Third molar maturity index (I 3M) assessment according to different geographical zones: a large multi-ethnic study sample

Identification of living undocumented individuals highlights the need for accurate, precise, and reproducible age estimation methods, especially in those cases involving minors. However, when their country of origin is unknown, or it can be only roughly estimated, it is extremely difficult to apply...

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Published in:International Journal of Legal Medicine
Main Author: Angelakopoulos N.; De Luca S.; Oliveira-Santos I.; Ribeiro I.L.A.; Bianchi I.; Balla S.B.; Kis H.C.; Jiménez L.G.; Zolotenkova G.; Yusof M.Y.P.; Selmanagić A.H.; Pandey H.; Pereira P.C.; da Nóbrega J.B.M.; Kalani H.; Mieke S.M.; Kumagai A.; Gulsahi A.; Zelić K.; Marinković N.; Kelmendi J.; Galić I.; Vázquez I.S.; Spinas E.; Velezmoro-Montes Y.W.; Moukarzel M.; Toledo J.P.; El-Bakary A.A.E.-S.; Cameriere R.
Format: Article
Language:English
Published: Springer Science and Business Media Deutschland GmbH 2023
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144121530&doi=10.1007%2fs00414-022-02930-x&partnerID=40&md5=63ec4107edb85cff2653410cbc48fb24
id 2-s2.0-85144121530
spelling 2-s2.0-85144121530
Angelakopoulos N.; De Luca S.; Oliveira-Santos I.; Ribeiro I.L.A.; Bianchi I.; Balla S.B.; Kis H.C.; Jiménez L.G.; Zolotenkova G.; Yusof M.Y.P.; Selmanagić A.H.; Pandey H.; Pereira P.C.; da Nóbrega J.B.M.; Kalani H.; Mieke S.M.; Kumagai A.; Gulsahi A.; Zelić K.; Marinković N.; Kelmendi J.; Galić I.; Vázquez I.S.; Spinas E.; Velezmoro-Montes Y.W.; Moukarzel M.; Toledo J.P.; El-Bakary A.A.E.-S.; Cameriere R.
Third molar maturity index (I 3M) assessment according to different geographical zones: a large multi-ethnic study sample
2023
International Journal of Legal Medicine
137
2
10.1007/s00414-022-02930-x
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144121530&doi=10.1007%2fs00414-022-02930-x&partnerID=40&md5=63ec4107edb85cff2653410cbc48fb24
Identification of living undocumented individuals highlights the need for accurate, precise, and reproducible age estimation methods, especially in those cases involving minors. However, when their country of origin is unknown, or it can be only roughly estimated, it is extremely difficult to apply assessment policies, procedures, and practices that are accurate and child-sensitive. The main aim of this research is to optimize the correct classification of adults and minors by establishing new cut-off values for four different continents (Africa, America, Asia, and Europe). For this purpose, a vast sample of 10,701 orthopantomographs (OPTs) from four continents was evaluated. For determination and subsequent validation of the new third molar maturity index (I3M) cut-off values by world regions, a cross-validation by holdout method was used and contingency tables (confusion matrices) were generated. The lower third molar maturity indexes, from both left and right side (I3ML and I3MR) and the combination of both sides (I3ML_I3MR) were calculated. The new cut-off values, that aim to differentiate between a minor and an adult, with more than 74.00% accuracy for all populations were as follows (I3ML; I3MR; I3ML_I3MR, respectively): Africa = (0.10; 0.10; 0.10), America = (0.10; 0.09; 0.09), Asia = (0.15; 0.17; 0.14), and Europe = (0.09; 0.09; 0.09). The higher sensitivity (Se) was detected for the I3ML for male African people (91%) and the higher specificity (Sp) of all the parameters (I3ML; I3MR; I3ML_I3MR) for Europeans both male and female (> 91%). The original cut-off value (0.08) is still useful, especially in discriminating individuals younger than 18 years old which is the goal of the forensic methods used for justice. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
Springer Science and Business Media Deutschland GmbH
9379827
English
Article

