Browsing by Author "Pillay, Pamela"

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    The application of the Cameriere’s methodologies for dental age estimation in a select KwaZulu-Natal population of South Africa
    (MDPI, 2022) Ishwarkumar, Sundika; Pillay, Pamela; Chetty, Manogari
    The estimation of an individual’s age is a fundamental component of forensic odontology. Literary reports found that the efficiency of Cameriere methodology for age estimation varied among many population groups. Therefore, this study aimed to determine the applicability of the Cameriere methods to a select South African population of the KwaZulu-Natal (KZN) province.This cross-sectional retrospective study was conducted on 840 digital panoramic radiographs that met the inclusion criteria.
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    Employing the London Atlas in the age estimation of a select South African population
    (MDPI, 2022) Ishwarkumar, Sundika; Pillay, Pamela; Chetty, Manogari
    Dental age estimation in the living and deceased is a fundamental aspect of forensic sciences, civil cases, medico-legal proceedings and clinical dentistry. Accordingly, this study aimed to validate the accuracy and reproducibility of the London Atlas in a select South African sample of KwaZulu-Natal. In this cross-sectional study, 760 digital panoramic radiographs (n = 760) aged between 5.00 and 23.99 years were retrospectively reviewed through consecutive sampling. Each radiograph was assessed and assigned a dental age in accordance with the London Atlas of Human Tooth Development and Eruption by AlQahtani et al. (2010).
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    A morphometric assessment of developing permanent dentition for age and sex estimation in a select South African sample
    (Elsevier, 2022) Ishwarkumar, S; Pillay, Pamela; Chetty, Manogari
    Dentition plays a crucial role in the fields of forensic science, forensic odontology and anthropology for age and sex estimation. The aim of this study was to determine the degree of sexual dimorphism and age prediction capabilities of permanent dentition using morphometric analysis. Six hundred digital panoramic radiographs (n = 600), belonging to 300 South African Black and 300 South African Indian, aged between 5.00 and 19.99 years were retrospectively examined using a cross-sectional design. The Pearson Correlation Coefficient tests were conducted to determine if a correlation exist between age, sex and each morphometric parameter.