Objective:

To evaluate the precision of the estimation of sex and age using the morphometry of the mandibular ramus through a multiple linear regression model including the intercondylar width, the bigonial width, the coronoid length, the length of the mandibular ramus, the length of the condyle, the maximum width of the mandibular ramus and the gonial angle in a Peruvian adult population 2014-2019.

Material and methods:

174 computed tomography scans from 18 to 60 years of age were used and the variables intercondylar width (AI), bigonial width (AB), coronoid length (CLr), condyle length (LC), ramus length mandibular ramus (MRm), maximum width of the mandibular ramus (MRAm) and gonial angle (AG) of the right side of the mandible.

Results:

The independent samples t-test determined that the greatest difference between the sexes was in the LC variable with 6.9225 mm, the discriminant function obtained a correct classification rate of the sex with 82.7% and with the multiple logistic regression model a sensitivity in the female sex of 81.2%, a specificity of 85.7%, the male sex a sensitivity of 85.7%, a specificity of 81.2%, in age the highest correlation was in AG with -0.252.

Discussion:

The most powerful coefficients were in LRm, AI and AB with 0.608, 0.606 and 0.604 respectively. The greatest difference was found in the intercondylar width with 9.3 mm between the sexes, in general the percentage of predictive accuracy was 83.9% in an Egyptian population very similar to this study.

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