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  Table of Contents  
ORIGINAL ARTICLE
Year : 2019  |  Volume : 11  |  Issue : 2  |  Page : 73-77  

Brazilian's dental anthropometry: Human identification


Department of Health Sciences and Children's Dentistry, UNICAMP-State University of Campinas, Faculty of Dentistry, Piracicaba, Bairro Areião, Brazil

Date of Submission20-Aug-2019
Date of Acceptance11-Dec-2019
Date of Web Publication24-Jan-2020

Correspondence Address:
Prof. Luiz Francesquini Junior
Avenida Limeira, 901 - Bairro Areião, CEP: 13414-903, Piracicaba/SP
Brazil
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/jfo.jfds_65_19

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   Abstract 


Background: Human stature and sex determination are significant data that can and should be used in criminal profiling in the human identification processes. Teeth are widely used in investigations because of their properties of resistance and uniqueness. Aims: The present study aimed to verify, by means of dental anthropometry, the correlation of these with the stature and sex. Materials and Methods: Measurements of linear (mid distal and incisor cervical) dental measurements were performed on the upper right teeth of Brazilians, aged between 18 and 30 years, being 100 male and 100 female participants. Linear dental measurements were measured with a digital caliper and stature was measured with a stadiometer. For the statistical analysis, the IBM® SPSS® 25 Statistics program was used. Kolmogorov–Smirnov, Pearson correlation, and Stepwise-Forward (Wald) logistic regression analyses were applied to sex determination and stature estimation. Results: The results indicated that all measures performed are dimorphic, but that lateral incisor and canine tooth measurements are statistically significant with a P ≤ 0.001. The obtained model allows for sexing with 70.5% accuracy, being able to be used in anthropological studies in Brazilians. Conclusion: It can be concluded that dental measurements are useful tools to identify gender and the canine measurements also showed a strong and proportional correlation with stature, but it was not possible to establish a mathematical model for this.

Keywords: Dental, human identification, sex determination, stature


How to cite this article:
Couto DM, Gallassi NC, Gomes SL, Ulbricht V, Pereira Neto JS, Daruge Junior E, Francesquini Junior L. Brazilian's dental anthropometry: Human identification. J Forensic Dent Sci 2019;11:73-7

How to cite this URL:
Couto DM, Gallassi NC, Gomes SL, Ulbricht V, Pereira Neto JS, Daruge Junior E, Francesquini Junior L. Brazilian's dental anthropometry: Human identification. J Forensic Dent Sci [serial online] 2019 [cited 2020 Feb 27];11:73-7. Available from: http://www.jfds.org/text.asp?2019/11/2/73/276640




   Introduction Top


The process by which one attributes peculiarities and defines an individual is called human identification.[1] Given the difficulties encountered in human remains identification exams, as the number of subsidies found increases, the greater the chances of issuing a report with the positive identity of the individual.[2],[3]

The teeth have the properties of mineralization and indestructibility[4],[5] making it possible to obtain relevant information regarding ancestry, stature, age, and sex.[6],[7]

Stature can be estimated using long-bone measurements[8],[9] and also using dental measurements of the mandible using Carrea[10],[11],[12] and Lima et al.[3] method.

Sex determination is an important information used in identification processes, and teeth can provide us with this information to a high degree of reliability.[5],[13],[14],[15],[16]

In view of this, the present study sought to verify if there is a proportional relationship between dental measurements with stature and sex.


   Subjects and Methods Top


Sample

The sample consisted of 100 males and 100 females, aged between 18 and 30 years, with a mean age of 22.9 ± 3.27 years. Participants, who had uncorrupted central incisors, lateral, and upper right upper canine elements were included in the study. Individuals who reported hormonal problems, parafunctional dental habits, gingival hyperplasias, erosions in measurement areas, or who had undergone sex-change surgery were excluded from the study.

Ethical aspects

The Ethics Committee of the University of Dentistry of Piracicaba/UNICAMP approved the study (CEP/FOP/UNICAMP CAAE 87344418.8.0000.5418 de 03/05/2018), and the study was carried out in accordance with the Norms and Ethical Guidelines of Resolution No. 466/2014 of the National Health Council of the Brazilian Ministry of Health.

