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

Stefano De Luca, Andrea Pacifici, Luciano Pacifici, Antonella Polimeni, Sara Giulia Fischetto, Luz Andrea Velandia Palacio, Stefano Vanin, Roberto Cameriere

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

The aim of this study is to analyse the age-predicting performance of third molar index (I3M) 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 I3M 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 I3M and the gender. The difference between age and third molar index (I3M) was tested with Pearson's correlation coefficient. The I3M, 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 R2 (AdjR2) was used as parameter to define the best fitting function. All the regression models (linear, exponential, and polynomial) showed a similar AdjR2. 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 I3M 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.

Original languageEnglish
Pages (from-to)36-42
Number of pages7
JournalJournal of Forensic and Legal Medicine
Volume38
Early online date30 Nov 2015
DOIs
Publication statusPublished - 1 Feb 2016

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Third Molar
Linear Models
Statistical Models
gender
Healthy Volunteers
Tooth
Regression Analysis
age difference
linear model
Growth
regression analysis
regression

Cite this

De Luca, S., Pacifici, A., Pacifici, L., Polimeni, A., Fischetto, S. G., Velandia Palacio, L. A., ... Cameriere, R. (2016). Third molar development by measurements of open apices in an Italian sample of living subjects. Journal of Forensic and Legal Medicine, 38, 36-42. https://doi.org/10.1016/j.jflm.2015.11.007
De Luca, Stefano ; Pacifici, Andrea ; Pacifici, Luciano ; Polimeni, Antonella ; Fischetto, Sara Giulia ; Velandia Palacio, Luz Andrea ; Vanin, Stefano ; Cameriere, Roberto. / Third molar development by measurements of open apices in an Italian sample of living subjects. In: Journal of Forensic and Legal Medicine. 2016 ; Vol. 38. pp. 36-42.
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De Luca, S, Pacifici, A, Pacifici, L, Polimeni, A, Fischetto, SG, Velandia Palacio, LA, Vanin, S & Cameriere, R 2016, 'Third molar development by measurements of open apices in an Italian sample of living subjects', Journal of Forensic and Legal Medicine, vol. 38, pp. 36-42. https://doi.org/10.1016/j.jflm.2015.11.007

Third molar development by measurements of open apices in an Italian sample of living subjects. / De Luca, Stefano; Pacifici, Andrea; Pacifici, Luciano; Polimeni, Antonella; Fischetto, Sara Giulia; Velandia Palacio, Luz Andrea; Vanin, Stefano; Cameriere, Roberto.

In: Journal of Forensic and Legal Medicine, Vol. 38, 01.02.2016, p. 36-42.

Research output: Contribution to journalArticle

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T1 - Third molar development by measurements of open apices in an Italian sample of living subjects

AU - De Luca, Stefano

AU - Pacifici, Andrea

AU - Pacifici, Luciano

AU - Polimeni, Antonella

AU - Fischetto, Sara Giulia

AU - Velandia Palacio, Luz Andrea

AU - Vanin, Stefano

AU - Cameriere, Roberto

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N2 - The aim of this study is to analyse the age-predicting performance of third molar index (I3M) 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 I3M 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 I3M and the gender. The difference between age and third molar index (I3M) was tested with Pearson's correlation coefficient. The I3M, 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 R2 (AdjR2) was used as parameter to define the best fitting function. All the regression models (linear, exponential, and polynomial) showed a similar AdjR2. 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 I3M 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.

AB - The aim of this study is to analyse the age-predicting performance of third molar index (I3M) 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 I3M 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 I3M and the gender. The difference between age and third molar index (I3M) was tested with Pearson's correlation coefficient. The I3M, 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 R2 (AdjR2) was used as parameter to define the best fitting function. All the regression models (linear, exponential, and polynomial) showed a similar AdjR2. 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 I3M 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.

KW - Age estimation

KW - Dental development

KW - Forensic sciences

KW - Italy

KW - Third molar index

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