Purpose: This study was performed to develop a linear regression model using the pulp-to-tooth volume ratio (PTVR) ratio of the maxillary canine, assessed through cone-beam computed tomography (CBCT) images, to predict chronological age (CA) in Indonesian adults.

Materials And Methods: A sample of 99 maxillary canines was collected from patients between 20 and 49.99 years old. These samples were obtained from CBCT scans taken at the Universitas Padjadjaran Dental Hospital in Indonesia between 2018 and 2022. Pulp volume (PV) and tooth volume (TV) were measured using ITK-SNAP, while PTVR was calculated from the PV/TV ratio. Using RStudio, a linear regression was performed to predict CA using PTVR. Additionally, correlation and observer agreement were assessed.

Results: The PTVR method demonstrated excellent reproducibility, and a significant correlation was found between the PTVR of the maxillary canine and CA (=-0.74, <0.01). The linear regression analysis showed an of 0.58, a root mean square error of 5.85, and a mean absolute error of 4.31.

Conclusion: Linear regression using the PTVR can be effectively applied to predict CA in Indonesian adults between 20 and 49.99 years of age. As models of this type can be population-specific, recalibration for each population is encouraged. Additionally, future research should explore the use of other teeth, such as molars.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10548155PMC
http://dx.doi.org/10.5624/isd.20230104DOI Listing

Publication Analysis

Top Keywords

maxillary canine
12
pulp-to-tooth volume
8
volume ratio
8
cone-beam computed
8
computed tomography
8
linear regression
8
ptvr
5
dental age
4
age estimation
4
estimation indonesian
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!