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18.09.2017 | Original Article

Age estimation based on Willems method versus new country-specific method in South African black children

verfasst von: Guy Willems, Sang-Seob Lee, Andre Uys, Herman Bernitz, Maria Cadenas de Llano-Pérula, Steffen Fieuws, Patrick Thevissen

Erschienen in: International Journal of Legal Medicine | Ausgabe 2/2018

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Abstract

Aim

The aims of our study were to develop new maturity scores for dental age estimation in South African black children according to the Willems method, which was developed based on Belgian Caucasian (BC) reference data (Willems et al. J Forensic Sci 46(4):893–895, 2001), and to compare age prediction performance of both methods.

Subjects and methods

A total of 986 panoramic radiographs of healthy South African black (SAB) children (493 males and 493 females) in the age range of 4.14 to 14.99 years (mean age 10.06 years) were selected for obtaining developmental staging scores (according to Demirjian et al. Hum Biol 45(2):211–227, 1973). Willems BC methodology was applied to develop new country-specific maturity scores (Willems SAB). Age prediction performance of Willems BC and Willems SAB was compared.

Results

On average, Willems BC renders acceptable results with an overestimation of chronological age of 0.06 years (SD 0.88 years) in SAB children. Compared to Willems SAB, the overall mean absolute error was slightly higher with Willems BC (0.62 and 0.68 years, respectively), but this was not significant in males. Also, the root mean squared error was marginally higher in Willems BC.

Conclusion

The new age prediction method developed in South African black children was found to be better compared to Willems BC, although the difference seems to be small and clinically not relevant, especially in males.

Alt KW, Rösing FW, Teschler-Nicola M (1998) Dental anthropology: fundamentals, limits, and prospects. Springer, Wien; New YorkCrossRef

Willems G (2001) A review of the most commonly used dental age estimation techniques. J Forensic Odontostomatol 19(1):9–17PubMed

Solheim T (1993) Dental age-related regressive changes and a new method for calculating the age of an individual. PhD Thesis

Greulich WW, Pyle SI (1959) Radiographic atlas of skeletal development of the hand and wrist. Standford University Press, Stanford

Tanner JM, Whitehouse RH, Marshall WA, Healy MJR, Goldstein H (1975) Assessment of skeletal maturity and prediction of adult height (TW2 method). Academic Press, London

Garn SM, Lewis AB, Blizzard RM (1965) Endocrine factors in dental development. J Dent Res 44(SUPPL):243–258CrossRef

Moorrees CF, Fanning EA, Hunt EE Jr (1963) Age variation of formation stages for ten permanent teeth. J Dent Res 42:1490–1502CrossRefPubMed

Moorrees CF, Fanning EA, Hunt EE Jr (1963) Formation and resorption of three deciduous teeth in children. Am J Phys Anthropol 21:205–213CrossRefPubMed

Moorrees CF (1965) Normal variation in dental development determined with reference to tooth eruption status. J Dent Res 44(SUPPL):161–173CrossRef

10.

Demirjian A, Goldstein H, Tanner JM (1973) A new system of dental age assessment. Hum Biol 45(2):211–227PubMed

11.

Willems G, Van Olmen A, Spiessens B, Carels C (2001) Dental age estimation in Belgian children: Demirjian’s technique revisited. J Forensic Sci 46(4):893–895CrossRefPubMed

12.

Maber M, Liversidge HM, Hector MP (2006) Accuracy of age estimation of radiographic methods using developing teeth. Forensic Sci Int 159(Suppl 1):S68–S73. https://doi.org/10.1016/j.forsciint.2006.02.019 CrossRefPubMed

13.

Mani SA, Naing L, John J, Samsudin AR (2008) Comparison of two methods of dental age estimation in 7-15-year-old Malays. Int J Paediatr Dent 18(5):380–388. https://doi.org/10.1111/j.1365-263X.2007.00890.x CrossRefPubMed

14.

Liversidge HM, Smith BH, Maber M (2010) Bias and accuracy of age estimation using developing teeth in 946 children. Am J Phys Anthropol 143(4):545–554. https://doi.org/10.1002/ajpa.21349 CrossRefPubMed

15.

