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International Journal of Legal Medicine
Published in: International Journal of Legal Medicine 2/2020

01-03-2020 | Population Data

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

Published in: International Journal of Legal Medicine | Issue 2/2020

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Abstract

Forensic age estimation is a challenging field in forensic sciences because of the increase of migratory flows. Medicolegal age assessment is a key point because it has many implications for authorities. Dental age estimation is an essential part of the global age assessment. The aim of this study was to evaluate and test the accuracy of Cameriere’s cutoff values of the third molar maturity index (I3M) in assessing legal adult age of 18 years in a French population. The sample was constituted of 431 orthopantomograms performed between January 2014 and August 2017 on patients aged between 14 and 22 years. The reproducibility and repeatability of the method were high. Age distribution gradually decreases as I3M increases in both sexes. 0.08 seemed to be the best I3M cutoff. For females, the sensitivity and specificity of the test were 74.51% and 88.23%, respectively. The sensitivity and specificity for males were 92.19% and 88.35%, respectively. The accuracies were 80.74% for female, 90.57% for male. Estimated post-test probabilities were 0.879 for female and 0.899 for male. To conclude, the specific cutoff value of I3M ˂ 0.08 may be a useful additional tool in discriminating adults and minors in French population.
Literature
1.
2.
European Parliament, Council of the European Union (2011) Directive 2011/95/EU of the European Parliament and the council of 13 December 2011 on standards for the qualification of third-country nationals or stateless persons as beneficiaries of international protection, for a uniform status for refugees or for persons eligible for subsidiary protection, and for the content of the protection granted. Off J Eur Union. Sect. L 337, 2011/95/EU p. 9–26
3.
4.
5.
6.
7.
8.
9.
Schmeling A, Olze A, Reisinger W, Geserick G (2001) Age estimation of living people undergoing criminal proceedings. Lancet. 358:89–90PubMed
10.
Schmeling A, Olze A, Reisinger W, Rösing FW, Geserick G (2003) Forensic age diagnostics of living individuals in criminal proceedings. Homo. 54:162–169PubMed
11.
Schmeling A, Olze A, Reisinger W, Geserick G (2004) Forensic age diagnostics of living people undergoing criminal proceedings. Forensic Sci Int 144:243–245PubMed
12.
Schmeling A, Reisinger W, Geserick G, Olze A (2006) Age estimation of unaccompanied minors. Part I. General considerations. Forensic Sci Int 159(Suppl 1):S61–S64PubMed
13.
Schmeling A, Geserick G, Reisinger W, Olze A (2007) Age estimation. Forensic Sci Int 165:178–181PubMed
14.
Schmeling A, Grundmann C, Fuhrmann A, Kaatsch H-J, Knell B, Ramsthaler F, Reisinger W, Riepert T, Ritz-Timme S, Rösing FW, Rötzscher K, Geserick G (2008) Criteria for age estimation in living individuals. Int J Legal Med 122:457–460
15.
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 38:379–390PubMed
16.
Demirjian A, Goldstein H, Tanner JM (1973) A new system of dental age assessment. Hum Biol 45:211–227
17.
Thevissen PW, Kaur J, Willems G (2012) Human age estimation combining third molar and skeletal development. Int J Legal Med 126:285–292PubMed
18.
Hjern A, Brendler-Lindqvist M, Norredam M (2012) Age assessment of young asylum seekers. Acta Paediatr 101:4–7PubMed
19.
