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Third molar maturity index (I3M) 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 2023-03, Vol.137 (2), p.403-425 |
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container_title | International journal of legal medicine |
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creator | Angelakopoulos, Nikolaos De Luca, Stefano Oliveira-Santos, Inês Ribeiro, Isabella Lima Arrais Bianchi, Ilenia Balla, Sudheer B. Kis, Hatice Cansu Jiménez, Lourdes Gómez Zolotenkova, Galina Yusof, Mohd Yusmiaidil Putera Selmanagić, Aida Hadzić Pandey, Hemlata Pereira, Palmela C. da Nóbrega, Johnys Berton Medeiros Kalani, Hettiarachchi Mieke, Sylvia M. Kumagai, Akiko Gulsahi, Ayse Zelić, Ksenija Marinković, Nemanja Kelmendi, Jeta Galić, Ivan Vázquez, Israel Soriano Spinas, Enrico Velezmoro-Montes, Ymelda Wendy Moukarzel, Maria Toledo, Jorge Pinares El-Bakary, Amal Abd El-Salam Cameriere, Roberto |
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 (
I
3M
) 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 (
I
3M
L
and
I
3M
R
) and the combination of both sides (
I
3M
L
_
I
3M
R
) 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 (
I
3M
L
;
I
3M
R
;
I
3M
L
_
I
3M
R
, 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
I
3M
L
for male African people (91%) and the higher specificity (Sp) of all the parameters (
I
3M
L
;
I
3M
R
;
I
3M
L
_
I
3M
R
) 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. |
doi_str_mv | 10.1007/s00414-022-02930-x |
format | article |
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I
3M
) 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 (
I
3M
L
and
I
3M
R
) and the combination of both sides (
I
3M
L
_
I
3M
R
) 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 (
I
3M
L
;
I
3M
R
;
I
3M
L
_
I
3M
R
, 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
I
3M
L
for male African people (91%) and the higher specificity (Sp) of all the parameters (
I
3M
L
;
I
3M
R
;
I
3M
L
_
I
3M
R
) 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.</description><identifier>ISSN: 0937-9827</identifier><identifier>EISSN: 1437-1596</identifier><identifier>DOI: 10.1007/s00414-022-02930-x</identifier><identifier>PMID: 36520207</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adolescent ; Adult ; Age ; Age Determination by Teeth - methods ; Asia ; Chronology ; Continents ; Contingency ; Europe ; Female ; Forensic Medicine ; Forensic odontology ; Humans ; Male ; Males ; Medical Law ; Medicine ; Medicine & Public Health ; Molar, Third - diagnostic imaging ; Original Article ; Radiography, Panoramic ; Refugees ; Teeth</subject><ispartof>International journal of legal medicine, 2023-03, Vol.137 (2), p.403-425</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-1e3c92513cbb11c278a4071d796290d786d3a93eb32c9dce17fd9473bc76c3ba3</citedby><cites>FETCH-LOGICAL-c375t-1e3c92513cbb11c278a4071d796290d786d3a93eb32c9dce17fd9473bc76c3ba3</cites><orcidid>0000-0002-1725-0853</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2773473522/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2773473522?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,21376,21394,27924,27925,33611,33769,43733,43814,74221,74310</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36520207$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Angelakopoulos, Nikolaos</creatorcontrib><creatorcontrib>De Luca, Stefano</creatorcontrib><creatorcontrib>Oliveira-Santos, Inês</creatorcontrib><creatorcontrib>Ribeiro, Isabella Lima Arrais</creatorcontrib><creatorcontrib>Bianchi, Ilenia</creatorcontrib><creatorcontrib>Balla, Sudheer B.</creatorcontrib><creatorcontrib>Kis, Hatice Cansu</creatorcontrib><creatorcontrib>Jiménez, Lourdes Gómez</creatorcontrib><creatorcontrib>Zolotenkova, Galina</creatorcontrib><creatorcontrib>Yusof, Mohd Yusmiaidil Putera</creatorcontrib><creatorcontrib>Selmanagić, Aida Hadzić</creatorcontrib><creatorcontrib>Pandey, Hemlata</creatorcontrib><creatorcontrib>Pereira, Palmela C.