Third molar development by measurements of open apices in an Italian sample of living subjects

被引:14
作者
De Luca, Stefano [1 ,2 ]
Pacifici, Andrea [2 ,3 ]
Pacifici, Luciano [2 ,3 ]
Polimeni, Antonella [3 ]
Fischetto, Sara Giulia [3 ]
Palacio, Luz Andrea Velandia [2 ]
Vanin, Stefano [4 ]
Cameriere, Roberto [2 ]
机构
[1] Univ Tarapaca, Fac Ciencias Sociales & Jurid, Dept Antropol, Arica, Chile
[2] Univ Macerata, Inst Legal Med, AgEstimat Project, Macerata, Italy
[3] Univ Roma La Sapienza, Dept Oral & Maxillofacial Sci, Rome, Italy
[4] Univ Huddersfield, Sch Appl Sci, Huddersfield HD1 3DH, W Yorkshire, England
关键词
Forensic sciences; Age estimation; Dental development; Third molar index; Italy; DENTAL AGE ESTIMATION; CHRONOLOGICAL AGE; FLUCTUATING ASYMMETRY; ROOT DEVELOPMENT; POPULATION; CHILDREN; MINERALIZATION; ACCURACY; TEETH; RELIABILITY;
D O I
10.1016/j.jflm.2015.11.007
中图分类号
DF [法律]; D9 [法律]; R [医药、卫生];
学科分类号
0301 ; 10 ;
摘要
The aim of this study is to analyse the age-predicting performance of third molar index (I-3M) in dental age estimation. A multiple regression analysis was developed with chronological age as the independent variable. In order to investigate the relationship between the I-3M and chronological age, the standard deviation and relative error were examined. Digitalized orthopantomographs (OPTs) of 975 Italian healthy subjects (531 female and 444 male), aged between 9 and 22 years, were studied. Third molar development was determined according to Cameriere et al. (2008). Analysis of covariance (ANCOVA) was applied to study the interaction between I-3M and the gender. The difference between age and third molar index (I-3M) was tested with Pearson's correlation coefficient. The I-3M, the age and the gender of the subjects were used as predictive variable for age estimation. The small F-value for the gender (F = 0.042, p = 0.837) reveals that this factor does not affect the growth of the third molar. Adjusted R-2 (AdjR(2)) was used as parameter to define the best fitting function. All the regression models (linear, exponential, and polynomial) showed a similar AdjR(2). The polynomial (2nd order) fitting explains about the 78% of the total variance and do not add any relevant clinical information to the age estimation process from the third molar. The standard deviation and relative error increase with the age. The I-3M has its minimum in the younger group of studied individuals and its maximum in the oldest ones, indicating that its precision and reliability decrease with the age. (C) 2015 Elsevier Ltd and Faculty of Forensic and Legal Medicine. All rights reserved.
引用
收藏
页码:36 / 42
页数:7
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