Top

Published in:

01-03-2017 | Original Article

New models for age estimation and assessment of their accuracy using developing mandibular third molar teeth in a Thai population

Authors: P. Duangto, A. Iamaroon, S. Prasitwattanaseree, P. Mahakkanukrauh, A. Janhom

Published in: International Journal of Legal Medicine | Issue 2/2017

Abstract

Age estimation using developing third molar teeth is considered an important and accurate technique for both clinical and forensic practices. The aims of this study were to establish population-specific reference data, to develop age prediction models using mandibular third molar development, to test the accuracy of the resulting models, and to find the probability of persons being at the age thresholds of legal relevance in a Thai population. A total of 1867 digital panoramic radiographs of Thai individuals aged between 8 and 23 years was selected to assess dental age. The mandibular third molar development was divided into nine stages. The stages were evaluated and each stage was transformed into a development score. Quadratic regression was employed to develop age prediction models. Our results show that males reached mandibular third molar root formation stages earlier than females. The models revealed a high correlation coefficient for both left and right mandibular third molar teeth in both sexes (R = 0.945 and 0.944 in males, R = 0.922 and 0.923 in females, respectively). Furthermore, the accuracy of the resulting models was tested in randomly selected 374 cases and showed low error values between the predicted dental age and the chronological age for both left and right mandibular third molar teeth in both sexes (−0.13 and −0.17 years in males, 0.01 and 0.03 years in females, respectively). In Thai samples, when the mandibular third molar teeth reached stage H, the probability of the person being over 18 years was 100 % in both sexes.

Ajmal M, Assiri KI, Al-Ameer KY, Assiri AM, Luqman M (2012) Age estimation using third molar teeth: a study on southern Saudi population. J Forensic Dent Sci 4(2):63–65CrossRefPubMedPubMedCentral

Lopez TT, Arruda CP, Rocha M, Rosin AS, Michel-Crosato E, Biazevic MG (2013) Estimating ages by third molars: stages of development in Brazilian young adults. J Forensic Leg Med 20(5):412–418CrossRefPubMed

Schmeling A, Geserick G, Reisinger W, Olze A (2007) Age estimation. Forensic Sci Int 165(2-3):178–181CrossRefPubMed

Qing M, Qiu L, Gao Z, Bhandari K (2014) The chronological age estimation of third molar mineralization of Han population in southwestern China. J Forensic Leg Med 24:24–27CrossRefPubMed

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

Fereira JL, Fereira AE, Ortega AI (2008) Methods for the analysis of hard dental tissues exposed to high temperatures. Forensic Sci Int 178(2-3):119–124CrossRefPubMed

Gleiser I, Hunt EE Jr (1955) The permanent mandibular first molar: its calcification, eruption and decay. Am J Phys Anthropol 13(2):253–283CrossRefPubMed

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

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

10.

Kullman L, Johanson G, Akesson L (1992) Root development of the lower third molar and its relation to chronological age. Swed Dent J 16(4):161–167PubMed

11.

Gat H, Sarnat H, Bjorvath K, Dayan D (1984) Dental age evaluation. A new six-developmental-stage method. Clin Prev Dent 6(2):18–22PubMed

12.

Mincer HH, Harris EF, Berryman HE (1993) The A.B.F.O. study of third molar development and its use as an estimator of chronological age. J Forensic Sci 38(2):379–390CrossRefPubMed

13.

De Salvia A, Calzetta C, Orrico M, De Leo D (2004) Third mandibular molar radiological development as an indicator of chronological age in a European population. Forensic Sci Int 146(Suppl):S9–S12CrossRefPubMed

14.

Olze A, Schmeling A, Taniguchi M, Maeda H, van Niekerk P, Wernecke KD et al (2004) Forensic age estimation in living subjects: the ethnic factor in wisdom tooth mineralization. Int J Legal Med 118(3):170–173CrossRefPubMed

15.

Olze A, Taniguchi M, Schmeling A, Zhu BL, Yamada Y, Maeda H et al (2004) Studies on the chronology of third molar mineralization in a Japanese population. Leg Med (Tokyo) 6(2):73–79CrossRef

16.

Martin-de lasHaras S, García-Fortea P, Ortega A, Zodocovich S, Valenzuela A (2008) Third molar development according to chronological age in populations from Spanish and Magrebian origin. Forensic Sci Int 174(1):47–53CrossRef

17.

Kasper KA, Austin D, Kvanli AH, Rios TR, Senn DR (2009) Reliability of third molar development for age estimation in a Texas Hispanic population: a comparison study. J Forensic Sci 54(3):651–657CrossRefPubMed

18.

Soares CB, Figueiroa JN, Dantas RM, Kurita LM, Pontual Ados A, Ramos-Perez FM et al (2015) Evaluation of third molar development in the estimation of chronological age. Forensic Sci Int 254:13–17CrossRefPubMed

19.

Streckbein P, Reichert I, Verhoff MA, Bödeker RH, Kähling C, Wilbrand JF et al (2014) Estimation of legal age using calcification stages of third molars in living individuals. Sci Justice 54(6):447–450CrossRefPubMed

20.

Thevissen PW, Alqerban A, Asaumi J, Kahveci F, Kaur J, Kim YK et al (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):106–111CrossRefPubMed

21.

Thevissen PW, Fieuws S, Willems G (2010) Human third molars development: comparison of 9 country specific populations. Forensic Sci Int 201(1-3):102–105CrossRefPubMed

22.

