Abstract Objective To analyze the relevant risk factors causing the reduction of periodontal ligament area (PDLA) of the maxillary central incisor by measuring the PDLA before and after orthodontic treatment using a previously validated cone-beam computed tomography-periodontal ligament (CBCT-PDL) deep learning segmentation network, providing a theoretical basis for orthodontic clinical treatment design. Methods A retrospective analysis was performed on 63 patients who completed comprehensive orthodontic treatment in the Department of Stomatology, Beijing Friendship Hospital, Capital Medical University, between May 2021 and December 2022. Pre- and post-treatment CBCT images and clinical data were extracted from the hospital’s dedicated imaging database. Using the CBCT-PDL segmentation network and orthodontic measurement and analysis software, PDLA and root length (RL) of 126 maxillary central incisors, were quantified before and after orthodontic treatment. Absolute and percentage changes in PDLA (ΔPDLA and ΔPDLA%, respectively) and RL (ΔRL and ΔRL%, respectively) were calculated. Statistical analyses were conducted, including Mann-Whitney U tests, Spearman correlation analysis, Generalized Linear Mixed Model and multiple linear regression, to identify the associated predictors of reduced PDLA in maxillary incisors from risk factors including gender, age, U1-NA angle, Angle’s classification, sagittal skeletal pattern (ANB angle), vertical skeletal pattern, history of chronic periodontitis, tooth extraction status, and treatment duration. Results At the end of active orthodontic treatment, ΔPDLA and ΔPDLA% were significantly higher in the following subgroups compared with the reference group: patients with ANB angle > 3° Maxillary right central incisor (T11) ΔPDLA: 9.49(13.37) mm, Maxillary left central incisor (T21) ΔPDLA: 11.02(14.45) mm, P 2 years [T11 ΔPDLA: 9.34(14.83) mm, T21 ΔPDLA: 11.94(15.56) mm, P = 0.059; ΔPDLA%: T11 7.00 (10.87) %, T21 8.37(8.73) %, P 28.5° subgroup showed marginally significantly higher ΔPDLA [11.46(25.13) mm, P = 0.082, and patients with skeletal Class II malocclusion exhibited a marginally significantly higher ΔPDLA% T11 7.53 (12.03) %, T21 6.91(9.24) %, P = 0.059 relative to controls. Significant predictors of root resorption included adult age [T11 ΔRL: 0.63(1.30) mm, T21 ΔRL: 0.98(1.33) mm, P 0.05). Conclusion Subgroup analyses identified adulthood, pre‑treatment ∠ANB > 3°, pre‑treatment U1‑NA angle > 28.5°, tooth extraction, and treatment duration > 2 years as associated risk factors for supporting tissue loss around the teeth. Multiple linear regression further confirmed the independent effects of pre‑treatment U1‑NA angle, ∠ANB, and treatment duration on periodontal ligament area reduction. A comprehensive pre‑treatment evaluation of combined skeletal‑dental features is critical for individualized orthodontic risk stratification and clinical decision‑making.
Li et al. (Wed,) studied this question.
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