Literature DB >> 26972694

Third molar maturity index (I3M) for assessing age of majority in a black African population in Botswana.

Jelena Cavrić1, Ivan Galić2, Marin Vodanović3, Hrvoje Brkić4, Jelena Gregov3, Serena Viva5, Laura Rey6, Roberto Cameriere6.   

Abstract

Assessment of legal age, also known as age of majority, is a controversial issue as there are few body biomarkers or evidence during late adolescence differentiating a subject from being a minor or adult. The third molar was recognized as a suitable site for age examination in late adolescence. We analyzed the development of the left mandibular third molar by the third molar maturity index (I3M) and a specific cut-off value of I3M = 0.08, established by Cameriere et al. in 2008 and used it for discriminating between minors and adult black Africans from Gaborone, Botswana. A final sample of panoramic radiographs (OPTs) of 1294 people (582 males and 712 females) aged between 13 and 23 years was evaluated. The real age decreased as I3M gradually increased. There was no statistically significant difference in the third molar development evaluated using I3M between males and females (p > 0.05) across different I3M classes. Results of 2 × 2 contingency tables for different cut-off values indicated that I3M = 0.08 was useful in discriminating between adults and minors. Precisely, for I3M = 0.08, the values of accuracy or overall fraction of correctly classified were 0.91 in males with a 95 % confidence interval (95 % CI) of 0.88 to 0.93 and 0.92 (95 % CI, 0.90 to 0.93) in females. Values of sensitivity of the test or the proportion of participants being 18 years and older were 0.88 (95 % CI, 0.87 to 0.90) in males and 0.88 (95 % CI, 0.90 to 0.93) in females, while values of specificity or proportion of individuals younger than 18 who have I3M <0.08 were 0.94 (95 % CI, 0.91 to 0.96) in males and 0.96 (95 % CI, 0.94 to 0.98) in females. Positive predictive values of the test, where the participants whose I3M <0.08 were adults, were 0.94 (95 % CI 0.91 to 0.96) in males and 0.97 (95 % CI, 0.94 to 0.98) in females, while negative predictive values of the test, where the participants whose I3M was ≥0.08 were minors, were 0.88 (95 % CI 0.85 to 0.90) in males and 0.97 (95 % CI, 0.94 to 0.98) in females. The likelihood ratios of the positive test (LR+) were 13.67 (95 % CI, 9.21 to 21.02) in males and 23.73 (95 % CI, 14.20 to 42.28) in females, while likelihood ratios of the negative test (LR-) were 0.12 (95 % CI 0.10 to 0.16) in males and 0.12 (95 % CI, 0.11 to 0.15) in females. Bayes post-test probabilities, p, were 0.94 (95 % CI 0.90 to 0.98) in males and 0.97 (95 %CI, 0.93 to 1.00) in females. These results indicate with high accuracy that I3M may be a useful alternative method in legal and forensic practice to discriminate individuals of black African origin who are around the legal adult age of 18 years in Botswana. Further studies should address the usefulness of this method and specific cut-off for different adolescent populations.

Entities:  

Keywords:  Accompanied minor; Age estimation; Age of majority; Botswana; Legal medicine; Third molar maturity index

Mesh:

Year:  2016        PMID: 26972694     DOI: 10.1007/s00414-016-1344-1

Source DB:  PubMed          Journal:  Int J Legal Med        ISSN: 0937-9827            Impact factor:   2.686


  59 in total

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Authors:  Andreas Schmeling; Andreas Olze; Walter Reisinger; Kay-Geert A Hermann; Ulrich Rossel
Journal:  Arch Kriminol       Date:  2003 May-Jun

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Authors:  I GLEISER; E E HUNT
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3.  Orphan care in Botswana's working households: growing responsibilities in the absence of adequate support.

Authors:  Candace M Miller; Sofia Gruskin; S V Subramanian; Divya Rajaraman; S Jody Heymann
Journal:  Am J Public Health       Date:  2006-06-29       Impact factor: 9.308

4.  Accuracy of Cameriere, Haavikko, and Willems radiographic methods on age estimation on Bosnian-Herzegovian children age groups 6-13.

