese children: comparison of Demirjian and Willems methods. Forensic Sci Int.
7. Maber M, Liversidge HM, Hector MP. Accuracy of age estimation of radiographic methods using developing teeth. Forensic Sci Int 2006;159 Suppl 1:S68‑73.
8. Liversidge HM. Dental age revisited. In: Irish JD, Nelson GC,editors. Technique and Application in Dental Anthropology.Cambridge: Cambridge University Press; 2008. p. 234‑52.
9. Cameriere R, Ferrante L, Liversidge HM, Prieto JL, Brkic H.Accuracy of age estimation in children using radiograph of developing teeth. Forensic Sci Int 2008;176:173‑7.
10. Maber M, Liversidge HM, Hector MP. Accuracy of age estimation of radiographic methods using developing teeth. Forensic Sci Int 2006; 159 (Suppl. 1):S68–S73.
11. Galić I, Vodanović M,Cameriere R, Nakaš E,Galić E, Selimović E, Brkić H Accuracy of Cameriere, Haavikko, and Willems radiographic methods on age estimation on Bosnian–Herzegovian children age groups 6–13 Int J Legal Med
12. Patnana AK, Vabbalareddy RS, Vanga NRV. Evaluating the Reliability of Three Different Dental Age Estimation Methods in Visakhapatnam Children. Int J Clin Pediatr Dent 2014;7(3):186-191.
13. Mani S A, Naing N, John J, Abdul R Comparison of two methods of dental age estimation in 7–15-year-old Malays International Journal of Paediatric Dentistry 2008; 18: 380–388
14. El-Bakary A.A, Hammad S.M , Mohammed F., Dental age estimation in Egyptian children, comparison between two methods, J. Forensic Legal Med. 17 (2010) 363367
15. Galic I , Vodanovic M , Cameriere R, Nakas E., Galic E. , Selimovic E. , et al., Accuracy of Cameriere, Haavikko, and Willems radiographic methods on age estimation on Bosnian-Herzegovian children age groups 6–13, Int. J. Legal Med. 125 (2011) 315–321.
16. Ambarkovaa V, Galic I, Vodanovićc M, Biočina-Lukendad D, Brkićc H. Dental age estimation using Demirjian’s and Willems methods: cross-sectional study on children from the Former Yugoslav Republic of Macedonia. Forensic Sci Int 2014;234:187.
17. Gupta S, Mehendiratta M, Rehani S,Kumra M, Nagpal R, Gupta R. Age estimation in Indian children and adolescents in the NCR region of Haryana: A comparative study. J Forensic Dent Sci 2015;7:253-8.
18. Hegde S, Patodia A, Dixit U. Willems I vs Willems II: A comparative study of accuracy in 5±15 year old Indian children. Forensic Sci Int. 2016; 266: 117±122. https://doi.org/10.1016/j.forsciint.2016.05.012 PMID: 27258920
19. Javadinejad S, Sekhavati H, Ghafari R. A comparison of the accuracy of four age estimation methods based on panoramic radiography of developing teeth. J Den Res Dent Clinics, Dental Prospects. 2015; 9(2): 72.
Published
2021-12-24
How to Cite
sahu, pitambra, prabakaran, gayathri, Saxena, A., parihar, ajay, verma, neha, & chauhan, shikhar pratap. (2021). Age estimation by Willem’s method in age group of 6-12 year old children- a cross sectional study. UNIVERSITY JOURNAL OF DENTAL SCIENCES, 8(1). https://doi.org/10.21276//ujds.2022.8.1.8