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Dental Age Estimation by Assessing the Pulp Volume of Five Teeth in a Peruvian Population Using Cone Beam Computed Tomography Images

  • Juliana Magaly Salvatierra Gálvez(corresponding author)
    ,
  • Antonio Díaz-Suyo
    ,
  • Erika Ruth Alvarado Muñoz
    ,
  • Priyanka Kapoor
    ,
  • Aman Chowdhry
    ,
*Corresponding author for this work
Research Output:
Contribution to journal
Article
Peer-review

Open access

Publication Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 118-129 (12 pages)

Journal (Volume, Issue Number)

Odovtos - International Journal of Dental Sciences (Volume 25, Issue 3)

Publication milestones

  • Published - 31/08/2023

Publication status

Published - 31/08/2023

ISSN

1659-1046

Publication IDs

  • Scopus: 85170691702

Abstract

Dental age estimation is very important for individual identification in criminal and civil forensic investigations. One of the methods for age estimation is studying age related changes in pulp volume of teeth. The objective of the current study was to estimate dental age from the pulp volume of five different categories of teeth of a Peruvian sample using cone beam computed tomography (CBCT). Retrospective CBCT records of 231 patients [females (134), males (97), age: 12-60 years] were included in the study, categorized into five different age groups (12-19, 20-29, 30-39, 40-49, 50-59, 60 years and older). Dental pulp volume of five categories of teeth(upper canines, left upper central incisors, left upper first molars, lower left first premolars, first molars) were analyzed using Romexis® 5.3.3.5 software for each patient. There was a reduction in the pulp volume of upper right and left canine with age. The pulp volume was lowest in people aged 60 years and over. Linear regression analysis of the pulp volume and chronological age showed a coefficient of determination of 30%, suggesting a weak correlation. A weak correlation between dental pulp and age is derived. But, a robust large homogenous sample of teeth in future for different age groups may establish a reliable regression equation.

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