Methodology

A prior clinical examination discarded the participants that did not fit the criteria established by the research project. Information regarding gender and age was collected directly from the general registration document.

Anthropometric measurement

Stature

The stature was measured using an aluminum wall stadiometer with a maximum height of 2.200 mm. The participant was asked to lean against it, barefoot and in an upright position, with their head positioned with the Frankfurt plane parallel to the ground.

Dental measurements

With a 150-mm stainless steel digital caliper adjusted and adapted [Figure 1], the mesiodistal and cervicoincisal measurements of the crowns and teeth were measured in millimeters: Central maxillary, lateral and canine incisors, always considering the largest measurement in the horizontal and sagittal planes [Figure 2], the right side was chosen randomly to standardize the study.
Figure 1: (a) Stainless® conventional digital pachymeter and (b) adapted pachymeter

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Figure 2: Dental measurements

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Statistical considerations

An intraexaminer calibration was performed beforehand, in which the dental measurements of 25 participants were checked three times in different periods with a concordance index of 0.93.

The data were inputted into MS Excel and then the IBM® SPSS® 25 USA statistics program was used for the analysis.

The sample consisted of 200 individuals, of which 100 males and 100 females, with the purpose of obtaining the same pairing. In relation to stature, these were grouped into three classes, as shown in [Table 1].
Table 1: Sample distribution in relation to stature

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A descriptive analysis was performed using the central tendency measurements as the mean and the dispersion measurements as the standard deviation for all variables [Table 2].
Table 2: Descriptive statistics

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After checking the general characteristics of the sample, the data were submitted to the Kolmogorov–Smirnov test to verify their normality, as shown in [Table 3]. It was verified that all measures were presented within the nullity hypothesis because all the values obtained indicated a value of P ≥ 0.05, and parametric tests could be used.
Table 3: Kolmogorov-Smirnov test for variables

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   Results Top


Sex determination

The six variables of the study were tested and applying logistic regression for sex determination using the stepwise-forward method (Wald), which goes from the simplest to the most complex model, it was observed that the variables ILS-DIC, CANINE-DMD, and CANINE-DIC were those defined for the elaboration of the best model [Table 4].
Table 4: Stepwise-forward (Wald) logistic regression analysis for sex determination

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For all the variables selected, a Pearson's correlation was done, and there was a strong correlation for all [Table 5], thus confirming the regression test result and in the sequence, the Logito was elaborated.
Table 5: Pearson correlation between model variables

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SEX LOGITO = 13,847+ (0,569*ILS-DIC) + (−1,021*CANINE-DMD) + (−1,105*CANINE-DIC).

[Table 6] reveals that the method results in 72.0% sensitivity, 69.0% specificity, and 70.5% accuracy proving to be effective in sex prediction over mere random hit, that is, values >0.5 (cut-off) would be considered “male” and smaller than 0.5 as “female.”
Table 6: Frequency distribution and correct percentages for sex prediction

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Stature estimation

In relation to stature analysis, person correlation was also applied to the variables, and it was observed that there is a strong and positive correlation between stature and canine measurements. The ILS-DIC measure showed weak correlation [Table 7].
Table 7: Pearson correlation between model variables

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From this study, one can consider those canine measurements are directly proportional to stature, that is, when stature increases, canine measurements also increase. However, it was not possible to elaborate a mathematical prediction model.

In the CANINE-DMD variable analysis, the measurements showed greater homogeneity, and it was observed that the width of the upper canine was very similar in the 144–159 cm and 160–170 cm groups, whereas individuals taller than 176 cm presented a mesiodistal distance canine median of 8 mm. Only, this group presented values >9 mm for this measurement [Graph 1].



Moreover, finally the CANINE-DIC presented greater value discrepancy and outliers [Graph 2].




   Discussion Top


In the present study, when testing the regression model, a sex prediction accuracy of 70.5% in the upper right dental elements analysis was obtained, according to the data obtained by Peckmann et al.[5] (66.7% accuracy) in their study of the mesiodistal distances of the maxillary central incisors and canines.