Galic I, Vodanovic M, Cameriere R, Nakas E, Galic E, Selimovic E, Brkic H (2011) Accuracy of Cameriere, Haavikko, and Willems radiographic methods on age estimation on Bosnian-Herzegovian children age groups 6-13. Int J Legal Med 125(2):315–321. https://doi.org/10.1007/s00414-010-0515-8 CrossRefPubMed

16.

Nik-Hussein NN, Kee KM, Gan P (2011) Validity of Demirjian and Willems methods for dental age estimation for Malaysian children aged 5-15 years old. Forensic Sci Int 204(1–3):208 e201–208 e206. https://doi.org/10.1016/j.forsciint.2010.08.020

17.

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 52(1):32–35. https://doi.org/10.1258/msl.2011.011021 CrossRefPubMed

18.

Ambarkova V, Galic I, Vodanovic M, Biocina-Lukenda D, Brkic H (2014) Dental age estimation using Demirjian and Willems methods: cross sectional study on children from the Former Yugoslav Republic of Macedonia. Forensic Sci Int 234:187 e181–187 e187. https://doi.org/10.1016/j.forsciint.2013.10.024 CrossRef

19.

Medina AC, Blanco L (2014) Accuracy of dental age estimation in Venezuelan children: comparison of Demirjian and Willems methods. Acta Odontol Latinoam 27(1):34–41PubMed

20.

Ye X, Jiang F, Sheng X, Huang H, Shen X (2014) Dental age assessment in 7-14-year-old Chinese children: comparison of Demirjian and Willems methods. Forensic Sci Int 244:36–41. https://doi.org/10.1016/j.forsciint.2014.07.027 CrossRefPubMed

21.

de Souza RB, da Silva Assuncao LR, Franco A, Zaroni FM, Holderbaum RM, Fernandes A (2015) Dental age estimation in Brazilian HIV children using Willems’ method. Forensic Sci Int 257(510):e511–e514. https://doi.org/10.1016/j.forsciint.2015.07.044

22.

Onat Altan H, Altan A, Bilgic F, Akinci Sozer O, Damlar I (2016) The applicability of Willems’ method for age estimation in southern Turkish children: a preliminary study. J Forensic Legal Med 38:24–27. https://doi.org/10.1016/j.jflm.2015.11.015 CrossRef

23.

Thevissen PW, Fieuws S, Willems G (2010) Human third molars development: comparison of 9 country specific populations. Forensic Sci Int 201(1–3):102–105. https://doi.org/10.1016/j.forsciint.2010.04.054 CrossRefPubMed

24.

Thevissen PW, Fieuws S, Willems G (2010) Human dental age estimation using third molar developmental stages: does a Bayesian approach outperform regression models to discriminate between juveniles and adults? Int J Legal Med 124(1):35–42. https://doi.org/10.1007/s00414-009-0329-8 CrossRefPubMed

25.

Djukic K, Zelic K, Milenkovic P, Nedeljkovic N, Djuric M (2013) Dental age assessment validity of radiographic methods on Serbian children population. Forensic Sci Int 231(1–3):398 e391–398 e395. https://doi.org/10.1016/j.forsciint.2013.05.036

26.

Fieuws S, Willems G, Larsen-Tangmose S, Lynnerup N, Boldsen J, Thevissen P (2016) Obtaining appropriate interval estimates for age when multiple indicators are used: evaluation of an ad-hoc procedure. Int J Legal Med 130(2):489–499. https://doi.org/10.1007/s00414-015-1200-8 CrossRefPubMed

27.

Dhanjal KS, Bhardwaj MK, Liversidge HM (2006) Reproducibility of radiographic stage assessment of third molars. Forensic Sci Int 159(Suppl 1):S74–S77. https://doi.org/10.1016/j.forsciint.2006.02.020 CrossRefPubMed

28.

Franco A, Thevissen P, Fieuws S, Souza PH, Willems G (2013) Applicability of Willems model for dental age estimations in Brazilian children. Forensic Sci Int 231(1–3):401 e401–401 e404. https://doi.org/10.1016/j.forsciint.2013.05.030

29.

Phillips VM, van Wyk Kotze TJ (2009) Dental age related tables for children of various ethnic groups in South Africa. J Forensic Odontostomatol 27(2):29–44PubMed

30.

