University of Dundee
Exploring the relationship between canines, sex and age: A CBCT analysis
Abstract
dc:description.abstractRadiographic methods using PV and PTVR are important for dental age estimation. According to previous studies, these two markers possess different relationships with age in different sexes but none of the studies have used a homogenous (approximately equal numbers of individuals in each age range) age distribution to assess this relationship and the effect of sex as predictor on age estimation.<br/><br/>This study was performed on 719 subjects of Pakistani origin (368 females and 349 males) aged from 15-65 years. Cone beam computed tomography images of 521 left maxillary and 681 left mandibular canines were collected. Planmeca Romexis® software was used to trace the outline of the pulp cavity and tooth and to calculate respective volumes. Subsequently, Microsoft® Office Excel 2016 was used to calculate the ratios.<br/><br/>Regression analysis was performed to assess the correlation between PV and PTVR factoring sex in as a predictor for age estimation. The obtained results showed that mandibular canine PV (R2 =0.33) and maxillary PTVR (R2 =0.46) with sex have the highest predictive power. The relationship between mandibular canine PV and maxillary PTVR with sex against chronological age demonstrates an odd S-shaped non-linear relationship.<br/><br/>The conclusion is that using predictors such as the PV and PTVR with sex produced the best estimates of chronological age.
Degree
thesis:*- Name dc:type.qualificationname
- Doctor of Philosophy
- Level dc:type.qualificationlevel
- Doctoral Thesis
- Grantor dc:publisher.institution
- University of Dundee
- Year dc:date.issued
- 2020
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Kazmi, Shakeel Abbas
- Advisors dc:contributor.advisor
-
- Manica, Scheila
- Shepherd, Simon
- Hector, Mark
Rights
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
- oai:discovery.dundee.ac.uk:studenttheses/97ef75dd-8a14-409b-8269-8e2c247616ed
- OAI identifier oai:identifier
- oai:discovery.dundee.ac.uk:studenttheses/97ef75dd-8a14-409b-8269-8e2c247616ed