Dental age estimation in Indonesian adults: An investigation of the maxillary canine pulp-to-tooth volume ratio using cone-beam computed tomography

Khamila Gayatri Anjani, Rizky Merdietio Boedi, Belly Sam, Fahmi Oscandar (Lead / Corresponding author)

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Abstract

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 (r=-0.74, P<0.01). The linear regression analysis showed an R2 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.

Original languageEnglish
Pages (from-to)221-228
Number of pages8
JournalImaging Science in Dentistry
Volume53
Issue number3
Early online date2 Aug 2023
DOIs
Publication statusPublished - Sept 2023

Keywords

  • Age Determination by Teeth
  • Cone-Beam Computed Tomography
  • Forensic Dentistry
  • Radiography, Dental
  • Indonesia
  • Radiography
  • Dental

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • General Dentistry
  • Radiology Nuclear Medicine and imaging

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