Viciano et al.[17] concluded that canines are the most dimorphic teeth with a prediction index of 76.5% including in a study of adolescents. Already in 2013, Viciano et al. had developed a model using canine measurements with prediction accuracy of between 78.1% and 93.1%.[18]

Martínez et al.[14] validated regression models in 98 lower canines in the city of Bogotá, Colombia, obtaining 87.8% for males and 52.8% for females.

In the same line of significant results, after measuring 500 participants, Shankar et al.[4] concluded that the mesiodistal distances of the lower canines and the intercanine distance of the mandible provide good evidence for sexual identification. The intercanine distance was also evaluated by Júnior et al.,[19] with a success rate of 25% in sex determination.

Munoz et al.[20] also measured fifty canines in Spain and found that, of permanent canines, the lower ones are the most dimorphic, data also found in an analysis study of all permanent teeth by Sabóia et al.[21]

Even the studies pointing to the more dimorphic lower canines in accordance with that presented the systematic review by Pratapiene et al.[15] It is known that the jaw is often unavailable for analysis, as it is a small bone and disarticulated from the skull, and hence, studies with upper dental elements are of utmost importance.

In relation to stature estimation in this study, it could be observed that the shorter individuals have shorter upper canines. The first studies relating stature and dental measurements were by Carrea[10] who proposed a mathematical model using the measurements of the lower teeth. Furlan et al.[6] in validated Carrea's method in the north-western region of Paraná, Brazil, presenting a 91.6% accuracy index of stature prediction.

Bezerra et al.[22] replicated the Carrea technique paired with a modification proposed by Cavalcanti,[12] where they verified the reliability of the modified method compared to the original, achieving similar values for both techniques. However, Lima et al.[3] modified the Carrea technique and managed to achieve results more favorable to the estimate of height utilizing dental measures (arc and chord) of the mandible with and without malocclusion. It is known that the Carrea technique and/or other modified methods are dependent on the existence of a complete arch of lower teeth, and in Brazil, this arch is not always present due to edentulism and/or the relation to the lack of a fully-featured set of teeth. This study sought a correlation between upper teeth and their height; however, no mathematical model was obtained for the estimate, and as such further studies are recommended.


   Conclusion Top


It can be concluded that dental measurements are useful tools to identify gender and the canine measurements also showed a strong and proportional correlation with stature, but it was not possible to establish a mathematical model for this.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.



 
   References Top

1.
de Boer HH, Maat GJ, Kadarmo DA, Widodo PT, Kloosterman AD, Kal AJ. DNA identification of human remains in Disaster Victim Identification (DVI): An efficient sampling method for muscle, bone, bone marrow and teeth. Forensic Sci Int 2018;289:253-9.  Back to cited text no. 1
    
2.
Cavalcante MT, Leite IS, Brito RM, Paulino MR, Torres BO, Batista MI. Height estimation by dental elements using the modified and career method. Rev Derecho Cambio Soc 2018;1:1-5.  Back to cited text no. 2
    
3.
Lima LN, Tinoco RL, Picapedra A, Sassi C, Ulbricht V, Schmidt CM, et al. Stature estimate by the upper arch – Carrea´s method modified. Int J Odontostomatol 2017;11:123-7.  Back to cited text no. 3
    
4.
Shankar M, Bakkannava S, Manjunath VC, Kumar GP. Canine index – A tool for sex determination. Egypt J Forensic Sci 2015;5:157-61.  Back to cited text no. 4
    
5.
Peckmann TR, Logar C, Garrido-Varas CE, Meek S, Pinto XT. Sex determination using the mesio-distal dimension of permanent maxillary incisors and canines in a modern Chilean population. Sci Justice 2016;56:84-9.  Back to cited text no. 5
    
6.
Furlan AC, Nogueira BS, Demetrio AT, Lolli LF. Validation of the Carrea method in northwestern Paraná State Brazil. Rev Bras Odontol Leg RBOL 2016;3:15-23.  Back to cited text no. 6
    