Demirjian A, Goldstein H (1976) New systems for dental maturity based on seven and four teeth. Ann Hum Biol 3:411–421
20.
Willems G (2001) A review of the most commonly used dental age estimation techniques. J Forensic Odontostomatol 19:9–17PubMed
21.
Cameriere R, Ferrante L, De Angelis D, Scarpino F, Galli F (2008) The comparison between measurement of open apices of third molars and Demirjian stages to test chronological age of over 18 year olds in living subjects. Int J Legal Med 122:493–497PubMed
22.
Quispe Lizarbe RJ, Solís Adrianzén C, Quezada-Márquez MM, Galić I, Cameriere R (2017) Demirjian’s stages and Cameriere’s third molar maturity index to estimate legal adult age in Peruvian population. Leg Med (Tokyo) 25:59–65
23.
Olze A, Schmeling A, Taniguchi M, Maeda H, van Niekerk P, Wernecke K-D, Geserick G (2004) Forensic age estimation in living subjects: the ethnic factor in wisdom tooth mineralization. Int J Legal Med 118:170–173PubMed
24.
Cameriere R, Santoro V, Roca R, Lozito P, Introna F, Cingolani M et al (2014) Assessment of legal adult age of 18 by measurement of open apices of the third molars: study on the Albanian sample. Forensic Sci Int 245:205.e1–205.e5
25.
De Luca S, Biagi R, Begnoni G, Farronato G, Cingolani M, Merelli V et al (2014) Accuracy of Cameriere’s cut-off value for third molar in assessing 18 years of age. Forensic Sci Int 235:102.e1–102.e6
26.
Deitos AR, Costa C, Michel-Crosato E, Galić I, Cameriere R, Biazevic MGH (2015) Age estimation among Brazilians: younger or older than 18? J Forensic Legal Med 33:111–115
27.
Galić I, Lauc T, Brkić H, Vodanović M, Galić E, Biazevic MGH et al (2015) Cameriere’s third molar maturity index in assessing age of majority. Forensic Sci Int 252:191.e1–191.e5
28.
Dardouri AAK, Cameriere R, De Luca S, Vanin S (2016) Third molar maturity index by measurements of open apices in a Libyan sample of living subjects. Forensic Sci Int 267:230.e1–230.e6
29.
Gulsahi A, De Luca S, Cehreli SB, Tirali RE, Cameriere R (2016) Accuracy of the third molar index for assessing the legal majority of 18 years in Turkish population. Forensic Sci Int 266:584.e1–584.e6
30.
Cavrić J, Galić I, Vodanović M, Brkić H, Gregov J, Viva S, Rey L, Cameriere R (2016) Third molar maturity index (I3M) for assessing age of majority in a black African population in Botswana. Int J Legal Med 130:1109–1120PubMed
31.
Zelic K, Galic I, Nedeljkovic N, Jakovljevic A, Milosevic O, Djuric M, Cameriere R (2016) Accuracy of Cameriere’s third molar maturity index in assessing legal adulthood on Serbian population. Forensic Sci Int 259:127–132PubMed
32.
De Luca S, Aguilar L, Rivera M, Palacio LAV, Riccomi G, Bestetti F et al (2016) Accuracy of cut-off value by measurement of third molar index: study of a Colombian sample. Forensic Sci Int 261:160.e1–160.e5
33.
Franklin D, Karkhanis S, Flavel A, Collini F, DeLuca S, Cameriere R (2016) Accuracy of a cut-off value based on the third molar index: Validation in an Australian population. Forensic Sci Int 266:575.e1–575.e6
34.
Balla SB, Galic I, P K, Vanin S, De Luca S, Cameriere R (2017) Validation of third molar maturity index (I3M) for discrimination of juvenile/adult status in South Indian population. J Forensic Legal Med 49:2–7
35.
AlQahtani S, Kawthar A, AlAraik A, AlShalan A (2017) Third molar cut-off value in assessing the legal age of 18 in Saudi population. Forensic Sci Int 272:64–67PubMed
36.
Boyacıoğlu Doğru H, Gulsahi A, Burçak Çehreli S, Galić I, van der Stelt P, Cameriere R (2018) Age of majority assessment in Dutch individuals based on Cameriere’s third molar maturity index. Forensic Sci Int 282:231.e1–231.e6
