Literature DB >> 20022437

The application of computerized tomography (CT) to the dental ageing of children and adolescents.

J P Graham1, C J O'Donnell, P J G Craig, G L Walker, A J Hill, G N Cirillo, R M Clark, S R Gledhill, M E Schneider-Kolsky.   

Abstract

INTRODUCTION: Following a mass disaster, the aim of the Disaster Victim Identification process is to establish the identity of the victims. The ageing screening process on victims in Victoria may now be complemented with the use of computerized tomography (CT), where previously any dental ageing analysis was performed using conventional radiographs. The aim of this study was to assess the accuracy of age estimation using the dental ageing method proposed by Moorrees, Fanning and Hunt (MFH) using CT images. Intra- and inter-rater variability between two raters, one experienced and one inexperienced, was also assessed.
MATERIALS AND METHODS: The two raters were blinded to the ages of 96 deceased Australian children aged up to 15 years. Using three-dimensional (3D) shaded surface displays (SSD) and reformatted CT images, the age was first estimated based on prior experience alone, followed at a later date by the age estimation utilizing the MFH method. These estimates were then compared to the known chronological age. The results were statistically analyzed in a one-sample t-test, using the mean log-ratio of the estimated age to the chronological age.
RESULTS: Our findings show that the experienced rater was more accurate in age estimation than the less experienced when using prior experience (p<0.0001). The use of reformatted CT images to perform an ageing estimate using the MFH method was found to systematically underestimate the chronological age by 10% by both raters (p=0.784). There was no significant difference between the two raters. Intra-rater reliability was high (p=0.135).
CONCLUSIONS: CT can provide accurate estimates of dental ages. Prior experience with dental ageing and/or CT improves the accuracy. However, with the use of validated ageing charts, inexperienced raters can also achieve accurate age estimates using CT images. 2009 Elsevier Ireland Ltd. All rights reserved.

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Year:  2009        PMID: 20022437     DOI: 10.1016/j.forsciint.2009.11.011

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  6 in total

1.  Age estimation based on a combined arteriosclerotic index.

Authors:  Lukas Horny; Tomas Adamek; Hynek Chlup; Rudolf Zitny
Journal:  Int J Legal Med       Date:  2011-12-13       Impact factor: 2.686

2.  The incidence of asymmetrical left/right skeletal and dental development in an Australian population and the effect of this on forensic age estimations.

Authors:  Richard B Bassed; Christopher Briggs; Olaf H Drummer
Journal:  Int J Legal Med       Date:  2011-09-23       Impact factor: 2.686

3.  Advances in forensic age estimation.

Authors:  Richard B Bassed
Journal:  Forensic Sci Med Pathol       Date:  2012-06       Impact factor: 2.007

4.  Post-mortem computed tomography as part of dental identification - a proposed guideline.

Authors:  Niels Dyrgaard Jensen; Sara Arge; Nikolaj Friis Hansen; Niels Lynnerup
Journal:  Forensic Sci Med Pathol       Date:  2019-07-30       Impact factor: 2.007

Review 5.  CT and MR imaging used in age estimation: a systematic review.

Authors:  M B Bjørk; S I Kvaal
Journal:  J Forensic Odontostomatol       Date:  2018-05-30

6.  Dental age estimation using the pulp-to-tooth ratio in canines by neural networks.

Authors:  Maryam Farhadian; Fatemeh Salemi; Samira Saati; Nika Nafisi
Journal:  Imaging Sci Dent       Date:  2019-03-25
  6 in total

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