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Updated: Jan 20, 2026

Isolation and Expansion of Adult Canine Hippocampal Neural Precursors
Published on: November 29, 2016
Age estimation using canine pulp volumes in adults: a CBCT image analysis.
Shakeel Kazmi1, Scheila Mânica2, Gavin Revie2
1Dundee Dental School, University of Dundee, Park Place, Dundee, Scotland, DD1 4HN, UK. szkazmi@dundee.ac.uk.
Tooth pulp volume decreases with age, making it a potential age predictor. Mandibular canine pulp volume combined with sex offers the most accurate age estimation in Pakistani adults.
Area of Science:
- Forensic Odontology
- Anthropology
- Radiology
Background:
- Secondary dentine deposition reduces pulp cavity volume over time.
- Pulp cavity volume serves as a potential indicator for age estimation.
- Previous research indicates a correlation between dental age and chronological age.
Purpose of the Study:
- To determine the correlation strength between canine pulp volumes and chronological age.
- To evaluate the influence of sex as a predictor in age estimation.
- To analyze age-related changes in canine pulp volume within a Pakistani population.
Main Methods:
- Utilized cone beam computed tomography (CBCT) images from 719 Pakistani subjects (15-65 years).
- Measured pulp volumes of maxillary and mandibular canines using Planmeca Romexis® software.
- Performed regression analysis to assess the relationship between pulp volume, sex, and chronological age.
Main Results:
- Mandibular canine pulp volume and sex demonstrated the highest predictive power for age (R² = 0.33).
- A statistically significant difference in pulp volume was observed between males and females (p=0.000).
- The relationship between mandibular canine pulp volume, sex, and age exhibited a non-linear, S-shaped curve.
Conclusions:
- The pulp volume of the mandibular canine, in conjunction with sex, provides the most reliable estimation of chronological age.
- This method offers a valuable tool for age assessment in forensic and anthropological contexts.
- Sex is a significant factor influencing pulp volume and its predictive accuracy for age.
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