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Updated: Sep 13, 2025

A Finite Element Approach for Locating the Center of Resistance of Maxillary Teeth

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Age estimation based on pulp/tooth volume ratio using CBCT: a study on mandibular canines.

İbrahim Burak Yüksel¹, Ali Altındağ²

¹Faculty of Dentistry, Department of Oral and Maxillofacial Radiology, Necmettin Erbakan University, Konya, 42090, Turkey.

BMC Oral Health

|July 27, 2025

Summary

Dental age estimation using the pulp/tooth volume ratio (PV/TV) from cone-beam computed tomography (CBCT) scans shows a strong negative correlation with chronological age. This method offers a moderately reliable tool for age prediction in forensic and anthropological applications.

Keywords:

Age determination CBCT Dental forensics Pulp volume Tooth volume

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Area of Science:

Forensic Anthropology
Radiology
Dental Age Estimation

Background:

Estimating chronological age is crucial in forensic and anthropological contexts.
The pulp/tooth volume ratio (PV/TV) is a potential indicator of aging.
Cone-beam computed tomography (CBCT) provides detailed 3D imaging of dental structures.

Purpose of the Study:

To estimate chronological age using the PV/TV ratio in mandibular canine teeth.
To assess the correlation between PV/TV ratio and chronological age.
To evaluate the reliability of CBCT-based PV/TV ratio for age estimation.

Main Methods:

Retrospective analysis of 240 CBCT scans from individuals aged 17-72 years.
Measurement of pulp and tooth volumes using 3D Slicer software.
Calculation of PV/TV ratio and assessment of correlation with age using Pearson's correlation and linear regression.

Main Results:

A strong negative correlation (r = -0.710, p < 0.001) was found between PV/TV ratio and age.
Regression models achieved R² values of 0.549 (males), 0.455 (females), and 0.504 (total sample).
The model demonstrated a prediction error of ±3.69 years (60% CI) and ±7.24 years (95% CI).

Conclusions:

The PV/TV ratio derived from CBCT images is a moderately reliable predictor for dental age estimation.
The developed regression model offers an acceptable margin of error for age prediction.
This method is particularly applicable in forensic and anthropological investigations.