The influence of the model superimposition method on the assessment of accuracy and predictability of setup models

The aim of this study was to evaluate the influence different superimposition methods on accuracy and predictability conventional virtual diagnostic setups. Ten finished cases were used make a setup setup. Second molars not moved in two situations allow reference for superimposition. Conventional setups superimposed compared by second molar registration whole surface best fit method (WSBF). posttreatment models with WSBF palatal rugae (PRBF). Anterior, intermediate, posterior regions dental arches compared. paired t-test compare mean differences between setups, both method, maxillary using PRBF methods. differed depending used. Superimposition presented no statistically significant differences. There model influenced assessment models. It is important establish stable structures