</creatorcontrib><creatorcontrib>da Nóbrega, Johnys Berton Medeiros</creatorcontrib><creatorcontrib>Kalani, Hettiarachchi</creatorcontrib><creatorcontrib>Mieke, Sylvia M.</creatorcontrib><creatorcontrib>Kumagai, Akiko</creatorcontrib><creatorcontrib>Gulsahi, Ayse</creatorcontrib><creatorcontrib>Zelić, Ksenija</creatorcontrib><creatorcontrib>Marinković, Nemanja</creatorcontrib><creatorcontrib>Kelmendi, Jeta</creatorcontrib><creatorcontrib>Galić, Ivan</creatorcontrib><creatorcontrib>Vázquez, Israel Soriano</creatorcontrib><creatorcontrib>Spinas, Enrico</creatorcontrib><creatorcontrib>Velezmoro-Montes, Ymelda Wendy</creatorcontrib><creatorcontrib>Moukarzel, Maria</creatorcontrib><creatorcontrib>Toledo, Jorge Pinares</creatorcontrib><creatorcontrib>El-Bakary, Amal Abd El-Salam</creatorcontrib><creatorcontrib>Cameriere, Roberto</creatorcontrib><title>Third molar maturity index (I3M) assessment according to different geographical zones: a large multi-ethnic study sample</title><title>International journal of legal medicine</title><addtitle>Int J Legal Med</addtitle><addtitle>Int J Legal Med</addtitle><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 (
I
3M
) 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 (
I
3M
L
and
I
3M
R
) and the combination of both sides (
I
3M
L
_
I
3M
R
) 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 (
I
3M
L
;
I
3M
R
;
I
3M
L
_
I
3M
R
, 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
I
3M
L
for male African people (91%) and the higher specificity (Sp) of all the parameters (
I
3M
L
;
I
3M
R
;
I
3M
L
_
I
3M
R
) 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.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Age</subject><subject>Age Determination by Teeth - methods</subject><subject>Asia</subject><subject>Chronology</subject><subject>Continents</subject><subject>Contingency</subject><subject>Europe</subject><subject>Female</subject><subject>Forensic Medicine</subject><subject>Forensic odontology</subject><subject>Humans</subject><subject>Male</subject><subject>Males</subject><subject>Medical Law</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Molar, Third - diagnostic imaging</subject><subject>Original Article</subject><subject>Radiography, Panoramic</subject><subject>Refugees</subject><subject>Teeth</subject><issn>0937-9827</issn><issn>1437-1596</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ALSLI</sourceid><sourceid>BGRYB</sourceid><sourceid>M0O</sourceid><recordid>eNp9kMlKBDEQhoMoOi4v4EECXvTQmqW7M_EmgxsoXvQc0kl1T6SXMUnDjE9vdEa9eQgVqr76Cz6Ejim5oISIy0BITvOMMJae5CRbbqEJzbnIaCHLbTQhMv3llIk9tB_CGyFUlKLYRXu8LBhhREzQ8mXuvMXd0GqPOx1H7-IKu97CEp898KdzrEOAEDroI9bGDN66vsFxwNbVNfivdgND4_Vi7oxu8cfQQ7jCGqfABnA3ttFlEOe9MzjE0a5w0N2ihUO0U-s2wNGmHqDX25uX2X32-Hz3MLt-zAwXRcwocCNZQbmpKkoNE1OdE0GtkCWTxIppabmWHCrOjLQGqKitzAWvjCgNrzQ_QKfr3IUf3kcIUb0No-_TScWE4AktGEsUW1PGDyF4qNXCu077laJEfclWa9kqyVbfstUyLZ1soseqA_u78mM3AXwNhDTqG_B_t_-J_QTIdYvA</recordid><startdate>20230301</startdate><enddate>20230301</enddate><creator>Angelakopoulos, Nikolaos</creator><creator>De Luca, Stefano</creator><creator>Oliveira-Santos, Inês</creator><creator>Ribeiro, Isabella Lima 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assessment according to different geographical zones: a large multi-ethnic study sample</title><author>Angelakopoulos, Nikolaos ; De Luca, Stefano ; Oliveira-Santos, Inês ; Ribeiro, Isabella Lima Arrais ; Bianchi, Ilenia ; Balla, Sudheer B. ; Kis, Hatice Cansu ; Jiménez, Lourdes Gómez ; Zolotenkova, Galina ; Yusof, Mohd Yusmiaidil Putera ; Selmanagić, Aida Hadzić ; Pandey, Hemlata ; Pereira, Palmela C. ; da Nóbrega, Johnys Berton Medeiros ; Kalani, Hettiarachchi ; Mieke, Sylvia M. ; Kumagai, Akiko ; Gulsahi, Ayse ; Zelić, Ksenija ; Marinković, Nemanja ; Kelmendi, Jeta ; Galić, Ivan ; Vázquez, Israel Soriano ; Spinas, Enrico ; Velezmoro-Montes, Ymelda Wendy ; Moukarzel, Maria ; Toledo, Jorge Pinares ; El-Bakary, Amal Abd El-Salam ; Cameriere, 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Basic</collection><jtitle>International journal of legal medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Angelakopoulos, Nikolaos</au><au>De Luca, Stefano</au><au>Oliveira-Santos, Inês</au><au>Ribeiro, Isabella Lima Arrais</au><au>Bianchi, Ilenia</au><au>Balla, Sudheer B.</au><au>Kis, Hatice Cansu</au><au>Jiménez, Lourdes Gómez</au><au>Zolotenkova, Galina</au><au>Yusof, Mohd Yusmiaidil Putera</au><au>Selmanagić, Aida Hadzić</au><au>Pandey, Hemlata</au><au>Pereira, Palmela C.</au><au>da Nóbrega, Johnys Berton Medeiros</au><au>Kalani, Hettiarachchi</au><au>Mieke, Sylvia M.</au><au>Kumagai, Akiko</au><au>Gulsahi, Ayse</au><au>Zelić, Ksenija</au><au>Marinković, Nemanja</au><au>Kelmendi, Jeta</au><au>Galić, Ivan</au><au>Vázquez, Israel Soriano</au><au>Spinas, Enrico</au><au>Velezmoro-Montes, Ymelda Wendy</au><au>Moukarzel, Maria</au><au>Toledo, Jorge Pinares</au><au>El-Bakary, Amal Abd El-Salam</au><au>Cameriere, Roberto</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Third molar maturity index (I3M) assessment according to different geographical zones: a large multi-ethnic study sample</atitle><jtitle>International journal of legal medicine</jtitle><stitle>Int J Legal Med</stitle><addtitle>Int J Legal Med</addtitle><date>2023-03-01</date><risdate>2023</risdate><volume>137</volume><issue>2</issue><spage>403</spage><epage>425</epage><pages>403-425</pages><issn>0937-9827</issn><eissn>1437-1596</eissn><abstract>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 (
I
3M
) 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 (
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L
and
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3M
R
) and the combination of both sides (
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3M
L
_
I
3M
R
) 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 (
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3M
L
;
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3M
R
;
I
3M
L
_
I
3M
R
, 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
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3M
L
for male African people (91%) and the higher specificity (Sp) of all the parameters (
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3M
L
;
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3M
R
;
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3M
L
_
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3M
R
) 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.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>36520207</pmid><doi>10.1007/s00414-022-02930-x</doi><tpages>23</tpages><orcidid>https://orcid.org/0000-0002-1725-0853</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0937-9827 |
ispartof | International journal of legal medicine, 2023-03, Vol.137 (2), p.403-425 |
issn | 0937-9827 1437-1596 |
language | eng |
recordid | cdi_proquest_journals_2773473522 |
source | Criminology Collection; Social Science Premium Collection; Springer Nature |
subjects | Adolescent Adult Age Age Determination by Teeth - methods Asia Chronology Continents Contingency Europe Female Forensic Medicine Forensic odontology Humans Male Males Medical Law Medicine Medicine & Public Health Molar, Third - diagnostic imaging Original Article Radiography, Panoramic Refugees Teeth |
title | Third molar maturity index (I3M) assessment according to different geographical zones: a large multi-ethnic study sample |
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