|
|||||
|
|
Third molar maturity index (I3M) assessment according to different geographical zones: a large multi-ethnic study sample |
|
| Authors: | 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 |
| Affiliation: | 1.Department of Orthodontics and Dentofacial Orthopaedics, University of Bern, Bern, Switzerland ;2.AgEstimation Project, Department of Medicine and Health Sciences “Vincenzo Tiberio,” University of Molise, Campobasso, Italy ;3.Panacea Cooperative Research S. Coop, Ponferrada, Spain ;4.Centre for Functional Ecology, Laboratory of Forensic Anthropology, Department of Life Sciences, University of Coimbra, Coimbra, Portugal ;5.Postgraduate Program in Dentistry, Universidade Federal da Paraíba, Joao Pessoa, , Paraiba, Brazil ;6.Department of Law, Institute of Legal Medicine, University of Macerata, Macerata, Italy ;7.Department of Forensic Odontology, Panineeya Institute of Dental Sciences and Research Center, Hyderabad, Telangana, India ;8.Department of Orthodontics, Tokat Gaziosmanpaşa University, Tokat, Turkey ;9.Instituto Nacional de Patología “Dr. Sergio Sarita Valdez,”, Santo Domingo, Dominican Republic ;10.Department of Forensic Medicine, I.M. Sechenov First Moscow State Medical University, Moscow, Russia ;11.Centre for Oral & Maxillofacial Diagnostics and Medicine Studies, Faculty of Dentistry, Universiti Teknologi MARA, Sungai Buloh Campus, Selangor, Malaysia ;12.Department of Dental Morphology With Dental Anthropology and Forensics, Faculty of Dentistry, University of Sarajevo, Sarajevo, Bosnia and Herzegovina ;13.Department of Forensic Medicine and Toxicology, Seth GS Medical College and KEM Hospital, Mumbai, India ;14.Facultade de Medicina Dentária, Universidade de Lisboa, Lisbon, Portugal ;15.Postgraduate Program in Dentistry, Universidade Federal da Paraíba, Joao Pessoa, Paraiba, Brazil ;16.Department of Oral Medicine and Periodontology, Faculty of Dental Sciences, University of Peradeniya, Peradeniya, Sri Lanka ;17.Department of Forensic Odontology, Faculty of Dental Medicine, Universitas Airlangga, Surabaya, Indonesia ;18.Division of Forensic Odontology and Disaster Oral Medicine, Department of Forensic Science, Iwate Medical University, Morioka, Iwate, Japan ;19.Dentomaxillofacial Radiology Department, Faculty of Dentistry, Baskent University, Ankara, Turkey ;20.Laboratory of Anthropology, Institute of Anatomy, School of Medicine, University of Belgrade, Belgrade, Serbia ;21.Clinic for Orthodontics, School of Dental Medicine, University of Belgrade, Belgrade, Serbia ;22.Department of Orthodontics, Faculty of Medicine Alma Mater Europaea, University of Pristina, Campus Rezonanca, Pristina, Kosovo ;23.Department of Oral Surgery, School of Medicine, University of Split, Split, Croatia ;24.Forensic Odontologist, Department of Medicine and Health Sciences “Vincenzo Tiberio,” University of Molise, Campobasso, Italy ;25.Department of Surgical Sciences, Section of Dentistry, University of Cagliari, Cagliari, Italy ;26.Forensic Dentistry, Scientific University of the South, Lima, Peru ;27.Beirut, Lebanon ;28.Departamento de Patología Y Medicina Oral, Facultad de Odontología, Universidad de Chile, Santiago, Chile ;29.Escuela de Odontología, Facultad de Medicina, Universidad Católica de Chile, Santiago, Chile ;30.Faculty of Medicine, Mansoura University, Mansoura, Egypt ; |
| 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 (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. |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ | |