Introduction: Age estimation has an important role in the process of human identification and needs to be performed in an efficient, fast, and accurate ways. Age estimation based on the pulp cavity volume of canines was referring to the theory stated that the apposition of secondary dentine during human life could be determined as an age indicator. This study was aimed to estimate the human age based on the pulp volume of canines for chronological estimation. Methods: Forty-one canine teeth from Cone Beam Computed Tomography (CBCT) 3D image sample from Dental Hospital of the Faculty of Dentistry Universitas Padjadjaran segmented into dental pulp and enamel were prepared for measurement of pulp volume using the ITK SNAP volumetric software. Descriptive analysis of pulp volume and regression equations were generated from regression analysis of pulp volume and tested for age estimation. Result: Dentine thickness was found to be increased from adolescence age range until adulthood age range. Logarithmic regression between pulp volume was statistically significant (p < 0,001). The coefficient of determination (R2) was 0.753 with a standard deviation of 8.421. Mathematics model for estimating age was: Age = 79.523 – (18.194 x ln(Pulp Volume)). The pulp cavity and dentine thickness were decreasing along the age. The same equation was also used in the same sample. There were several differences between chronological age and estimated age approximately 8.4 years following the regression result of R2 (75.3%). The rest of the sample (24.7%) have a big difference, and this could be affected by modifying variables such as occlusal force and human error measurement procedures. Conclusion: The human age can be estimated by the pulp volume of canines.Keywords: Age estimation, pulp volume, canine, ITK-SNAP, CBCT.
Abstrak. Dalam penyimpanan data objek gambar dalam database relational metodepenyimpanan dengan menggunakan teks address path data gambar yang disimpan dalamdatabase dan metode yang menggunakan tipe data blob. Metodologi penelitian yangdigunakan yaitu dengan membandingakan nilai rata-rata data load dari hasil pengujiansoftware uji dan dianalisis lebih lanjut dengan software staitstik (PSPP) sedangkan untuktahapan perancangan software uji menggunakan metode pengembangan perangkat lunakSDLC (System development Life Cycle) dengan model USDP (Unified SoftwareDevelopment Process). Software uji dikembangkan pada platform Linux denganmenggunakan IDE Gambas3 sebagai bahasa pemrogramannya. Hasil yang diperoleh daripenelitian ini membuktikan metode dengan menggunakan teks address path lebih baikdibandingkan dengan menggunakan blob dengan perbedaan rata-rata sebesar 0.12milidetik. Sedangakan metode dengan menggunakan tipe data blob merupakan solusi lainuntuk menyimpan data gambar dalam database secara kompleks.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.