Phillips VM, van Wyk Kotze TJ (2009) Testing standard methods of dental age estimation by Moorrees, Fanning and Hunt and Demirjian, Goldstein and Tanner on three South African children samples. J Forensic Odontostomatol 27(2):20–28PubMed

31.

Ifesanya JU, Adeyemi AT (2012) Accuracy of age estimation using Demirjian method among Nigerian children. Afr J Med Med Sci 41(3):297–300PubMed

32.

Cavric J, Vodanovic M, Marusic A, Galic I (2016) Time of mineralization of permanent teeth in children and adolescents in Gaborone, Botswana. Ann Anat 203:24–32. https://doi.org/10.1016/j.aanat.2015.08.001 CrossRefPubMed

33.

Braga J, Heuze Y, Chabadel O, Sonan NK, Gueramy A (2005) Non-adult dental age assessment: correspondence analysis and linear regression versus Bayesian predictions. Int J Legal Med 119(5):260–274. https://doi.org/10.1007/s00414-004-0494-8 CrossRefPubMed

34.

Thevissen PW, Alqerban A, Asaumi J, Kahveci F, Kaur J, Kim YK, Pittayapat P, Van Vlierberghe M, Zhang Y, Fieuws S, Willems G (2010) Human dental age estimation using third molar developmental stages: accuracy of age predictions not using country specific information. Forensic Sci Int 201(1–3):106–111. https://doi.org/10.1016/j.forsciint.2010.04.040 CrossRefPubMed

35.

Ramanan N, Thevissen P, Fleuws S, Willems G (2012) Dental age estimation in Japanese individuals combining permanent teeth and third molars. J Forensic Odontostomatol 30(2):34–39PubMed

36.

Altalie S, Thevissen P, Fieuws S, Willems G (2014) Optimal dental age estimation practice in United Arab Emirates’ children. J Forensic Sci 59(2):383–385. https://doi.org/10.1111/1556-4029.12351 CrossRefPubMed

37.

Yusof MY, Thevissen PW, Fieuws S, Willems G (2014) Dental age estimation in Malay children based on all permanent teeth types. Int J Legal Med 128(2):329–333. https://doi.org/10.1007/s00414-013-0825-8 CrossRefPubMed

38.

Uys A, Fabris-Rotelli I, Bernitz H (2014) Estimating age in black South African children. SADJ 69(2):54–58 60-51PubMed

39.

Liversidge HM, Chaillet N, Mornstad H, Nystrom M, Rowlings K, Taylor J, Willems G (2006) Timing of Demirjian’s tooth formation stages. Ann Hum Biol 33(4):454–470. https://doi.org/10.1080/03014460600802387 CrossRefPubMed

40.

Elamin F, Hector MP, Liversidge HM (2016) The timing of mandibular tooth formation in two African groups. Ann Hum Biol 1–12. https://doi.org/10.1080/03014460.2016.1213313

41.

Liversidge HM (2008) Timing of human mandibular third molar formation. Ann Hum Biol 35(3):294–321. https://doi.org/10.1080/03014460801971445 CrossRefPubMed

42.

Olze A, van Niekerk P, Ishikawa T, Zhu BL, Schulz R, Maeda H, Schmeling A (2007) Comparative study on the effect of ethnicity on wisdom tooth eruption. Int J Legal Med 121(6):445–448. https://doi.org/10.1007/s00414-007-0171-9 CrossRefPubMed

43.

Olze A, van Niekerk P, Schulz R, Schmeling A (2007) Studies of the chronological course of wisdom tooth eruption in a Black African population. J Forensic Sci 52(5):1161–1163. https://doi.org/10.1111/j.1556-4029.2007.00534.x CrossRefPubMed

Titel: Age estimation based on Willems method versus new country-specific method in South African black children
verfasst von: Guy Willems
Sang-Seob Lee
Andre Uys
Herman Bernitz
Maria Cadenas de Llano-Pérula
Steffen Fieuws
Patrick Thevissen
Publikationsdatum: 18.09.2017
Verlag: Springer Berlin Heidelberg
Erschienen in: International Journal of Legal Medicine / Ausgabe 2/2018
Print ISSN: 0937-9827
Elektronische ISSN: 1437-1596
DOI: https://doi.org/10.1007/s00414-017-1686-3

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Age estimation based on Willems method versus new country-specific method in South African black children

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Subjects and methods

Results

Conclusion

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Conclusion

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