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A Finite Element Approach for Locating the Center of Resistance of Maxillary Teeth
Published on: April 8, 2020
Factors affecting the clinical approach to impacted maxillary canines: A Bayesian network analysis
Michele Nieri1, Aldo Crescini, Roberto Rotundo
1Department of Periodontology, University of Florence, Italy.
Summary
Bayesian networks revealed factors influencing impacted maxillary canine treatment. Bilateral impaction and canine angulation affected treatment duration, but not periodontal outcomes.
Area of Science:
- Dentistry
- Orthodontics
- Biostatistics
Background:
- Impacted maxillary canines present diagnostic and treatment challenges.
- Understanding factors influencing treatment outcomes is crucial for effective patient care.
Purpose of the Study:
- To apply Bayesian networks for analyzing factors affecting impacted maxillary canine diagnosis and treatment.
- To evaluate causal relationships among demographic, orthodontic, and periodontal variables.
Main Methods:
- Bayesian network analysis was employed on data from 168 patients with impacted maxillary canines.
- A combined surgical-orthodontic approach was used to reposition the impacted teeth.
- Demographic, orthodontic, and periodontal variables were systematically recorded.
Main Results:
- Successful alignment and healthy periodontium were achieved in all cases.
- Bilateral impaction correlated with palatal impaction and extended treatment duration.
- Pretreatment canine angulation (alpha-angle) predicted orthodontic traction time due to displacement severity and distance from the occlusal plane.
- Posttreatment periodontal health was independent of initial radiographic variables.
Conclusions:
- Bayesian network analysis effectively identified relationships between variables in impacted canine management.
- The study provides insights into optimizing treatment planning for impacted maxillary canines.
