Literature DB >> 21493876

Dental radiographic indicators, a key to age estimation.

A S Panchbhai1.   

Abstract

OBJECTIVE: The present review article is aimed at describing the radiological methods utilized for human age identification.
METHODS: The application and importance of radiological methods in human age assessment was discussed through the literature survey.
RESULTS: Following a literature search, 46 articles were included in the study and the relevant information is depicted in the article. Dental tissue is often preserved indefinitely after death. Implementation of radiography is based on the assessment of the extent of calcification of teeth and in turn the degree of formation of crown and root structures, along with the sequence and the stages of eruption. Several radiological techniques can be used to assist in both individual and general identification, including determination of gender, ethnic group and age. The radiographic method is a simpler and cheaper method of age identification compared with histological and biochemical methods. Radiographic and tomographic images have become an essential aid for human identification in forensic dentistry, particularly with the refinement of techniques and the incorporation of information technology resources.
CONCLUSION: Based on an appropriate knowledge of the available methods, forensic dentists can choose the most appropriate since the validity of age estimation crucially depends on the method used and its proper application. The multifactorial approach will lead to optimum age assessment. The legal requirements also have to be considered.

Entities:  

Mesh:

Year:  2011        PMID: 21493876      PMCID: PMC3520308          DOI: 10.1259/dmfr/19478385

Source DB:  PubMed          Journal:  Dentomaxillofac Radiol        ISSN: 0250-832X            Impact factor:   2.419


  24 in total

1.  The accuracy and precision of third molar development as an indicator of chronological age in Hispanics.

Authors:  Ann C Solari; Kenneth Abramovitch
Journal:  J Forensic Sci       Date:  2002-05       Impact factor: 1.832

2.  Third molar root development in relation to chronological age: a large sample sized retrospective study.

Authors:  K Gunst; K Mesotten; A Carbonez; G Willems
Journal:  Forensic Sci Int       Date:  2003-09-09       Impact factor: 2.395

3.  The permanent mandibular first molar: its calcification, eruption and decay.

Authors:  I GLEISER; E E HUNT
Journal:  Am J Phys Anthropol       Date:  1955-06       Impact factor: 2.868

4.  Dental age estimation through volume matching of teeth imaged by cone-beam CT.

Authors:  Fan Yang; Reinhilde Jacobs; Guy Willems
Journal:  Forensic Sci Int       Date:  2006-03-23       Impact factor: 2.395

5.  Age estimation by pulp/tooth ratio in canines by peri-apical X-rays.

Authors:  Roberto Cameriere; Luigi Ferrante; Maria Giovanna Belcastro; Benedetta Bonfiglioli; Elisa Rastelli; Mariano Cingolani
Journal:  J Forensic Sci       Date:  2007-01       Impact factor: 1.832

6.  Forensic dental investigations and age assessment of asylum seekers.

Authors:  Emilio Nuzzolese; Giancarlo Di Vella
Journal:  Int Dent J       Date:  2008-06       Impact factor: 2.512

7.  Age estimation of adults from dental radiographs.

Authors:  S I Kvaal; K M Kolltveit; I O Thomsen; T Solheim
Journal:  Forensic Sci Int       Date:  1995-07-28       Impact factor: 2.395

8.  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

9.  The accuracy of dental panoramic radiography as an indicator of chronological age in Iranian individuals.

Authors:  F Ardakani; N Bashardoust; M Sheikhha
Journal:  J Forensic Odontostomatol       Date:  2007-12

10.  Dental maturity as an indicator of chronological age: radiographic assessment of dental age in a Brazilian population.

Authors:  Lucio Mitsuo Kurita; Alynne Vieira Menezes; Marcia Spinelli Casanova; Francisco Haiter-Neto
Journal:  J Appl Oral Sci       Date:  2007-04       Impact factor: 2.698

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  45 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.  Evaluation of the ossification of the medial clavicle according to the Kellinghaus substage system in identifying the 18-year-old age limit in the estimation of forensic age-is it necessary?

Authors:  Murat Serdar Gurses; Nursel Turkmen Inanir; Esra Soylu; Gokhan Gokalp; Elif Kir; Recep Fedakar
Journal:  Int J Legal Med       Date:  2016-12-16       Impact factor: 2.686

3.  Evaluation of age estimation in forensic medicine by examination of medial clavicular ossification from thin-slice computed tomography images.

Authors:  Murat Serdar Gurses; Nursel Turkmen Inanir; Gokhan Gokalp; Recep Fedakar; Eren Tobcu; Gokhan Ocakoglu
Journal:  Int J Legal Med       Date:  2016-06-28       Impact factor: 2.686

4.  Age estimation based on pulp cavity/chamber volume of 13 types of tooth from cone beam computed tomography images.

Authors:  Zhi-Pu Ge; Pan Yang; Gang Li; Ji-Zong Zhang; Xu-Chen Ma
Journal:  Int J Legal Med       Date:  2016-05-24       Impact factor: 2.686

5.  A new model of classification of third molars development and its correlation with chronological age in a Brazilian subpopulation.

Authors:  Hugo Gaêta-Araujo; N Oliveira-Santos; E H L Nascimento; F Nogueira-Reis; A C Oenning; F C Groppo; C Oliveira-Santos
Journal:  Int J Legal Med       Date:  2020-08-25       Impact factor: 2.686

6.  Applicability of Cameriere's and Drusini's age estimation methods to a sample of Turkish adults.

Authors:  Boyacioglu Dogru Hatice; Avcu Nihal; Akkaya Nursel; Yilanci Humeyra Ozge; Dincer Goksuluk
Journal:  Dentomaxillofac Radiol       Date:  2017-07-14       Impact factor: 2.419

7.  Age estimation based on 3D pulp chamber segmentation of first molars from cone-beam-computed tomography by integrated deep learning and level set.

Authors:  Qiang Zheng; Zhipu Ge; Han Du; Gang Li
Journal:  Int J Legal Med       Date:  2020-11-13       Impact factor: 2.686

8.  Reliability of Third Molar Development for Age Estimation by Radiographic Examination (Demirjian's Method).

Authors:  Sushil B Naik; Swapnil N Patil; Seema D Kamble; Tushar Mowade; Pavan Motghare
Journal:  J Clin Diagn Res       Date:  2014-05-15

9.  Age and sex estimation based on pulp cavity volume using cone beam computed tomography: development and validation of formulas in a Brazilian sample.

Authors:  Vanessa M Andrade; Rocharles C Fontenele; Andreia Cb de Souza; Casimiro Ap de Almeida; Andrea Cd Vieira; Francisco C Groppo; Deborah Q Freitas; Eduardo D Junior
Journal:  Dentomaxillofac Radiol       Date:  2019-08-01       Impact factor: 2.419

10.  Evaluation of the Artificial Neural Network and Naive Bayes Models Trained with Vertebra Ratios for Growth and Development Determination.

Authors:  Hatice Kök; Mehmet Said İzgi; Ayşe Merve Acılar
Journal:  Turk J Orthod       Date:  2020-12-02
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