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Validation of a digital tool for Moyers mixed dentition analysis: agreement and efficiency compared with the manual
Mariana Vasconcellos Bazoli Rodrigues1, Luciana Rougemont Squeff1, Amanda Cunha Regal de Castro1
1Universidade Federal do Rio de Janeiro, Dental School, Department of Pediatric Dentistry and Orthodontics (Rio de Janeiro/RJ, Brazil).
Introduction:
Mixed dentition analysis is essential for predicting space requirements and guiding early orthodontic decision-making. Moyers analysis is widely used due to its simplicity and clinical applicability, however, manual execution may increase execution time and introduce operator-dependent errors.
Objective:
This study aimed to develop and validate an automated digital tool based on Moyers analysis, to improve efficiency and support orthodontic education.
Material And Methods:
This cross-sectional study included 20 participants (10 undergraduate and 10 graduate dental students) who performed mixed dentition analysis on a standardized plaster model using the manual method and a software-based method at separate time points. Agreement between methods was evaluated using intraclass correlation coefficients (ICC), Bland-Altman analysis, and linear regression to assess proportional bias. Execution time was recorded and compared using paired t tests. Participant preference was also assessed.
Results:
Excellent reliability was observed (ICC > 0.95). No statistically significant differences were found between the manual and software-based methods (p > 0.05), and Bland-Altman analysis demonstrated substantial agreement without proportional bias. The software-based method reduced execution time by 38.2% (p < 0.001). All participants preferred the software-based method.
Conclusion:
The software-based method demonstrated agreement comparable to the manual Moyers analysis, while significantly reducing execution time. Its usability and efficiency support its application in orthodontic education and clinical workflow optimization.