37.
Tafrount C, Galić I, Franchi A, Fanton L, Cameriere R (2019) Third molar maturity index for indicating the legal adult age in southeastern France. Forensic Sci Int 294:218.e1–218.e6
38.
Chu G, Wang Y, Li M, Han M, Zhang Z, Chen T, Zhou H, Guo YC (2018) Third molar maturity index (I3M) for assessing age of majority in northern Chinese population. Int J Legal Med 132:1759–1768PubMed
39.
Spinas E, De Luca S, Lampis L, Velandia Palacio LA, Cameriere R (2018) Is the third molar maturity index (I3M) useful for a genetic isolate population? Study of a Sardinian sample of children and young adults. Int J Legal Med 132:1787–1794PubMed
40.
Różyło-Kalinowska I, Kalinowski P, Kozek M, Galić I, Cameriere R (2018) Validity of the third molar maturity index I3M for indicating the adult age in the Polish population. Forensic Sci Int 290:352.e1–352.e6
41.
Antunovic M, Galic I, Zelic K, Nedeljkovic N, Lazic E, Djuric M, Cameriere R (2018) The third molars for indicating legal adult age in Montenegro. Legal Med 33:55–61PubMed
42.
Angelakopoulos N, De Luca S, Velandia Palacio LA, Coccia E, Ferrante L, Cameriere R (2018) Third molar maturity index (I3M) for assessing age of majority: study of a black South African sample. Int J Legal Med 132:1457–1464PubMed
43.
Cameriere R, Velandia Palacio LA, Pinares J, Bestetti F, Paba R, Coccia E et al (2018) Assessment of second (I2M) and third (I3M) molar indices for establishing 14 and 16 legal ages and validation of the Cameriere’s I3M cut-off for 18 years old in Chilean population. Forensic Sci Int 285:205.e1–205.e5
44.
Kelmendi J, Cameriere R, Koçani F, Galić I, Mehmeti B, Vodanović M (2018) The third molar maturity index in indicating the legal adult age in Kosovar population. Int J Legal Med 132:1151–1159PubMed
45.
46.
Bartko JJ (1966) The Intraclass correlation coefficient as a measure of reliability. Psychol Rep 19:3–11PubMed
47.
48.
Crawford JR, Garthwaite PH, Betkowska K (2009) Bayes’ theorem and diagnostic tests in neuropsychology: interval estimates for post-test probabilities. Clin Neuropsychol 23:624–644PubMed
49.
Ferrante L, Skrami E, Gesuita R, Cameriere R (2015) Bayesian calibration for forensic age estimation. Stat Med 34:1779–1790PubMed
50.
51.
52.
Walter SD (2002) Properties of the summary receiver operating characteristic (SROC) curve for diagnostic test data. Stat Med 21:1237–1256PubMed
53.
Mazzilli LEN, Melani RFH, Lascala CA, Palacio LAV, Cameriere R (2018) Age estimation: Cameriere’s open apices methodology accuracy on a southeast Brazilian sample. J Forensic Legal Med 58:164–168
54.
Rantanen AV (1967) The age of eruption of the third molar teeth: a clinical study based on Finnish university students. Acta odontol Scand 25(Suppl 48):1–86
55.
Cunningham C, Scheuer L, Black S, Christie A (2000) Developmental Juvenile Osteology, 1st ed. Academic Press, Waltham
56.
Moorrees CFA, Fanning EA, Edward E, Hunt JR (1963) Age variation of formation stages for ten permanent teeth. J Dent Res 42:1490–1502PubMed
57.
Thevissen PW, Kvaal SI, Willems G (2012) Ethics in age estimation of unaccompanied minors. J Forensic Odontostomatol 30(Suppl 1):84–102PubMed
Metadata
Title
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
Publication date
01-03-2020
Publisher
Springer Berlin Heidelberg
Published in
International Journal of Legal Medicine / Issue 2/2020
Print ISSN: 0937-9827
Electronic ISSN: 1437-1596
DOI
https://doi.org/10.1007/s00414-019-02123-z

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