Authors:  Ivan Galić; Marin Vodanović; Roberto Cameriere; Enita Nakaš; Elizabeta Galić; Edin Selimović; Hrvoje Brkić
Journal:  Int J Legal Med       Date:  2010-09-29       Impact factor: 2.686

5.  The A.B.F.O. study of third molar development and its use as an estimator of chronological age.

Authors:  H H Mincer; E F Harris; H E Berryman
Journal:  J Forensic Sci       Date:  1993-03       Impact factor: 1.832

6.  Timing of developmental stages in permanent mandibular teeth of Finns from birth to age 25.

Authors:  Marjatta Elina Nyström; Helena Meri Ranta; Jaakko Sakari Peltola; Jorma Matti Kataja
Journal:  Acta Odontol Scand       Date:  2007-02       Impact factor: 2.331

7.  Timing of human mandibular third molar formation.

Authors:  H M Liversidge
Journal:  Ann Hum Biol       Date:  2008 May-Jun       Impact factor: 1.533

8.  Missing people, migrants, identification and human rights.

Authors:  E Nuzzolese
Journal:  J Forensic Odontostomatol       Date:  2012-11-30

9.  Accuracy of age estimation of radiographic methods using developing teeth.

Authors:  M Maber; H M Liversidge; M P Hector
Journal:  Forensic Sci Int       Date:  2006-03-14       Impact factor: 2.395

10.  Third molar development according to chronological age in populations from Spanish and Magrebian origin.

Authors:  Stella Martin-de las Heras; Pedro García-Fortea; Angie Ortega; Sara Zodocovich; Aurora Valenzuela
Journal:  Forensic Sci Int       Date:  2007-04-24       Impact factor: 2.395

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  14 in total

1.  Age estimation from anterior cervical vertebral ring apophysis ossification in South Africans.

Authors:  A Uys; H Bernitz; S Pretorius; M Steyn
Journal:  Int J Legal Med       Date:  2019-08-11       Impact factor: 2.686

2.  Cameriere's third molar maturity index in assessing age of majority: a study of a French sample.

Authors:  Léo Ribier; Pauline Saint-Martin; Mélanie Seignier; Arnaud Paré; Laurent Brunereau; Camille Rérolle
Journal:  Int J Legal Med       Date:  2019-08-10       Impact factor: 2.686

3.  Estimating age and the probability of being at least 18 years of age using third molars: a comparison between Black and White individuals living in South Africa.

Authors:  André Uys; H Bernitz; S Pretorius; M Steyn
Journal:  Int J Legal Med       Date:  2018-06-09       Impact factor: 2.686

4.  Is the third molar maturity index (I3M) useful for a genetic isolate population? Study of a Sardinian sample of children and young adults.

Authors:  E Spinas; Stefano De Luca; L Lampis; L A Velandia Palacio; R Cameriere
Journal:  Int J Legal Med       Date:  2018-09-19       Impact factor: 2.686

5.  Dental age estimation in Somali children using the Willems et al. model.

Authors:  Mari Metsäniitty; Janna Waltimo-Sirén; Helena Ranta; Steffen Fieuws; Patrick Thevissen
Journal:  Int J Legal Med       Date:  2018-09-01       Impact factor: 2.686

6.  Comparison of the third molar maturity index (I3M) between left and right lower third molars to assess the age of majority: a multi-ethnic study sample.

Authors:  N Angelakopoulos; I Galić; S B Balla; H C Kiş; L Gómez Jiménez; G Zolotenkova; M Y P Mohd Yusof; A Hadzić Selmanagić; H Pandey; C Palmela Pereira; J B M Nóbrega; K Hettiarachchi; S M Mieke; A Kumagai; A Gulsahi; K Zelić; N Marinković; J Kelmendi; I Bianchi; I Soriano Vázquez; E Spinas; Y W Velezmoro-Montes; I Oliveira-Santos; Stefano De Luca; I L Arrais Ribeiro; M Moukarzel; R Cameriere
Journal:  Int J Legal Med       Date:  2021-07-06       Impact factor: 2.686

7.  Chronology of mineralization of the permanent mandibular second molar teeth and forensic age estimation.

Authors:  Pedro Fins; Maria Lurdes Pereira; Américo Afonso; Daniel Pérez-Mongiovi; Inês Morais Caldas
Journal:  Forensic Sci Med Pathol       Date:  2017-06-03       Impact factor: 2.007

8.  Third molar maturity index (I3M) for assessing age of majority: study of a black South African sample.

Authors:  N Angelakopoulos; S De Luca; L A Velandia Palacio; E Coccia; L Ferrante; R Cameriere
Journal:  Int J Legal Med       Date:  2018-03-08       Impact factor: 2.686

9.  Application of age assessment based on the radiographic visibility of the root pulp of lower third molars in a northern Chinese population.

Authors:  Yu-Cheng Guo; Guang Chu; Andreas Olze; Sven Schmidt; Ronald Schulz; Christian Ottow; Heidi Pfeiffer; Teng Chen; Andreas Schmeling
Journal:  Int J Legal Med       Date:  2017-11-09       Impact factor: 2.686

Review 10.  Accuracy of the third molar maturity index in assessing the legal age of 18 years: a systematic review and meta-analysis.

Authors:  Bianca Marques Santiago; Leopoldina Almeida; Yuri Wanderley Cavalcanti; Marcela Baraúna Magno; Lucianne Cople Maia
Journal:  Int J Legal Med       Date:  2017-12-22       Impact factor: 2.686

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