Abstract
ABSTRACT
Objective: The aim of this study was to provide a comparative assessment of sagittal malocclusion based on clinical dental and skeletal characteristics in a sample of the Ukrainian population and to identify cephalometric variables that are contributing factors in the formation of malocclusion in the sagittal plane.
Material and methods: The study included 200 subjects with malocclusion, aged 9–20 years. Clinical sagittal molar occlusion was determined according to Angle’s classification. Skeletal characteristics were classified based on the ANB angle. Cephalometric analysis was performed using cone-beam computed tomography. Statistical analysis was conducted using the Shapiro-Wilk hypothesis test with Welch’s t-test, the χ² criteria, and the multinomial ordinal regression model.
Results: The association between Classes I, II, III of sagittal molar occlusion and skeletal pattern ranged from 60% to 69% (χ²=82.5, p<0.001). Significant predictors for Class II included maxillary anteposition, mandibular retroposition, increased sagittal dimension of the maxilla, and reduced ramus height of the mandible. Individuals with maxillary retroposition, mandibular anteposition, increased vertical angle, reduced transverse dimension of the mandible and increased ramus height of the mandible had a greater tendency toward the formation of Class III malocclusion.
Conclusion: The findings confirm the relationship between sagittal malocclusion, the vertical component and transverse deficiency, which should be taken into account when planning orthodontic treatment.
Keywords: malocclusion, molar occlusion, skeletal pattern, cone-beam computer tomography, cephalometric analysis, regression analysis.
Recommended Citation
Yevhenii, Vyzhenko; Vira, Kuroiedova; Liudmila, Halych; and Oleksandra, Makarova
(2025)
"Comparative assessment of malocclusion in the sagittal plane based on clinical dental and skeletal characteristics,"
Journal of Dentomaxillofacial Science: Vol. 10:
Iss.
3, Article 5.
DOI: https://doi.org/10.15562/jdmfs.v10i3.2017
Available at:
https://scholarhub.unhas.ac.id/jdmfs/vol10/iss3/5
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Rights
©2025Vyzhenko Yevhenii, Kuroiedova Vira, Halych Liudmila, Makarova Oleksandra
DOI
10.15562/jdmfs.v10i3.2017