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Advisory Committee Chair

Christos Vlachos

Advisory Committee Members

Nada Souccar

Nathaniel Lawson

William Bates

Document Type

Thesis

Date of Award

1-1-2025

Degree Name by School

Master of Science in Dentistry (MScD) School of Dentistry

Abstract

Objective: Treatment planning and appliance fabrication depend on the accurate representation of dentition. Research on the accuracy of digital light processing (DLP) printed models with different base designs across various levels of dental crowding remains limited. This study aims to evaluate the fidelity of DLP printed models and the suitability of different base designs for representing dentition with mild, moderate, and severe crowding. Materials and Methods: The objective is to determine the optimal base designs for DLP-printed models to address varying degrees of dental crowding. A two-way ANOVA was used to compare root mean square (RMS) error across different base designs and levels of crowding. The null hypothesis proposed no significant differences in accuracy across different base designs and levels of crowding. Results: The results of the two-way ANOVA showed no significant differences in accuracy across different levels of crowding. There are statistically significant differences between the horseshoe base and both the posterior bar and ABO base designs. Furthermore, analysis of the interaction between base design and varying levels of crowding revealed a significant difference in cases of severe crowding. The horseshoe design performs poorly compared to both the posterior bar and ABO base. These findings suggest that base design is a critical factor in cases of severe crowding. iii By identifying the most suitable base designs for accurately representing crowded dentition, the research supports improved precision in 3D-printed dental models. It is important to note, however, that while statistical analysis revealed significant differences, a few micrometers of inaccuracy may not result in clinically significant discrepancies when fabricating orthodontics appliances. Minor deviations in the printed model dimensions are often within an acceptable range for clinical use and may not impact the overall efficacy of orthodontic treatment outcomes. Conclusions: In conclusion, DLP-printed models with ABO or posterior bar base designs showed superior accuracy, regardless of the degree of crowding. The horseshoe-shaped base exhibited reduced accuracy, particularly in severe crowding cases. These findings support the use of structured base designs. This study provides evidence-based recommendations for selecting base designs that can improve the accuracy of DLP printed models.

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