CT-based evaluation of the acetabulum for age estimation in an Indian population

Journal article


Warrier, V., Kanchan, T., Garg, P.K., Dixit, S.G., Krishan, K. and Shedge, R. 2021. CT-based evaluation of the acetabulum for age estimation in an Indian population. International Journal of Legal Medicine. 136 (3), pp. 785-795. https://doi.org/10.1007/s00414-021-02757-y
AuthorsWarrier, V., Kanchan, T., Garg, P.K., Dixit, S.G., Krishan, K. and Shedge, R.
Abstract

Age estimation constitutes an important aspect of forensic research, investigation and human identification. For the purpose of age estimation, various markers within the skeletal framework are employed. Degenerative morphological changes in the skeleton can be used for age estimation in adults. Amongst the various bones, age-progressive changes in the innominate bone are of particular significance in age estimation. Within the pelvis, the acetabulum presents as a durable and well-preserved evidence, characteristic manifestations of which can be employed for age estimation. The present study aimed at a CT-based evaluation of acetabular changes for the purpose of age estimation in an Indian population. CT images of 250 individuals aged 10-88 years were scrutinized according to the features defined in the Calce method of acetabular age estimation. Scores were allotted to the various features and a cumulative score was calculated. No significant bilateral and sex differences were observed. Significant correlation was obtained between the scores for these defined characteristics and the chronological age of individuals. Population-specific regression models were generated for age estimation. The scoring method devised in the present research requires further validation as it represents a new tool for age estimation in medico-legal cases.

KeywordsAcetabulum; Computed tomography; Forensic age estimation; Regression models
Year2021
JournalInternational Journal of Legal Medicine
Journal citation136 (3), pp. 785-795
PublisherSpringer
ISSN1437-1596
Digital Object Identifier (DOI)https://doi.org/10.1007/s00414-021-02757-y
Web address (URL)https://link.springer.com/article/10.1007/s00414-021-02757-y
Output statusPublished
Publication dates
Online10 Jan 2022
Publication process dates
Accepted28 Nov 2021
Deposited18 Mar 2024
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