Applicability of the Calce method for age estimation in an Indian population: A clinical CT-based study

Journal article

Warrier, V., Shedge, R., Kumar Garg, P., Dixit, S. G., Krishan, K. and Kanchan, T. 2022. Applicability of the Calce method for age estimation in an Indian population: A clinical CT-based study. Legal Medicine. 59, pp. 1-6. https://doi.org/10.1016/j.legalmed.2022.102113
AuthorsWarrier, V., Shedge, R., Kumar Garg, P., Dixit, S. G., Krishan, K. and Kanchan, T.
Abstract

Age estimation is one of the prerequisites of human identification. Age-progressive changes in the pelvis offer useful evidence for forensic age estimation across all age groups. The acetabulum presents as a durable and taphonomic degradation resistant age marker, and, can be employed for analysing age-progressive changes described by Calce. The present study aimed at determining the applicability of the Calce method for age estimation in an Indian population based on a computed tomographic examination of the acetabulum. Additionally, different morphological features defined by Calce were evaluated to identify the feature which contributes most towards the process of age estimation. CT images obtained from clinically undertaken examinations of individuals aged 17 years and above were scrutinized according to the features defined within the Calce method. No statistically significant bilateral or sex differences were observed. An overall accuracy of 76.66% was observed on applying the Calce method to an Indian population, with lower accuracy percentages for individuals aged 40 years and above. The associated overall inaccuracy and bias were found to be 9.45 and 8.88 years, respectively. Within the various features, acetabular groove was found to contribute most towards the overall accuracy, and apex growth the least. Considering this weighted proportion, population specific models should be derived to render greater applicability to the method for age estimation.

KeywordsAcetabulum; Age estimation; Calce method; Computed tomography; Forensic anthropology; Human identification
Year2022
JournalLegal Medicine
Journal citation59, pp. 1-6
PublisherElsevier
ISSN1873-4162
Digital Object Identifier (DOI)https://doi.org/10.1016/j.legalmed.2022.102113
Web address (URL)https://doi.org/10.1016/j.legalmed.2022.102113
Output statusPublished
Publication dates
Online02 Jul 2022
Publication process dates
Accepted01 Jul 2022
Deposited11 Jul 2024
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