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A Morphometric and Cellular Analysis Method for the Murine Mandibular Condyle
Published on: January 11, 2018
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Three-dimensional comparison of mandibular shape variability across skeletal classes: Cross-sectional geometric
Gerardo Martínez-Suárez1, Luis Pablo Cruz-Hervert2, Socorro Aída Borges-Yáñez3
1Master's and Doctoral Program in Medical, Dental, and Health Sciences, Faculty of Dentistry, National Autonomous University of Mexico, Mexico City, Mexico.
Summary
Three-dimensional (3D) analysis reveals significant age-related changes in mandibular morphology, particularly in younger individuals. Skeletal class did not significantly impact these developmental changes in the mandible.
Area of Science:
- Craniofacial morphology
- Developmental biology
- Biomedical imaging
Background:
- Understanding mandibular morphology variability is crucial for diagnosing and treating craniofacial abnormalities.
- Previous studies have primarily used 2D methods, limiting detailed 3D analysis.
Purpose of the Study:
- To compare the 3D variability of mandibular morphology across different age groups.
- To assess the influence of skeletal classes on mandibular shape.
- To identify age-specific changes in mandibular development.
Main Methods:
- Retrospective analysis of 282 cone-beam computed tomography (CBCT) scans from individuals aged 9-50 years.
- Stratification into 6 age groups and 3 skeletal classes (I, II, III).
- Creation of 3D mandibular models, landmark digitization, generalized Procrustes analysis, and statistical evaluation (PCA, PERMANOVA, CVA).
Main Results:
- Significant differences in mandibular shape were observed across age groups (P <0.001), with pronounced changes in younger individuals.
- Age-related changes were evident in basal mandibular contour, bicondylar width, and bigonial width.
- Skeletal class (I, II, III) showed no significant effect on mandibular morphology.
Conclusions:
- Three-dimensional (3D) modeling effectively demonstrates significant age-related alterations in mandibular shape, including basal contour, transverse dimensions, and ramus morphology.
- These findings underscore the importance of age in evaluating mandibular development and highlight the utility of 3D analysis for precise morphological assessment.
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