Dental age estimation using the Kvaal et al. (1995) method as applied to a Western Australian population

Saurabh Rai

    Research output: ThesisMaster's Thesis

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    [Truncated abstract] Age estimation by dental means is one of the most reliable methods as the teeth are preserved in most of the cases where the skeletal remains are considered unfit for estimating age like in cases of burning and long time exposure to the environment. While the age for sub-adults can be estimated from the developing dentition as the development of the human dentition follows a fixed pattern which is genetically influenced, the age estimation for adults poses a few challenges as the dental development has completed and various detrimental factors like attrition, erosion have to be taken into consideration. Kvaal et al. (1995) published a method of estimating age from the adult dentition based on the amount of secondary dentin deposited, the quantity of which was observed and measured from dental radiographs. The aim of this study was to determine the accuracy of the Kvaal et al. (1995) age estimation standards when applied to a Western Australian population. The measurements obtained in this study were used to develop Western Australian population specific standards and the accuracy of these was compared with the original Kvaal et al. regression standards. This study also aimed to determine if statistically significant differences existed when the Kvaal et al. (1995) standards were applied to males and females in the sample. Also, the sample was divided into age groups and the accuracy of these standards with different age groups was determined. The sample for the study comprised of anonymised orthopantomograms (OPG’s) from 97 Western Australian individuals aged 16 to 73 years with a mean age of 29.75 years. The sample comprised of 59 males and 38 females. OPG’s of each individual were evaluated and the age was estimated by applying the age estimation standards of Kvaal et al. (1995). Based on the measurements done for the analysis, population specific regression standards were calculated using the SPSS statistical software and their
    Original languageEnglish
    Publication statusUnpublished - 2009


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