Literature DB >> 20381983

Age estimation using microfocus X-ray computed tomography of lower premolars.

H Aboshi1, T Takahashi, T Komuro.   

Abstract

The dental pulp, like other parts of the body, shows age-related changes. The aim of this study was to develop an age estimation method based on the ratio of the three-dimensional volume of the pulp chamber compared to the total tooth. Pulp chamber volumes were calculated using microfocus X-ray computed tomography (SMX-130CT, Shimadzu, Co., Kyoto, Japan) of the three-dimensional digital radiographic images of teeth. The specimens used in this study were 50 lower first and 50 lower second premolar teeth without caries or other abnormalities, obtained from patients in six 10-year age groups (age range 20-78 years). Each specimen was imaged by a micro-CT to reconstruct the three-dimensional structure. Using the reconstructed images, the tooth and pulp volumes at four levels (crown area (L(1)); coronal one third (L(2)); midroot (L(3)), and apical one third of the root (L(4))) were measured. Mean values of the pulp-tooth volume ratio (PTVR(1-4)) were compared between the six age groups and these values were used as the variables for the multiple regression analysis. The coronal one third of the root (L(2)) showed the greatest ratio values, followed by L(3), L(4) and L(1) in all age groups. Morphological changes of the pulp cavity in different age groups were observed. PTVR gradually reduced in value with increasing age, with the steepest reduction occurring in the 20-50 age range, and most noticeably at the L(2) level. The coefficients of determination by multiple regression analysis for four variables were 0.635 for lower first and 0.703 for lower second premolars. Among the variables used for estimating age by this method, only PTVR(2) showed a significant correlation at P<0.001. To determine the variables with the most significant contribution and to optimize the models, stepwise regression method was applied with inclusion level at P<0.05. Only the variable of PTVR(2) contributed significantly to the fit for lower first premolar whereas the two variables of PTVR(1) and PTVR(2) for lower second premolars. The coefficients of determination for the chosen variables were 0.625 for lower first and 0.698 for lower second premolars. Pulp-tooth volume ratio is an age-dependent variable that can be used to estimate age with reasonable accuracy. (c) 2010 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 20381983     DOI: 10.1016/j.forsciint.2010.03.024

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  14 in total

1.  A micro-computed tomography study of the root canal morphology of the mandibular first premolar in a population from southwestern China.

Authors:  Na Liu; Xiangjie Li; Ning Liu; Lijun Ye; Jianping An; Xin Nie; Luchuan Liu; Manjing Deng
Journal:  Clin Oral Investig       Date:  2012-07-10       Impact factor: 3.573

2.  Age estimation of fragmented human dental remains by secondary dentin virtual analysis.

Authors:  Itay Nudel; Ariel Pokhojaev; Bryan S Hausman; Yoli Bitterman; Nir Shpack; Hila May; Rachel Sarig
Journal:  Int J Legal Med       Date:  2020-07-08       Impact factor: 2.686

Review 3.  CT and MR imaging used in age estimation: a systematic review.

Authors:  M B Bjørk; S I Kvaal
Journal:  J Forensic Odontostomatol       Date:  2018-05-30

4.  Age estimation by quantitative features of pubic symphysis using multidetector computed tomography.

Authors:  Fumiko Chiba; Yohsuke Makino; Ayumi Motomura; Go Inokuchi; Suguru Torimitsu; Namiko Ishii; Yuko Kubo; Hiroko Abe; Ayaka Sakuma; Sayaka Nagasawa; Hisako Saitoh; Daisuke Yajima; Mutsumi Hayakawa; Miyuki Miura; Hirotaro Iwase
Journal:  Int J Legal Med       Date:  2014-05-02       Impact factor: 2.686

5.  Age estimation based on pelvic ossification using regression models from conventional radiography.

Authors:  Kui Zhang; Xiao-Ai Dong; Fei Fan; Zhen-Hua Deng
Journal:  Int J Legal Med       Date:  2016-05-12       Impact factor: 2.686

6.  Age estimation based on pulp cavity/chamber volume of 13 types of tooth from cone beam computed tomography images.

Authors:  Zhi-Pu Ge; Pan Yang; Gang Li; Ji-Zong Zhang; Xu-Chen Ma
Journal:  Int J Legal Med       Date:  2016-05-24       Impact factor: 2.686

7.  Dental age estimation based on pulp chamber/crown volume ratio measured on CBCT images in a Spanish population.

Authors:  Ana Molina; Manuel Bravo; Gabriel M Fonseca; Nicholas Márquez-Grant; Stella Martín-de-Las-Heras
Journal:  Int J Legal Med       Date:  2020-07-17       Impact factor: 2.686

8.  Age estimation based on 3D pulp chamber segmentation of first molars from cone-beam-computed tomography by integrated deep learning and level set.

Authors:  Qiang Zheng; Zhipu Ge; Han Du; Gang Li
Journal:  Int J Legal Med       Date:  2020-11-13       Impact factor: 2.686

9.  Age and sex estimation based on pulp cavity volume using cone beam computed tomography: development and validation of formulas in a Brazilian sample.

Authors:  Vanessa M Andrade; Rocharles C Fontenele; Andreia Cb de Souza; Casimiro Ap de Almeida; Andrea Cd Vieira; Francisco C Groppo; Deborah Q Freitas; Eduardo D Junior
Journal:  Dentomaxillofac Radiol       Date:  2019-08-01       Impact factor: 2.419

10.  Age estimation based on 3D post-mortem computed tomography images of mandible and femur using convolutional neural networks.

Authors:  Cuong Van Pham; Su-Jin Lee; So-Yeon Kim; Sookyoung Lee; Soo-Hyung Kim; Hyung-Seok Kim
Journal:  PLoS One       Date:  2021-05-12       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.