Literature DB >> 17680791

Mandibular morphology as an indicator of human subadult age: interlandmark approaches.

Daniel Franklin1, Andrea Cardini.   

Abstract

The dentition is widely recognized as the set of developmental markers that appear to show the least variability against chronological age; these markers are thus widely used in forensic anthropological investigations. As a possible alternative, we investigate here the potential of mandibular morphology as a developmental marker for estimating age at death in subadults. The sample analyzed comprises 79 known age and sex subadult individuals of South African Bantu and African American origin. Linear measurements of ramus height were obtained from the mathematical conversion of three-dimensional landmark data. A series of regression analyses were then performed to predict age by using the measurement of ramus height; results were cross-validated using a jackknife procedure. Our results show that ramus height can be used to predict age in the subadult skeleton with accuracy, closely approaching that of standards based on the dentition (standard error rates are between +/-1.1 years and +/-2.4 years).

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Year:  2007        PMID: 17680791     DOI: 10.1111/j.1556-4029.2007.00522.x

Source DB:  PubMed          Journal:  J Forensic Sci        ISSN: 0022-1198            Impact factor:   1.832


  4 in total

1.  Mandibular morphology as an indicator of human subadult age: geometric morphometric approaches.

Authors:  Daniel Franklin; Andrea Cardini; Paul O'Higgins; Charles E Oxnard; Ian Dadour
Journal:  Forensic Sci Med Pathol       Date:  2007-11-10       Impact factor: 2.007

2.  Mandibular ramus length as an indicator of chronological age and sex.

Authors:  Fernando Toledo de Oliveira; Mariana Quirino Silveira Soares; Viviane Almeida Sarmento; Cassia Maria Fischer Rubira; José Roberto Pereira Lauris; Izabel Regina Fischer Rubira-Bullen
Journal:  Int J Legal Med       Date:  2014-10-01       Impact factor: 2.686

3.  Pierre Robin sequence and Treacher Collins hypoplastic mandible comparison using three-dimensional morphometric analysis.

Authors:  Michael T Chung; Benjamin Levi; Jeong S Hyun; David D Lo; Daniel T Montoro; Jeffrey Lisiecki; James P Bradley; Steven R Buchman; Michael T Longaker; Derrick C Wan
Journal:  J Craniofac Surg       Date:  2012-11       Impact factor: 1.046

4.  Automated description of the mandible shape by deep learning.

Authors:  Nicolás Vila-Blanco; Paulina Varas-Quintana; Ángela Aneiros-Ardao; Inmaculada Tomás; María J Carreira
Journal:  Int J Comput Assist Radiol Surg       Date:  2021-08-27       Impact factor: 2.924

  4 in total

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