Age estimation from computed tomography of cranial suture closure in a Thai population
Age estimation from human skeletal remains is an important step to reconstruct a biological profile. Cranial suture has long been studied for its age-related closure. However, until now, forensic anthropologists still attempt to investigate the best way of estimating age at death from cranial sut...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Pusat Perubatan Universiti Kebangsaan Malaysia
2020
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Online Access: | http://journalarticle.ukm.my/16287/1/24_ms0461_pdf_75409.pdf http://journalarticle.ukm.my/16287/ https://www.medicineandhealthukm.com/toc/15/2 |
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Summary: | Age estimation from human skeletal remains is an important step to reconstruct a
biological profile. Cranial suture has long been studied for its age-related closure.
However, until now, forensic anthropologists still attempt to investigate the best
way of estimating age at death from cranial suture closure because skull is usually
found at the crime scene due to its easy recognised-appearance and persistence
to post-mortem insults. For these reasons, a study of age estimation from cranial
suture closure in a Thai population was conducted, which focussed to study the
appearance and visibility of facial suture closure using computed tomography (CT).
CT image series of 140 cases were obtained in order to investigate ectocranial
closure of the selected facial sutures. The results from CT image analysis revealed
that nasomaxillary provided the most consistent examination of suture closure
(52%) while frontonasal delivered the lowest consistency in suture closure
examination (29%). The inconsistency mostly occurred in assigning the closure
score of 1 and 2. Thus, it could be suggested that a 3-scale scoring system of
closure: open, closing, and closed, could be an appropriate method of evaluating
degree of ectocranial closure of facial sutures obtained from CT imaging. This
fundamental information of facial suture closure from CT images could serve as a
starting point on development of age estimation technique from suture closure by
utilising CT images. |
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