author Angelakopoulos N.; De Luca S.; Oliveira-Santos I.; Ribeiro I.L.A.; Bianchi I.; Balla S.B.; Kis H.C.; Jiménez L.G.; Zolotenkova G.; Yusof M.Y.P.; Selmanagić A.H.; Pandey H.; Pereira P.C.; da Nóbrega J.B.M.; Kalani H.; Mieke S.M.; Kumagai A.; Gulsahi A.; Zelić K.; Marinković N.; Kelmendi J.; Galić I.; Vázquez I.S.; Spinas E.; Velezmoro-Montes Y.W.; Moukarzel M.; Toledo J.P.; El-Bakary A.A.E.-S.; Cameriere R.
spellingShingle Angelakopoulos N.; De Luca S.; Oliveira-Santos I.; Ribeiro I.L.A.; Bianchi I.; Balla S.B.; Kis H.C.; Jiménez L.G.; Zolotenkova G.; Yusof M.Y.P.; Selmanagić A.H.; Pandey H.; Pereira P.C.; da Nóbrega J.B.M.; Kalani H.; Mieke S.M.; Kumagai A.; Gulsahi A.; Zelić K.; Marinković N.; Kelmendi J.; Galić I.; Vázquez I.S.; Spinas E.; Velezmoro-Montes Y.W.; Moukarzel M.; Toledo J.P.; El-Bakary A.A.E.-S.; Cameriere R.
Third molar maturity index (I 3M) assessment according to different geographical zones: a large multi-ethnic study sample
author_facet Angelakopoulos N.; De Luca S.; Oliveira-Santos I.; Ribeiro I.L.A.; Bianchi I.; Balla S.B.; Kis H.C.; Jiménez L.G.; Zolotenkova G.; Yusof M.Y.P.; Selmanagić A.H.; Pandey H.; Pereira P.C.; da Nóbrega J.B.M.; Kalani H.; Mieke S.M.; Kumagai A.; Gulsahi A.; Zelić K.; Marinković N.; Kelmendi J.; Galić I.; Vázquez I.S.; Spinas E.; Velezmoro-Montes Y.W.; Moukarzel M.; Toledo J.P.; El-Bakary A.A.E.-S.; Cameriere R.
author_sort Angelakopoulos N.; De Luca S.; Oliveira-Santos I.; Ribeiro I.L.A.; Bianchi I.; Balla S.B.; Kis H.C.; Jiménez L.G.; Zolotenkova G.; Yusof M.Y.P.; Selmanagić A.H.; Pandey H.; Pereira P.C.; da Nóbrega J.B.M.; Kalani H.; Mieke S.M.; Kumagai A.; Gulsahi A.; Zelić K.; Marinković N.; Kelmendi J.; Galić I.; Vázquez I.S.; Spinas E.; Velezmoro-Montes Y.W.; Moukarzel M.; Toledo J.P.; El-Bakary A.A.E.-S.; Cameriere R.
title Third molar maturity index (I 3M) assessment according to different geographical zones: a large multi-ethnic study sample
title_short Third molar maturity index (I 3M) assessment according to different geographical zones: a large multi-ethnic study sample
title_full Third molar maturity index (I 3M) assessment according to different geographical zones: a large multi-ethnic study sample
title_fullStr Third molar maturity index (I 3M) assessment according to different geographical zones: a large multi-ethnic study sample
title_full_unstemmed Third molar maturity index (I 3M) assessment according to different geographical zones: a large multi-ethnic study sample
title_sort Third molar maturity index (I 3M) assessment according to different geographical zones: a large multi-ethnic study sample
publishDate 2023
container_title International Journal of Legal Medicine
container_volume 137
container_issue 2
doi_str_mv 10.1007/s00414-022-02930-x
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144121530&doi=10.1007%2fs00414-022-02930-x&partnerID=40&md5=63ec4107edb85cff2653410cbc48fb24
description Identification of living undocumented individuals highlights the need for accurate, precise, and reproducible age estimation methods, especially in those cases involving minors. However, when their country of origin is unknown, or it can be only roughly estimated, it is extremely difficult to apply assessment policies, procedures, and practices that are accurate and child-sensitive. The main aim of this research is to optimize the correct classification of adults and minors by establishing new cut-off values for four different continents (Africa, America, Asia, and Europe). For this purpose, a vast sample of 10,701 orthopantomographs (OPTs) from four continents was evaluated. For determination and subsequent validation of the new third molar maturity index (I3M) cut-off values by world regions, a cross-validation by holdout method was used and contingency tables (confusion matrices) were generated. The lower third molar maturity indexes, from both left and right side (I3ML and I3MR) and the combination of both sides (I3ML_I3MR) were calculated. The new cut-off values, that aim to differentiate between a minor and an adult, with more than 74.00% accuracy for all populations were as follows (I3ML; I3MR; I3ML_I3MR, respectively): Africa = (0.10; 0.10; 0.10), America = (0.10; 0.09; 0.09), Asia = (0.15; 0.17; 0.14), and Europe = (0.09; 0.09; 0.09). The higher sensitivity (Se) was detected for the I3ML for male African people (91%) and the higher specificity (Sp) of all the parameters (I3ML; I3MR; I3ML_I3MR) for Europeans both male and female (> 91%). The original cut-off value (0.08) is still useful, especially in discriminating individuals younger than 18 years old which is the goal of the forensic methods used for justice. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
publisher Springer Science and Business Media Deutschland GmbH
issn 9379827
language English
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