7.
Valenzuela A, Martin-de las Heras S, Marques T, Exposito N, Bohoyo JM. The application of dental methods of identification to human burn victims in a mass disaster. Int J Legal Med 2000;113:236-9.  Back to cited text no. 7
    
8.
Daruge E, Francesquini L Jr., Daruge E Jr. Treaty of Forensic Dentistry and Deontology. 1st ed. Rio de Janeiro: Guanabara Koogan; 2017.  Back to cited text no. 8
    
9.
Vanrell JP. Forensic Dentistry and Forensic Anthropology. Rio de Janeiro: Guanabara Koogan; 2009.  Back to cited text no. 9
    
10.
Carrea JU. Dental Tests, PhD Thesis, National University of Buenos Aires; 1920.  Back to cited text no. 10
    
11.
Herrera LM, Serra MC, Fernandes CM. Height estimation by dental dimensions: A literature review. Rev Bras Odontol Leg RBOL 2014;1:18-29.  Back to cited text no. 11
    
12.
Cavalcanti AL, Porto DE, Maia AM, Melo TR. Height estimation using dental analysis: Comparative study between the Carrea method and the modified method. Rev Odontol UNESP 2007;36:335-9.  Back to cited text no. 12
    
13.
Sales-Peres A, Sales-Peres SH, Castañeda-Espinosa JC, Cardoso CL, Herrera FC, Caetano I, et al. Identification of corpses through the dental arch. Rev Odontol Araçatuba 2006;27:25-7.  Back to cited text no. 13
    
14.
Martínez JA, Jaime ND, Diaz LC, Cortez SM. Verification of the applicability of the logistic regression formula to determine sex by measuring lower canine dentistry in a Bogotana grandmother. Univ Odontol 2009;28:87-94.  Back to cited text no. 14
    
15.
Pratapiene M, Cicciù M, Juodzbalys G. Canines mesiodistal measures as the key to sex prediction: A systematic review and meta-analysis. Minerva Pediatr 2016;68:288-98.  Back to cited text no. 15
    
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Krishan H. Antropometry in forensic medicine and forensic science – Forensic anthropometry. Internet J Forensic Sci 2006;2:1.  Back to cited text no. 16
    
17.
Viciano J, Alemán I, D'Anastasio R, Capasso L, Botella MC. Odontometric sex discrimination in the Herculaneum sample (79 AD, Naples, Italy), with application to juveniles. Am J Phys Anthropol 2011;145:97-106.  Back to cited text no. 17
    
18.
Viciano J, López-Lázaro S, Alemán I. Sex estimation based on deciduous and permanent dentition in a contemporary Spanish population. Am J Phys Anthropol 2013;152:31-43.  Back to cited text no. 18
    
19.
Júnior AE, Reis FP, Galvão LC, Alves MC, Campos PS. Analysis of intercanine distance in relation to sex and its application in the identification and interpretation of bite marks. Rev Pós Grad 2012;19:14-20.  Back to cited text no. 19
    
20.
Munoz BI, Catala MY, Plasencia E. Estimation of sex from the odontometric analysis of permanent canines. Rev Esp Antropol Fís 2014;35:1-10.  Back to cited text no. 20
    
21.
Sabóia TM, Tannure PN, Luiz RR, Costa MC, Granjeiro JM, Küchler EC, et al. Dimorfismo sexual envolvido nas dimensões mesiodistal e bucolingual dos dentes permanentes. Internet Dent 2013;1:1.  Back to cited text no. 21
    
22.
Bezerra AF, Galvão PV, Silva JM, Fontes Filho AR, Cavalcanti LB, Souza EH. Estimation of human height through dental analysis: Application of the Carrea method and the one modified by Cavalcanti. Rev Bras Odontol Leg RBOL 2017;1:40-7.  Back to cited text no. 22
    


    Figures

  [Figure 1], [Figure 2]
 
 
    Tables

  [Table 1], [Table 2], [Table 3], [Table 4], [Table 5], [Table 6], [Table 7]



 

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