Development of craniometry-based predictive model to determine occlusal vertical dimension by using the eye-ear distance in a French population.

Statement Of Problem: Techniques for determining occlusal vertical dimension (OVD) have limitations, including the lack of reproducibility or invasiveness. Recently, a craniometry-based predictive model comparing OVD with eye-ear distance (EED) was developed in Chile. However, this study included a specific population and excluded patients with a history of orthodontics.

A craniometry-based predictive model to determine occlusal vertical dimension.

Statement Of Problem: Craniometry is a method of determining the occlusal vertical dimension (OVD); the current prediction models do not consider factors such as facial type and sex or normalizing the OVD by using 1 main variable.

Purpose: The purpose of this clinical study was to determine whether sex, facial type, and age can influence the creation of a predictive model by using the right or left eye-to-ear distance to determine the OVD in dentate and edentate individuals.

Material And Methods: Healthy individuals (N=385) (238 women, 147 men) aged between 18 and 50 years were classified according to sex, age, and facial type.