Related Experiment Video
Updated: May 12, 2026
Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images
Published on: February 23, 2024
The validity, reliability, and time requirement of study model analysis using cone-beam computed tomography-generated
N S Luu1, M-A Mandich, C Flores-Mir
1Private practice, Dynamic Orthodontics, Leduc, AB, Canada.
Objectives:
To investigate the validity, reliability, and time spent to perform a full orthodontic study model analysis (SMA) on cone-beam computed tomography (CBCT)-generated dental models (Anatomodels) compared with conventional plaster models and a subset of extracted premolars.
Setting And Sample Population:
A retrospective sample of 30 consecutive patient records with fully erupted permanent dentition, good-quality plaster study models, and CBCT scans. Twenty-two extracted premolars were available from eleven of these patients.
Materials And Methods:
Five evaluators participated in the inter-rater reliability study and one evaluator for the intrarater reliability and validity studies. Agreement was assessed by ICC and cross-tabulations, while mean differences were investigated using paired-sample t-tests and repeated-measures anova.
Results:
For all three modalities studied, intrarater reliability was excellent, inter-rater reliability was moderate to excellent, validity was poor to moderate, and performing SMA on Anatomodels took twice as long as on plaster.
Conclusions:
Study model analysis using CBCT-generated study models was reliable but not always valid and required more time to perform when compared with plaster models.
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