Thevissen PW, Pittayapat P, Fieuws S, Willems G (2009) Estimating age of majority on third molars developmental stages in young adults from Thailand using a modified scoring technique. J Forensic Sci 54(2):428–432CrossRefPubMed

23.

Verochana K, Prapayasatok S, Janhom A, Mahasantipiya P, Korwanich N (2016) Reliability of an equation for age estimation from lower third molar development in a Thai population. Imaging Sci Dent 46:1–7CrossRefPubMedPubMedCentral

24.

Lucy D, Aykroyd RG, Pollard AM, Solheim T (1996) A Bayesian approach to adult human age estimation from dental observations by Johanson’s age changes. J Forensic Sci 41(2):189–194CrossRefPubMed

25.

Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33(1):159–174CrossRefPubMed

26.

de Oliveira FT, Capelozza AL, Lauris JR, de Bullen IR (2012) Mineralization of mandibular third molars can estimate chronological age—Brazilian indices. Forensic Sci Int 219(1-3):147–150CrossRefPubMed

27.

Li G, Ren J, Zhao S, Liu Y, Li N, Wu W et al (2012) Dental age estimation from the developmental stage of the third molars in western Chinese population. Forensic Sci Int 219(1-3):158–164CrossRefPubMed

28.

Karataş OH, Öztürk F, Dedeoğlu N, Çolak C, Altun O (2013) Radiographic evaluation of third-molar development in relation to the chronological age of Turkish children in the southwest Eastern Anatolia region. Forensic Sci Int 232(1-3):e1–e5CrossRef

29.

Lee SH, Lee JY, Park HK, Kim YK (2009) Development of third molars in Korean juveniles and adolescents. Forensic Sci Int 188(1-3):107–111CrossRefPubMed

30.

Olze A, van Niekerk P, Schmidt S, Wernecke KD, Rösing FW, Geserick G et al (2006) Studies on the progress of third-molar mineralization in a Black African population. Homo 57(3):209–217CrossRefPubMed

31.

Meinl A, Tangl S, Huber C, Maurer B, Watzek G (2007) The chronology of third molar mineralization in the Austrian population—a contribution to forensic age estimation. Forensic Sci Int 169(2-3):161–167CrossRefPubMed

32.

Olze A, Taniguchi M, Schmeling A, Zhu BL, Yamada Y, Maeda H et al (2003) Comparative study on the chronology of third molar mineralization in a Japanese and a German population. Leg Med (Tokyo) 5(Suppl 1):S256–S260CrossRef

33.

Orhan K, Ozer L, Orhan AI, Dogan S, Paksoy CS (2007) Radiographic evaluation of third molar development in relation to chronological age among Turkish children and youth. Forensic Sci Int 165(1):46–51CrossRefPubMed

34.

Harris EF (2007) Mineralization of the mandibular third molar: a study of American blacks and whites. Am J Phys Anthropol 132(1):98–109CrossRefPubMed

35.

Demirturk Kocasarac H, Sinanoglu A, Noujeim M, Helvacioglu Yigit D, Baydemir C (2016) Radiologic assessment of third molar tooth and spheno-occipital synchondrosis for age estimation: a multiple regression analysis study. Int J Legal Med 130(3):799–808CrossRefPubMed

36.

Liversidge HM (2008) Timing of human mandibular third molar formation. Ann Hum Biol 35(3):294–321CrossRefPubMed

37.

Duangto P, Janhom A, Prasitwattanaseree S, Mahakkanukrauh P, Iamaroon A (2016) New prediction models for dental age estimation in Thai children and adolescents. Forensic Sci Int doi. doi:10.1016/j.forsciint.2016.05.005

38.

Pattamapaspong N, Madla C, Mekjaidee K, Namwongprom S (2015) Age estimation of a Thai population based on maturation of the medial clavicular epiphysis using computed tomography. Forensic Sci Int 246(123):1–5

39.

Mansourvar M, Ismail MA, Raj RG, Kareem SA, Aik S, Gunalan R et al (2014) The applicability of Greulich and Pyle atlas to assess skeletal age for four ethnic groups. J Forensic Leg Med 22:26–29CrossRefPubMed

Title: New models for age estimation and assessment of their accuracy using developing mandibular third molar teeth in a Thai population
Authors: P. Duangto
A. Iamaroon
S. Prasitwattanaseree
P. Mahakkanukrauh
A. Janhom
Publication date: 01-03-2017
Publisher: Springer Berlin Heidelberg
Published in: International Journal of Legal Medicine / Issue 2/2017
Print ISSN: 0937-9827
Electronic ISSN: 1437-1596
DOI: https://doi.org/10.1007/s00414-016-1467-4

Keynote webinar | Spotlight on sleep in brain health

Springer Medicine

New models for age estimation and assessment of their accuracy using developing mandibular third molar teeth in a Thai population

Abstract

Keynote webinar | Spotlight on sleep in brain health

Springer Medicine

Abstract

Please log in to get access to this content

Other articles of this Issue 2/2017

The applicability of ELISA detection of gastric mucosa-expressing proteins for the identification of vomit

Time-dependent postmortem redistribution of morphine and its metabolites in blood and alternative matrices—application of CT-guided biopsy sampling

First application of a protein-based approach for time since death estimation

Evaluation of the ossification of the medial clavicle according to the Kellinghaus substage system in identifying the 18-year-old age limit in the estimation of forensic age—is it necessary?

Immunohistochemical detection of early myocardial infarction: a systematic review

Medico-legal perspectives on sudden cardiac death in young athletes