2 research outputs found
Age estimation in children by measurement of open apices in teeth: an Indian formula.
The aim of this paper is twofold: first, to evaluate
an Indian sample by Cameriere\u2019s European formula; and
second, if this formula turns out to be unsuitable, to study a
specific formula for Indian children. Orthopantomographs
taken from 480 Indian children (227 girls and 253 boys) aged
between 3 and 15 years were analyzed. Following the pilot
study, subjects\u2019 age was modeled as a function of gender (g),
region of country (C), and morphological variables (predictors:
x5, the distance between the inner sides of the open
apex of the second premolar divided by the tooth length;
s \ubc x1 \ufe x2 \ufe x3 \ufe x4 \ufe x5 \ufe x6 \ufe x7, sum of normalized
open apices; N0, the number of teeth with root development
complete. Results showed that all these variables except
gender and second premolar contributed significantly to the
fit so that all were included in the regression model, yielding
the following linear regression formula:
Age \ubc 9:402 0:879 C \ufe 0:663 N0 0:711 s 0:106s N0
where C is a dummy variable equal to 0 for the center or
north of India and 1 for the south. The above equation, with
the variables considered, explained 89.7% (R2=0.897) of
total deviance. The median of the residuals (observed age
minus predicted age) was \u20130.063 years, with an interquartile
range of 1.10 years