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

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 9...

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Autores principales: Anjani, Khamila Gayatri, Merdietio Boedi, Rizky, Sam, Belly, Oscandar, Fahmi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Academy of Oral and Maxillofacial Radiology 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10548155/
https://www.ncbi.nlm.nih.gov/pubmed/37799738
http://dx.doi.org/10.5624/isd.20230104
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author Anjani, Khamila Gayatri
Merdietio Boedi, Rizky
Sam, Belly
Oscandar, Fahmi
author_facet Anjani, Khamila Gayatri
Merdietio Boedi, Rizky
Sam, Belly
Oscandar, Fahmi
author_sort Anjani, Khamila Gayatri
collection PubMed
description 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 R(2) 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.
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spelling pubmed-105481552023-10-05 Dental age estimation in Indonesian adults: An investigation of the maxillary canine pulp-to-tooth volume ratio using cone-beam computed tomography Anjani, Khamila Gayatri Merdietio Boedi, Rizky Sam, Belly Oscandar, Fahmi Imaging Sci Dent Original Article 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 R(2) 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. Korean Academy of Oral and Maxillofacial Radiology 2023-09 2023-08-02 /pmc/articles/PMC10548155/ /pubmed/37799738 http://dx.doi.org/10.5624/isd.20230104 Text en Copyright © 2023 by Korean Academy of Oral and Maxillofacial Radiology https://creativecommons.org/licenses/by-nc/3.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0 (https://creativecommons.org/licenses/by-nc/3.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Anjani, Khamila Gayatri
Merdietio Boedi, Rizky
Sam, Belly
Oscandar, Fahmi
Dental age estimation in Indonesian adults: An investigation of the maxillary canine pulp-to-tooth volume ratio using cone-beam computed tomography
title Dental age estimation in Indonesian adults: An investigation of the maxillary canine pulp-to-tooth volume ratio using cone-beam computed tomography
title_full Dental age estimation in Indonesian adults: An investigation of the maxillary canine pulp-to-tooth volume ratio using cone-beam computed tomography
title_fullStr Dental age estimation in Indonesian adults: An investigation of the maxillary canine pulp-to-tooth volume ratio using cone-beam computed tomography
title_full_unstemmed Dental age estimation in Indonesian adults: An investigation of the maxillary canine pulp-to-tooth volume ratio using cone-beam computed tomography
title_short Dental age estimation in Indonesian adults: An investigation of the maxillary canine pulp-to-tooth volume ratio using cone-beam computed tomography
title_sort dental age estimation in indonesian adults: an investigation of the maxillary canine pulp-to-tooth volume ratio using cone-beam computed tomography
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10548155/
https://www.ncbi.nlm.nih.gov/pubmed/37799738
http://dx.doi.org/10.5624/isd.20230104
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