Estimation of Distances within Real and Virtual Dental Models as a Function of Task Complexity

Area of Science:

• Orthodontics
• Dental Modeling
• Digital Imaging

Background:

• Orthodontic practices have transitioned from using physical plaster models to digital virtual models for distance estimation.
• Previous studies acknowledge acceptable clinical error margins in distance estimation on real dental models.

Purpose of the Study:

• To investigate the accuracy of distance estimation on virtual dental models compared to real models.
• To assess the impact of model type (real vs. virtual) and complexity on estimation accuracy and mental load.

Main Methods:

• Fifty orthodontists estimated three types of distances (mandibular crowding, inter-canine, inter-molar) on six dental models (three real, three virtual).
• Models varied in complexity (easy, medium, difficult).
• Mental load and estimation errors were recorded.

Main Results:

• Overall, distances were overestimated on both real and virtual models.
• Distance overestimation was significantly greater on virtual models compared to real models.
• Practitioners reported higher mental load when estimating on virtual models.
• Increased model complexity led to a decrease in estimation errors for both real and virtual models.

Conclusions:

• Virtual dental models may introduce greater distance estimation errors than traditional real models.
• The increased complexity of dental models, whether real or virtual, may enhance estimation accuracy due to heightened clinical relevance.
• Further research is needed to optimize virtual model accuracy and reduce practitioner mental load in digital orthodontics.