Abstract

Background

Virtual anthropology in estimating stature through multislice computed tomography scanning is important for forensic cases and mass disasters. Regression formulae generated directly from other post-cranial skeleton parts can be applied for estimating stature. Literatures have revealed that scoring of pelvic shape in both sexes is significantly correlated with stature. Hereafter, this study aims to correlate the pelvic and sacral morphometric with stature based on sex and ancestry among the Malaysian population from the selected samples of 373 CT images at Kuala Lumpur Hospital. The three-dimensional pelvic girdles were first segmented from CT images through Mimics Research 17.0 software. Inter-landmark distances were measured with Microsoft 3D Builder and their respective indexes were computed.

Results

This study showed that the auricular lengths, ilium dimension and acetabulum were the most useful stature estimator at R > 0.5. The combination of pelvic parameters, sacral parameters and indexes had contributed to a higher R2 value of the regression models.

Conclusions

Pelvic morphometric was generally a better stature estimator compared to sacral morphometric. The population-specific formula produced from this study should only be realistic within the Malaysian population. This helps to enhance the existing references for stature estimation especially when incomplete human remains are discovered.

Details

Title
Stature estimation study based on pelvic and sacral morphometric among Malaysian population
Author
Lai, Poh Soon 1   VIAFID ORCID Logo  ; Mohamad Noor Mohamad Helmee 2 ; Nurliza, Abdullah 1 

 Kuala Lumpur Hospital, Institute of Forensic Medicine Malaysia, Kuala Lumpur, Malaysia (GRID:grid.412516.5) (ISNI:0000 0004 0621 7139) 
 Kuala Lumpur Hospital, Radiology Department, Kuala Lumpur, Malaysia (GRID:grid.412516.5) (ISNI:0000 0004 0621 7139) 
Publication year
2021
Publication date
Dec 2021
Publisher
Springer Nature B.V.
e-ISSN
2522-8307
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2559540930
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.