Anthropometric analysis of mandible: an important step for sex determination

Aspalilah Alias, Abdel Nasser Ibrahim, Siti Noorain Abu Bakar, Mohamed Swarhib Shafie, Srijit Das, Nurliza Abdullah, Helmee Mohammad Noor, Iman Yi Liao, Faridah Mohd. Nor

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

INTRODUCTION: The first step in the forensic identification is sex determination followed by age and stature estimation, as both are sex-dependent. The mandible is the largest, strongest and most durable bone in the face. Mandible is important for sex confirmation in absence of a complete pelvis and skull. AIM: The aim of the present study was to determine sex of human mandible from morphology, morphometric measurements as well as discriminant function analysis from the CT scan. MATERIALS AND METHODS: The present retrospective study comprised 79 subjects (48 males, 31 females), with age group between 18 and 74 years, and were obtained from the post mortem computed tomography data in the Hospital Kuala Lumpur. The parameters were divided into three morphologic and nine morphometric parameters, which were measured by using Osirix MD Software 3D Volume Rendering. RESULTS: The Chi-square test showed that men were significantly association with square-shaped chin (92%), prominent muscle marking (85%) and everted gonial glare, whereas women had pointed chin (84%), less prominent muscle marking (90%) and inverted gonial glare (80%). All parameter measurements showed significantly greater values in males than in females by independent t-test (p< 0.01). By discriminant analysis, the classification accuracy was 78.5%, the sensitivity was 79.2% and the specificity was 77.4%. The discriminant function equation was formulated based on bigonial breath and condylar height, which were the best predictors. CONCLUSION: In conclusion, the mandible could be distinguished according to the sex. The results of the study can be used for identification of damaged and/or unknown mandible in the Malaysian population.

Original languageEnglish
Pages (from-to)e217-e223
JournalLa Clinica terapeutica
Volume169
Issue number5
DOIs
Publication statusPublished - 1 Sep 2018

Fingerprint

Mandible
Glare
Chin
Discriminant Analysis
Muscles
Chi-Square Distribution
Pelvis
Skull
Software
Retrospective Studies
Age Groups
Tomography
Bone and Bones
Population

Keywords

  • Forensic
  • Identification
  • Mandible
  • Morphology
  • Three-dimensional computed tomography

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Alias, A., Ibrahim, A. N., Abu Bakar, S. N., Swarhib Shafie, M., Das, S., Abdullah, N., ... Mohd. Nor, F. (2018). Anthropometric analysis of mandible: an important step for sex determination. La Clinica terapeutica, 169(5), e217-e223. https://doi.org/10.7417/CT.2018.2082

Anthropometric analysis of mandible : an important step for sex determination. / Alias, Aspalilah; Ibrahim, Abdel Nasser; Abu Bakar, Siti Noorain; Swarhib Shafie, Mohamed; Das, Srijit; Abdullah, Nurliza; Noor, Helmee Mohammad; Liao, Iman Yi; Mohd. Nor, Faridah.

In: La Clinica terapeutica, Vol. 169, No. 5, 01.09.2018, p. e217-e223.

Research output: Contribution to journalArticle

Alias, A, Ibrahim, AN, Abu Bakar, SN, Swarhib Shafie, M, Das, S, Abdullah, N, Noor, HM, Liao, IY & Mohd. Nor, F 2018, 'Anthropometric analysis of mandible: an important step for sex determination', La Clinica terapeutica, vol. 169, no. 5, pp. e217-e223. https://doi.org/10.7417/CT.2018.2082
Alias A, Ibrahim AN, Abu Bakar SN, Swarhib Shafie M, Das S, Abdullah N et al. Anthropometric analysis of mandible: an important step for sex determination. La Clinica terapeutica. 2018 Sep 1;169(5):e217-e223. https://doi.org/10.7417/CT.2018.2082
Alias, Aspalilah ; Ibrahim, Abdel Nasser ; Abu Bakar, Siti Noorain ; Swarhib Shafie, Mohamed ; Das, Srijit ; Abdullah, Nurliza ; Noor, Helmee Mohammad ; Liao, Iman Yi ; Mohd. Nor, Faridah. / Anthropometric analysis of mandible : an important step for sex determination. In: La Clinica terapeutica. 2018 ; Vol. 169, No. 5. pp. e217-e223.
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AU - Das, Srijit

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