Literature DB >> 32638082

Age estimation of fragmented human dental remains by secondary dentin virtual analysis.

Itay Nudel1,2, Ariel Pokhojaev1,3, Bryan S Hausman4, Yoli Bitterman1,2, Nir Shpack2, Hila May3,5, Rachel Sarig6,7,8.   

Abstract

Unlike bones, teeth are remarkably resilient and can withstand severe trauma, making age assessment based on the dentition essential for forensic analysis. Modern techniques for age estimation focus on pulp-chamber volume measurements using radiographs and computerized tomography (CT); however, these are applicable only for complete teeth (i.e., with intact crown and root). In the current study, we developed a new approach using high-resolution micro-computerized tomography (μCT) to visualize the secondary dentin (SD), an inner layer surrounding the pulp which accumulates with age, thus facilitating age estimation of fragmented and broken teeth.The growth pattern of the SD with age was analyzed for 77 lower premolars from two anthropological collections. A comparison of SD virtual segmentation and histological measurement was highly correlative (ICC = 0.95). SD was measured per volume (mm3) of a 1 mm thick slice directly below the cemento-enamel junction. Regression analysis using SD measurements increased the success rates of age estimation (82%) compared with the "gold-standard" pulp/dentin method (54%) in the range of ± 10 years. The accuracy of age estimation based on SD analysis was improved to a range of 7-8 years.The SD method thus allows age estimation with greater prediction rates and better accuracy based on only a small fragment of a tooth in a non-invasive manner. This novel methodology is easy to use, accessible, and bears implications in various fields such as forensic sciences and anthropological research.

Entities:  

Keywords:  Age estimation; Dentin virtual analysis; Forensic dentistry; Secondary dentin

Mesh:

Year:  2020        PMID: 32638082     DOI: 10.1007/s00414-020-02366-1

Source DB:  PubMed          Journal:  Int J Legal Med        ISSN: 0937-9827            Impact factor:   2.686


  16 in total

1.  Three-dimensional observation of pulp cavities in the maxillary first premolar tooth using micro-CT.

Authors:  T Oi; H Saka; Y Ide
Journal:  Int Endod J       Date:  2004-01       Impact factor: 5.264

2.  Amount of secondary dentin as an indicator of age.

Authors:  T Solheim
Journal:  Scand J Dent Res       Date:  1992-08

Review 3.  Odontoblasts: the cells forming and maintaining dentine.

Authors:  Victor E Arana-Chavez; Luciana F Massa
Journal:  Int J Biochem Cell Biol       Date:  2004-08       Impact factor: 5.085

4.  Application of the method of Kvaal et al. to digital orthopantomograms.

Authors:  M I Landa; P M Garamendi; M C Botella; I Alemán
Journal:  Int J Legal Med       Date:  2008-07-29       Impact factor: 2.686

5.  Technical Note: Guidelines for the digital computation of 2D and 3D enamel thickness in hominoid teeth.

Authors:  Stefano Benazzi; Daniele Panetta; Cinzia Fornai; Michel Toussaint; Giorgio Gruppioni; Jean-Jacques Hublin
Journal:  Am J Phys Anthropol       Date:  2013-11-18       Impact factor: 2.868

Review 6.  Progressive changes in the pulpo-dentinal complex and their clinical consequences.

Authors:  F M Burke; D Y Samarawickrama
Journal:  Gerodontology       Date:  1995-12       Impact factor: 2.980

Review 7.  Age estimation in adults by dental imaging assessment systematic review.

Authors:  T Y Marroquin; S Karkhanis; S I Kvaal; S Vasudavan; E Kruger; M Tennant
Journal:  Forensic Sci Int       Date:  2017-03-27       Impact factor: 2.395

8.  Age estimation based on pulp cavity/chamber volume of 13 types of tooth from cone beam computed tomography images.

Authors:  Zhi-Pu Ge; Pan Yang; Gang Li; Ji-Zong Zhang; Xu-Chen Ma
Journal:  Int J Legal Med       Date:  2016-05-24       Impact factor: 2.686

9.  Age factor in secondary dentin formation.

Authors:  G G Philippas; E Applebaum
Journal:  J Dent Res       Date:  1966 May-Jun       Impact factor: 6.116

10.  Age estimation of adults from dental radiographs.

Authors:  S I Kvaal; K M Kolltveit; I O Thomsen; T Solheim
Journal:  Forensic Sci Int       Date:  1995-07-28       Impact factor: 2.395

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  2 in total

1.  Age estimation based on 3D pulp chamber segmentation of first molars from cone-beam-computed tomography by integrated deep learning and level set.

Authors:  Qiang Zheng; Zhipu Ge; Han Du; Gang Li
Journal:  Int J Legal Med       Date:  2020-11-13       Impact factor: 2.686

2.  Age-dependent decrease in dental pulp cavity volume as a feature for age assessment: a comparative in vitro study using 9.4-T UTE-MRI and CBCT 3D imaging.

Authors:  Maximilian Timme; Jens Borkert; Nina Nagelmann; Adam Streeter; André Karch; Andreas Schmeling
Journal:  Int J Legal Med       Date:  2021-04-26       Impact factor: 2.686

  2 in total

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