Jaws Apical Base Analysis Using Cone Beam Computed Tomography
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Abstract
Background: Accurate assessment of the Mandibula apicalis and Maxilla apicalis is crucial for successful dental implantology and orthodontic treatments.Objective: This study aims to evaluate the morphological characteristics of the jaws' apical bases using Cone Beam Computed Tomography (CBCT) to enhance clinical outcomes in implantology and orthodontics.Method: A prospective study was conducted at the Department of Orthodontics, The Russian University of Medicine, from 2022 to 2024. A total of 112 patients underwent CBCT scanning. The Jaws Apical Base Analysis Using Cone Beam Computed Tomography involved measuring bone density, cortical thickness, and trabecular patterns in both the mandibular and maxillary apical bases. Statistical analyses, including descriptive statistics and regression models, were employed to correlate anatomical variations with demographic factors and clinical outcomes.Results: The CBCT analysis revealed that 68% of patients exhibited higher bone density in the Mandibula apicalis compared to the Maxilla apicalis. Cortical thickness averaged 1.2 mm in males and 0.9 mm in females, showing a significant sexual dimorphism (p < 0.05). Bone density in the mandibular region decreased by 15% with each advancing decade of age (R²=0.76). Successful implant osseointegration was achieved in 92% of cases with optimal bone density, compared to 75% in lower density areas. Additionally, patients with class I skeletal patterns showed 20% greater cortical thickness than those with class II or III malocclusions (p < 0.01). The correlation between trabecular pattern complexity and implant stability was positive, with a Pearson coefficient of 0.65 (p < 0.001).Conclusions:Jaws Apical Base Analysis Using Cone Beam Computed Tomography provides detailed insights into the anatomical variations of the apical bases, significantly predicting clinical success in dental implant procedures. These findings support the integration of CBCT in routine diagnostic protocols to optimize treatment planning and outcomes.